Long-Term Reconstruction and Variation Characteristics of Water Temperature in Mainstream Yangtze River

WANG Sheng-hui

Journal of Changjiang River Scientific Research Institute ›› 2025, Vol. 42 ›› Issue (10) : 54-63.

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Journal of Changjiang River Scientific Research Institute ›› 2025, Vol. 42 ›› Issue (10) : 54-63. DOI: 10.11988/ckyyb.20240856
Water Enviroent And Water Ecology

Long-Term Reconstruction and Variation Characteristics of Water Temperature in Mainstream Yangtze River

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Abstract

[Objective] Due to climate change and human activities, water temperature in the Yangtze River basin is gradually increasing. Although the Hydrological Yearbooks accurately record water temperature data, the lack of long-term continuous observations and limited observation years make it difficult to precisely quantify and characterize long-term trends, posing potential challenges to the stability and health of its ecosystem. [Methods] This study innovatively combined measured water-temperature data from the Hydrological Yearbooks with ERA5-Land climate reanalysis data, employed the XGBoost machine-learning algorithm, and developed a water-temperature estimation model based on meteorological and hydrological variables to reconstruct daily water-temperature data for seven hydrological stations along the Yangtze River mainstream from 1980 to 2022. [Results] (1) At Zhutuo, Hankou, and Datong stations, the model RMSE and R2 values were 0.831-1.021 ℃ and 0.951-0.987, respectively. (2) From Zhutuo to Datong, the warming rate was 0.20-0.32 ℃ per decade. (3) At Yichang Station, the correlation between water temperature and water level reached R2=0.666. (4) Compared with 1980-1996, water temperature increased by 0.38-0.75 ℃ during 1997-2012 and continued to rise by 0.17-0.38 ℃ from 2013 to 2022. [Conclusions] (1) The XGBoost machine-learning model performs excellently and is robust in capturing river thermal dynamics. (2) Among the seven mainstream stations, those connected to lakes show the greatest warming. (3) Monthly-scale analysis indicates that water-temperature rise is synchronous with air temperature and surface downward long-wave radiation, while changes in water level lag behind. (4) Along-channel water-temperature changes in the last decade are more pronounced than in earlier periods.

Key words

water temperature / XGBoost model / sequence reconstruction / trend analysis / mainstream Yangtze River

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WANG Sheng-hui. Long-Term Reconstruction and Variation Characteristics of Water Temperature in Mainstream Yangtze River[J]. Journal of Changjiang River Scientific Research Institute. 2025, 42(10): 54-63 https://doi.org/10.11988/ckyyb.20240856

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Abstract
受气候变化、梯级水库运行及支流入汇等多重因素影响,长江攀枝花—宜昌江段水温的时空分布发生了显著变化,其必将对河流生态系统产生深远影响。选择干支流控制性水文站1956—2016年近61 a水温资料,采用归因分析和多尺度对比分析,研究了该江段水温的时空变异特性及沿程分布。结果表明:攀枝花—宜昌江段干流升温趋势明显,而支流岷江受气温变冷带影响,1956—1990年间水温持续下降1 ℃,其后逐渐回暖;年内水温极差逐年减小,减小幅度为0.38~1.46 ℃/(10 a),水温年内过程趋于平坦;梯级水库建设使屏山站和宜昌站下游河道春、夏季水温降低而秋、冬季水温升高,其中4月份与12月份的变化幅度较大,这2个站点在4月份和12月份的水温分别较蓄水前改变-2.6 ℃和4 ℃左右;沿程水温格局总体稳定,即干流攀枝花—屏山江段持续升温超2 ℃;低温、量大(流量占比50%以上)的岷江水入汇,使屏山—朱沱江段水温下降0.6 ℃;嘉陵江高温水与乌江低温水由于流量占比不大,对朱沱—宜昌江段水温影响亦不大。研究成果可为上游梯级水库开展生态调度及建立生态补偿机制等提供科学依据。
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