Customization of the OSSEM Model for Application to Annual Data from the Talar Aquifer, Northern Iran

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 awareness among local beneficiaries regarding sustainable management, and d...

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Main Authors:	Akbari, Abolghasem, Sedaei, Nazila, Sedaei, Leila, Cox, Jonathan Peter
Format:	Article
Language:	English
Published:	IWA Publishing 2015
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/8884/ http://umpir.ump.edu.my/id/eprint/8884/ http://umpir.ump.edu.my/id/eprint/8884/ http://umpir.ump.edu.my/id/eprint/8884/1/fkasa-2015-akbari-Customization%20of%20the%20OSSEM.pdf

id	ump-8884
recordtype	eprints
spelling	ump-88842016-04-18T07:45:01Z http://umpir.ump.edu.my/id/eprint/8884/ Customization of the OSSEM Model for Application to Annual Data from the Talar Aquifer, Northern Iran Akbari, Abolghasem Sedaei, Nazila Sedaei, Leila Cox, Jonathan Peter TA Engineering (General). Civil engineering (General) 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 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 denominated 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 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. IWA Publishing 2015 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8884/1/fkasa-2015-akbari-Customization%20of%20the%20OSSEM.pdf Akbari, Abolghasem and Sedaei, Nazila and Sedaei, Leila and Cox, Jonathan Peter (2015) Customization of the OSSEM Model for Application to Annual Data from the Talar Aquifer, Northern Iran. Water Science & Technology: Water Supply, 15 (3). pp. 656-666. ISSN 1606-9749 http://dx.doi.org/10.2166/ws.2015.021 DOI: 10.2166/ws.2015.021
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Akbari, Abolghasem Sedaei, Nazila Sedaei, Leila Cox, Jonathan Peter Customization of the OSSEM Model for Application to Annual Data from the Talar Aquifer, Northern Iran
description	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 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 denominated 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 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.
format	Article
author	Akbari, Abolghasem Sedaei, Nazila Sedaei, Leila Cox, Jonathan Peter
author_facet	Akbari, Abolghasem Sedaei, Nazila Sedaei, Leila Cox, Jonathan Peter
author_sort	Akbari, Abolghasem
title	Customization of the OSSEM Model for Application to Annual Data from the Talar Aquifer, Northern Iran
title_short	Customization of the OSSEM Model for Application to Annual Data from the Talar Aquifer, Northern Iran
title_full	Customization of the OSSEM Model for Application to Annual Data from the Talar Aquifer, Northern Iran
title_fullStr	Customization of the OSSEM Model for Application to Annual Data from the Talar Aquifer, Northern Iran
title_full_unstemmed	Customization of the OSSEM Model for Application to Annual Data from the Talar Aquifer, Northern Iran
title_sort	customization of the ossem model for application to annual data from the talar aquifer, northern iran
publisher	IWA Publishing
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/8884/ http://umpir.ump.edu.my/id/eprint/8884/ http://umpir.ump.edu.my/id/eprint/8884/ http://umpir.ump.edu.my/id/eprint/8884/1/fkasa-2015-akbari-Customization%20of%20the%20OSSEM.pdf
first_indexed	2023-09-18T22:06:56Z
last_indexed	2023-09-18T22:06:56Z
_version_	1777414771188957184

Customization of the OSSEM Model for Application to Annual Data from the Talar Aquifer, Northern Iran

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