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Analyses of Runoff and Sediment Transport and their Drivers in a Rare Earth Mine Drainage Basin of the Yangtze River, China

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School of Resources and Environmental Engineering, Jiangxi University of Science and Technology, No. 86, Hongqi Avenue, Ganzhou 341000, China
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School of Architectural and Surveying & Mapping Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China
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Energy and Environment Directorate, Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA 99352, USA
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Géosciences Environnement Toulouse (GET), Université de Toulouse (CNRS, IRD, OMP), 14 Avenue Edouard Belin, 31400 Toulouse, France
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Geological Survey of Japan, AIST, Higashi 1-1-1, Tsukuba, Ibaraki 305-8567, Japan
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School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China
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School of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China
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Authors to whom correspondence should be addressed.
Water 2020, 12(8), 2283; https://doi.org/10.3390/w12082283
Received: 5 June 2020 / Revised: 10 August 2020 / Accepted: 10 August 2020 / Published: 13 August 2020
(This article belongs to the Section Water Resources Management, Policy and Governance)
A comprehensive analysis of the effects of major climate conditions such as El Nino Southern Oscillation (ENSO) and precipitation on changes in runoff and sediment transport in a basin may provide a scientific basis and technical support for regional water resource management and protection of the aquatic ecology. Taking the Taojiang River as an example, a large set of hydrogeographic data on runoff and sediment transport measured on a monthly basis from 1957 to 2015 was analyzed to study the impacts of various correlation factors on runoff and sediment transport in the river, which is located in the middle and lower reaches of the Yangtze River. Besides the conventional Mann–Kendall (M-K) method, cross-wavelet and wavelet coherence analysis methods were also applied in the data analysis. The results showed that: (1) From the M-K mutation tests conducted for the runoff volume and the sediment transport rate from 1957 to 2015, there were no significant changes in runoff. However, a mutation occurred in the sediment transport rate in 2005 and the average annual decrease reached 88.2237 million tons. (2) Precipitation was a dominant factor that controlled the changes in runoff volume and sediment transport rate. It directly influenced the changes in runoff volume, which subsequently caused the changes in sediment transport rate in the study area. Since the year 2005, sediment transport rates have been heavily influenced by the construction of large-scale hydro-power stations (Julongtan), causing a significant rate decline. A comparison between the sediment transport volume during 2005 to 2015 and that during 1980 to 2004 revealed that the annual sediment transport decrease reached 84.4079 million tons, accounting for 95.7% of the total decrease in sediment transport volume. (3) The significant resonance cycle between the sea surface temperature (SST) and the precipitation, runoff volume and sediment transport mainly occurred with a cyclic period between 1.33 and 5.33 years. During an ENSO event, the precipitation, runoff, and sediment transport rates all decreased at the beginning, then increased and reached their maximums, followed by a decline at the end. View Full-Text
Keywords: runoff and sediment transport; ENSO; drivers; the Yangtze River tributaries runoff and sediment transport; ENSO; drivers; the Yangtze River tributaries
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MDPI and ACS Style

Liu, Y.; Ding, Q.; Chen, M.; Zhong, L.; Labat, D.; Zhang, M.; Mao, Y.; Li, Y. Analyses of Runoff and Sediment Transport and their Drivers in a Rare Earth Mine Drainage Basin of the Yangtze River, China. Water 2020, 12, 2283. https://doi.org/10.3390/w12082283

AMA Style

Liu Y, Ding Q, Chen M, Zhong L, Labat D, Zhang M, Mao Y, Li Y. Analyses of Runoff and Sediment Transport and their Drivers in a Rare Earth Mine Drainage Basin of the Yangtze River, China. Water. 2020; 12(8):2283. https://doi.org/10.3390/w12082283

Chicago/Turabian Style

Liu, Youcun, Qianqian Ding, Ming Chen, Lirong Zhong, David Labat, Ming Zhang, Yimin Mao, and Yongtao Li. 2020. "Analyses of Runoff and Sediment Transport and their Drivers in a Rare Earth Mine Drainage Basin of the Yangtze River, China" Water 12, no. 8: 2283. https://doi.org/10.3390/w12082283

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