Rapid socio-economic development has precipitated substantial transformations in land use and land cover (LUCC) within the Yanhe River basin, significantly impacting production dynamics, confluence mechanisms, and the basin's runoff response processes. To elucidate the runoff response patterns under varying land use/land cover change conditions, this study analyzed the land use change characteristics from 1980 to 2020. Employed the SWAT (Soil and Water Assessment Tool) model, and simulated the precipitation-runoff dynamics under five distinct land use scenarios to scrutinize the basin's runoff response to varying land use conditions. The results demonstrated the applicability of the SWAT model to the Yanhe River basin, with R and Ens values for monthly runoff at two hydrological stations exceeding 0.6 during both calibration and validation periods. Between 1980 and 2020, the area of farmland decreased by 27.96%, whereas the areas of woodland and grassland by 36.59% and 16.2%, respectively. Scenario analysis revealed that the primary contributors to the increased runoff in the study area, in descending order, were grassland, farmland, and woodland. The results indicated that converting farmland to woodland would reduce the runoff depth by 0.26 mm, while converting farmland to grassland would increase the runoff depth by 0.39 mm in the watershed. The conversions exhibited pronounced seasonal effects, with varying degrees of runoff depth changes observed across different seasons. The contribution order of different hydrological years to runoff depth change rates was median flow year > low flow year > high flow year. Land use conversion, particularly among farmland, grassland, and woodland, exerts diversified impacts on runoff depth across different water periods.
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http://dx.doi.org/10.1016/j.jenvman.2025.124641 | DOI Listing |
Water Res
February 2025
State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, China. Electronic address:
Sci Rep
March 2025
Civil Engineering Department, School of Engineering, Monash University Malaysia, Jalan Lagoon Selatan, 47500, Bandar Sunway, Selangor, Malaysia.
The presence of vegetation in urban soil is both visually appealing and environmentally beneficial. Vegetation contributes to changes in soil water content (SWC) and soil suction (SS) through transpiration. These changes ultimately affect slope stability, soil erosion, runoff generation, and water infiltration.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
March 2025
Division of Environmental Engineering, Faculty of Engineering, Hokkaido University, North-13, West-8, Sapporo, 060-8628, Japan.
Urban rivers are essential for human activities and ecosystems. Urban runoff is a major source of various pollutants in urban rivers. In this study, we investigated the effect of rainfall and snowmelt subsequently causing urban runoff in a cold climate region on bacterial community structures and antimicrobial resistance gene concentrations in an urban river in Sapporo city, Japan, which has an average snowfall of 4.
View Article and Find Full Text PDFSci Total Environ
March 2025
Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI 48824, USA.
Climate change has altered precipitation events over past decades which impacted groundwater recharge in Michigan due to erratic rainfall, sandy soils, runoff fluctuations, seasonal and frozen ground in winter. Deep percolation (DP), critical factor for groundwater balance and hydrological processes, plays a significant role in groundwater sustainability and agricultural water management. Estimation of DP is challenging task and relies on different methods including soil moisture sensors that provides real-time soil water content measurements and weighing lysimeters which offers precise estimation under laboratory conditions.
View Article and Find Full Text PDFJ Environ Manage
March 2025
College of Water Conservancy Engineering, Tianjin Agricultural University, Tianjin, 300392, China. Electronic address:
Rapid socio-economic development has precipitated substantial transformations in land use and land cover (LUCC) within the Yanhe River basin, significantly impacting production dynamics, confluence mechanisms, and the basin's runoff response processes. To elucidate the runoff response patterns under varying land use/land cover change conditions, this study analyzed the land use change characteristics from 1980 to 2020. Employed the SWAT (Soil and Water Assessment Tool) model, and simulated the precipitation-runoff dynamics under five distinct land use scenarios to scrutinize the basin's runoff response to varying land use conditions.
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