Published November 2019 | Version v1
Journal article

Groundwater vulnerability assessment with using GIS in Hamadan–Bahar plain, Iran

Creators

  • 1. Shahid Rajaee Teacher Training University, Department of Biology Science, Faculty of Material Engineering and New Technologies (Iran, Islamic Republic of)

Description

Vulnerability assessment to delineate areas that are more susceptible to contamination from anthropogenic sources has become an important element for sensible resource management and land use planning. It has been recognized for its ability to delineate areas that are more likely than others to become contaminated as a result of anthropogenic activities near the earth's surface. The main methods of mapping and assessing intrinsic vulnerability in porous media are the following: SI, GOD, SINTACS and DRASTIC. The basic purpose of these maps is to divide an area into more classes, each of which will represent a different dynamic for a specific purpose and use. These models have been used to map groundwater vulnerability to pollution in Hamadan–Bahar aquifer. The results showed in models of DRASTIC, SI, GOD and SINTACS, respectively, 7.1, 44.21, 29.56 and 20.16 percent of the areas are high potential vulnerabilities. According to the model DRASTIC at study area, 33.6% of has a low class of groundwater vulnerability to contamination, whereas a total of 29.4% of the study area has a moderate vulnerability. The final results indicate that the aquifer system in the interested area is relatively protected from contamination on the groundwater surface. The correlation between models shows that DRASTIC model has the highest CI, which is 141, and the GOD model has the highest CI, which is 139. Also, the highest CI for SINTACS and SI is 137 and 136, respectively. Therefore, DRASTIC model is the best model among these models for predicting groundwater vulnerability in Hamadan–Bahar plain aquifer.

Additional details

Identifiers

Publishing Information

Journal Title
Applied Water Science
Journal Volume
9
Journal Issue
8
Journal Page Range
p. 1-13
ISSN
2190-5495

INIS

Country of Publication
Germany
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
51096480
Subject category
S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
AQUIFERS; CONTAMINATION; GEOGRAPHIC INFORMATION SYSTEMS; GROUND WATER; IRAN; LAND USE; MAPPING; PLANNING; POLLUTION; POROUS MATERIALS; RESOURCE MANAGEMENT; SURFACES; VULNERABILITY
Descriptors DEC
ASIA; DEVELOPING COUNTRIES; HYDROGEN COMPOUNDS; INFORMATION SYSTEMS; MANAGEMENT; MATERIALS; MIDDLE EAST; OXYGEN COMPOUNDS; WATER

Optional Information

Copyright
Copyright (c) 2019 The Author(s)