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