Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR025316 |
Spatial-Temporal Variation of Lake Surface Water Temperature and Its Driving Factors in Yunnan-Guizhou Plateau | |
Yang, Kun1,3; Yu, Zhenyu1,2; Luo, Yi1,3; Zhou, Xiaolu4; Shang, Chunxue1 | |
2019-06-01 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
卷号 | 55期号:6页码:4688-4703 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
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. |
英文关键词 | lake surface water temperature plateau lake lake type climate warming urbanization K-Means clustering method |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000477616900011 |
WOS关键词 | CLIMATE-CHANGE ; STRATIFICATION ; RESPONSES ; RESERVOIR ; QUALITY ; REGIME ; BIASES ; RIVER |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/183965 |
专题 | 资源环境科学 |
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 |
推荐引用方式 GB/T 7714 | 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,2019,55(6):4688-4703. |
APA | Yang, Kun,Yu, Zhenyu,Luo, Yi,Zhou, Xiaolu,&Shang, Chunxue.(2019).Spatial-Temporal Variation of Lake Surface Water Temperature and Its Driving Factors in Yunnan-Guizhou Plateau.WATER RESOURCES RESEARCH,55(6),4688-4703. |
MLA | Yang, Kun,et al."Spatial-Temporal Variation of Lake Surface Water Temperature and Its Driving Factors in Yunnan-Guizhou Plateau".WATER RESOURCES RESEARCH 55.6(2019):4688-4703. |
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