Analyzing the droughts and their determinants in the Fuhe River Basin using the SWAT model

【Objective】 The Fuhe River Basin is an important food production region in Northwestern China. It is increasingly affected by droughts. This paper analyses the occurrence of droughts and their key determinants in this region. 【Method】 The analysis was based on modelling. We simulated the changes in...

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Main Authors: LIU Mingchao, JIAN Hongfu, HAN Huiming, LONG Peng
Format: Article
Language:zho
Published: Science Press 2024-10-01
Series:Guan'gai paishui xuebao
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Online Access:https://www.ggpsxb.com/jgpxxben/ch/reader/view_abstract.aspx?file_no=20241013&flag=1
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author LIU Mingchao
JIAN Hongfu
HAN Huiming
LONG Peng
author_facet LIU Mingchao
JIAN Hongfu
HAN Huiming
LONG Peng
author_sort LIU Mingchao
collection DOAJ
description 【Objective】 The Fuhe River Basin is an important food production region in Northwestern China. It is increasingly affected by droughts. This paper analyses the occurrence of droughts and their key determinants in this region. 【Method】 The analysis was based on modelling. We simulated the changes in monthly soil water content from 1962 to 2019 using the SWAT model. The resulting data were then used to calculate the standardized soil moisture index. The characteristics of agricultural droughts were analyzed using the theory of runs, and the key determinants of the droughts were analyzed using the geographical detector. 【Result】 ① The coefficient of determination (R2) and the Nash efficiency coefficient (ENS) between the modelled and measured results in the calibration are both higher than 0.80; the coefficient of determination between the predicted soil moisture content and the measured soil moisture content is 0.52. ② The duration of droughts in different regions in the basin varied from 3.60 to 4.31 months, and the drought intensity ranged from 4.91 to 5.61, both varying spatially, higher in the North and South and lower in the center. ③ The influence of temperature, solar radiation, and wind speed on spatial variation in the droughts, characterized by the q-value, exceeds 0.30. Other environmental factors are nonlinearly interacted in their influence on the droughts. 【Conclusion】 The standardized soil moisture index can quantitatively characterize droughts in the Fuhe River Basin. Droughts in the basin vary spatially, with temperature, solar radiation and wind speed being the main contributing factors.
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spelling doaj-art-d9f44e8b6af64b879ddcfd821cdd9a4d2025-08-20T02:11:21ZzhoScience PressGuan'gai paishui xuebao1672-33172024-10-01431011412010.13522/j.cnki.ggps.20240511672-3317(2024)10-0114-07Analyzing the droughts and their determinants in the Fuhe River Basin using the SWAT modelLIU Mingchao0JIAN Hongfu1HAN Huiming2LONG Peng3Jiangxi Academy of Water Sciences and Engineering, Nanchang 330029, ChinaJiangxi Academy of Water Sciences and Engineering, Nanchang 330029, ChinaJiangxi Academy of Water Sciences and Engineering, Nanchang 330029, ChinaJiangxi Academy of Water Sciences and Engineering, Nanchang 330029, China【Objective】 The Fuhe River Basin is an important food production region in Northwestern China. It is increasingly affected by droughts. This paper analyses the occurrence of droughts and their key determinants in this region. 【Method】 The analysis was based on modelling. We simulated the changes in monthly soil water content from 1962 to 2019 using the SWAT model. The resulting data were then used to calculate the standardized soil moisture index. The characteristics of agricultural droughts were analyzed using the theory of runs, and the key determinants of the droughts were analyzed using the geographical detector. 【Result】 ① The coefficient of determination (R2) and the Nash efficiency coefficient (ENS) between the modelled and measured results in the calibration are both higher than 0.80; the coefficient of determination between the predicted soil moisture content and the measured soil moisture content is 0.52. ② The duration of droughts in different regions in the basin varied from 3.60 to 4.31 months, and the drought intensity ranged from 4.91 to 5.61, both varying spatially, higher in the North and South and lower in the center. ③ The influence of temperature, solar radiation, and wind speed on spatial variation in the droughts, characterized by the q-value, exceeds 0.30. Other environmental factors are nonlinearly interacted in their influence on the droughts. 【Conclusion】 The standardized soil moisture index can quantitatively characterize droughts in the Fuhe River Basin. Droughts in the basin vary spatially, with temperature, solar radiation and wind speed being the main contributing factors.https://www.ggpsxb.com/jgpxxben/ch/reader/view_abstract.aspx?file_no=20241013&flag=1swatagricultural droughtgeographical detectorfuhe river basin
spellingShingle LIU Mingchao
JIAN Hongfu
HAN Huiming
LONG Peng
Analyzing the droughts and their determinants in the Fuhe River Basin using the SWAT model
Guan'gai paishui xuebao
swat
agricultural drought
geographical detector
fuhe river basin
title Analyzing the droughts and their determinants in the Fuhe River Basin using the SWAT model
title_full Analyzing the droughts and their determinants in the Fuhe River Basin using the SWAT model
title_fullStr Analyzing the droughts and their determinants in the Fuhe River Basin using the SWAT model
title_full_unstemmed Analyzing the droughts and their determinants in the Fuhe River Basin using the SWAT model
title_short Analyzing the droughts and their determinants in the Fuhe River Basin using the SWAT model
title_sort analyzing the droughts and their determinants in the fuhe river basin using the swat model
topic swat
agricultural drought
geographical detector
fuhe river basin
url https://www.ggpsxb.com/jgpxxben/ch/reader/view_abstract.aspx?file_no=20241013&flag=1
work_keys_str_mv AT liumingchao analyzingthedroughtsandtheirdeterminantsinthefuheriverbasinusingtheswatmodel
AT jianhongfu analyzingthedroughtsandtheirdeterminantsinthefuheriverbasinusingtheswatmodel
AT hanhuiming analyzingthedroughtsandtheirdeterminantsinthefuheriverbasinusingtheswatmodel
AT longpeng analyzingthedroughtsandtheirdeterminantsinthefuheriverbasinusingtheswatmodel