Quantitative study of the impact of land use change on groundwater level in the Songnen Plain, China

the Songnen Plain, China Groundwater, being a significant constituent of terrestrial water supplies, has consistently garnered considerable attention. In recent years, there have been significant oscillations in groundwater levels, mostly attributed to changes in the underlying surface. Nonetheless, there is a scarcity of investigations that effectively assess the influence of alterations in land use on the levels of groundwater. In this study, the MIKE SHE/MIKE 11 model is employed to simulate the process of groundwater level change in the Songnen Plain over a span of four decades. Scenario analysis is utilized to investigate the influence of climate change and human activities on groundwater level change. Additionally, the impact of various land use changes on groundwater level change is quantified using the center of gravity offset model. The study showcased the great simulation accuracy of the MIKE SHE/MIKE 11 model in simulating the groundwater level on the Songnen Plain. The correlation coefficient (R) between different stations exceeds 0.8, and the Nash efficiency coefficient (NSE) surpasses 0.75. Overall, climate change is the predominant factor responsible for changes in groundwater levels, constituting around 70–80 percent of the total impact. Nevertheless, the extent of its impact on groundwater levels is growing as human activities escalate. In areas with significant human activity, the main cause of changes in groundwater levels is linked to human activities, which account for around 65–75 percent of the observed variations. Regarding the influence of various land-use types on groundwater levels, the primary factors contributing to the decrease in groundwater levels are paddy fields and construction land. Construction land has a greater impact than paddy fields. The research develops a scenario simulation technique utilizing a coupled surface-groundwater model and a center of gravity offset model, enabling a quantitative analysis of the effects of various land use changes on groundwater levels across different scales. This methodology aids in decision-making to enhance groundwater resource efficiency and optimize water resource management. • Simulate the evolution of groundwater level under dramatic land use changes based on the coupled surface-groundwater model. • Construction of a hydrological scenario simulation model to quantitatively screen the impacts on groundwater levels. • Development of a center of gravity offset model to quantify the impact of different land use changes on groundwater levels.

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Publication Details

Journal
Journal of Hydrology Regional Studies
Published
2025-05-08
DOI
https://doi.org/10.1016/j.ejrh.2025.102452
Citations
1
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
0.82
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article

Quantitative study of the impact of land use change on groundwater level in the Songnen Plain, China

Zhiqiang Dong, Lei Guo-ping, Chaoqun Li, Lu Zhong et al.
1 citations
Journal of Hydrology Regional Studies
Hydrology and Watershed Management Studies
0.82
article

Quantitative study of the impact of land use change on groundwater level in the Songnen Plain, China

Zhiqiang Dong, Lei Guo-ping, Chaoqun Li, Lu Zhong, Jinliang Zhang, Dengming Yan, Quanlai Ma
article en
1 citations

Abstract

the Songnen Plain, China Groundwater, being a significant constituent of terrestrial water supplies, has consistently garnered considerable attention. In recent years, there have been significant oscillations in groundwater levels, mostly attributed to changes in the underlying surface. Nonetheless, there is a scarcity of investigations that effectively assess the influence of alterations in land use on the levels of groundwater. In this study, the MIKE SHE/MIKE 11 model is employed to simulate the process of groundwater level change in the Songnen Plain over a span of four decades. Scenario analysis is utilized to investigate the influence of climate change and human activities on groundwater level change. Additionally, the impact of various land use changes on groundwater level change is quantified using the center of gravity offset model. The study showcased the great simulation accuracy of the MIKE SHE/MIKE 11 model in simulating the groundwater level on the Songnen Plain. The correlation coefficient (R) between different stations exceeds 0.8, and the Nash efficiency coefficient (NSE) surpasses 0.75. Overall, climate change is the predominant factor responsible for changes in groundwater levels, constituting around 70–80 percent of the total impact. Nevertheless, the extent of its impact on groundwater levels is growing as human activities escalate. In areas with significant human activity, the main cause of changes in groundwater levels is linked to human activities, which account for around 65–75 percent of the observed variations. Regarding the influence of various land-use types on groundwater levels, the primary factors contributing to the decrease in groundwater levels are paddy fields and construction land. Construction land has a greater impact than paddy fields. The research develops a scenario simulation technique utilizing a coupled surface-groundwater model and a center of gravity offset model, enabling a quantitative analysis of the effects of various land use changes on groundwater levels across different scales. This methodology aids in decision-making to enhance groundwater resource efficiency and optimize water resource management. • Simulate the evolution of groundwater level under dramatic land use changes based on the coupled surface-groundwater model. • Construction of a hydrological scenario simulation model to quantitatively screen the impacts on groundwater levels. • Development of a center of gravity offset model to quantify the impact of different land use changes on groundwater levels.

Journal of Hydrology Regional StudiesVol. 59
Tongji University (CN), Henan Institute of Geological Survey (CN), Yellow River Institute of Hydraulic Research (CN), Northeastern University (CN)
Life in Land
Openalex Percentile: Top 27%
Hydrology and Watershed Management Studies
0.82
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