@article{2-s2.0-85185194935,

title = {Application of the machine learning methods for GRACE data based groundwater modeling, a systematic review},

author = { V. Nourani and N. Jabbarian Paknezhad and A. Ng and Z. Wen and D. Dąbrowska and S. Üzelaltınbulat},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185194935&doi=10.1016%2fj.gsd.2024.101113&partnerID=40&md5=31ffb9e697ef0087b9d0a3c0763cdf36},

doi = {10.1016/j.gsd.2024.101113},

issn = {2352801X},

year  = {2024},

date = {2024-01-01},

journal = {Groundwater for Sustainable Development},

volume = {25},

publisher = {Elsevier B.V.},

abstract = {The Gravity Recovery and Climate Experiment (GRACE) data has brought significant advancements in groundwater (GW) analysis by providing crucial information about changes in the gravity field of Earth and water storage. GRACE data are instrumental in understanding GW dynamics, monitoring aquifer depletion, and assessing water resource management strategies for sustainable utilization. Nevertheless, comprehensive reviews focusing specifically on studies related to GRACE data are lacking. In this paper, 90 original papers were considered from 2002 to 2023, which utilized machine learning (ML) methods for Downscaling GRACE (DG) and also Modeling and Forecasting GW via GRACE data (MFGG). Papers were obtained from Scopus and Web of Science databases. A total of 78% and 22% of the analyzed papers focused on DG and MFGG, respectively. The investigation of the papers revealed that the majority employed the random forest (RF) method. Subsequently, gradient boosting (GB), deep learning, and artificial neural network (ANN) methods were the most commonly applied ML techniques, respectively. The selection of input parameters has a significant impact on the modeling performance. Of the papers examined, approximately 62.5% incorporated precipitation as an input, whereas evapotranspiration and temperature were utilized in 40% and 43.75% of the cases, respectively. The results of the analysis demonstrated the capability of ML models for DG and MFGG. After investigating different studies on the application of GRACE data in DG and MFGG, it was concluded that only a few studies considered the adaptation of GRACE data trend and manner with the observed and in situ values of the wells; however, it is important to consider their compatibility in order to achieve accurate results. Moreover, it is suggested to leverage development in ML, as well as progress in computation and ensembling, to be integrated with physics-based models and harness new information for the GRACE data and GW assessment. © 2024 Elsevier B.V.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85183187336,

title = {Groundwater Chemical Status Assessment in the Area of the Waste Landfill in Chorzów—Southern Poland},

author = { M. Lalik and D. Dąbrowska},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183187336&doi=10.3390%2fsu16020763&partnerID=40&md5=7636470130590698ba5ced4e1a05c788},

doi = {10.3390/su16020763},

issn = {20711050},

year  = {2024},

date = {2024-01-01},

journal = {Sustainability (Switzerland)},

volume = {16},

number = {2},

publisher = {Multidisciplinary Digital Publishing Institute (MDPI)},

abstract = {In this study, the spatiotemporal variation of water pollution near a municipal solid waste landfill in Chorzow (southern Poland) was investigated. For this purpose, analyses of electrolytic conductivity, sulfates, chlorides, nitrates, ammonium ion, and boron were performed. The landfill water pollution index (LWPI) and Nemerow Pollution Index (NPI) were calculated on the basis of groundwater monitoring results for the study area. The results indicated very high pollution in each piezometer. The value of the LWPI index for the piezometer located at the groundwater outflow from the landfill exceeded 320, and values exceeding five indicate a high risk to groundwater. In the case of the NPI index, the value reached nearly 44, which also indicates a high risk. The structure of both indices allows for the assessment of the level of threat to groundwater in areas of pollution sources. However, the NPI index highlights the contribution of parameters other than main ions to total water pollution. The use of indexes in assessing the quality of groundwater around pollution hotspots is very helpful in waste management, as it allows for determining the degree of threat to water, and thus can help in implementing additional preventive solutions. © 2024 by the authors.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85183132386,

title = {Groundwater Quality Assessment in the Area of the Zinc Smelter in Miasteczko Śląskie (Poland) Using Selected Metal Indices},

author = { A.J. Witkowski and D. Dąbrowska and J. Wróbel},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183132386&doi=10.3390%2fw16020279&partnerID=40&md5=45dbd047a1b654756c62d0d85c793231},

doi = {10.3390/w16020279},

issn = {20734441},

year  = {2024},

date = {2024-01-01},

journal = {Water (Switzerland)},

volume = {16},

number = {2},

publisher = {Multidisciplinary Digital Publishing Institute (MDPI)},

abstract = {Groundwater quality assessment in the region of potential pollution sources can be performed through the use of index-based methods. The aim of this paper was to present the results of the groundwater quality assessment in the region of the zinc smelter in Miasteczko Śląskie (southern Poland) for the Quaternary aquifer based on monitoring data from 2000, 2011, and 2022. The following parameters were used in the analysis: Pb, Cd, Ni, Cu, Fe, Mn, and Zn. Three indices were calculated, i.e., the landfill water pollution index (LWPI), heavy metal pollution index (HPI), and metal index (MI). The values of the indicators suggest that in the described study area, there are waters that are under the strong influence of the zinc smelter infrastructure and landfills. The highest values obtained are about 17 for LWPI, about 66 for HPI, and about 133 for MI. These values indicate significant anthropogenic pollution of the groundwater of the Quaternary aquifer in the study area. Taking into account the values obtained for all three indices, it can be concluded that the HPI indicator is the least reliable due to the need to select two limit values (background and ideal content in waters for each of the parameters), which would suggest that in some cases, waters are not very contaminated. The other two indices show similarities (mainly in their spatial distribution), and only the choice of parameters determines which of the indices should be used. A comparison of the results of local groundwater quality monitoring with the results of the calculated indices indicate that the values of the calculated MI indices are closest to the actual water quality status. © 2024 by the authors.},

note = {1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85175043003,

title = {A New Multi-Objective Genetic Programming Model for Meteorological Drought Forecasting},

author = { M. Reihanifar and A. Danandeh Mehr and R. Tür and A.T. Ahmed and L.M.Q. Abualigah and D. Dąbrowska},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175043003&doi=10.3390%2fw15203602&partnerID=40&md5=5951f90edda7577bf656add322ef161a},

doi = {10.3390/w15203602},

issn = {20734441},

year  = {2023},

date = {2023-01-01},

journal = {Water (Switzerland)},

volume = {15},

number = {20},

publisher = {Multidisciplinary Digital Publishing Institute (MDPI)},

abstract = {Drought forecasting is a vital task for sustainable development and water resource management. Emerging machine learning techniques could be used to develop precise drought forecasting models. However, they need to be explicit and simple enough to secure their implementation in practice. This article introduces a novel explicit model, called multi-objective multi-gene genetic programming (MOMGGP), for meteorological drought forecasting that addresses both the accuracy and simplicity of the model applied. The proposed model considers two objective functions: (i) root mean square error and (ii) expressional complexity during its evolution. While the former is used to increase the model accuracy at the training phase, the latter is assigned to decrease the model complexity and achieve parsimony conditions. The model evolution and verification procedure were demonstrated using the standardized precipitation index obtained for Burdur City, Turkey. The comparison with benchmark genetic programming (GP) and multi-gene genetic programming (MGGP) models showed that MOMGGP provides the same forecasting accuracy with more parsimony conditions. Thus, it is suggested to utilize the model for practical meteorological drought forecasting. © 2023 by the authors.},

