Analysis of crop virtual water flow at dual scales in yellow river basin based on the SWAT model

Abstract Recently, water scarcity has been becoming increasingly severe, and the research of virtual water flow has offered a scientific foundation for effective water resource management. This study used a SWAT semi-distributed hydrological model, focusing on sub-basins and secondary water resource...

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Main Authors: Jing Liu, Tiantian Zi, Lan Wang, Xinchun Cao
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-13252-4
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author Jing Liu
Tiantian Zi
Lan Wang
Xinchun Cao
author_facet Jing Liu
Tiantian Zi
Lan Wang
Xinchun Cao
author_sort Jing Liu
collection DOAJ
description Abstract Recently, water scarcity has been becoming increasingly severe, and the research of virtual water flow has offered a scientific foundation for effective water resource management. This study used a SWAT semi-distributed hydrological model, focusing on sub-basins and secondary water resource divisions to quantitatively assess crop virtual water flow in Yellow River Basin (YRB), along with its network structure and water saving benefits. From 2007 to 2020, crop virtual water flow increased by over 20% at both scales, with net outflow areas predominantly in the north and net inflow areas mainly in the south. High centrality areas were predominantly located in the upstream mid-section and the eastern and southern regions of the midstream. The middle reaches of the upper Yellow River Basin and the middle YRB consistently occupied central positions. Water saving benefits significantly improved, with the total water saving at the secondary water resource divisions scale increasing from 21.97 $$\times$$ 108 to 46.92 $$\times$$ 108 m³, and the water saving efficiency growing by 72%. Areas with positive water saving benefits accounted for approximately 70% of YRB, especially in the northeastern part of the middle reaches of the YRB, while negative water saving benefits were mostly found in the southern middle and lower reaches. In the future, enhancing the monitoring and evaluation of crop virtual water flow will be essential. Strategic planning of crop trade routes should integrate both scales, emphasizing the development of core network regions while fostering growth in peripheral areas to ensure network stability. Additionally, implementing water-saving technologies and adjusting crop planting structures are vital for sustainable water resource management in YRB.
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spelling doaj-art-9c963d7233ba4e21ad2ba9d00a8781d02025-08-20T03:04:37ZengNature PortfolioScientific Reports2045-23222025-08-0115111910.1038/s41598-025-13252-4Analysis of crop virtual water flow at dual scales in yellow river basin based on the SWAT modelJing Liu0Tiantian Zi1Lan Wang2Xinchun Cao3College of Hydrology and Water Resources, Hohai UniversityCollege of Hydrology and Water Resources, Hohai UniversityCollege of Hydrology and Water Resources, Hohai UniversityCollege of Agricultural Science and Engineering, Hohai UniversityAbstract Recently, water scarcity has been becoming increasingly severe, and the research of virtual water flow has offered a scientific foundation for effective water resource management. This study used a SWAT semi-distributed hydrological model, focusing on sub-basins and secondary water resource divisions to quantitatively assess crop virtual water flow in Yellow River Basin (YRB), along with its network structure and water saving benefits. From 2007 to 2020, crop virtual water flow increased by over 20% at both scales, with net outflow areas predominantly in the north and net inflow areas mainly in the south. High centrality areas were predominantly located in the upstream mid-section and the eastern and southern regions of the midstream. The middle reaches of the upper Yellow River Basin and the middle YRB consistently occupied central positions. Water saving benefits significantly improved, with the total water saving at the secondary water resource divisions scale increasing from 21.97 $$\times$$ 108 to 46.92 $$\times$$ 108 m³, and the water saving efficiency growing by 72%. Areas with positive water saving benefits accounted for approximately 70% of YRB, especially in the northeastern part of the middle reaches of the YRB, while negative water saving benefits were mostly found in the southern middle and lower reaches. In the future, enhancing the monitoring and evaluation of crop virtual water flow will be essential. Strategic planning of crop trade routes should integrate both scales, emphasizing the development of core network regions while fostering growth in peripheral areas to ensure network stability. Additionally, implementing water-saving technologies and adjusting crop planting structures are vital for sustainable water resource management in YRB.https://doi.org/10.1038/s41598-025-13252-4Virtual water flowNetwork structureWater saving benefitsSWATSub-basinsSecondary water resource divisions
spellingShingle Jing Liu
Tiantian Zi
Lan Wang
Xinchun Cao
Analysis of crop virtual water flow at dual scales in yellow river basin based on the SWAT model
Scientific Reports
Virtual water flow
Network structure
Water saving benefits
SWAT
Sub-basins
Secondary water resource divisions
title Analysis of crop virtual water flow at dual scales in yellow river basin based on the SWAT model
title_full Analysis of crop virtual water flow at dual scales in yellow river basin based on the SWAT model
title_fullStr Analysis of crop virtual water flow at dual scales in yellow river basin based on the SWAT model
title_full_unstemmed Analysis of crop virtual water flow at dual scales in yellow river basin based on the SWAT model
title_short Analysis of crop virtual water flow at dual scales in yellow river basin based on the SWAT model
title_sort analysis of crop virtual water flow at dual scales in yellow river basin based on the swat model
topic Virtual water flow
Network structure
Water saving benefits
SWAT
Sub-basins
Secondary water resource divisions
url https://doi.org/10.1038/s41598-025-13252-4
work_keys_str_mv AT jingliu analysisofcropvirtualwaterflowatdualscalesinyellowriverbasinbasedontheswatmodel
AT tiantianzi analysisofcropvirtualwaterflowatdualscalesinyellowriverbasinbasedontheswatmodel
AT lanwang analysisofcropvirtualwaterflowatdualscalesinyellowriverbasinbasedontheswatmodel
AT xinchuncao analysisofcropvirtualwaterflowatdualscalesinyellowriverbasinbasedontheswatmodel