Assessing groundwater vulnerability to nitrate pollution using statistical approaches: a case study of Sidi Bouzid shallow aquifer, Central Tunisia

2017 ◽  
Vol 10 (16) ◽  
Author(s):  
Ikram Jmal ◽  
Bachaer Ayed ◽  
Emna Boughariou ◽  
Nabila Allouche ◽  
Salwa Saidi ◽  
...  
Keyword(s):  
Groundwater Vulnerability ◽  
Nitrate Pollution ◽  
Shallow Aquifer ◽  
Sidi Bouzid ◽  
Central Tunisia ◽  
Statistical Approaches

scholarly journals Optimizing the DRASTIC Method for Nitrate Pollution in Groundwater Vulnerability Assessments: a Case Study in China

2018 ◽  
Vol 27 (1) ◽  
pp. 95-107 ◽  
Author(s):  
Haiyang He ◽  
Xuguang Li ◽  
Xiao Li ◽  
Jian Cui ◽  
Wenjing Zhang ◽  
...  
Keyword(s):  
Groundwater Vulnerability ◽  
Nitrate Pollution ◽  
Vulnerability Assessments ◽  
Drastic Method

Assessment of urban groundwater vulnerability in arid areas: Case of Sidi Bouzid aquifer (central Tunisia)

2020 ◽  
Vol 168 ◽  
pp. 103849
Author(s):  
Gammoudi Safa ◽  
Chkir Najiba ◽  
Boughattas Nour El Houda ◽  
Hamdi Monji ◽  
Arraouadi Soumaya ◽  
...  
Keyword(s):  
Urban Groundwater ◽  
Groundwater Vulnerability ◽  
Arid Areas ◽  
Sidi Bouzid ◽  
Central Tunisia

A GIS-based statistical model for assessing groundwater susceptibility index in shallow aquifer in Central Tunisia (Sidi Bouzid basin)

2020 ◽  
Vol 13 (2) ◽  
Author(s):  
Kaouther Ncibi ◽  
Hatem Chaar ◽  
Riheb Hadji ◽  
Noaman Baccari ◽  
Abdelaziz Sebei ◽  
...  
Keyword(s):  
Statistical Model ◽  
Shallow Aquifer ◽  
Sidi Bouzid ◽  
Central Tunisia ◽  
Susceptibility Index

Assessment of Groundwater Vulnerability – A Case Study

2016 ◽  
Vol 5 (1) ◽  
pp. 1561-1579 ◽  
Author(s):  
Mohamed R. El Tahlawi ◽  
◽  
Mohamed Abo-El Kassem ◽  
Gamal Y. Baghdadi ◽  
Hussein A. Saleem ◽  
...  
Keyword(s):  
Groundwater Vulnerability

scholarly journals Fuzzy or Non-Fuzzy? A Comparison between Fuzzy Logic-Based Vulnerability Mapping and DRASTIC Approach Using a Numerical Model. A Case Study from Qatar

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1288
Author(s):  
Husam Musa Baalousha ◽  
Bassam Tawabini ◽  
Thomas D. Seers
Keyword(s):  
Fuzzy Logic ◽  
Numerical Model ◽  
Vulnerability Assessment ◽  
Anthropogenic Impacts ◽  
Groundwater Vulnerability ◽  
Vulnerability Mapping ◽  
Anthropogenic Contamination ◽  
Weighted Overlay ◽  
Vulnerability Maps

Vulnerability maps are useful for groundwater protection, water resources development, and land use management. The literature contains various approaches for intrinsic vulnerability assessment, and they mainly depend on hydrogeological settings and anthropogenic impacts. Most methods assign certain ratings and weights to each contributing factor to groundwater vulnerability. Fuzzy logic (FL) is an alternative artificial intelligence tool for overlay analysis, where spatial properties are fuzzified. Unlike the specific rating used in the weighted overlay-based vulnerability mapping methods, FL allows more flexibility through assigning a degree of contribution without specific boundaries for various classes. This study compares the results of DRASTIC vulnerability approach with the FL approach, applying both on Qatar aquifers. The comparison was checked and validated against a numerical model developed for the same study area, and the actual anthropogenic contamination load. Results show some similarities and differences between both approaches. While the coastal areas fall in the same category of high vulnerability in both cases, the FL approach shows greater variability than the DRASTIC approach and better matches with model results and contamination load. FL is probably better suited for vulnerability assessment than the weighted overlay methods.

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