• 黄河流域城市高质量发展专栏 •

### 区域气候变化下洞里萨湖表面水温时空变化的归因

1. 1.云南师范大学地理学部，云南 昆明 650500
2.西部资源环境地理信息技术教育部工程研究中心，云南 昆明 650500
• 收稿日期:2021-06-12 修回日期:2021-10-01 出版日期:2022-04-10 发布日期:2022-06-07
• 通讯作者: 杨昆 E-mail:pme123@126.com;kmdcynu@163.com
• 作者简介:潘梅娥（1986-），女，云南曲靖人，讲师，博士研究生，主要从事水环境遥感监测与评价。E-mail: pme123@126.com
• 基金资助:
国家863计划(2012AA121402);国家自然科学基金项目(41761084)

### Determining Factors in Spatio-temporal Variation of the Tonle Sap Lake’s Surface Water Temperature Under Regional Climate Change

Pan Meie1,2(), Yang Kun1,2,*(), Zou Tianle1, Sun Run1, Zhang Xihua1, Zhang Yu1

1. 1. Faculty of Geograghy, Yunnan Normal University, Kunming 650500, Yunnan, China
2. The Engineering Research Center of GIS Technology in Western China, Ministry of Education, Kunming 650500, Yunnan, China
• Received:2021-06-12 Revised:2021-10-01 Online:2022-04-10 Published:2022-06-07
• Contact: Yang Kun E-mail:pme123@126.com;kmdcynu@163.com
• Supported by:
China High Technology Research and Development Program 863(2012AA121402);National Natural Science Foundation of China(41761084)

Abstract:

Lake surface water temperature (LSWT) is an important factor affecting the aquatic ecosystem. This study aimed to reveal the influence of regional climate change on the surface water temperature of Tonle Sap Lake. For this purpose, based on the datasets of the Tonle Sap Lake’s daytime surface water temperature (LSWTday), near-surface atmospheric temperature (AT), solar radiation (SR), surface pressure (SP), total precipitation (TP), relative humidity (RH), wind speed (WS), total cloud cover (TCC) and water level (WL) from 2001 to 2019, the temporal-spatial distribution and variation characteristics of LSWTday and climate factors were studied by trend analysis, stability analysis, persistence analysis and mutation analysis. Then, through correlation analysis, regression analysis and Z-score standardization method, the impact of climate factors on LSWTday was clarified. Results showed that: 1) At the time scale, the Tonle Sap Lake region climate was characterized by a significant increase in AT, WS and TCC, and a significant decrease in WL. The average warming rate of LSWTday was 0.372℃/10a, and showed a continuous warming trend. LSWTday had time consistency with the abrupt change point of climatic factors. At the spatial scale, the spatial distribution and change trend of LSWTday and climate factors had obvious spatial heterogeneity. Among them, except for the slight cooling trend in the western lake area, the LSWTday of other lake areas showed an obvious warming trend. Among climatic factors, the distribution of the rate of change of AT, SP, TP, TCC, and RH was roughly high values in the south and low values in the north, while the distribution of change rates of SR and WS was low in the south and high in the north. 2) In different time scales, the factors driving LSWTday change were different. On the average annual scale, LSWTday was mainly driven by AT, WS and WL. At the monthly mean scale, the change of AT was still the main driving factor of LSWTday. At the seasonal scale, the increase of TP, WL and TCC was the main reason for the cooling of LSWTday in spring and summer, RH was the main influencing factor for the fluctuation of LSWTday in autumn, and LSWTday was warming in winter along with the warming of AT.

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