Spatio-temporal evolution and simulation of soil salinization in typical oasis water-saving irrigation area based on long series data
Salinization in irrigation areas is a global environmental challenge. The complexity of the natural environment increases the uncertainty of salinization distribution. This study focuses on the Manasi River Irrigation Area, analyzing the relationships between soil salinity and various factors, inclu...
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| Language: | English |
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Elsevier
2025-02-01
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| Series: | Agricultural Water Management |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0378377424006115 |
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| author | Wenhao Li Shuanglong Gao Dongjie Pei Yue Wen Xiaoguo Mu Mengjie Liu Zhenhua Wang |
| author_facet | Wenhao Li Shuanglong Gao Dongjie Pei Yue Wen Xiaoguo Mu Mengjie Liu Zhenhua Wang |
| author_sort | Wenhao Li |
| collection | DOAJ |
| description | Salinization in irrigation areas is a global environmental challenge. The complexity of the natural environment increases the uncertainty of salinization distribution. This study focuses on the Manasi River Irrigation Area, analyzing the relationships between soil salinity and various factors, including irrigation area (IAR), water-saving irrigation area (WSIA), surface water withdrawal (SWDA), groundwater withdrawal (UWDA), groundwater depth (GL), groundwater mineralization (MG), elevation (EL), soil bulk density (SBD), evaporation (AE), and precipitation (AR) over the temporal and spatial scales from 2013 to 2021 by correlation analysis. A geographically weighted regression (GWR) model was employed to predict the distribution of soil salinization at the irrigation scale. The results show that soil salinization in irrigation areas showed obvious spatial variation, and with time, the degree of soil salinization continued to improve, and the proportion of salinization area decreased from 98.9 % in 2013 to 63.3 % in 2021. The proportion of severe salinization and saline soil decreased to 0. On the spatial scale, there is a highly significant correlation between soil salinity and irrigation area (IAR), water-saving irrigation area (WSIA), surface water diversion (SWDA), underground water diversion (UWDA), groundwater level (GL), mineralization of groundwater (MG), elevation (EL) and soil bulk density (SBD). The correlation coefficient between soil salinity and WSIA MG is the highest, at −0.92 and 0.98, respectively. There is a highly significant correlation between soil salinity on the time scale and IAR, WSIA, SWDA, GL, MG, and SBD on the annual scale. The largest correlation coefficients are between soil salinity and WSIA (-0.99) and MG (0.99). The simulation result of soil salinity by GWR model has high precision, the slope of the simulation result is greater than 0.94, R2 is greater than 0.98, and the relative root mean square error RRMSE is less than 13.08 %, which can well simulate the spatial distribution of soil salt in the irrigation area. The findings of this study are significant for understanding and controlling the distribution of soil salinization at the irrigation area scale. |
| format | Article |
| id | doaj-art-3b8328814a1e40bdaa9035dd29f614a7 |
| institution | Kabale University |
| issn | 1873-2283 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Agricultural Water Management |
| spelling | doaj-art-3b8328814a1e40bdaa9035dd29f614a72025-01-07T04:16:58ZengElsevierAgricultural Water Management1873-22832025-02-01307109275Spatio-temporal evolution and simulation of soil salinization in typical oasis water-saving irrigation area based on long series dataWenhao Li0Shuanglong Gao1Dongjie Pei2Yue Wen3Xiaoguo Mu4Mengjie Liu5Zhenhua Wang6College of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi, Xinjiang 832000, China; Key Laboratory of Modern Water-Saving Irrigation of Xinjiang Production & Construction Group, Shihezi University, Shihezi, Xinjiang 832000, China; Technology Innovation Center for Agricultural Water and Fertilizer Efficiency Equipment of Xinjiang Production & Construction Corps, Shihezi, Xinjiang 832000, China; Key Laboratory of Northwest Oasis Water-Saving Agriculture, Ministry of Agriculture and Rural Affairs, Shihezi, Xinjiang 832000, ChinaCollege of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi, Xinjiang 832000, China; Key Laboratory of Modern Water-Saving Irrigation of Xinjiang Production & Construction Group, Shihezi University, Shihezi, Xinjiang 832000, China; Technology Innovation Center for Agricultural Water and Fertilizer Efficiency Equipment of Xinjiang Production & Construction Corps, Shihezi, Xinjiang 832000, China; Key Laboratory of Northwest Oasis Water-Saving Agriculture, Ministry of Agriculture and Rural Affairs, Shihezi, Xinjiang 832000, ChinaCollege of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi, Xinjiang 832000, China; Key Laboratory of Modern Water-Saving Irrigation of Xinjiang Production & Construction Group, Shihezi University, Shihezi, Xinjiang 832000, China; Technology Innovation Center for Agricultural Water and Fertilizer Efficiency Equipment of Xinjiang Production & Construction Corps, Shihezi, Xinjiang 832000, China; Key Laboratory of Northwest Oasis Water-Saving Agriculture, Ministry of Agriculture and Rural Affairs, Shihezi, Xinjiang 832000, ChinaCollege of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi, Xinjiang 832000, China; Key Laboratory of Modern Water-Saving Irrigation of Xinjiang Production & Construction Group, Shihezi University, Shihezi, Xinjiang 832000, China; Technology Innovation Center for Agricultural Water and