Academic Journal

Development of a Comprehensive Water Simulation Model for Water, Food, and Energy Nexus Analysis in Basin Scale.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Development of a Comprehensive Water Simulation Model for Water, Food, and Energy Nexus Analysis in Basin Scale.
Συγγραφείς: Soleimanian, Elham, Afshar, Abbas, Molajou, Amir, Ghasemi, Mahdi
Πηγή: Water Resources Management; Sep2023, Vol. 37 Issue 12, p4589-4621, 33p
Θεματικοί όροι: Python programming language, Water withdrawals, Simulation methods & models, Modular construction, Goodness-of-fit tests, Time series analysis
Γεωγραφικοί όροι: Iran
Περίληψη: Water, food, and energy (WFE) systems are addressed with their complex interactions with each other. Some models are used to simulate WFE concept, but they cannot consider all nexus complexity. Based on author's knowledge, there is still a lack of suitable model that can consider relationships inner each WFE sub-systems and between them in nexus concept. The CWSNeX in this study is specifically tailored for a comprehensive water simulation under the WFE nexus system on a basin scale. It benefits from a modular structure and considers the most important interrelations in water sub-system for addressing the gaps and issues in a holistic WFE nexus simulation. CWSNeX is implemented using the Python programming language and can be utilized both within a WFE nexus platform and as a stand-alone tool with time series data. When integrated into a nexus platform, it interacts with the food and energy sub-systems, exchanging information and outputs in each time step. The CWSNeX consists of quantitative and qualitative parts. In the quantitative part, it simulates evaporation, river routing, groundwater, reservoir operation rule, surface water, and groundwater exchange, withdrawal in demand sites, and in the qualitative part, it simulates Total Dissolved Solid (TDS) that is important for irrigation sites. To evaluate the performance of the CWSNeX model, data from the Sufi Chay basin in Iran is used. The goodness of fit criterion (NS, RMSE, R2, d-factor and p-factor) showed a good performance of each module. [ABSTRACT FROM AUTHOR]
Copyright of Water Resources Management is the property of Springer Nature 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.)
Βάση Δεδομένων: Biomedical Index
FullText Links:
  – Type: other
Text:
  Availability: 0
CustomLinks:
  – Url: https://dx.doi.org/doi:10.1007/s11269-023-03558-1
    Name: EDS - Springer Nature Journals (s7799221)
    Category: fullText
    Text: View record at Springer
Header DbId: edm
DbLabel: Biomedical Index
An: 172438887
RelevancyScore: 944
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 943.778137207031
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Development of a Comprehensive Water Simulation Model for Water, Food, and Energy Nexus Analysis in Basin Scale.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Soleimanian%2C+Elham%22">Soleimanian, Elham</searchLink><br /><searchLink fieldCode="AR" term="%22Afshar%2C+Abbas%22">Afshar, Abbas</searchLink><br /><searchLink fieldCode="AR" term="%22Molajou%2C+Amir%22">Molajou, Amir</searchLink><br /><searchLink fieldCode="AR" term="%22Ghasemi%2C+Mahdi%22">Ghasemi, Mahdi</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: Water Resources Management; Sep2023, Vol. 37 Issue 12, p4589-4621, 33p
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Python+programming+language%22">Python programming language</searchLink><br /><searchLink fieldCode="DE" term="%22Water+withdrawals%22">Water withdrawals</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br /><searchLink fieldCode="DE" term="%22Modular+construction%22">Modular construction</searchLink><br /><searchLink fieldCode="DE" term="%22Goodness-of-fit+tests%22">Goodness-of-fit tests</searchLink><br /><searchLink fieldCode="DE" term="%22Time+series+analysis%22">Time series analysis</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Iran%22">Iran</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Water, food, and energy (WFE) systems are addressed with their complex interactions with each other. Some models are used to simulate WFE concept, but they cannot consider all nexus complexity. Based on author's knowledge, there is still a lack of suitable model that can consider relationships inner each WFE sub-systems and between them in nexus concept. The CWSNeX in this study is specifically tailored for a comprehensive water simulation under the WFE nexus system on a basin scale. It benefits from a modular structure and considers the most important interrelations in water sub-system for addressing the gaps and issues in a holistic WFE nexus simulation. CWSNeX is implemented using the Python programming language and can be utilized both within a WFE nexus platform and as a stand-alone tool with time series data. When integrated into a nexus platform, it interacts with the food and energy sub-systems, exchanging information and outputs in each time step. The CWSNeX consists of quantitative and qualitative parts. In the quantitative part, it simulates evaporation, river routing, groundwater, reservoir operation rule, surface water, and groundwater exchange, withdrawal in demand sites, and in the qualitative part, it simulates Total Dissolved Solid (TDS) that is important for irrigation sites. To evaluate the performance of the CWSNeX model, data from the Sufi Chay basin in Iran is used. The goodness of fit criterion (NS, RMSE, R<superscript>2</superscript>, d-factor and p-factor) showed a good performance of each module. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Water Resources Management is the property of Springer Nature 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edm&AN=172438887
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11269-023-03558-1
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 33
        StartPage: 4589
    Subjects:
      – SubjectFull: Iran
        Type: general
      – SubjectFull: Python programming language
        Type: general
      – SubjectFull: Water withdrawals
        Type: general
      – SubjectFull: Simulation methods & models
        Type: general
      – SubjectFull: Modular construction
        Type: general
      – SubjectFull: Goodness-of-fit tests
        Type: general
      – SubjectFull: Time series analysis
        Type: general
    Titles:
      – TitleFull: Development of a Comprehensive Water Simulation Model for Water, Food, and Energy Nexus Analysis in Basin Scale.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Soleimanian, Elham
      – PersonEntity:
          Name:
            NameFull: Afshar, Abbas
      – PersonEntity:
          Name:
            NameFull: Molajou, Amir
      – PersonEntity:
          Name:
            NameFull: Ghasemi, Mahdi
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 09
              Text: Sep2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 09204741
          Numbering:
            – Type: volume
              Value: 37
            – Type: issue
              Value: 12
          Titles:
            – TitleFull: Water Resources Management
              Type: main
ResultId 1