标题: Analysis of Factors Influencing the Lake Area on the Tibetan Plateau Using an Eigenvector Spatial Filtering Based Spatially Varying Coefficient Model

作者: Xiong, ZX (Xiong, Zhexin); Chen, YM (Chen, Yumin); Tan, HY (Tan, Huangyuan); Cheng, QS (Cheng, Qishan); Zhou, AN (Zhou, Annan)

来源出版物: REMOTE SENSING 卷: 13 期: 24 文献号: 5146 DOI: 10.3390/rs13245146 出版年: DEC 2021

摘要: Lakes on the Tibet Plateau (TP) have a significant impact on the water cycle and water balance, and it is important to monitor changes in lake area and identify the influencing factors. Existing research has failed to quantitatively identify the changes and influencing factors of lakes in different regions of the TP. Thus, an eigenvector spatial filtering based spatially varying coefficient (ESF-SVC) model was used to analyze the relationship between lake area and climatic and terrain factors in the inner watershed of the TP from 2000 to 2015. A comparison with ordinary regression and spatial models showed that the ESF-SVC model eliminates spatial autocorrelation and has the best model fit and complexity. The experiments demonstrated that precipitation, snow melt, and permafrost moisture release, as well as the area of vegetation and elevation difference in the watershed, can significantly promote the expansion of lakes, while evapotranspiration and days of mean daily temperature above zero have an inhibitory effect on lake area expansion. The degree of influence of each factor also differs significantly over time and across regions. Spatially quantitative modeling of lake area in the TP using the ESF-SVC method is a new attempt to provide novel ideas for lake research.

作者关键词: lake expansion; spatial heterogeneity; climate change; Tibetan Plateau

地址: [Xiong, Zhexin; Chen, Yumin; Tan, Huangyuan; Cheng, Qishan; Zhou, Annan] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

通讯作者地址: Chen, YM (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址: ymchen@whu.edu.cn

影响因子：4.848