Regionalization of the SWAT+ model for projecting climate change impacts on sediment yield: An application in the Nile basin

被引:13
|
作者
Nkwasa, Albert [1 ]
Chawanda, Celray James [1 ]
van Griensven, Ann [1 ,2 ]
机构
[1] Vrije Univ Brussel VUB, Hydrol & Hydraul Engn Dept, B-1050 Brussels, Belgium
[2] IHE Delft Inst Water Educ, Water Sci & Engn Dept, NL-2611 AX Delft, Netherlands
基金
比利时弗兰德研究基金会; 欧盟地平线“2020”;
关键词
Soil erosion; Sediment yield; SWAT+; Regional modeling; Climate change; Nile basin; PREDICTING SOIL-EROSION; COVER-MANAGEMENT FACTOR; RIVER-BASIN; LAND-USE; SPATIAL-RESOLUTION; SURFACE RUNOFF; STREAM-FLOW; SCALE; WATER; DEM;
D O I
10.1016/j.ejrh.2022.101152
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Study region: Nile basin. Study focus: Several studies have shown a relationship between climate change and changes in sediment yield. However, there are limited modeling applications that study this relationship at regional scales mainly due to data availability and computational cost. This study proposes a methodological framework using the SWAT+ model to predict and project sediment yield at a regional scale in data-scarce regions using global datasets. We implement a framework that (a) incorporates topographic factors from high/medium resolution DEMs (b) incorporates crop phenology data (c) introduces an areal threshold to linearize sediment yield in large model units and (d) apply a hydrological mass balance calibration. We test this methodology in the Nile Basin using a model application with (revised) and without (default) the framework under historical and future climate projections. New hydrological insights for the region: Results show improved sediment yield estimates in the revised model, both in absolute values and spatial distribution when compared to measured and reported estimates. The contemporary long term (1989 - 2019) annual mean sediment yield in the revised model was 1.79 t ha-1 yr(- 1) and projected to increase by 61 % (44 % more than the default estimates) in te future period (2071 - 2100), with the greatest sediment yield increase in the eastern part of the basin. Thus, the proposed framework improves and influences modeled and predicted sediment yield respectively.
引用
收藏
页数:16
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