note = {2},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85173237796,

title = {The impact of weather conditions on the quality of groundwater in the area of a municipal waste landfill},

author = { D. Dąbrowska and W. Rykala and V. Nourani},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173237796&doi=10.2478%2fenviron-2023-0013&partnerID=40&md5=cf63cfcc4888ae9b8aee69106a5697a1},

doi = {10.2478/environ-2023-0013},

issn = {23540079},

year  = {2023},

date = {2023-01-01},

journal = {Environmental and Socio-Economic Studies},

volume = {11},

number = {3},

pages = {14-21},

publisher = {Sciendo},

abstract = {The quality of groundwater in the source area of pollution depends on many factors, including the weather and hydrogeological conditions within the given area. Anassessment of water quality can be carried out based on data obtained from sensors placed in boreholes. This research examined the influence of air and water temperature, groundwater table position and precipitation on the value of electrical conductivity in groundwater in a selected piezometer belonging to the monitoring network of the Quaternary aquifer in the area of a waste landfill site in Tychy-Urbanowice in southern Poland. The influence of individual factors was checked by using twenty neural network architectures of a Multilayer Perceptron Model (MLP). Each of these indicated factors were selected as input variables. Ultimately, three neural networks were selected, which were characterized by the smallest validation and test errors and showed the highest learning quality. The significance of individual variables for the effectiveness of the model was checked using a global sensitivity analysis. Three selected MLP models contained seven to nine neurons in the hidden layer and used a linear or exponential function as the hidden and output activation. The maximum test quality was 0.8369, while the smallest test error was 0.0011. The results of the sensitivity analysis highlighted the important role of water temperature and water table position on the conductivity value. The obtained goodness of fit results of the models to the input data allowed us to conclude that the MLP was applicable to such forecasts and can be extended by the analysis of further factors. © 2023 Dominika Dabrowska et al., published by Sciendo.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85162229004,

title = {Risk assessment for the prevention of managed aquifer recharge (MAR) facility failure during the operation and the expansion phases},

author = { S.S. Sitek and K. Janik and D. Dąbrowska and J. Różkowski and G. Wojtal and J. Mukawa and A. Jarosław Witkowski and S. Jakóbczyk-Karpierz},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85162229004&doi=10.1016%2fj.jhydrol.2023.129591&partnerID=40&md5=5b03919dc0e62351a4f849e024d847ca},

doi = {10.1016/j.jhydrol.2023.129591},

issn = {00221694},

year  = {2023},

date = {2023-01-01},

journal = {Journal of Hydrology},

volume = {621},

publisher = {Elsevier B.V.},

abstract = {This comprehensive risk assessment, done for a MAR facility in Tarnów, southern Poland, covers two MAR techniques: infiltration ditches and induced bank filtration during the operation and planned potential expansion phases. Two methods were applied: the semi-quantitative risk assessment matrix and the probabilistic risk assessment – fault tree analysis (PRA-FTA), and their advantages and limitations analysed. Both methods examine a range of technical and non-technical risks that may pose a threat to the efficient functioning of the MAR facility in Tarnów, which supplies about 25% of the city's population with drinking water. It was found that 34 of the 65 risks analysed could pose a low to high risk for the Świerczków well field. The predominant risks potentially reducing MAR efficiency or leading to MAR failure are technical ones. According to the PRA-FTA method, if no preventive measures are taken, there is a 99.5 and 99.3% probability of the MAR system failing during the operational and expansion phases, respectively. The results indicate that the most serious risk is associated with the insufficient initial removal from the recharge river water of suspended solids, which clog infiltration ditches. The risks scored as medium relate to the threat of groundwater inflow from an extensive industrial zone, lying to the east of the well field, and to climate change negatively affecting the quantity of groundwater resources. This is the first example in Poland of a risk assessment for an existing MAR facility and its expansion, based on a broad spectrum of technical and non-technical risks present at the Świerczków well field, using two methods: the risk assessment matrix and PRA-FTA. This case study is a practical example of how to perform a risk analysis for a MAR site. It can make an important contribution to existing knowledge in this field and enrich the subject literature, a particularly relevant aspect given the widespread use of MAR techniques in Central Europe for the supply of drinking water to the public. © 2023 Elsevier B.V.},

note = {1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85158092760,

title = {Drought Monitoring and Forecasting across Turkey: A Contemporary Review},

author = { D. Soylu Pekpostalci and R. Tür and A. Danandeh Mehr and M.A. Vazifekhah Ghaffari and D. Dąbrowska and V. Nourani},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158092760&doi=10.3390%2fsu15076080&partnerID=40&md5=c29d355b18e028a6ff873b2fb2df2b66},

doi = {10.3390/su15076080},

issn = {20711050},

year  = {2023},

date = {2023-01-01},

journal = {Sustainability (Switzerland)},

volume = {15},

number = {7},

publisher = {MDPI},

abstract = {One of the critical consequences of climate change at both local and regional scales is a change in the patterns of extreme climate events such as droughts. Focusing on the different types of droughts, their quantifying indices, associated indicators, and sources of data (remote sensing (RS)/in situ measurements), this article reviewed the recent studies (from 2010 to 2022) that have explored drought features in Turkey. To this end, a total of 71 articles were selected from the Web of Science (WoS) and Scopus databases. The selected papers were clustered into two categories: (i) drought monitoring studies and (ii) drought forecasting articles. Then, the representative papers were reviewed in detail regarding the implemented indices, models (techniques), case study area, and source of the indicators used to derive drought indices. The review results showed that most of the studies aimed at meteorological drought monitoring and forecasting. An increasing trend was also observed in the use of machine learning for short-term meteorological and hydrological drought prediction. On the other hand, the emerging RS technology and satellite-driven indicators were rarely used in the country. The review showed that there is room for more research on agricultural and hydrological drought monitoring, forecasting, and pattern detection in Turkey. © 2023 by the authors.},

note = {11},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85152589611,

title = {Causes, Types and Consequences of Municipal Waste Landfill Fires—Literature Review},

author = { D. Dąbrowska and W. Rykala and V. Nourani},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152589611&doi=10.3390%2fsu15075713&partnerID=40&md5=1e2adcf8a3afb8aa242d8454ea1aac67},

doi = {10.3390/su15075713},

issn = {20711050},

year  = {2023},

date = {2023-01-01},

journal = {Sustainability (Switzerland)},

volume = {15},

number = {7},

publisher = {MDPI},

abstract = {The amount of municipal waste produced worldwide has seen a significant increase in recent years. The need to store waste is a significant problem in the context of environmental threats and spatial development. Due to the fact that the easiest way to reduce the amount of waste is to incinerate it, and despite the fact that waste incineration plants have existed since the late 1800s, the amount of illegal waste burning and landfills has also increased. Subsurface landfill fires are particularly dangerous, as they can affect the structure of the landfill. Methane also plays an important role in fires as it is flammable and contributes to the spread of fire. In addition, the leachate from incinerated waste is much more dangerous than the leachate from waste in its natural state. The effluents from incinerated waste include heavy metals and persistent organic pollutants, as well as sulphates, chlorides, and polycyclic aromatic hydrocarbons. Other pollutants also end up in the atmosphere. The aim of this article is to present the problem of landfill fires and their impact on air, soil, and water, based on a review of the selected documented fires as well as indicators of fires in the areas in which the authors of this article conducted their research. The article presents an overview of methods and tests, such as dynamic leaching tests, monitoring tests, and lysimetric tests, all of which can be implemented to prevent fires as well as for research purposes after a fire has occurred, so that this article can be utilitarian not only for researchers, but also for decision makers. © 2023 by the authors.},

