globalchange  > 过去全球变化的重建
DOI: 10.1029/2019WR025316
WOS记录号: WOS:000477616900011
论文题名:
Spatial-Temporal Variation of Lake Surface Water Temperature and Its Driving Factors in Yunnan-Guizhou Plateau
作者: Yang, Kun1,3; Yu, Zhenyu1,2; Luo, Yi1,3; Zhou, Xiaolu4; Shang, Chunxue1
通讯作者: Luo, Yi
刊名: WATER RESOURCES RESEARCH
ISSN: 0043-1397
EISSN: 1944-7973
出版年: 2019
卷: 55, 期:6, 页码:4688-4703
语种: 英语
英文关键词: lake surface water temperature ; plateau lake ; lake type ; climate warming ; urbanization ; K-Means clustering method
WOS关键词: CLIMATE-CHANGE ; STRATIFICATION ; RESPONSES ; RESERVOIR ; QUALITY ; REGIME ; BIASES ; RIVER
WOS学科分类: Environmental Sciences ; Limnology ; Water Resources
WOS研究方向: Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
英文摘要:

Lake surface water temperature (LSWT) is an important factor of water ecological environment. In the context of global warming, the LSWT of global lakes generally reveals an upward trend. With a continuous intensification of human activities and a rapid expansion of the impervious surface, urbanization has exerted an increasing impact on the environment, so the impact of human activities on LSWT cannot be ignored. Because of the special geographical location, the change of LSWT in plateau lakes has important impacts on climate diversity, biodiversity, and cultural diversity. As a result, it is critical to monitor and model the variation characteristics of LSWT in the plateau area. Based on the data set of natural factors representing climate change and human factors representing human activities, this study proposes a classification of lake types by K-Means clustering method. At watershed scale, 11 lakes in the study area are divided into three types: Natural Lake, Semi-urban Lake, and Urban Lake (UL). Based on this classification, the variation characteristics of LSWT for the eleven lakes from 2001 to 2017 are analyzed. The causal relationship and contribution of climate change and human activities to the rise of LSWT are discussed. Results show that (1) from 2001 to 2017, the annual mean of LSWT-day/night and near-surface air temperature in the 11 lakes show a warming trend, a significant correlation (R = 0.82, alpha = 0.0164 < 0.5) and a same periodicity, which indicates that near-surface air temperature is one of the main influencing factors of LSWT warming in Yunnan-Guizhou Plateau. (2) LSWT warming trend of UL is more obvious than those of Semi-urban Lake and Natural Lake, indicating that human activities have more significant impact on LSWT of UL. The main driving factors are the impervious surface expansion and population increase. (3) The influence of human activities on the LSWT in Yunnan-Guizhou Plateau is becoming more and more significant, and it is also the main factor in causing the deterioration of lake water environment in Yunnan-Guizhou Plateau.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/139118
Appears in Collections:过去全球变化的重建

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作者单位: 1.Yunnan Normal Univ, Minist Educ, GIS Technol Res Ctr Resource & Environm Western C, Kunming, Yunnan, Peoples R China
2.Yunnan Normal Univ, Sch Tourism & Geog Sci, Kunming, Yunnan, Peoples R China
3.Yunnan Normal Univ, Sch Informat Sci & Technol, Kunming, Yunnan, Peoples R China
4.Yunnan Normal Univ, Deans Off, Kunming, Yunnan, Peoples R China

Recommended Citation:
Yang, Kun,Yu, Zhenyu,Luo, Yi,et al. Spatial-Temporal Variation of Lake Surface Water Temperature and Its Driving Factors in Yunnan-Guizhou Plateau[J]. WATER RESOURCES RESEARCH,2019-01-01,55(6):4688-4703
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