Factors controlling specific sediment yield in the upper Indus River basin, northern Pakistan
✍ Scribed by Khawaja Faran Ali; Dirk H. de Boer
- Publisher
- John Wiley and Sons
- Year
- 2008
- Tongue
- English
- Weight
- 366 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0885-6087
- DOI
- 10.1002/hyp.6896
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✦ Synopsis
Estimates of sediment yield are essential in water resources analysis, modelling and engineering, in investigations of continental denudation rates, and in studies of drainage basin response to changes in climate and land use. The availability of high resolution, global environmental datasets offers an opportunity to examine the relationships between specific sediment yield (SY sp ) and drainage basin attributes in a geographical information system (GIS) environment. This study examines SY sp at 14 long-term gauging stations within the upper Indus River basin. Twenty-nine environmental variables were derived from global datasets, the majority with a 1 ð 1 km resolution. The SY sp ranges from 194 to 1302 t km 2 yr 1 for sub-basins ranging from 567 to 212 447 km 2 . The high degree of scatter in SY sp is greatly reduced when the stations are divided into three groups: upper, glacierized sub-basins; lower, monsoon sub-basins; and the main Indus River. Percentage snow/ice cover (LC s ) emerges as the single major land cover control for SY sp in the high mountainous upper Indus River basin. A regression model with percentage snow/ice cover (LC s ) as the single independent variable explains 73Ð4% of the variance in SY sp for the whole Indus basin. A combination of percentage snow/ice cover (LC s ), relief and climate variables explains 98Ð5% of the variance for the upper, glacierized sub-basins. For the lower monsoon region, a regression model with only mean annual precipitation (P) explains 99Ð4% of the variance. Along the main Indus River, a regression model including just basin relief (R) explains 92Ð4% of the variance in SY sp . Based on the R 2 adj and P-value statistics, the variables used are capable of explaining the majority of variance in the upper Indus River basin.