note = {1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85144863183,

title = {Groundwater and Human Health Risk Assessment in the Vicinity of a Municipal Waste Landfill in Tychy, Poland},

author = { D. Dąbrowska and A.J. Witkowski},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144863183&doi=10.3390%2fapp122412898&partnerID=40&md5=43ec1871dff54c18963ca45f31496c79},

doi = {10.3390/app122412898},

issn = {20763417},

year  = {2022},

date = {2022-01-01},

journal = {Applied Sciences (Switzerland)},

volume = {12},

number = {24},

publisher = {MDPI},

abstract = {Groundwater quality and human health assessment in the vicinity of landfills can be performed with the use of numerous index methods. The aim of this paper is to present the results of the Environmental Risk Assessment (ERA) and Health Risk Assessment (HRA) in the vicinity of a municipal landfill complex for monitoring data from 1995, 2003, 2010, and 2021 and in the context of average statistical data about Poles. The calculations take into account an extended range of parameters, including sulphates, chlorides, and ammonium ions. The calculation results for the Horizontal ratio indicate that it should not be used for all parameters. This was mainly reflected in the low sulfate content of the water monitored by a piezometer directly below the old landfill. Other indicators, reaching as high as around 2000 (the Nemerow Pollution Index) or approx. 18,000 (the enrichment factor), confirm the negative impact of the landfill. The Hazard Index values reached almost 700, which would indicate a high risk to human health when consuming water with similar parameters. Overall, the results illustrate that using the selected indices to assess groundwater risk can be a valuable method for supporting long-term observations of groundwater quality, which can be used to make predictions using artificial intelligence methods. © 2022 by the authors.},

note = {1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85140926709,

title = {The Influence of a Fire at an Illegal Landfill in Southern Poland on the Formation of Toxic Compounds and Their Impact on the Natural Environment},

author = { W. Rykala and M.J. Fabiańska and D. Dąbrowska},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140926709&doi=10.3390%2fijerph192013613&partnerID=40&md5=bad9af6e1cbbd4b23282d3e512249b57},

doi = {10.3390/ijerph192013613},

issn = {16617827},

year  = {2022},

date = {2022-01-01},

journal = {International Journal of Environmental Research and Public Health},

volume = {19},

number = {20},

publisher = {MDPI},

abstract = {Landfill fires pose a real threat to the environment as they cause the migration of pollutants to the atmosphere and water sources. A greater risk is observed in the case of wild landfills, which do not have adequate isolation from the ground. The aim of this article is to present the results of studies on the toxicity of waste from a fire in a landfill in Trzebinia (southern Poland). Both soil and waste samples were investigated. The samples were analyzed using the GC-MS method and the leachates using ICP-OES. A total of 32 samples of incinerated waste and soil were collected. The organic compounds included naphthalene, fluorene, phenanthrene, anthracene, acenaphthene, acenaphthylene, fluoranthene, pyrene, benzo (c) phenanthrene, benzo (a) anthracene, chrysene, benzo (ghi) fluoranthene, benzo (b + k) fluoranthene, benzo (a) fluoranthene, benzo (c) fluoranthene, benzo (a) pyrene, benzo (e) pyrene, perylene, indeno[1;2;3-cd] pyrene, benzo (ghi) perylene, and dibenzo (a + h) anthracene. Among the inorganic parameters, sulfates, chlorides, arsenic, boron, cadmium, copper, lead, and zinc were taken into account. Phenanthrene reached values exceeding 33 mg/L. Fluoranthene dominated in most of the samples. Sulfates and chlorides were present in the samples in concentrations exceeding 400 and 50 mg/L, respectively. Compounds contained in burnt waste may have a negative impact on soil and water health safety. Therefore, it is important to conduct research and counteract the negative effects of waste fires. © 2022 by the authors.},

note = {2},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85136709506,

title = {In situ lysimeter experiment of leaching pollutants from municipal waste with physicochemical status and microbiome condition},

author = { D. Dąbrowska and A. Nowak and M. Sołtysiak and P. Biniecka and V. Nourani and D. Wasilkowski},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136709506&doi=10.1016%2fj.jhydrol.2022.128309&partnerID=40&md5=86b0fd0a3fdccec0f1355a3f60e2397a},

doi = {10.1016/j.jhydrol.2022.128309},

issn = {00221694},

year  = {2022},

date = {2022-01-01},

journal = {Journal of Hydrology},

volume = {613},

publisher = {Elsevier B.V.},

abstract = {Lysimeter tests are an ideal supplement to monitoring tests performed in the area of landfills. This article presents an interdisciplinary lysimeter experiment that used hydrogeological, biochemical, and microbiological studies to evaluate the process of leaching pollutants from waste. The obtained results of leachate tests indicate that the EC value was as high as 31 mS/cm which corresponds to poor water quality. Additionally, high concentrations of chlorides (up to 5095 mg/L) and sulphates (up to 10107 mg/L) were observed. The results of microbiological tests confirm the seasonality. The statistically significant (p < 0.05) difference in the number of heterotrophic bacteria was denoted between autumn (1.6·107 CFU cm-3) and winter (1.5·105 CFU cm-3.The analysis of the ability to utilize nitrogen and phosphorus sources showed seasonal differences in the use of substrates containing these biogenic elements. It was observed that nitrogen-containing compounds were most intensively used in winter and the least in spring while phosphorus compounds were the most intensively oxidized in summer. Presented results confirm that lysimeter studies can play a valuable role in the construction of landfills for the best method of waste isolation and limiting the growth of microorganisms. © 2022 The Author(s)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85144082068,

title = {AI-based ensemble modeling of landfill leakage employing a lysimeter, climatic data and transfer learning},

author = { A.H. Baghanam and A.T. Vakili and V. Nourani and D. Dąbrowska and M. Sołtysiak},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144082068&doi=10.1016%2fj.jhydrol.2022.128243&partnerID=40&md5=77b3ff8c6ddb258c39f56d5a46f50490},

doi = {10.1016/j.jhydrol.2022.128243},

issn = {00221694},

year  = {2022},

date = {2022-01-01},

journal = {Journal of Hydrology},

volume = {612},

publisher = {Elsevier B.V.},

abstract = {Predicting leachate pollutants is of prime importance in detecting the amount of pollution in water resources adjacent to sources of leakage. In this study, Electrical Conductivity (EC) as a physicochemical water pollution parameter with the possibility of portable measurement was used as an indicator of leachate quality for the Tychy-Urbanowice operating and closed landfill complex. In order to simulate landfill conditions, two lysimeter experiments were conducted simultaneously. Using sensors mounted in the lysimeters, from the end of November 2018 to the end of December 2019, EC, waste temperature and waste moisture were measured for the open lysimeter and only waste moisture for the closed lysimeter. Additionally, meteorological data obtained from the nearest synoptic station and soil moisture and temperature acquired from the GLDAS satellite were employed as external data to analyze various conditions. Thereafter, Artificial Neural Network (ANN), Neuro-Fuzzy Inference System (ANFIS), and Emotional ANN (EANN) models were developed to determine the parameters affecting the EC value recorded for the open lysimeter and subsequently, predict the missing EC parameter of the closed lysimeter by employing the transfer learning method. Following that, in order to improve the precision of EC predictions, ensemble techniques were applied to the outputs of the models that were developed. The results showed that the moisture of the lysimeters made a significant contribution to the EC value prediction. It is worth mentioning that among ANN, ANFIS, and EANN, the EANN model yielded more precise results in EC estimation, with the average DC above 0.80 and 0.90 for individual and ensembled modeling in both the training and verification phases, respectively. © 2022},

