Entropy weight method coupled with an improved DRASTIC model to evaluate the special vulnerability of groundwater in Songnen Plain, Northeastern China

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...

Effects of Grazing and Mowing on Leymus Chinensis Grassland in the Songnen Plain of Northeastern China

Effects of mowing and grazing on a Leymus chinensis grassland in the Songnen plain of northeastern China were studied using eight replicates of four grazing and mowing treatments. Canopy cover and biomass of the dominant species (L. chinensis) were lower, and cover of the halophyte Suaeda corniculata higher, on grazed than ungrazed; ungrazed plots showed a response to mowing, but not grazing; s...

Qualitative Assessment of the Coastal Plain of Talesh using the Modified DRASTIC Vulnerability Method

Given the fact that the DRASTIC index is ineffective in addressing the saltwater uprising issue in coastal plains, in the present study, three factors including land use, distance to shoreline, and differences between groundwater and sea level were added to the DRASTIC index. The proposed modification to DRASTIC was validated using the measured electrical conductivity (EC) data gathered from gr...

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

GIS-based DRASTIC method for groundwater vulnerability assessment: a review