Sediment Yields of Small Catchments in Hilly Sichuan Basin Calculated by Pond and Reservoir Deposits---A Case Study in the Liuxi River Basin of Nanchong City

FU Jie-xiong; HE Xiu-bin; WEN An-bang; QI Yong-qing; ZHANG Xin-bao

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Sediment Yields of Small Catchments in Hilly Sichuan Basin Calculated by Pond and Reservoir Deposits---A Case Study in the Liuxi River Basin of Nanchong City

- Sediment Yields of Small Catchments in Hilly Sichuan Basin Calculated by Pond and Reservoir Deposits---A Case Study in the Liuxi River Basin of Nanchong City
- Bulletin of Soiland Water Conservation Vol. 24, Issue 4, Pages: 49-52(2005)
- 作者机构：
  
  1. 中国科学院水利部成都山地灾害与环境研究所,四川,成都,610041
  2. 中国科学院研究生院,北京,100039
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2005
- 稿件说明：
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FU Jie-xiong, HE Xiu-bin, WEN An-bang, et al. Sediment Yields of Small Catchments in Hilly Sichuan Basin Calculated by Pond and Reservoir Deposits---A Case Study in the Liuxi River Basin of Nanchong City[J]. Bulletin of Soiland Water Conservation, 2005, 24(4): 49-52.
DOI：

FU Jie-xiong, HE Xiu-bin, WEN An-bang, et al. Sediment Yields of Small Catchments in Hilly Sichuan Basin Calculated by Pond and Reservoir Deposits---A Case Study in the Liuxi River Basin of Nanchong City[J]. Bulletin of Soiland Water Conservation, 2005, 24(4): 49-52. DOI：

摘要

报道了川中丘陵区小流域产沙塘库沉积研究的初步结果。研究表明

南充流溪河流域内平均小流域淤沙模数762t/(km

.a)

淤沙模数随流域面积增大而减少的趋势不明显

小流域泥沙输移比显然远高于前人报道的0.10~0.27

土壤侵蚀速率远低于全国第2次遥感普查值3000~5000t/(km

.a)。

Abstract

A preliminary study on sediment yields of small catchments is conducted by using pond and reservoir deposits in the Liuxi river basin of Nanchong City

in the Hilly Sichuan Basin.The average specific sediment yield of small catchments over the basin is 762t/(km2a)

and the tendency of sediment yield increase with the catchment area increase is not apparent.However

the sediment delivery ratio in the basin should be much higher than the previously reported values of 0.10～0.27

and the soil erosion rate should be much less than the values of 3000～5000t/(km2·a) reported by the second state survey using the remote sensing method.

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