note = {1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85128206161,

title = {Groundwater quality testing in the area of municipal waste landfill sites in Dibrowa Górnicza (southern Poland)},

author = { M. Lukasik and D. Dąbrowska},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128206161&doi=10.2478%2fenviron-2022-0002&partnerID=40&md5=ac672eafd95903f536d6a4895c11a584},

doi = {10.2478/environ-2022-0002},

issn = {23540079},

year  = {2022},

date = {2022-01-01},

journal = {Environmental and Socio-Economic Studies},

volume = {10},

number = {1},

pages = {13-21},

publisher = {De Gruyter Open Ltd},

abstract = {Groundwater quality assessment for pollution can be undertaken with the use of indicators that will confirm or deny the negative impact of potential pollution sources. Based on water quality monitoring data from the Lipowka I and Lipowka II municipal landfill sites in Dabrowa Gornicza from the last five years, the water quality in the area was assessed using the Nemerow Pollution Index (NPI) method. Seven parameters were assessed - pH, electrical conductivity, and the concentrations of chlorides, sulphates, ammonium ions, boron and iron. The limits for class III water quality were used as the reference level. The results of the NPI calculations show that the highest indices were obtained for the piezometers PZ5 and T5 located in the outflow of the water from the Lipowka I landfill site. The highest values of the Nemerow index were obtained for ammonium ions and reached a value of over 36 in the PZ5 piezometer and 17 in the T5 piezometer. The other parameters did not indicate a significant impact of the landfill sites on the quality of groundwater. The highest values of the indicators were observed in 2017. It is worth noting that, apart from the large differences in the content of ammonium ions, the values of the Nemerow indices for the electrical conductivity specifically for the PZ5 piezometer are twice as high as for the other piezometers and four times higher than for boron. The Nemerow index is a useful and easy method of assessing the quality of groundwater. It can even be used for a small number of parameters. © 2022 Martyna Lukasik et al., published by Sciendo.},

note = {3},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85145074142,

title = {THE LIPÓWKA LANDFILLS: A CASE STUDY IN GROUNDWATER QUALITY ASSESSMENT [SKŁADOWISKA LIPÓWKA: STUDIUM PRZYPADKU W OCENIE JAKOŚCI WÓD PODZIEMNYCH]},

author = { D. Dąbrowska},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145074142&doi=10.15576%2fASP.FC%2f2022.21.1.57&partnerID=40&md5=0ed87da70c51a9542e6f08e0bccd2423},

doi = {10.15576/ASP.FC/2022.21.1.57},

issn = {16440765},

year  = {2022},

date = {2022-01-01},

journal = {Acta Scientiarum Polonorum, Formatio Circumiectus},

volume = {21},

number = {1},

pages = {57-68},

publisher = {Publishing House of the University of Agriculture in Krakow},

abstract = {Aim of the study Groundwater quality monitoring tests in the area of pollution sources constitute one of the elements of the assessment of groundwater vulnerability. The aim of the present article is to designate a suitable index for the assessment of water quality, and to specify an appropriate value of the hydrochemical background. Material and methods The quality of groundwater in the region of the municipal landfills in Dąbrowa Górnicza (southern Poland) was assessed in the context of the content of ammonium, chlorides, sulphates, iron, and electric conductivity values. The level of the contamination of groundwater was determined on the basis of the monitoring data from 2016–2020. The research used the Landfill Water Pollution Index (LWPI) and the Nemerow index (NI). In order to determine the reliability of the methods used, three different values of the hydrochemical background were considered. Results and conclusions The results of the analyses show that the values of the Nemerow index are markedly higher than the LWPI index. Additionally, the highest values of the indicators were obtained when comparing the obtained results to the hydrochemical background from the 1980s. The maximum values of the indicators were approx. 156 (LWPI) and approx. 721 (NI) for the PZ4 piezometer located east of the landfills. The differentiated results of the index values, depending on the selection of the background value and the assignment of individual weights, suggest that for this type of transformed area it is problematic to indicate the value of the hydrochemical background for which the index values would be representative. © Copyright by Wydawnictwo Uniwersytetu Rolniczego w Krakowie, Kraków 2022.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85124946868,

title = {Application of Z-numbers to teleconnection modeling between monthly precipitation and large scale sea surface temperature},

author = { H. Najafi and V. Nourani and E. Sharghi and K. Roushangar and D. Dąbrowska},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124946868&doi=10.2166%2fNH.2021.025&partnerID=40&md5=138ea4abdc6435e28a2c9e68e9dec93c},

doi = {10.2166/NH.2021.025},

issn = {19989563},

year  = {2022},

date = {2022-01-01},

journal = {Hydrology Research},

volume = {53},

number = {1},

pages = {1-13},

publisher = {IWA Publishing},

abstract = {The teleconnection modeling of hydro-climatic events is a complex problem with highly uncertain circumstances. In contrast to the classic fuzzy logic methods, by using the Z-number in addition to the constraint of information, and by evaluating the data reliability, it is possible to characterize the degree of ambiguity of data. In this regard, this study investigates the performance of the Z-number-based model (ZBM) in prediction of classified monthly precipitation (MP) events of two synoptic stations in Iran (up to five months in advance). To this end, the sea surface temperature (SST) of adjacent seas was used as a predictor. The suggested model, by using Z-number directly and applying fuzzy Hausdorff distance to determine weights of if-then rules, predicted MP events of both the stations with over 70% confidence. Analysis of the results in the test step showed that the ZBM compared to the traditional fuzzy approach improved the results by 69% for Kermanshah and 112% for Tabriz. Overall, the Z-number concept by assessing events reliability can be used in various sectors of water resources management such as decision-making and drought monitoring. © 2022 The Authors.},

note = {7},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85122737709,

title = {Linking Spatial–Temporal Changes of Vegetation Cover with Hydroclimatological Variables in Terrestrial Environments with a Focus on the Lake Urmia Basin},

author = { E. Foroumandi and V. Nourani and D. Dąbrowska and S.A. Kantoush},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122737709&doi=10.3390%2fland11010115&partnerID=40&md5=079791c1ee2a00e57d0eeff62bab2538},

