There are several principal driving forces behind the damaging coastal water resources depletion in many countries, including: high population growth, degrading water resources due to overexploitation and contamination, lack of awareness among local beneficiaries regarding sustainable management, and deficient government support and enforcement of conservation programs. To ensure a water resource system is productive in coastal areas, holistic and comprehensive management approaches are required. To address the aforementioned issues, a combined methodology which considers anthropogenic activities, together with environmental problems defined as the Overall Susceptibility Socio-Ecological System Environmental Management (OSSEM) has been investigated. The OSSEM model has been applied successfully in Spain based upon daily time series data. This research is ground breaking in that it integrates the OSSEM model in a geographic information system (GIS) environment to assess the groundwater contamination based on annual time series data and the assessment of system management by means of an overall susceptibility index (OSI). Centered on OSI indicators, the renewal, salinization and water deficit potentials in the Talar aquifer were estimated to be 4.89%, 4.61%, and 3.99%, respectively. This data demonstrates a high susceptibility in terms of environmental pollution, salinization, and water deficit.
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Research Article|
February 09 2015
Customization of the OSSEM model for application to annual data from the Talar aquifer, Northern Iran
Nazila Sedaei;
Nazila Sedaei
1Faculty of Agricultural Engineering, Sari Agricultural Sciences and Natural Resources University, PO. Box 737, Sari, Iran
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Abolghasem Akbari;
2Faculty of Civil Engineering and Earth Resources, University Malaysia Pahang, Lebuhraya Tun Razak, 26300 Gambang, Kuantan, Malaysia
E-mail: [email protected]
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Leila Sedaei;
Leila Sedaei
3Faculty of Natural Resources, Shahrekord University, Shahrekord, Box 890, Shahrekord, Iran
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Jonathan Peter Cox
Jonathan Peter Cox
4Caribbean Institute for Meteorology and Hydrology, Barbados
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Water Supply (2015) 15 (3): 656–666.
Article history
Received:
September 01 2014
Accepted:
January 23 2015
Citation
Nazila Sedaei, Abolghasem Akbari, Leila Sedaei, Jonathan Peter Cox; Customization of the OSSEM model for application to annual data from the Talar aquifer, Northern Iran. Water Supply 1 June 2015; 15 (3): 656–666. doi: https://doi.org/10.2166/ws.2015.021
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