从开采、管理和控制不同地区的污染的角度,评估地下水脆弱性以确定这些资源的优先次序是重要的.研究的目的是基于DRASTIC-LU参数以及空间和非空间数据驱动的方法来估算Birjand平原含水层的地下水(硝酸盐质量浓度)脆弱性.研究提出新的组合方法来确定...
It was also found that the DRASTIC-LU parameters have a significant effect on the rate of groundwater vulnerability and estimation of the nitrate concentration in the study area.Seyed Ahmad EslaminezhadMobin EftekhariMohammad AkbariJournal of Beijing University of Technology...
The present study used this modified model termed as DRASTIC-LU considering land use as a significant parameter in addition to other conventional DRASTIC parameters. Geographic information system (GIS) employed to prepare and integrate different parameter maps led to demarcate the risk zones in a ...
The vulnerability of groundwater to contamination was assessed using the modified DRASTIC-LU model. The parameters like depth to water, net recharge, aquifer media, soil media, topography, impact of vadose zone, hydraulic conductivity of the aquifer, and land use pattern were considered for the ...
According to the validation results, the DRASTIC-LU FAHP model was selected as the most suitable model in this region.doi:10.1007/s40808-022-01408-4Goodarzi, Mohammad RezaNiknam, Amir Reza R.Jamali, VahidPourghasemi, Hamid RezaSpringer International PublishingModeling Earth Systems and Environment...
A New Model (DRASTIC-LU) for Evaluating Groundwater Vulnerability in Alluvial Aquifer of Upper Cheliff (Algeria)doi:10.1007/978-3-319-70548-4_185Djelloul ZafaneBenyoucef GharbiAbdelkader DouaouiSpringer, ChamEuro-Mediterranean Conference
Groundwater quality- Vulnerability-DRASTIC-LU model- Khemis Miliana PlainIn recent years, groundwater vulnerabilityassessment has become a very useful tool for planning anddecision-making on groundwater protection. The mainvalue of vulnerability maps is that they can be used as apreliminary and ...
The ERT model combined with DRASTIC-LU/LC achieved the highest accuracy (AUC=0.929), followed by BA (AUC=0.925), MLP (AUC=0.852), and KNN (AUC=0.787). In comparison, the original DRASTIC-LU/LC model had an AUC of 0.530. The results highlight significant vulnerability variation across ...
Groundwater Vulnerability Zoning to Nitrate Based on DRASTIC-LU Parameters and Data-driven Modelsdoi:10.11936/bjutxb2021010022Seyed Ahmad EslaminezhadMobin EftekhariMohammad Akbari
Groundwater vulnerability and contamination risk assessment using GIS-based modified DRASTIC-LU model in hard rock aquifer system in Indiadoi:info:doi/10.1080/10106049.2018.1557259Kumar, AkshayPramod Krishna, AkhouriGeocarto International