Groundwater resources are among the world’s most
important and vital supplies which are highly required for continuation of
human life as well as wildlife. The growth of world’s population and the
occurrence of climatic drought in recent decades have put a severe strain on
these blessings all over the world so that most of the aquifers have dried up
and the depth to groundwater in wells has deepened severely. In the present
study the Analytic Network Process was used to extract degradation risk zones
of groundwater in Marand Plain. To do this, all the effective factors including
precipitation, air temperature, land use, soil permeability, flow direction,
proximity to rivers and groundwater exploitation via wells and qanats were
used. After construction of the database in GIS environment, the structure of
the network was designed in Super Decision software. Clustering and pair-wise
comparisons of the elements were executed based on the results of the Expert
Knowledge questionnaire and the priority weights for each cluster and parameter
was extracted consequently. Finally, the priority weights of the criteria were
applied on the map layers and the final degradation risk map created overlaying
all the maps. According the final output of the study, the Eastern and Western
parts of Marand Plain have the highest and lowest susceptibilities
respectively. It’s also found that the groundwater decline trend mimics the
surface topography and flow direction in which has an East-West pattern.
Primary Language | English |
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Subjects | Engineering |
Journal Section | Research Articles |
Authors | |
Publication Date | December 2, 2018 |
Published in Issue | Year 2018 Volume: 5 Issue: 3 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.