Assessing the impacts of irrigation and soil types on the water balance and groundwater depletion in an irrigation district of the North China Plain based on a coupled SWAT-MODFLOW model

Well irrigation can alter water balance and threaten the sustainability of groundwater resources globally. It is a challenge to quantitatively evaluate the effect of complex irrigation water use in different soils on the water balance in the vadose zone and in the phreatic aquifer at a regional scale. An irrigation district in the North China Plain was chosen as the study site, where the soil types were mainly sandy loam and silt loam in well-irrigated areas and silt in surface water irrigation areas. The coupled SWAT-MODFLOW model was robustly verified by the two-year monthly soil water content and groundwater level data. Evaluation of water balance components across the entire study area showed that under the precipitation of 426 mm yr −1 and irrigation of 300 mm yr −1 (5.7 % surface water and 94.3 % groundwater), the actual evapotranspiration (actual ET) was 514 mm yr −1 , soil water recharge to groundwater was 252 mm yr −1 , and the groundwater amount declined 90 mm yr −1 . Irrigation increased the actual ET by 191 mm yr −1 and soil water percolation to groundwater by 134 mm yr −1 compared with the non-irrigation scenario. Groundwater abstraction for irrigation resulted in less soil water percolation (220 mm yr −1 ) and higher groundwater depletion (181 mm yr −1 ) in the sandy loam region than in the silt loam region where soil water percolation was 281 mm yr −1 and groundwater depletion was 161 mm yr −1 . The higher antecedent soil water content resulted in higher soil water percolation in fine-textured soil. Irrigation optimization measures are necessary to mitigate groundwater depletion in coarse-textured soil in the irrigated region of the North China Plain. • SWAT-MODFLOW was verified by two-year monthly soil water and groundwater level data. • Irrigation increased actual ET of 191 mm yr −1 and soil water percolation of 134 mm yr −1 . • Mixed water source irrigation caused groundwater amount declination of 90 mm yr −1 . • Sandy loam with low initial soil water content showed less soil water percolation than silt loam.

Authors

Institutions

Publication Details

Journal
Agricultural Water Management
Published
2025-10-28
DOI
https://doi.org/10.1016/j.agwat.2025.109890
Citations
3
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
2.45
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing the impacts of irrigation and soil types on the water balance and groundwater depletion in an irrigation district of the North China Plain based on a coupled SWAT-MODFLOW model

Rangjian Qiu, Defeng Wu, Junguo Liu, Shuai Chen et al.
3 citations
Agricultural Water Management
Hydrology and Watershed Management Studies
2.45
article

Assessing the impacts of irrigation and soil types on the water balance and groundwater depletion in an irrigation district of the North China Plain based on a coupled SWAT-MODFLOW model

Rangjian Qiu, Defeng Wu, Junguo Liu, Shuai Chen, Yuping Han, Gengchen Zhang, Chunying Wang, Minghuan Liu, Fuqiang Wang, Feifei Zhang
article en
3 citations

Abstract

Well irrigation can alter water balance and threaten the sustainability of groundwater resources globally. It is a challenge to quantitatively evaluate the effect of complex irrigation water use in different soils on the water balance in the vadose zone and in the phreatic aquifer at a regional scale. An irrigation district in the North China Plain was chosen as the study site, where the soil types were mainly sandy loam and silt loam in well-irrigated areas and silt in surface water irrigation areas. The coupled SWAT-MODFLOW model was robustly verified by the two-year monthly soil water content and groundwater level data. Evaluation of water balance components across the entire study area showed that under the precipitation of 426 mm yr −1 and irrigation of 300 mm yr −1 (5.7 % surface water and 94.3 % groundwater), the actual evapotranspiration (actual ET) was 514 mm yr −1 , soil water recharge to groundwater was 252 mm yr −1 , and the groundwater amount declined 90 mm yr −1 . Irrigation increased the actual ET by 191 mm yr −1 and soil water percolation to groundwater by 134 mm yr −1 compared with the non-irrigation scenario. Groundwater abstraction for irrigation resulted in less soil water percolation (220 mm yr −1 ) and higher groundwater depletion (181 mm yr −1 ) in the sandy loam region than in the silt loam region where soil water percolation was 281 mm yr −1 and groundwater depletion was 161 mm yr −1 . The higher antecedent soil water content resulted in higher soil water percolation in fine-textured soil. Irrigation optimization measures are necessary to mitigate groundwater depletion in coarse-textured soil in the irrigated region of the North China Plain. • SWAT-MODFLOW was verified by two-year monthly soil water and groundwater level data. • Irrigation increased actual ET of 191 mm yr −1 and soil water percolation of 134 mm yr −1 . • Mixed water source irrigation caused groundwater amount declination of 90 mm yr −1 . • Sandy loam with low initial soil water content showed less soil water percolation than silt loam.

Agricultural Water ManagementVol. 321
North China University of Water Resources and Electric Power (CN), Wuhan University (CN), Zhejiang Lab (CN), Yellow River Institute of Hydraulic Research (CN), Zhejiang University of Water Resource and Electric Power (CN)
Openalex Percentile: Top 10%
Hydrology and Watershed Management Studies
2.45
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.