Optimization of DRASTIC method by artificial neural network, nitrate vulnerability index, and composite DRASTIC models to assess groundwater vulnerability for unconfined aquifer of Shiraz Plain, Iran

Optimization of DRASTIC method by artificial neural network, nitrate vulnerability index, and composite DRASTIC models to assess groundwater vulnerability for unconfined aquifer of Shiraz Plain, Iran

BACKGROUND Extensive human activities and unplanned land uses have put groundwater resources of Shiraz plain at a high risk of nitrate pollution, causing several environmental and human health issues. To address these issues, water resources managers utilize groundwater vulnerability assessment and determination of protection. This study aimed to prepare the vulnerability maps of Shiraz aquifer...

Aquifer Vulnerability Assessment for Sustainable Groundwater Management Using DRASTIC

Groundwater management and protection has been facilitated by computational modeling of aquifer vulnerability and monitoring aquifers using groundwater sampling. The DRASTIC (Depth to water, Recharge, Aquifer media, Soil media, Topography, Impact of vadose zone media, and hydraulic Conductivity) model, an overlay and index GIS model, has been used for groundwater quality assessment because it r...

Assessing the groundwater vulnerability to pollution using DRASTIC and SINTACS models, case study: Evan Plain, south west of Iran

assessment of groundwater nitrate pollution and determination of groundwater protection zones using drastic and composite drastic (cd) models: the case of shiraz unconfined aquifer

background: groundwater nitrate pollution is an important environmental problem in water resources management. in this regard, specific measures aiming at prevention of water pollution will be helpful to managers and decision-makers. identification of aquifers’ vulnerable areas and determination of groundwater protection zones using most widely used models, such as drastic and cd, are one of th...

optimization of drastic model by support vector machine and artificial neural network for evaluating of intrinsic vulnerability of ardabil plain aquifer

with respect to population growth and agricultural development in ardabil plain, vulnerability assessment of the plain aquifer is necessary for management of groundwater resources and the prevention of groundwater contamination. in this study, vulnerability of ardabil plain aquifer to pollution was evaluated by drastic method. drastic model was prepared by seven effective parameters on vulnerab...