ORIGINAL RESEARCH
Groundwater Pollution Risk Assessment Based on Vulnerability to Pollution and Potential Impact of Land Use Forms
,
 
,
 
 
 
More details
Hide details
1
AGH University of Science and Technology, Faculty of Geology, Geophysics and Environmental Protection, Krakow, Poland
 
 
Submission date: 2018-09-29
 
 
Final revision date: 2019-02-04
 
 
Acceptance date: 2019-02-12
 
 
Online publication date: 2019-08-09
 
 
Publication date: 2019-10-23
 
 
Corresponding author
Robert Duda   

Faculty of Geology, Geophysics and Environmental Protection, AGH University of Science and Technology, al. A. Mickiewicza 30, 30-059, Krakow, Poland
 
 
Pol. J. Environ. Stud. 2020;29(1):87-99
 
KEYWORDS
TOPICS
ABSTRACT
Our research aimed to evaluate groundwater pollution risk in the study area in southeastern Poland, that is, in an area where the hydrogeological conditions and land use forms are similar to those of European plains. The authors’ own qualitative classifications of the potential impact of major forms of land use on groundwater quality and groundwater pollution risk are proposed. The degree of this risk was assessed as the sum of ratings of intrinsic vulnerability of groundwater to pollution assessed with the original DRASTIC method and ratings of the potential impact of land use. The obtained map of groundwater pollution risk showed that 0.3% of the study area was characterized as being at very high risk, 50% as high, 45% as moderate, and 4.7% as low. In a graphical manner, spatial relationships between selected factors affecting the groundwater pollution risk and the assessed degree of risk are presented. The assessment of groundwater pollution risk employing intrinsic vulnerability of groundwater to pollution and potential impact of land use forms, together with the proposed classification of groundwater pollution risk, made it possible to determine areas of high risk of groundwater pollution in the study area in an effective manner.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
 
CITATIONS (18):
1.
Using Canadian Water Quality Index method to evaluate the spatio-variation of water quality and the impacts of quality parameters: a case study of Amasya’s surface water (Northern Turkey)
Mahamadou Konare, Fatma Gültekin, Esra Hatipoğlu Temizel
Environmental Monitoring and Assessment
 
2.
Denoising Autoencoder - Extreme Learning Machine for Improving the Classification Performance Integrated with IoT Water Quality Systems
Muhammad Thoriq Arkaan Susila, Ilham Nadiyansyah Firdaus, Muhammad Farid Chuzairi, Ig. Prasetya Dwi Wibawa, Meta Kallista
2023 10th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)
 
3.
Appraisal of Surface Water Quality of Nile River Using Water Quality Indices, Spectral Signature and Multivariate Modeling
Mohamed Gad, Ali H. Saleh, Hend Hussein, Mohamed Farouk, Salah Elsayed
Water
 
4.
Groundwater nitrate pollution risk assessment based on the potential impact of land use, nitrogen balance, and vulnerability
Robert Duda, Robert Zdechlik, Jarosław Kania
Environmental Science and Pollution Research
 
5.
Groundwater pollution risks assessment in Ukraine-Poland transboundary aquifers
Halyna Medvid, Luibov Yanush, Tatiana Solovey, Vasyl Harasymchuk
Visnyk of V.N. Karazin Kharkiv National University, series Geology. Geography. Ecology
 
6.
Evaluation of Machine Learning Algorithm on Drinking Water Quality for Better Sustainability
Sanaa Kaddoura
Sustainability
 
7.
Assessment of groundwater vulnerability and pollution risk using AVI, SPI, and RGPI indexes: applied to southern Gabes aquifer system, Tunisia
Mounir Atoui, Belgacem Agoubi
Environmental Science and Pollution Research
 
8.
Semiquantitative Risk Assessment Method for Groundwater Source Protection Using a Process-based Interdisciplinary Approach
Robert Duda, Robert Zdechlik, Jarosław Kania
Water Resources Management
 
9.
Prioritization of areas for groundwater monitoring using analytic hierarchy process method in Geographic Information Systems: a case of Mexico
J. M. Esquivel-Martínez, J. L. Expósito-Castillo, M. V. Esteller-Alberich, M. A. Gómez-Albores, C. M. Medina-Rivas, C. R. Fonseca-Ortiz
International Journal of Environmental Science and Technology
 
10.
Assessing nitrate contamination risks in groundwater in arid regions: case of the Southern Gabes (Southeastern Tunisia)
Khyria Wederni, Mounir Atoui, Boulbaba Haddaji, Younes Hamed, Salem Bouri
Environmental Earth Sciences
 
11.
Application of water quality indices to the assessment of the effect of geothermal water discharge on river water quality – case study from the Podhale region (Southern Poland)
Katarzyna Wątor, Robert Zdechlik
Ecological Indicators
 
12.
Evaluation of the surface water quality using global water quality index (WQI) models: perspective of river water pollution
Md. Habibur Rahman Bejoy Khan, Amimul Ahsan, M. Imteaz, Md. Shafiquzzaman, Nadhir Al-Ansari
Scientific Reports
 
13.
Hydrogeochemical investigation and isotopic composition as tracers of ground water recharge in Chitipa district, Malawi
Watson Kabaghe, Elijah M. M. Wanda, Russel C. G. Chidya, Chitsanzo Damazio, Susan Ngwira
Discover Water
 
14.
A review of advanced machine learning and deep learning technologies for water quality management
Joseph Malisaba, Eisa Babiker Omer, Erheyovwe Bubu, Perez Mukasa
Discover Applied Sciences
 
15.
A comprehensive evaluation of surface water quality and potential health risk assessments of Sisa river, Kumasi
Osei Akoto, Albert Adopler, Hanson Edward Tepkor, Francis Opoku
Groundwater for Sustainable Development
 
16.
Assessment of Groundwater Contamination Risk in Oilfield Drilling Sites Based on Groundwater Vulnerability, Pollution Source Hazard, and Groundwater Value Function in Yitong County
Zhang Fang, Zhiguo Liu, Siyuan Zhao, Yanlin Ma, Xia Li, Han Gao
Water
 
17.
Parametric assessment of groundwater vulnerability to pollution within an open pit reclaimed by gangue
Katarzyna Niedbalska
Applied Water Science
 
18.
Groundwater pollution risk in a large agricultural irrigation plain assessed using modified DRASTIC-LU model, pollution loading and hazard analysis
Jiaqi Li, Chunli Su, Weili Ge, Zhiyuan Gan, Md Enamul Huq, Junting Liu, Yinchun Su, Hongjie Pan
Environmental Geochemistry and Health
 
eISSN:2083-5906
ISSN:1230-1485
Journals System - logo
Scroll to top