Literature DB >> 29035418

Multi-criteria evaluation of hydro-geological and anthropogenic parameters for the groundwater vulnerability assessment.

Prashant Kumar1,2,3, Praveen K Thakur4, Baban Ks Bansod5,6,7, Sanjit K Debnath5,6.   

Abstract

Groundwater contamination assessment is a challenging task due to inherent complex dynamisms associated with the groundwater. DRASTIC is a very widely used rapid regional tool for the assessment of vulnerability of groundwater to contamination. DRASTIC has many lacunas in the form of subjectivities associated with weights and ratings of its hydro-geological parameters, and, therefore, the accuracy of the DRASTIC-based vulnerability map is questioned. The present study demonstrates the optimisation of the DRASTIC parameters along with a scientific consideration to the anthropogenic factors causing groundwater contamination. The resulting scientific consistent weights and ratings to DRASTIC parameters assist in the development of a very precise groundwater vulnerability map highlighting different zones of different gravity of contamination. One of the most important aspects of this study is that we have considered the impact of vadose zone in a very comprehensive manner by considering every sub-surface layer from the earth surface to the occurrence of groundwater. The study area for our experiment is Fatehgarh Sahib district of Punjab which is facing several groundwater issues.

Keywords:  Analytic hierarchy process; DRASTIC; Groundwater contamination; Land use and land cover; Water quality

Mesh:

Year:  2017        PMID: 29035418     DOI: 10.1007/s10661-017-6267-x

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  14 in total

1.  Assessment of groundwater contamination risk using hazard quantification, a modified DRASTIC model and groundwater value, Beijing Plain, China.

Authors:  Junjie Wang; Jiangtao He; Honghan Chen
Journal:  Sci Total Environ       Date:  2012-06-28       Impact factor: 7.963

2.  Mapping the groundwater vulnerability for pollution at the pan African scale.

Authors:  Issoufou Ouedraogo; Pierre Defourny; Marnik Vanclooster
Journal:  Sci Total Environ       Date:  2015-12-18       Impact factor: 7.963

3.  Natural and anthropogenic factors affecting the groundwater quality in the Nandong karst underground river system in Yunan, China.

Authors:  Yongjun Jiang; Yuexia Wu; Chris Groves; Daoxian Yuan; Pat Kambesis
Journal:  J Contam Hydrol       Date:  2009-08-11       Impact factor: 3.188

Review 4.  Multi-criteria decision analysis in environmental sciences: ten years of applications and trends.

Authors:  Ivy B Huang; Jeffrey Keisler; Igor Linkov
Journal:  Sci Total Environ       Date:  2011-07-18       Impact factor: 7.963

5.  Groundwater vulnerability assessment using fuzzy logic: a case study in the Zayandehrood aquifers, Iran.

Authors:  Farshad Rezaei; Hamid R Safavi; Azadeh Ahmadi
Journal:  Environ Manage       Date:  2012-11-02       Impact factor: 3.266

6.  Assessment of groundwater vulnerability and risk to pollution in Kathmandu Valley, Nepal.

Authors:  Sangam Shrestha; Dickson John Semkuyu; Vishnu P Pandey
Journal:  Sci Total Environ       Date:  2016-03-10       Impact factor: 7.963

7.  Groundwater vulnerability assessment in agricultural areas using a modified DRASTIC model.

Authors:  Mahmood Sadat-Noori; Kumars Ebrahimi
Journal:  Environ Monit Assess       Date:  2015-12-09       Impact factor: 2.513

8.  Predicting groundwater nitrate concentrations in a region of mixed agricultural land use: a comparison of three approaches.

Authors:  C D McLay; R Dragten; G Sparling; N Selvarajah
Journal:  Environ Pollut       Date:  2001       Impact factor: 8.071

9.  Environmental monitoring of Micro Prespa Lake basin (Western Macedonia, Greece): hydrogeochemical characteristics of water resources and quality trends.

Authors:  Evangelos P Tziritis
Journal:  Environ Monit Assess       Date:  2014-03-26       Impact factor: 2.513

10.  Groundwater vulnerability to pollution mapping of Ranchi district using GIS.

Authors:  R Krishna; J Iqbal; A K Gorai; G Pathak; F Tuluri; P B Tchounwou
Journal:  Appl Water Sci       Date:  2014-05-17
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  1 in total

1.  A Comprehensive Quality Evaluation Method Based on C30-HPLC and an Analytic Hierarchy Process for the Chinese Herbal Formula, Erzhiwan.

Authors:  Ying Nie; Weifeng Yao
Journal:  Molecules       Date:  2018-08-15       Impact factor: 4.411

  1 in total

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