Fertilizer Efficiency Equipment of Xinjiang Production & Construction Corps, Shihezi, Xinjiang 832000, China; Key Laboratory of Northwest Oasis Water-Saving Agriculture, Ministry of Agriculture and Rural Affairs, Shihezi, Xinjiang 832000, ChinaCollege of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi, Xinjiang 832000, China; Key Laboratory of Modern Water-Saving Irrigation of Xinjiang Production & Construction Group, Shihezi University, Shihezi, Xinjiang 832000, China; Technology Innovation Center for Agricultural Water and Fertilizer Efficiency Equipment of Xinjiang Production & Construction Corps, Shihezi, Xinjiang 832000, China; Key Laboratory of Northwest Oasis Water-Saving Agriculture, Ministry of Agriculture and Rural Affairs, Shihezi, Xinjiang 832000, ChinaCollege of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi, Xinjiang 832000, China; Key Laboratory of Modern Water-Saving Irrigation of Xinjiang Production & Construction Group, Shihezi University, Shihezi, Xinjiang 832000, China; Technology Innovation Center for Agricultural Water and Fertilizer Efficiency Equipment of Xinjiang Production & Construction Corps, Shihezi, Xinjiang 832000, China; Key Laboratory of Northwest Oasis Water-Saving Agriculture, Ministry of Agriculture and Rural Affairs, Shihezi, Xinjiang 832000, ChinaCollege of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi, Xinjiang 832000, China; Key Laboratory of Modern Water-Saving Irrigation of Xinjiang Production & Construction Group, Shihezi University, Shihezi, Xinjiang 832000, China; Technology Innovation Center for Agricultural Water and Fertilizer Efficiency Equipment of Xinjiang Production & Construction Corps, Shihezi, Xinjiang 832000, China; Key Laboratory of Northwest Oasis Water-Saving Agriculture, Ministry of Agriculture and Rural Affairs, Shihezi, Xinjiang 832000, China; Corresponding author at: College of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi, Xinjiang 832000, China.Salinization in irrigation areas is a global environmental challenge. The complexity of the natural environment increases the uncertainty of salinization distribution. This study focuses on the Manasi River Irrigation Area, analyzing the relationships between soil salinity and various factors, including irrigation area (IAR), water-saving irrigation area (WSIA), surface water withdrawal (SWDA), groundwater withdrawal (UWDA), groundwater depth (GL), groundwater mineralization (MG), elevation (EL), soil bulk density (SBD), evaporation (AE), and precipitation (AR) over the temporal and spatial scales from 2013 to 2021 by correlation analysis. A geographically weighted regression (GWR) model was employed to predict the distribution of soil salinization at the irrigation scale. The results show that soil salinization in irrigation areas showed obvious spatial variation, and with time, the degree of soil salinization continued to improve, and the proportion of salinization area decreased from 98.9 % in 2013 to 63.3 % in 2021. The proportion of severe salinization and saline soil decreased to 0. On the spatial scale, there is a highly significant correlation between soil salinity and irrigation area (IAR), water-saving irrigation area (WSIA), surface water diversion (SWDA), underground water diversion (UWDA), groundwater level (GL), mineralization of groundwater (MG), elevation (EL) and soil bulk density (SBD). The correlation coefficient between soil salinity and WSIA MG is the highest, at −0.92 and 0.98, respectively. There is a highly significant correlation between soil salinity on the time scale and IAR, WSIA, SWDA, GL, MG, and SBD on the annual scale. The largest correlation coefficients are between soil salinity and WSIA (-0.99) and MG (0.99). The simulation result of soil salinity by GWR model has high precision, the slope of the simulation result is greater than 0.94, R2 is greater than 0.98, and the relative root mean square error RRMSE is less than 13.08 %, which can well simulate the spatial distribution of soil salt in the irrigation area. The findings of this study are significant for understanding and controlling the distribution of soil salinization at the irrigation area scale.http://www.sciencedirect.com/science/article/pii/S0378377424006115SalinizationDriving factorsGWR modelSpatio-temporal scale |
| spellingShingle | Wenhao Li Shuanglong Gao Dongjie Pei Yue Wen Xiaoguo Mu Mengjie Liu Zhenhua Wang Spatio-temporal evolution and simulation of soil salinization in typical oasis water-saving irrigation area based on long series data Agricultural Water Management Salinization Driving factors GWR model Spatio-temporal scale |
| title | Spatio-temporal evolution and simulation of soil salinization in typical oasis water-saving irrigation area based on long series data |
| title_full | Spatio-temporal evolution and simulation of soil salinization in typical oasis water-saving irrigation area based on long series data |
| title_fullStr | Spatio-temporal evolution and simulation of soil salinization in typical oasis water-saving irrigation area based on long series data |
| title_full_unstemmed | Spatio-temporal evolution and simulation of soil salinization in typical oasis water-saving irrigation area based on long series data |
| title_short | Spatio-temporal evolution and simulation of soil salinization in typical oasis water-saving irrigation area based on long series data |
| title_sort | spatio temporal evolution and simulation of soil salinization in typical oasis water saving irrigation area based on long series data |
| topic | Salinization Driving factors GWR model Spatio-temporal scale |
| url | http://www.sciencedirect.com/science/article/pii/S0378377424006115 |
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