doi = {10.3390/land11010115},

issn = {2073445X},

year  = {2022},

date = {2022-01-01},

journal = {Land},

volume = {11},

number = {1},

publisher = {MDPI},

abstract = {Investigation of vegetation cover is crucial to the study of terrestrial ecological environments as it has a close relationship with hydroclimatological variables and plays a dominant role in preserving the characteristics of a region. In Iran, the current study selected the watersheds of two rivers, Nazloo-Chay and Aji-Chay, to systematically investigate the implications and causes of vegetation cover variations under changing environments. These two rivers are among the essential inflows to Lake Urmia, the second largest saline lake on Earth, and are located on the west and east sides of the lake, respectively. There has been a debate between the people living in the rivers’ watersheds about who is responsible for the decline in the level of Lake Urmia—does responsibility fall with those on the east side or with those on the west side? In this study, the normalized difference vegetation index (NDVI) was used as a remotely sensed index to study spatial–temporal pattern changes in vegetation. Moreover, the temperature, precipitation, and streamflow time series were gathered using ground measurements to explore the causes and implications of changing vegetation cover. Discrete wavelet transform was applied to separate the different components of the time series. The Mann–Kendall (MK) test was applied to the time series on monthly, seasonal, and annual time scales. The connections and relationship between the NDVI time series and temperature, pre-cipitation, and streamflow time series and any underlying causes were investigated using wavelet transform coherence (WTC). Land use maps were generated for different years using a support vector machine (SVM) in the final stage. The results indicated that the most dominant monthly, seasonal, and annual hydrological periodicities across the watersheds are 8 months, 6 months, and 2 years, respectively. The increasing vegetation cover during stable hydro-environmental periods revealed unusual conditions in the Aji-Chay watershed and reflected agricultural expansion. The WTC graphs indicated sudden changes in mutual periodicities and time-lags with different patterns between variables, which indicates the increasing anthropogenic activities in both watersheds. However, this was more dominant in the Aji-Chay watershed. The land use maps and investigation of the averaged NDVI maps also denoted that the areas of cultivated land have increased by 30% in the Aji-Chay watershed, and crop types have been changed to the crops with a higher demand for water in both watersheds. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.},

note = {11},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85120779808,

title = {The applications of soft computing methods for seepage modeling: A review},

author = { V. Nourani and N. Behfar and D. Dąbrowska and Y. Zhang},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120779808&doi=10.3390%2fw13233384&partnerID=40&md5=ca67f93e79e4aed219aeefaeb0daa2fa},

doi = {10.3390/w13233384},

issn = {20734441},

year  = {2021},

date = {2021-01-01},

journal = {Water (Switzerland)},

volume = {13},

number = {23},

publisher = {MDPI},

abstract = {In recent times, significant research has been carried out into developing and applying soft computing techniques for modeling hydro-climatic processes such as seepage modeling. It is necessary to properly model seepage, which creates groundwater sources, to ensure adequate management of scarce water resources. On the other hand, excessive seepage can threaten the stability of earthfill dams and infrastructures. Furthermore, it could result in severe soil erosion and consequently cause environmental damage. Considering the complex and nonlinear nature of the seepage process, employing soft computing techniques, especially applying pre-post processing techniques as hybrid methods, such as wavelet analysis, could be appropriate to enhance modeling efficiency. This review paper summarizes standard soft computing techniques and reviews their seepage modeling and simulation applications in the last two decades. Accordingly, 48 research papers from 2002 to 2021 were reviewed. According to the reviewed papers, it could be understood that regardless of some limitations, soft computing techniques could simulate the seepage successfully either through groundwater or earthfill dam and hydraulic structures. Moreover, some suggestions for future research are presented. This review was conducted employing preferred reporting items for systematic reviews and meta-analyses (PRISMA) method. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.},

note = {4},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85103496439,

title = {The use of the contamination index and the lwpi index to assess the quality of groundwater in the area of a municipal waste landfill},

author = { T. Knopek and D. Dąbrowska},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103496439&doi=10.3390%2ftoxics9030066&partnerID=40&md5=f3d216026764e1caf937cb5699272afa},

doi = {10.3390/toxics9030066},

issn = {23056304},

year  = {2021},

date = {2021-01-01},

journal = {Toxics},

volume = {9},

number = {3},

publisher = {MDPI AG},

abstract = {Environmental degradation caused by the migration of pollutants from landfills is one of the biggest problems for urban areas. Systematic monitoring of groundwater in the vicinity of waste dumps allows for an assessment of the degree of risk to the soil and water environment. In this paper, spatiotemporal variation of groundwater pollution near a municipal landfill in Sosnowiec (southern Poland) was investigated. For this purpose, the monitoring results of five physicochemical indicators from 2014–2019 were used. This study presents an example of the application of the Landfill Water Pollution Index (LWPI) and the Cd Contamination Index. The obtained results indicated that the tested waters were negatively influenced by municipal landfills, especially in the southern part (piezometers P8 and P10). The values of the Contamination Index even reached a value equal of about 1400, while the values of the LWPI index reached 305. Significantly lower values of both indicators were obtained using the results of monitoring studies for other piezometers located upstream from the landfill but belonging to the observation network of a neighboring facility. The indices used permit a determination of the level of groundwater contamination from the described landfill and can be used in similar research areas. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.},

note = {3},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85103041404,

title = {Assessment of changes in the quality of ground water in the area of landfill site in Poczesna (South Poland) using the LWPI index},

author = { M. Gorzelak and D. Dąbrowska},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103041404&doi=10.2478%2fenviron-2021-0004&partnerID=40&md5=08d66d28df37b14073d48a973f50d32b},

doi = {10.2478/environ-2021-0004},

issn = {23540079},

year  = {2021},

date = {2021-01-01},

journal = {Environmental and Socio-Economic Studies},

volume = {9},

number = {1},

pages = {35-43},

publisher = {De Gruyter Open Ltd},

abstract = {Municipal waste landfill is a potential, or actual, source of groundwater pollution. Even landfill with a ground containment system can generate leachate that will migrate to aquifers. In this context, it is important to monitor water and leachate and to rationally analyze the existing situation. The purpose of this article was to assess groundwater contamination in the region of the municipal landfill site in Poczesna (Southern Poland) using the Landfill Water Pollution Index (LWPI). Certain physicochemical parameters such as pH, electrical conductivity (EC), total organic carbon (TOC), polycyclic aromatic hydrocarbon (PAH), Cd, Pb, Zn, Cu, Cr, and Hg, were analyzed from samples from six piezometers in the years 2015-2019. The LWPI index values in the groundwater samples ranged from 0.97 to 3.11 (P<0.05). Indicator values that are within the range 2-5 reflect poor water quality with a high visible landfill impact, and those >5 suggest strongly polluted water with a very high landfill impact. The results of this study indicated that the quality of the groundwater in the area around the landfill was better in the case of the Jurassic aquifer compared to the Quaternary aquifer. The results provided by this index are very useful in the context of a quick assessment of groundwater quality. For the purposes of further risk analyses, it is important to consider other variables (chemical components) which can influence groundwater quality in the region of municipal landfill sites. © 2021 Mateusz Gorzelak et al., published by Sciendo 2021.},

note = {2},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85100765462,

title = {A review of lysimeter experiments carried out on municipal landfill waste},

author = { D. Dąbrowska and W. Rykala},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100765462&doi=10.3390%2ftoxics9020026&partnerID=40&md5=16d9c74bae204beaae2acea205ae2ac1},

