Abstract

The human activities and urbanization process have changed the underlying surface of urban areas, which would affect the recharge of groundwater through rainfall infiltration and may further influence the groundwater environment. Accordingly, it is imperative to investigate the variation of hydrological cycle under the condition of underlying surface change. Based on the high-precision remote sensing data of 2000, 2005, 2010 and 2015, and Soil and Water Assessment Tool (SWAT) model, this work firstly studied the land use change and the corresponding changes in runoff generation mechanism and rainfall infiltration coefficient in Su-Mi-Huai area, Beijing, China. Meanwhile, SWAT-MODFLOW semi-loose coupling model was applied to analyze the water balance in the study area in typical hydrological years. The results showed that the area of the construction land (urban and rural residential land) increased by 1.04 times from 2000 to 2015, which is mainly attributed to the conversion of cultivated land to construction land in the plain area. This change caused the runoff in the area to increase by 7 × 106 m3, the runoff coefficient increased by 17.9%, and the precipitation infiltration coefficient was less than the empirical value determined by lithology. Compared with 2000, the average annual precipitation infiltration coefficient in 2018 decreased by 6.5%. Under the influence of urbanization process, the maximum reduction rate of precipitation infiltration recharge is up to 38%. The study investigated the response of surface runoff and precipitation infiltration recharge to land use change, which can provide helps for water resources managers to coordinate the relationship between land use change and rational water resources planning.

Highlights

  • Groundwater is an extremely precious natural resource

  • In order to evaluate the influence of underlying surface change on the hydrological cycle, we established by MODFLOW and Soil and Water Assessment Tool (SWAT), and the results of this model were used to compare the influence firstly analyzed the land use change in different periods of the study area, the Su-Mi-Huai District in of the Beijing, water balance inused the study area before andthe after land use changes surface in typical years

  • The SuZhuang station is located at the downstream outlet of the basin, which can reflect the runoff from the entire watershed to the outlet

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Summary

Introduction

Groundwater is an extremely precious natural resource. It plays a key role in the hydrologic cycle, ecological and geological environment as well as economic and social development [1,2]. Zhang et al [22] applied the improved SWAT model to simulate the impact of different land use changes on water balance in the North Johnston River catchment in eastern Australia, showing that urbanization will increase surface runoff. In order to evaluate the influence of underlying surface change on the hydrological cycle, we firstly rainfall coefficient rainfallperiods infiltration recharge, as to planDistrict the analyzed the infiltration land use change in and different of the study so area, thereasonably. In order to evaluate the influence of underlying surface change on the hydrological cycle, we established by MODFLOW and SWAT, and the results of this model were used to compare the influence firstly analyzed the land use change in different periods of the study area, the Su-Mi-Huai District in of the Beijing, water balance inused the study area before andthe after land use changes surface in typical years. Used to compare the situation and theby rational planning water resources in areas rapid influence of the water balance in the study area before and after land use changes in typical years

Study Area
SWAT Model
Method
SWAT-MODFLOW Coupling
Model Calibration and Validation
Precipitation
The Results of Model Calibration and Validation
Analysis on Land Use Change
InfluenceTable of Underlying
Influence of Land Use Change on Precipitation Infiltration Coefficient
Runoff Generation
Analysis of Water Balance in Typical Years
Analysis of Water Balance900–1000 in Typical Years 2
Conclusions

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