Groundwater is considered as an important source of water supply in our world. Its contamination is of
particular concern as it is a vital source of water for irrigation, drinking and industrial activities. To control and
manage groundwater contamination DRASTIC model is a popular approach. This study applied an integrated
DRASTIC model using Geographic Information Science (GIS) tool to evaluate groundwater vulnerability of
Kermanshah plain, Iran considering water table fluctuation. High fluctuation of water table depth due to wet
and dry season in arid and semi-arid areas is notable. The study area is affected by this problem, thus this
research investigated the effect of minimum depth water during one year respect to average water depth which
is common for this model. Results represent considerable differences for two types of produced maps; map
using mean of water table for 5 year and map of minimum water table of one year. Vulnerability maps of mean
data classified 40% of the study area as no risk of pollution while this is around 25% for vulnerability maps of
minimum depth. In spite, minimum depth vulnerability maps classified around 12% of the study area as
moderate risk which is 6% greater than mean depth vulnerability maps. In case of accuracy, results show more
correlation between Nitrate data (NO3
−) and vulnerability maps of minimum water table.
Primary Language | English |
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Subjects | Engineering |
Journal Section | Research Articles |
Authors | |
Publication Date | August 2, 2016 |
Published in Issue | Year 2016 Volume: 3 Issue: 2 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.