doi = {10.3390/toxics9020026},

issn = {23056304},

year  = {2021},

date = {2021-01-01},

journal = {Toxics},

volume = {9},

number = {2},

pages = {1-13},

publisher = {MDPI AG},

abstract = {The groundwater risk assessment in the vicinity of landfill sites requires, among others, representative monitoring and testing for pollutants leaching from the waste. Lysimeter studies can serve as an example of dynamic leaching tests. However, due to the bacteriological composition of the municipal waste, they are rarely carried out. These tests allow for the proper design of the landfill protection system against migration of pollutants into the ground, assessment of bacteriological, biochemical and chemical risk for the groundwater, determination of the water balance of leachate as well as examination of the course of processes taking place in the waste landfill with a diversified access to oxygen. This paper addresses the issue of performing lysimeter studies on a sample of municipal waste in various scientific centers. It analyzes the size of lysimeters, their construction, the method of water supply, the duration of the experiment, the scope of research, and the purpose of lysimeter studies. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.},

note = {3},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85099772763,

title = {Ecological-environmental quality estimation using remote sensing and combined artificial intelligence techniques},

author = { V. Nourani and E. Foroumandi and E. Sharghi and D. Dąbrowska},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099772763&doi=10.2166%2fhydro.2020.048&partnerID=40&md5=c6872f91adbeb234c3deffa8eb0a5c57},

doi = {10.2166/hydro.2020.048},

issn = {14647141},

year  = {2021},

date = {2021-01-01},

journal = {Journal of Hydroinformatics},

volume = {23},

number = {1},

pages = {47-65},

publisher = {IWA Publishing},

abstract = {Ecological-environmental quality was evaluated for Tabriz and Rasht cities (in Iran) with different climate conditions using artificial intelligence (AI) and remote sensing (RS) techniques. Sampling sites were surveyed and ecological experts assigned eco-environment background values (EBVs) of sites. Then, eco-environmental attributes were extracted as RS derived, and meteorological attributes were observed. Three AI-based models, artificial neural network (ANN), support vector regression (SVR), and adaptive neuro-fuzzy inference system (ANFIS) were then applied to learn the relationship between a target set of known EBVs and eco-environmental attributes as inputs. According to the results of the single models, none of the models could evaluate EBV appropriately for all regions and classes. Thereafter, three combining techniques were applied to the outputs of single models to enhance spatial evaluation of EBV. It was observed that the modeling for Tabriz led to more accurate results. It seems that the better network performance for Tabriz may be due to a more heterogeneous dataset in this kind of climate. Furthermore, results indicated that SVR led to better performance than both ANN and ANFIS models, but the models’ combining techniques were shown to be superior. Combining techniques enhanced performance of single AI modeling up to 26% in the verification step. © IWA Publishing 2021 Journal of Hydroinformatics},

note = {9},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85095450980,

title = {Risk assessment for groundwater in the region of municipal landfill systems in Tychy-Urbanowice (Southern Poland)},

author = { W. Rykala and D. Dąbrowska},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095450980&doi=10.2478%2fenviron-2020-0002&partnerID=40&md5=7c38b86b4d58eb5520ea99705ae01fb3},

doi = {10.2478/environ-2020-0002},

issn = {23540079},

year  = {2020},

date = {2020-01-01},

journal = {Environmental and Socio-Economic Studies},

volume = {8},

number = {1},

pages = {9-17},

publisher = {De Gruyter Open Ltd},

abstract = {An Environmental Risk Assessment is an efficient technical and analytical method for analyzing environmental impacts and it supports the decision-making process connected with projects variants by using historical data collection, identification of regional risk sources, probability and impact estimation of signal risk type. In this article, an Environmental Risk Assessment was performed for groundwater quality in the region of municipal landfills in Tychy-Urbanowice (Southern Poland) to assess the impact of various factors on the quality of groundwater in the region. The assessment used qualitative and quantitative risk analysis methods, including cause and consequence analysis, completion of an effect/probability matrix and utilization of the SWOT analysis method. The results of the assessment indicate that use of the SWOT analysis was the best method for groundwater risk assessment in the examined area. The analysis included an assessment of the spatial and temporal variability of leachate and groundwater quality (using data from a groundwater monitoring system), simulation of the longevity of both the top and bottom security system, spatial planning and an assessment of the impact of other parameters on groundwater, terrain and climatic conditions. The overall result for this analysis for the likely potential groundwater hazard was a score of -4. For the purposes of further risk analyses, it is possible to consider additional factors that are likely to affect the water quality of the area under investigation or to use other methods that will be based on a time series analysis. © 2020 Copyright by University of Silesia in Katowice.},

note = {2},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85069683622,

title = {Application of hydrogeological and biological research for the lysimeter experiment performance under simulated municipal landfill condition},

author = { D. Dąbrowska and M. Sołtysiak and Pa. Biniecka and J. Michalska and D. Wasilkowski and A. Nowak and V. Nourani},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069683622&doi=10.1007%2fs10163-019-00900-x&partnerID=40&md5=4fda55bd7f247d1b3d90dd15e96628f9},

doi = {10.1007/s10163-019-00900-x},

issn = {14384957},

year  = {2019},

date = {2019-01-01},

journal = {Journal of Material Cycles and Waste Management},

volume = {21},

number = {6},

pages = {1477-1487},

publisher = {Springer Tokyo},

abstract = {The size and chemical composition of leachates migrating into the aquifer are dependent on the parameters of the waste and the storage conditions. Lysimeter studies allow us to determine the size and chemical composition of leachates as well as the leachate water balance. Lysimeter studies were conducted on a 230-L municipal waste sample for 6 months. During the tests, the specific electrolyte conductivity, pH, Eh, and temperature, as well as the chemical composition, microbiological analysis, and profiling of physiological population level using EcoPlate™ microarrays were measured in collected leachate samples. During the entire experiment, the amounts of inflow and outflow from lysimeters were measured. To assess the existence of significant differences in the chemical component concentrations in leachates, use of Principal Component Analysis was taken into account. The maximum EC value from leachate from the lysimeter was 33 mS/cm. High concentrations of ammonium ion (up to approx. 1400 mg dm−3), chlorides (up to approx. 6800 mg dm−3), and iron (up to approx. 31 mg dm−3) were observed in the effluents. The number of enterococci in May reached 53,000 cells/100 ml. By contrast, the number of these microorganisms was about 15,000 and 16,000 CFU/100 ml in January and April, respectively. Community-level physiological profiling indicates that the activity and functional diversity of microorganisms were higher in the leachate samples obtained in winter compared to effluents collected from lysimeters in spring. © 2019, The Author(s).},

note = {6},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85063683418,

title = {Predicting presence of amphibian species using features obtained from GIS and satellite images},

author = { M. Blachnik and M. Sołtysiak and D. Dąbrowska},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063683418&doi=10.3390%2fijgi8030123&partnerID=40&md5=31060f0ffa507b376e202af493b004a9},

doi = {10.3390/ijgi8030123},

issn = {22209964},

year  = {2019},

date = {2019-01-01},

journal = {ISPRS International Journal of Geo-Information},

volume = {8},

number = {3},

publisher = {MDPI AG},

abstract = {The construction of transport infrastructure is often preceded by an environmental impact assessment procedure, which should identify amphibian breeding sites and migration routes. However, the assessment is very difficult to conduct because of the large number of habitats spread out over a vast expanse, and the limited amount of time available for fieldwork. We propose utilizing local environmental variables that can be gathered remotely using only GIS systems and satellite images together with machine learning methods. In this article, we introduce six new and easily extractable types of environmental features. Most of the features we propose can be easily obtained from satellite imagery and spatial development plans. The proposed feature space was evaluated using four machine learning algorithms, namely: a C4.5 decision tree, AdaBoost, random forest and gradient-boosted trees. The obtained results indicated that the proposed feature space facilitated prediction and was comparable to other solutions. Moreover, three of the new proposed features are ranked most important; these are the three dominant properties of the surroundings of water reservoirs. One of the new features is the percentage access from the edges of the reservoir to open areas, but it affects only a few species. Furthermore, our research confirmed that the gradient-boosted trees were the best method for the analyzed dataset. © 2019 by the authors.},

