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An investigation of coupled natural human systems using a two-way coupled agent-based modeling framework.

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Title: An investigation of coupled natural human systems using a two-way coupled agent-based modeling framework.
Authors: Lin, Chung-Yi1 (AUTHOR) chl319@lehigh.edu, Yang, Y.C. Ethan1 (AUTHOR) yey217@lehigh.edu, Malek, Keyvan2 (AUTHOR) keyvan.malek@nutrien.com, Adam, Jennifer C.3 (AUTHOR) jcadam@wsu.edu
Source: Environmental Modelling & Software. Sep2022, Vol. 155, pN.PAG-N.PAG. 1p.
Subject Terms: *Water diversion, *Watersheds, *Water rights, Multilevel models, Social norms
Geographic Terms: Yakima (Wash.), Washington (State)
Abstract: Improving the understanding of coupled natural human systems (CNHS) can better inform environmental policymaking. We investigated the co-evolution (i.e. , bidirectional interactions) issues in CNHS via two-way coupling RiverWare (RW; a river-reservoir routing model) with agent-based models (ABMs, human decision models) in the Yakima River Basin in Washington, US. Results show that coupled models can better capture the historical irrigation diversion (human) and streamflow (nature) dynamics. We further demonstrated the effect of social norms (i.e. , the influence of neighbors) among farmers and tested a "water reallocation" scenario to evaluate the influence of water policies on irrigation diversion behaviors. Detailed model structure and parameter uncertainty analysis are suggested to further quantify the benefit of CNHS models in multi-level water resources governance. • Coupled models can better capture the water diversion and streamflow dynamics • The social norms effect is influenced by policy rules and equifinality • Different water allocations show the feedback effect of water policy on diversion behaviors [ABSTRACT FROM AUTHOR]
Copyright of Environmental Modelling & Software is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: GreenFILE
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DbLabel: GreenFILE
An: 158391348
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: An investigation of coupled natural human systems using a two-way coupled agent-based modeling framework.
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  Data: <searchLink fieldCode="AR" term="%22Lin%2C+Chung-Yi%22">Lin, Chung-Yi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> chl319@lehigh.edu</i><br /><searchLink fieldCode="AR" term="%22Yang%2C+Y%2EC%2E+Ethan%22">Yang, Y.C. Ethan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> yey217@lehigh.edu</i><br /><searchLink fieldCode="AR" term="%22Malek%2C+Keyvan%22">Malek, Keyvan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> keyvan.malek@nutrien.com</i><br /><searchLink fieldCode="AR" term="%22Adam%2C+Jennifer+C%2E%22">Adam, Jennifer C.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> jcadam@wsu.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Modelling+%26+Software%22">Environmental Modelling & Software</searchLink>. Sep2022, Vol. 155, pN.PAG-N.PAG. 1p.
– Name: Subject
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  Data: *<searchLink fieldCode="DE" term="%22Water+diversion%22">Water diversion</searchLink><br />*<searchLink fieldCode="DE" term="%22Watersheds%22">Watersheds</searchLink><br />*<searchLink fieldCode="DE" term="%22Water+rights%22">Water rights</searchLink><br /><searchLink fieldCode="DE" term="%22Multilevel+models%22">Multilevel models</searchLink><br /><searchLink fieldCode="DE" term="%22Social+norms%22">Social norms</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Yakima+%28Wash%2E%29%22">Yakima (Wash.)</searchLink><br /><searchLink fieldCode="DE" term="%22Washington+%28State%29%22">Washington (State)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Improving the understanding of coupled natural human systems (CNHS) can better inform environmental policymaking. We investigated the co-evolution (i.e. , bidirectional interactions) issues in CNHS via two-way coupling RiverWare (RW; a river-reservoir routing model) with agent-based models (ABMs, human decision models) in the Yakima River Basin in Washington, US. Results show that coupled models can better capture the historical irrigation diversion (human) and streamflow (nature) dynamics. We further demonstrated the effect of social norms (i.e. , the influence of neighbors) among farmers and tested a "water reallocation" scenario to evaluate the influence of water policies on irrigation diversion behaviors. Detailed model structure and parameter uncertainty analysis are suggested to further quantify the benefit of CNHS models in multi-level water resources governance. • Coupled models can better capture the water diversion and streamflow dynamics • The social norms effect is influenced by policy rules and equifinality • Different water allocations show the feedback effect of water policy on diversion behaviors [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Environmental Modelling & Software is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.envsoft.2022.105451
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      – Code: eng
        Text: English
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        PageCount: 1
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    Subjects:
      – SubjectFull: Water diversion
        Type: general
      – SubjectFull: Watersheds
        Type: general
      – SubjectFull: Water rights
        Type: general
      – SubjectFull: Multilevel models
        Type: general
      – SubjectFull: Social norms
        Type: general
      – SubjectFull: Yakima (Wash.)
        Type: general
      – SubjectFull: Washington (State)
        Type: general
    Titles:
      – TitleFull: An investigation of coupled natural human systems using a two-way coupled agent-based modeling framework.
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            NameFull: Lin, Chung-Yi
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            NameFull: Yang, Y.C. Ethan
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            – D: 01
              M: 09
              Text: Sep2022
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              Y: 2022
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              Value: 155
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