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MCDA techniques used in optimization of weights and ratings of drastic model for groundwater vulnerability assessment

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Data Science and Management 2022年第1期5卷 28-41页

作者： Prashant Kumar Reema Sharma Subhasis Bhaumik CSIR-Central Scientific Instruments Organisation Chandigarh160030India Indian Institute of Engineering Science and Technology ShibpurHowrah711103India

drastic is a very simple and common model used for the assessment of groundwater to *** model is widely used across the world in various hydrogeological environments for groundwater vulnerability *** Ohio Water Well Association(OWWA)developed drastic model in *** the years,several modifications have been made in this model as per the need of the regional assessment of groundwater to *** model has fixed weights for its parameters and fixed ratings for the sub-parameters under the main *** weights and ratings of drastic parameters were fixed on the basis of Delphi network technique,which is the best technique for the consensus-building of experts,but it lacks scientific *** the years,several optimization techniques have been used to optimize these weights and *** work intends to present a critical analysis of decision optimization techniques used to get the optimum values of weights and *** inherent pros and cons and the optimization challenges associated with these techniques have also been *** finding of this study is that the application of MCDA optimization techniques used to optimize the weights and ratings of drastic model to assess the vulnerability of groundwater depend on the availability of hydrogeological data,the pilot study area and the level of required accuracy for earmarking the vulnerable *** is recommended that one must choose the appropriate MCDA technique for the particular region because unnecessary complex structure for optimization process takes more time,efforts,resources,and implementation costs.

关键词： drastic model Vulnerability index Analytic Hierarchy Process MCDA techniques Neural networks Fuzzy logic

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Application of GIS and drastic modeling for Evaluation of Groundwater Vulnerability near a Solid Waste Disposal Site

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International Journal of Geosciences 2016年第4期7卷 558-571页

作者： Chonattu Jaseela Kavya Prabhakar Puthenveedu Sadasivan Pillai Harikumar Water Quality Division Centre for Water Resources Development and Management Kozhikode India

The study aims at evaluating the groundwater vulnerability to contamination in the vicinity of a solid waste disposal site, Njelianparamba, a municipal dumping site in Kozhikode, Kerala, India, using drastic model using Geographic Information System environment. Vulnerability maps are intended to show areas of most potential to groundwater contamination on the basis of hydrogeological conditions and human impacts. The drastic model consists of seven hydrogeological parameters that affect groundwater quality. The ESRI GIS software, Arc Map 10.1 was used to create the groundwater vulnerability map by overlaying the seven layers. The resulting vulnerability map was then validated using chemical and bacteriological analysis of samples collected from nearby wells of the dumping site to assess the area which is of more potential risk to pollution. According to the vulnerability map, the study area was divided into three vulnerability classes ranging between a minimum value of 120 and a maximum value of 243. The vulnerability classes are moderate vulnerable, high vulnerable and very high vulnerable. The vulnerability map revealed that the eastern and south eastern portion of Njelianparamba dump site was very highly vulnerable to groundwater contamination. This is probably due to the lower sloped terrains towards the eastern portion which allows percolation of contaminants into the groundwater.

关键词： Groundwater Vulnerability drastic model Geographic Information System Hydrogeological Parameters

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Assessment of shallow groundwater vulnerability in Dahei River Plain based on AHP and drastic

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Journal of Groundwater Science and Engineering 2017年第3期5卷 266-277页

作者： ZHU Yu-chen ZHANG Yi-long HAO Qi-chen Institute of Hydrogeology and Environmental Geology Chinese Academy of Geosciences Shijiazhuang 050061 China

Based on the special hydrogeological conditions of the Dahei River Plain in the Inner Mongolia area, assessment of shallow groundwater vulnerability is conducted based on drastic model. Each evaluation indicator weight is determined by using analytic hierarchy process(AHP). The most important indicators are lithology in soil media and vadose zone. Assessment model of shallow groundwater vulnerability of the Dahei River plain is constructed. Distribution map of vulnerability index in this area is made with the spatial analysis function of ARCGIS. The results show that the particularly sensitive area is the piedmont of the Daqing Mountain, where the upstream place of the groundwater and the south-central place of the plain has the lowest vulnerability. The assessment results are more in accordance with the actual vulnerability conditions of this area by using analytic hierarchy process, and is helpful for groundwater protection.

关键词： Groundwater vulnerability drastic model AHP Dahei River Plain ARCGIS

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Assessment of Groundwater Pollution Potential through GIS Technique： A Case Study for Pelly-Mianrudan Plain, Lali Urban District, Iran

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Journal of Environmental Science and Engineering 2011年第10期5卷 1350-1362页

作者： M. Chitsazan Z. Rahimi Y. Mirzaee Department of Geology Faculty of Earth Science ShahidChamran University Ahvaz *** Iran

Considering the low average rainfall in the country and the importance of groundwater as a water supply source for drinking and agricultural water sections, water quality condition of groundwater must be controlled and prevented from any contamination. Identifying the vulnerable areas to pollution is one way of prevention. Many models have been offered for this purpose. In this study, a numerical rating scheme, called drastic has been used for evaluating potential for groundwater pollution in pelly-mianrudan plain that is located in northern Lalli city in Khuzestan province. Resulted map obtained in GIS environment shows that the study area has drastic index of 71-150 that is divided to five vulnerable zones namely no significance, very low, low, low to moderate, moderate to high. Maximum groundwater vulnerability correspondent low to medium zone that approximately covers 45 percentage of the study area and other parts on the northwest and center of the study area has high vulnerability. The sensitivity analysis showed that correlation drastic index with net Recharge （0.68） and Impact of vadose zone media （0.63） parameters is more than other parameters in the study pelly-mianrudan area. The statistical analysis confirms that parameter soil media and topography are the most sensitive to contamination, followed in importance by parameters aquifer medium, vadose zone, recharge, hydraulic conductivity and depth to water.

关键词： Aquifer vulnerability drastic model geographical information system pelly-mianrudan plain sensitivity analysis.

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Assessment of Groundwater Vulnerability in Northern Babylon Governorate, Iraq

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Engineering（科研） 2016年第12期8卷 883-902页

作者： Qais Al-Madhlom Nadhir Al-Ansari Hussain M. Hussain Civil Environmental and Natural Resources Engineering Lulea University of Technology Lulea Sweden Department of Geology College of Science Kufa University Najaf Iraq

Groundwater is one of the main resources from the earth, especially for arid or semiarid countries. For this reason, it is very important to keep it unpolluted. drastic model is one of the widely used models to detect groundwater vulnerability to the contaminants that are found on ground surface. In this model, it is assumed that the vulnerability of the groundwater is affected by seven hydrological parameters. They are: depth from the surface ground to groundwater, net recharge into the aquifer from the surface, aquifer media, soil media, area topography, impact of vadose zone and aquifer hydraulic conductivity. In this study, the drastic model was applied on the northern part of Babylon governorate in Iraq, to predict the vulnerability of Groundwater in that area. The results indicate that the vulnerability is very low to low grade.

关键词： Groundwater Vulnerability Groundwater Sensitivity drastic model GIS Babylon Iraq

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