Calculation and Analysis of the Distribution Characteristics of Groundwater Resources in the Middle Reaches of the Mudanjiang River Basin in China Based on SWAT Model and InVEST Model
Source abstract
Abstract
The Integrated Valuation of Ecosystem Services and Trade-Offs (InVEST) model with the distributed hydrological model Soil and Water Assessment Tool (SWAT) were implemented. The SWAT model quantifies and visualizes water production and groundwater reserves in the Mudanjiang River Basin, employing the groundwater runoff modulus method to calculate groundwater recharge in the basin. This study aims to assess the model’s applicability in cold basins and subsequently analyze groundwater distribution characteristics, water reserves, and the exploitable volume. It serves as a reference for the judicious allocation of groundwater resources and the preservation of the local aquatic ecosystem. The study indicates the following: (1) Utilizing the monthly runoff data from the Mudan River hydrologic station, SWAT simulation and calibration were conducted, yielding a determination coefficient (R2) of 0.75 and a Nash–Sutcliffe efficiency coefficient (NS) of 0.77, thereby satisfying fundamental scientific research criteria. The water yield predicted by the InVEST model aligns closely with the water resources bulletin of the research region. (2) The data from the water production module of the InVEST model indicate that the average annual water production during the research period was 6.725 billion m3, with an average annual water production depth of 148 mm. In 2018, characterized by ample water supply, the water output was at its peak, with a depth of 242 mm. In 2014, the water depth recorded was merely 16 mm. (3) Throughout the study period, the average annual flow of the Mudan River was 4.2 billion m3, whereas the groundwater reserve was 24.13 (108 m3·a−1). In 2013, the maximum groundwater reserve was 38.42 (108 m3·a−1), while the minimum reserve in 2014 was 2.36 (108 m3·a−1), suggesting that the region was predominantly experiencing sustainable exploitation. (4) The mean groundwater runoff modulus is 0.28 L/(s·km2), with a peak annual recharge of 15.4 (108 m3·a−1) in 2013 and a lowest recharge of just 3.2 (108 m3·a−1) in 2011.
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Research context
OpenAlex topics: Hydrology and Watershed Management Studies · Hydrological Forecasting Using AI · Environmental and Agricultural Sciences
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Affiliations
School of Hydraulic and Electric Power, Heilongjiang University, Harbin 150080, China
Institute of Groundwater Cold Region, Heilongjiang University, Harbin 150080, China
International Joint Laboratory of Hydrology and Hydraulic Engineering in Cold Regions of Heilongjiang Province, Harbin 150080, China
Funding
Demonstration of Optimal Matching and Regulation Technology of Soil and Water Resources in Sanjiang Plain
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