Assessment of Groundwater-Level Susceptibility to Degradation Based on Analytical Network Process (ANP)
Journal Title: International Journal of Environment and Geoinformatics - Year 2018, Vol 5, Issue 3
Abstract
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.
Authors and Affiliations
Behnam Khorrami, Shahram Roostaei, Khalil Valizadeh Kamran
Keywords
Related Articles
- EP ID EP421470
- DOI 10.30897/ijegeo.451067
- Views 41
- Downloads 0
Desert Dust Cloud Interactions and Natural Iron Enrichment Mechanism
Iron enrichment hypothesis have been tested on many occasions by adding dissolved iron into the seawater. Though Mediterranean Sea never depleted with iron it is one of the most oligotrophic water that exists on earth. I...
An Algorithm Approach for the Analysis of Urban Land-Use/Cover: Logic Filters
Accurate classification of land-use/cover based on remotely sensed data is important for interpreters who analyze time or event-based change on certain areas. Any method that has user flexibility on area selection provid...
New observations of alien foraminifera on the Turkish coasts of the Aegean Sea (2012-2015)
During the benthic foraminiferal surveys conducted on the Aegean coasts of Turkey between 2012-2015, new alien species have been observed. These were either recent introductions, such as Cornuspiroides striolatus (Brady)...
Comparison of Object and Pixel-Based Classifications For Mapping Crops Using Rapideye Imagery: A Case Study Of Menemen Plain, Turkey
With the latest development and increasing availability of high spatial resolution sensors, earth observation technology offers a viable solution for crop identification and management. There is a strong need to produce...
State of the art of greenway concept application in Tunisian green policy. A case study of an urban landscape in Sousse city
This paper is about the concept of the greenways in Tunisia, defined as a structure allowing to connect the green spaces between them. Two steps have been applied to assess the use of greenway concept in Tunisia and espe...