Eco-environmental impacts of dams in the Yangtze River Basin, China

Boyan Li; Nengcheng Chen; Wei Wang; Chao Wang; R J P Schmitt; Anwen Lin; Gretchen C Daily

doi:10.1016/j.scitotenv.2021.145743

Eco-environmental impacts of dams in the Yangtze River Basin, China

Sci Total Environ. 2021 Jun 20:774:145743. doi: 10.1016/j.scitotenv.2021.145743. Epub 2021 Feb 10.

Authors

Boyan Li¹, Nengcheng Chen², Wei Wang², Chao Wang², R J P Schmitt³, Anwen Lin⁴, Gretchen C Daily³

Affiliations

¹ State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing(LIESMARS), Wuhan University, Wuhan 430079, PR China; Stanford Woods Institute for the Environment, Stanford University, Stanford, CA 94305, USA; Natural Capital Project, Stanford University, Stanford, CA 94305, USA. Electronic address: liboyan@whu.edu.cn.
² State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing(LIESMARS), Wuhan University, Wuhan 430079, PR China.
³ Stanford Woods Institute for the Environment, Stanford University, Stanford, CA 94305, USA; Natural Capital Project, Stanford University, Stanford, CA 94305, USA.
⁴ School of Resources and Environmental Sciences, Wuhan University, Wuhan 430079, P.R. China.

PMID: 33609848
DOI: 10.1016/j.scitotenv.2021.145743

Abstract

Nearly half large dams of China have been built in the Yangtze River Basin (YRB) and the eco-environmental impacts of existing dams remain elusive. Here we present a spatio-temporal approach to measuring the eco-environmental impacts of dams and its long-term changes. We also develop a new metric, the dam eco-environmental effect index (DEEI), that quickly identifies the eco-environmental impacts on dams over 36 years. Underlying the analysis are the revised universal soil loss equation (RUSLE), the generalized boosted regression modeling (GBM), the generalized linear model (GLM), stepwise multiple regression, trend analysis, soil erosion and sediment yield balance equation, and sample entropy used to identify the eco-environmental impacts of dams on yearly timescales. We find that the accumulated negative environmental effects of constructed dams have increased significantly and has led to large-scale hydrophysical and human health risk affecting the Yangtze River Basins downstream (i.e. Jianghan-Lushui-Northeastern Hubei, Dongting Lake District, Yichang-Jianli, and Qingjiang) and reservoir areas (i.e. Wanxian-Miaohe, Miaohe-Huanglingmiao, and Huanglingmiao-Yichang). We also provide observational evidence that dam construction has reduced the complexity of short-term (1-12 months) in runoff and sediment loads. This spatial pattern seems to reflect a filtering effect of the dams on the temporal and spatial patterns of runoff and sediment. Three Gorges Dam (TGD) has a significant impact on the complexity of the runoff and sediment loads in the mainstream of the Yangtze River. This enhanced impact is attributed to the high trapping efficiency of the dam and its associated large reservoir. This assessment may underestimate the cumulative effect of the dam because it does not consider the future effects of the planned dam. Our study provides a quantitative methodology for finding the relative change rate of eco-environmental impact on dams, which is the first step towards addressing the extent, process, and magnitude of the dam-induced effects.

Keywords: Dam eco-environmental effect index; Dams; Sample entropy; Yangtze River Basin.