%0 Journal Article %A Zhiying LI %A Haiyan FANG %T Simulation of runoff, soil erosion, and sediment yield using the TETIS model in the Wuyuer River Basin of the black soil region, Northeast China %D 2017 %R 10.18306/dlkxjz.2017.07.009 %J PROGRESS IN GEOGRAPHY %P 873-885 %V 36 %N 7 %X

In order to understand the characteristics of soil erosion in a basin and explore the applicability of the TETIS model for simulating runoff and sediment yield in the black soil region of Northeast China, the Wuyuer River Basin was taken as an example in this study. Daily runoff and sediment discharge data series from 1971 to 1987 were used to calibrate and validate the TETIS model. On this basis, characteristics of soil erosion intensity and their relationships with slope and land use types in the basin were analyzed. The results show that the TETIS model has good applicability in the Wuyuer River Basin. Nash-Sutcliffe efficiency coefficients of daily discharge and sediment ranged from 0.52 to 0.70, coefficients of determination ranged from 0.60 to 0.71, and volume errors were no more than 15%. Average soil erosion intensity was 397.2 t/(km2·a) in the basin. Slight erosion and light erosion were the dominant soil erosion types and about 90% of sediment yield was from hillslope. Average erosion intensity increased with increasing slope gradients. Slopes of 0°~5° were the main erosion area in the basin. Different land use types have different soil erosion intensities and arable land has the highest value (556.3 t/(km2·a)). Priority of erosion control should focus on the arable lands with steep slopes and low vegetation covered regions. Comparison of these simulation results with other study results in the black soil region of Northeast China demonstrates a promising future of the TETIS model for simulating runoff and sediment yields in the region. This study may provide a scientific basis for the implementation of soil and water conservation measures in the study area.

%U https://www.progressingeography.com/EN/10.18306/dlkxjz.2017.07.009