Document Type

Article

Publication Date

2-1-2019

Abstract

The lower Jinsha River has the highest sediment yield rates of the entire Yangtze watershed; these high yields have previously been attributed to a mix of the local geologic setting as well as intensive human land use, particularly agriculture. Prior studies have not quantified long-term background rates of sediment generation, making it difficult to know if modern sediment yield is elevated relative to the long-term rate of sediment generation. Using in situ 10Be in detrital river sediments, we measured sediment generation rates for tributaries to the lower Jinsha River. We find that the ratio of modern sediment yield to long-term sediment generation rate is 5.9 ± 2.8 (mean, 1 SD, n = 5), which is significantly higher than that elsewhere in western China and implies contemporary rates of sediment export far exceed long-term rates of sediment generation by weathering on hillslopes (1.9 ± 1.6 [median, 1 SD, n = 20]; [Schmidt et al., 2017]). Long-term (thousand year) rates of sediment generation correlate best with the steepness of the upstream watershed, a result found around the world. In contrast, modern sediment yield and the ratio of sediment yield to sediment generation rates correlate best with agricultural land use and distance to the nearest dam. Modern (1950s–1980s) sediment yield and the ratio of sediment yield to sediment generation rate also correlate well with percent of the watershed containing landslides observable today. The significantly higher modern sediment yield, lack of correlation between percent of the basin with landslides and long-term rates of sediment generation, and widespread deforestation and agriculture in the region suggest that landslide scars observable today are at least in part a result of human-induced land use change. Thus, we conclude that a mix of geologic setting and human activity control high contemporary sediment yield rates in the region.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Rights Information

© 2018 Elsevier Ltd

DOI

10.1016/j.jseaes.2018.10.017

Link to Article at Publisher Website

Included in

Climate Commons

Share

COinS