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SWAT-SF: A flexible SWAT-based model for watershed-scale water and soil salinity modeling.
Maleki Tirabadi, Mohammad Sadegh; Banihabib, Mohammad Ebrahim; Randhir, Timothy O.
Afiliación
  • Maleki Tirabadi MS; School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran. Electronic address: msmaleki@hotmail.com.
  • Banihabib ME; Department of Water Engineering, College of Abouraihan, University of Tehran, Tehran, Iran. Electronic address: banihabib@ut.ac.ir.
  • Randhir TO; Department of Environmental Conservation, College of Natural Sciences, University of Massachusetts, Amherst, United States. Electronic address: randhir@umass.edu.
J Contam Hydrol ; 244: 103893, 2022 01.
Article en En | MEDLINE | ID: mdl-34861478
ABSTRACT
Natural and anthropogenic complex processes release salts into the environment. These change the balances of natural systems in the watersheds. Models can assist study of salinity processes throughout watersheds. This study proposes a flexible water and soil salinity module for the Soil and Water Assessment Tool (SWAT) that can profitably incorporate expert scientific judgments into a deterministic salinity framework to adapt predicted salinity processes to actual salinity processes watershed-scale. The proposed flexible salinity model (SWAT-SF) was developed using new equations for salinity assessment and then successfully applied to the Dehram River Basin located south of Iran that endangers natural and anthropogenic salinity problems. The SWAT-SF model uses a general framework that can be utilized with/without the direct guidance of experts for the determination of salinity processes, the extent of the salinity, identification and investigation of the saline site, assessment and management of the salinity, and evaluation of salinity economics throughout the world.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Suelo / Agua Tipo de estudio: Prognostic_studies Idioma: En Revista: J Contam Hydrol Asunto de la revista: TOXICOLOGIA Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Suelo / Agua Tipo de estudio: Prognostic_studies Idioma: En Revista: J Contam Hydrol Asunto de la revista: TOXICOLOGIA Año: 2022 Tipo del documento: Article