Sponsor
This work was supported financially by the National Natural Science Foundation of China (91647207), the National Natural Science Foundation of China (51709096), the National Natural Science Foundation of China (51879099), the Natural Science and Technology Major Special Program of China (2016YFC0402204) and the Natural Science and Technology Major Special Program of China (2016YFC0401702). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Published In
PeerJ
Document Type
Article
Publication Date
2019
Subjects
Information Management -- Analysis Water, Resources -- Analysis, Rivers -- Analysis, Numerical Analysis -- Analysis
Abstract
Xiangxi River is a typical tributary of Three Gorges Reservoir (TGR) in China. Based on field observations in 2010, thermal stratification was significant in most months of the year. Through field data analysis and numerical simulations, the seasonal and spatial variation of thermal stratification as related to the impact of the operation of TGR were investigated. Thermal stratification was most pronounced from April to September in the Xiangxi River tributary. Air temperature (AT) and water level (WL) were the two dominant variables impacting thermal stratification. AT affected the surface water temperature promoting the formation of thermal stratification, and high WLs in TGR deepened the thermocline depth and thermocline bottom depth. These results provide a preliminary description of the seasonal variation and spatial distribution of thermal stratification, which is important for better understanding how thermal stratification affects algae blooms in Xiangxi River.
Locate the Document
DOI
10.7717/peerj.6925
Persistent Identifier
https://archives.pdx.edu/ds/psu/28783
Citation Details
Jin, J., Wells, S. A., Liu, D., Yang, G., Zhu, S., Ma, J., & Yang, Z. (2019). Effects of water level fluctuation on thermal stratification in a typical tributary bay of Three Gorges Reservoir, China. PeerJ, 7, e6925.
Description
Copyright 2019 Jin et al. Distributed under Creative Commons CC-BY 4.0