note = {8},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85059091650,

title = {Application of pollution indices for the spatiotemporal assessment of negative impact of a municipal land fill on ground water (Tychy, Southern Poland)},

author = { D. Dąbrowska and A.J. Witkowski and M. Sołtysiak},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059091650&doi=10.7306%2fgq.1420&partnerID=40&md5=286185304d9bb2824d8ccfd5ec981208},

doi = {10.7306/gq.1420},

issn = {16417291},

year  = {2018},

date = {2018-01-01},

journal = {Geological Quarterly},

volume = {62},

number = {3},

pages = {496-508},

publisher = {Polish Geological Institute},

abstract = {Risk assessment plays an essential role in the protection of groundwater resources, especially in the regions of potential contamination sources. The present research was aimed at assessing the risk of groundwater contamination in the vicinity of the Tychy-Urbanowice municipal landfill systems (southern Poland), using the contamination index tool. Groundwater samples from the Quaternary Aquifer were collected from 22 piezometers located near the former landfill site (currently closed) and the new sealed landfill site during a monitoring period from 1995 to 2015. Extremely high values (1700) of the groundwater contamination index were observed in a piezometer that captures water beneath the abandoned landfill. Very high index values (154 or 216) were also noticed in piezometers located in the groundwater outflow from the landfill site. Results of interpolation for individual piezometers, which capture only the upper or lower part of an aquifer, are unrepresentative. The interpolation for the mean values of the contamination index increased the groundwater risk assessment. © 2018, Polish Geological Institute. All rights reserved.},

note = {14},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85049334457,

title = {A multi-method approach to groundwater risk assessment: A case study of a landfill in southern Poland},

author = { M. Sołtysiak and D. Dąbrowska and K. Jałowiecki and V. Nourani},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049334457&doi=10.7306%2fgq.1411&partnerID=40&md5=c6cfb52c2c041dc1cab495edd053f79a},

doi = {10.7306/gq.1411},

issn = {16417291},

year  = {2018},

date = {2018-01-01},

journal = {Geological Quarterly},

volume = {62},

number = {2},

pages = {361-374},

publisher = {Polish Geological Institute},

abstract = {Estimating groundwater vulnerability to pollution is based on the quantitative and qualitative assessment of the degree of exposure to the pollution. This article attempts to assess groundwater vulnerability to pollution in the area of a complex of landfill sites located in the supply area of one of the important groundwater reservoirs in southern Poland. Two dynamic leaching tests and two static tests were carried out on two different samples of slag from one of the metallurgical landfills during various periods of storage (15 year old waste and freshly deposited waste). Transport equations were based on the data from a column experiment. The advection-dispersion equation for column leaching was employed, which confirmed the simulation parameters through experimentation. The results of the leaching tests on chlorides showed that they are leached from the landfill over a period of ~60–90 years from the moment of depositing the waste. The seepage time for the Quaternary aquifer is 1–7 years and, for the Triassic aquifer, 5–40 years. The Backman’s contamination index (1998) values exceeded 25, while a high threat to groundwater is observed when the contamination index value equals 3. The use of all the aforementioned methods determined the most vulnerable area. © 2018, Polish Geological Institute. All Rights Reserved.},

note = {15},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85044823154,

title = {Representativeness of the groundwater monitoring results in the context of its methodology: case study of a municipal landfill complex in Poland},

author = { D. Dąbrowska and A.J. Witkowski and M. Sołtysiak},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044823154&doi=10.1007%2fs12665-018-7455-x&partnerID=40&md5=8c127d85e244c30e2a78b51ce14e540d},

doi = {10.1007/s12665-018-7455-x},

issn = {18666280},

year  = {2018},

date = {2018-01-01},

journal = {Environmental Earth Sciences},

volume = {77},

number = {7},

publisher = {Springer Verlag},

abstract = {A representative monitoring of groundwater quality is the basis for a reliable assessment of the impact of pollutant sources on groundwater. This is especially the case in the area around old closed landfills. A study of different methods of groundwater sampling was conducted at a municipal landfill site in Tychy-Urbanowice (southern Poland). The study compared the results of the electrolytic conductivity values obtained during vertical profiling both before and after purging with a passive bailer. The results obtained from the well volume approach after purging up to nine volumes of stagnant water in the piezometer were also taken into account, as were the results of the purging of water volume equal to the double volume of the filtered part of the piezometer. Particular attention was paid to the nested piezometers. The presented values confirm very large differences in the research results of both the sampling technology and the depth of sampling, the piezometer construction and its lithological profile and in the duration and intensity of the tests carried out. In order to determine the real-time variability of the contamination of the monitored water, the tests should be carried out in the same way and should use a fixed schedule. © 2018, The Author(s).},

note = {12},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85040600007,

title = {Diagnosis of the iegal and organizational status of groundwater monitoring in Poland [Diagnoza stanu prawnego i organizacyjnego monitoringu wód podziemnych w Polsce]},

author = { A.J. Witkowski and D. Dąbrowska},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040600007&partnerID=40&md5=cb1c31cdec99afdd3d363ff3b60a76d9},

issn = {00332151},

year  = {2017},

date = {2017-01-01},

journal = {Przeglad Geologiczny},

volume = {65},

number = {11},

pages = {1393-1397},

publisher = {Polish Geological Institute},

abstract = {The article presents the current groundwater monitoring system in Poland. It points out the ambiguity of the terminology and the correlation between the previous concept, based on the areal criterion for monitoring networks (national, regional and local) and the recently introduced three types of monitoring: diagnostic, operational and research monitoring. In this context, the problem of changing legal regulations that govern the groundwater monitoring has been given special attention. Constant changes in the legal acts result in the ambiguity about who is currently responsible for the groundwater monitoring system and its various types in Poland. The paper explicitly addresses the question of the functioning of the local monitoring in Poland and the presentation of the results. It has been found out that the approach to the local and research monitoring of groundwater in annual reports on the state of the environment in particular regions published by the Voivodeship Inspectorates of Environmental Protection (W10$) is inconsistent. These reports, being an essential element in disseminating information about the environment, should be complete, clear and consistent. Unfortunately, the quality of reports is highly variable in both technical terms and the merits. In many cases, they are incomplete due to the lack of information about the local monitoring as well as the fact that the issue of groundwater is frequently dealt with in a very superficial manner. The access to the data contained in these reports is sometimes difficult because of their different location on the websites of W 10$.},

note = {3},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85016159204,

title = {Conjunction of radial basis function interpolator and artificial intelligence models for time-space modeling of contaminant transport in porous media},

author = { V. Nourani and S. Mousavi and D. Dąbrowska and F. Sadikoglu},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016159204&doi=10.1016%2fj.jhydrol.2017.03.036&partnerID=40&md5=01e9040ffdcee685a35352e585eeb03e},

