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Improving the management of agricultural water resources to provide Gavkhuni wetland ecological water right in Iran.

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Title: Improving the management of agricultural water resources to provide Gavkhuni wetland ecological water right in Iran.
Authors: Haddad, Razieh1 (AUTHOR) razieh.haddad@ut.ac.ir, Najafi Marghmaleki, Sajad1 (AUTHOR) sajad.najafi71@ut.ac.ir, Kardan Moghaddam, Hamid2 (AUTHOR) h.kardan@wri.ac.ir, Mofidi, Mehdi1 (AUTHOR) Mofidi.m@ut.ac.ir, Mirzavand, Mohammad3 (AUTHOR) mmirzavand@ut.ac.ir, Javadi, Saman4 (AUTHOR) Javadis@ut.ac.ir
Source: Environment, Development & Sustainability. Feb2025, Vol. 27 Issue 2, p3549-3572. 24p.
Subject Terms: *Water management, *Decentralized control systems, *Multiple criteria decision making, *Irrigation efficiency, *Agricultural modernization
Abstract: One of the main approaches for wetlands rehabilitation is improving water management in the agricultural sector and reallocation of stored water to the environmental sector. Due to the over-water harvesting from the Zayandehrud River (mainly for agricultural purposes), the Gavkhuni wetland in central Iran is facing serious water stress. Hence, the aim of this study is to rehabilitate the Gavkhuni wetland by considering the water management scenarios in the agricultural sector. These scenarios are modernization and upgrading the operation of agricultural water distribution systems (A), upgrading in-farm irrigation systems (B), optimizing the cultivation pattern (C) and reducing the utilization of groundwater resources (D), and combining these scenarios together as strategic scenarios to provide ecological water right. In order to evaluate the strategic scenarios for allocating water resources to the wetland, the Zayandehrud basin was simulated using the WEAP model by considering the water resources and uses. For evaluating the presented scenarios based on the sustainable development indicators and due to the uncertainty and intuitive judgment of decision-makers, the fuzzy-CP model was applied. The results showed that water consumption management in the agricultural sector plays a significant role in increasing the inflow to the wetland. This is achieved through the modernization and upgrading of agricultural water distribution systems using two approaches: centralized control (model predictive control) and decentralized control system (proportional-integral), which improve irrigation efficiency by 13.1%, modify cropping patterns by 18.8%, and reduce groundwater extraction by 30%, resulting in a 49.1 and 19.1% increase in inflow to the wetland, respectively. Additionally, the combination of four scenarios indicated a more than 100% increase in the inflow volume to the wetland. The prioritization of scenarios based on a fuzzy agreement multi-criteria decision-making model demonstrated that scenarios ABCD, ACD, and A have a higher priority in increasing the inflow to the wetland compared to other scenarios. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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DbLabel: Energy & Power Source
An: 183080744
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  Label: Title
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  Data: Improving the management of agricultural water resources to provide Gavkhuni wetland ecological water right in Iran.
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  Data: <searchLink fieldCode="AR" term="%22Haddad%2C+Razieh%22">Haddad, Razieh</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> razieh.haddad@ut.ac.ir</i><br /><searchLink fieldCode="AR" term="%22Najafi+Marghmaleki%2C+Sajad%22">Najafi Marghmaleki, Sajad</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sajad.najafi71@ut.ac.ir</i><br /><searchLink fieldCode="AR" term="%22Kardan+Moghaddam%2C+Hamid%22">Kardan Moghaddam, Hamid</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> h.kardan@wri.ac.ir</i><br /><searchLink fieldCode="AR" term="%22Mofidi%2C+Mehdi%22">Mofidi, Mehdi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> Mofidi.m@ut.ac.ir</i><br /><searchLink fieldCode="AR" term="%22Mirzavand%2C+Mohammad%22">Mirzavand, Mohammad</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> mmirzavand@ut.ac.ir</i><br /><searchLink fieldCode="AR" term="%22Javadi%2C+Saman%22">Javadi, Saman</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> Javadis@ut.ac.ir</i>
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  Data: <searchLink fieldCode="JN" term="%22Environment%2C+Development+%26+Sustainability%22">Environment, Development & Sustainability</searchLink>. Feb2025, Vol. 27 Issue 2, p3549-3572. 24p.
– Name: Subject
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  Data: *<searchLink fieldCode="DE" term="%22Water+management%22">Water management</searchLink><br />*<searchLink fieldCode="DE" term="%22Decentralized+control+systems%22">Decentralized control systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Multiple+criteria+decision+making%22">Multiple criteria decision making</searchLink><br />*<searchLink fieldCode="DE" term="%22Irrigation+efficiency%22">Irrigation efficiency</searchLink><br />*<searchLink fieldCode="DE" term="%22Agricultural+modernization%22">Agricultural modernization</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: One of the main approaches for wetlands rehabilitation is improving water management in the agricultural sector and reallocation of stored water to the environmental sector. Due to the over-water harvesting from the Zayandehrud River (mainly for agricultural purposes), the Gavkhuni wetland in central Iran is facing serious water stress. Hence, the aim of this study is to rehabilitate the Gavkhuni wetland by considering the water management scenarios in the agricultural sector. These scenarios are modernization and upgrading the operation of agricultural water distribution systems (A), upgrading in-farm irrigation systems (B), optimizing the cultivation pattern (C) and reducing the utilization of groundwater resources (D), and combining these scenarios together as strategic scenarios to provide ecological water right. In order to evaluate the strategic scenarios for allocating water resources to the wetland, the Zayandehrud basin was simulated using the WEAP model by considering the water resources and uses. For evaluating the presented scenarios based on the sustainable development indicators and due to the uncertainty and intuitive judgment of decision-makers, the fuzzy-CP model was applied. The results showed that water consumption management in the agricultural sector plays a significant role in increasing the inflow to the wetland. This is achieved through the modernization and upgrading of agricultural water distribution systems using two approaches: centralized control (model predictive control) and decentralized control system (proportional-integral), which improve irrigation efficiency by 13.1%, modify cropping patterns by 18.8%, and reduce groundwater extraction by 30%, resulting in a 49.1 and 19.1% increase in inflow to the wetland, respectively. Additionally, the combination of four scenarios indicated a more than 100% increase in the inflow volume to the wetland. The prioritization of scenarios based on a fuzzy agreement multi-criteria decision-making model demonstrated that scenarios ABCD, ACD, and A have a higher priority in increasing the inflow to the wetland compared to other scenarios. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10668-023-04028-9
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      – Code: eng
        Text: English
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        PageCount: 24
        StartPage: 3549
    Subjects:
      – SubjectFull: Water management
        Type: general
      – SubjectFull: Decentralized control systems
        Type: general
      – SubjectFull: Multiple criteria decision making
        Type: general
      – SubjectFull: Irrigation efficiency
        Type: general
      – SubjectFull: Agricultural modernization
        Type: general
    Titles:
      – TitleFull: Improving the management of agricultural water resources to provide Gavkhuni wetland ecological water right in Iran.
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            NameFull: Haddad, Razieh
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            NameFull: Najafi Marghmaleki, Sajad
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            NameFull: Kardan Moghaddam, Hamid
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            NameFull: Mofidi, Mehdi
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            NameFull: Mirzavand, Mohammad
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            NameFull: Javadi, Saman
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            – D: 01
              M: 02
              Text: Feb2025
              Type: published
              Y: 2025
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              Value: 27
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            – TitleFull: Environment, Development & Sustainability
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