doi = {10.1016/j.jhydrol.2017.03.036},

issn = {00221694},

year  = {2017},

date = {2017-01-01},

journal = {Journal of Hydrology},

volume = {548},

pages = {569-587},

publisher = {Elsevier B.V.},

abstract = {As an innovation, both black box and physical-based models were incorporated into simulating groundwater flow and contaminant transport. Time series of groundwater level (GL) and chloride concentration (CC) observed at different piezometers of study plain were firstly de-noised by the wavelet-based de-noising approach. The effect of de-noised data on the performance of artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) was evaluated. Wavelet transform coherence was employed for spatial clustering of piezometers. Then for each cluster, ANN and ANFIS models were trained to predict GL and CC values. Finally, considering the predicted water heads of piezometers as interior conditions, the radial basis function as a meshless method which solves partial differential equations of GFCT, was used to estimate GL and CC values at any point within the plain where there is not any piezometer. Results indicated that efficiency of ANFIS based spatiotemporal model was more than ANN based model up to 13%. © 2017 Elsevier B.V.},

note = {21},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-85014902677,

title = {Conjunction of wavelet transform and SOM-mutual information data pre-processing approach for AI-based Multi-Station nitrate modeling of watersheds},

author = { V. Nourani and G. Andalib and D. Dąbrowska},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85014902677&doi=10.1016%2fj.jhydrol.2017.03.002&partnerID=40&md5=e5c952a9bd97ffe6f8931fdbdcb5d5f1},

doi = {10.1016/j.jhydrol.2017.03.002},

issn = {00221694},

year  = {2017},

date = {2017-01-01},

journal = {Journal of Hydrology},

volume = {548},

pages = {170-183},

publisher = {Elsevier B.V.},

abstract = {Accurate nitrate load predictions can elevate decision management of water quality of watersheds which affects to environment and drinking water. In this paper, two scenarios were considered for Multi-Station (MS) nitrate load modeling of the Little River watershed. In the first scenario, Markovian characteristics of streamflow-nitrate time series were proposed for the MS modeling. For this purpose, feature extraction criterion of Mutual Information (MI) was employed for input selection of artificial intelligence models (Feed Forward Neural Network; FFNN and least square support vector machine). In the second scenario for considering seasonality-based characteristics of the time series, wavelet transform was used to extract multi-scale features of streamflow-nitrate time series of the watershed's sub-basins to model MS nitrate loads. Self-Organizing Map (SOM) clustering technique which finds homogeneous sub-series clusters was also linked to MI for proper cluster agent choice to be imposed into the models for predicting the nitrate loads of the watershed's sub-basins. The proposed MS method not only considers the prediction of the outlet nitrate but also covers predictions of interior sub-basins nitrate load values. The results indicated that the proposed FFNN model coupled with the SOM-MI improved the performance of MS nitrate predictions compared to the Markovian-based models up to 39%. Overall, accurate selection of dominant inputs which consider seasonality-based characteristics of streamflow-nitrate process could enhance the efficiency of nitrate load predictions. © 2017 Elsevier B.V.},

note = {22},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-84964426068,

title = {The representativity index of a simple monitoring network with regular theoretical shapes and its practical application for the existing groundwater monitoring network of the Tychy-Urbanowice landfills, Poland},

author = { D. Dąbrowska and R. Kucharski and A.J. Witkowski},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964426068&doi=10.1007%2fs12665-016-5554-0&partnerID=40&md5=f56d6ed4af04bd8010592e108a9385eb},

doi = {10.1007/s12665-016-5554-0},

issn = {18666280},

year  = {2016},

date = {2016-01-01},

journal = {Environmental Earth Sciences},

volume = {75},

number = {9},

publisher = {Springer Verlag},

abstract = {The representativity index Ru is a measure used in assessing the chemical status of groundwater based on monitoring studies. This index is designed to describe the spatial homogeneity of the monitoring network. The general formula for calculating the index Ru includes the following parameters: average distance to the nearest monitoring point, number of monitoring points, and size of the test area. Calculations to determine the representativity index for four different shapes of the theoretical test study with the same area and the same number of monitoring points have been done. These calculations suggest that the index value depends on the shape and the position of these points, and it is less dependent on the size of the surface. An assessment of the representativeness of the monitoring network for the different numbers and configurations of the piezometers around the Tychy-Urbanowice landfills based on the mentioned index has been done as well. The best and the worst configurations of the monitoring network for these landfill sites in mathematical terms have been presented in this paper. The results are surprising: the highest index value is obtained with a single measurement point. The calculations were performed with the area of landfill and the area limited by the range of piezometers as the exclusive test area. To choose the optimal test area, representativity indicator was calculated also for the monitoring network around waste landfills, including the buffer network behind the piezometers. The difference in the values of the representativity indicator for subsequent variants is astounding. The representativity index for the same monitoring network is about 20 % higher if we consider the test area limited by external piezometers, and higher by another 20 %, taking into account the 95-m buffer zone behind piezometers. Due to increase of the representativity index value with a different width of buffer zone, the mathematical calculations of the monitoring network’s representativeness should be supported by an analysis of the geological structure and hydrogeological conditions occurring in the analyzed area. © 2016, The Author(s).},

note = {9},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-84957974295,

title = {Application of the prevention and remedying of environmental damage act in groundwater protection [Zastosowanie ustawy o zapobieganiu szkodom w s̈rodowisku i ich naprawie w ochronie wód podziemnych]},

author = { M. Sołtysiak and D. Dąbrowska and M. Kupiec},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957974295&partnerID=40&md5=86afbfad74f4b7dac42abebb4cdedbe0},

issn = {00332151},

year  = {2015},

date = {2015-01-01},

journal = {Przeglad Geologiczny},

volume = {63},

number = {10},

pages = {1068-1073},

publisher = {Polish Geological Institute},

abstract = {The Prevention and Remedying of Environmental Damage Act of 13 April 2007 is a relevant judicial tool, which can be used in the groundwater protection. Conflict between the obligation to protect the environment and the human economic activity forced the legislature's obligation to repair the damage. The enactment of the act was a result of The Environmental Liability Directive 2004/35/CE implementation in Poland. This article contains an analysis of the remediation of environmental act in terms of the soil and water environment protection. It reviews also proceedings relating to the soil and water environmental damages, which were conducted by Regional Directorates for Environmental Protection. In addition, the surface water and associated habitats on the grounds of the interconnectedness of the different components of the environment with groundwater, were included in the analysis.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2-s2.0-84957965308,

title = {Assessment of the chloride concentration changes in brines of Goczałkowice health resort using statistical methods [Ocena zmian stężenia chlorków w solankach Uzdrowiska Goczalkowice-Zdrój przy zastosowaniu metod statystycznych]},

author = { P. Suchy and D. Dąbrowska and R. Kucharski},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957965308&partnerID=40&md5=f687df97434228631c4c6c1dba3d15ed},

issn = {00332151},

year  = {2015},

date = {2015-01-01},

journal = {Przeglad Geologiczny},

volume = {63},

number = {10},

pages = {1080-1084},

publisher = {Polish Geological Institute},

abstract = {The article presents the assessment of the groundwater quality trend on the example of chlorides in the region of Goczałkowice Zdrój health resort. The data from the years 1977-2014 from two boreholes: GN-1, GN-2 were analysed. The trend assessment was made using the linear model, the fixed effect model and the robust statistic. The residts of these methods indicate a downward trend of chlorides concentration.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}