中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spatial distribution of snow depth based on geographically weighted regression kriging in the Bayanbulak Basin of the Tianshan Mountains, China

文献类型:期刊论文

作者LIU Yang; LI Lan-hai; CHEN Xi; YANG Jin-Ming; HAO Jian-Sheng
刊名Journal of Mountain Science
出版日期2018-01
卷号15期号:1页码:33-45
关键词Snow Depth Spatial Distribution Regression Kriging Geographically Weighted Regression Kriging
ISSN号1672-6316
DOI10.1007/s11629-017-4564-z
通讯作者CHEN Xi
英文摘要Snow depth is a general input variable in many models of agriculture, hydrology, climate and ecology. This study makes use of observational data of snow depth and explanatory variables to compare the accuracy and effect of geographically weighted regression kriging (GWRK) and regression kriging (RK) in a spatial interpolation of regional snow depth. The auxiliary variables are analyzed using correlation coefficients and the variance inflation factor (VIF). Three variables, Height, topographic ruggedness index (TRI), and land surface temperature (LST) , are used as explanatory variables to establish a regression model for snow depth. The estimated spatial distribution of snow depth in the Bayanbulak Basin of the Tianshan Mountains in China with a spatial resolution of 1 km is obtained. The results indicate that 1) the result of GWRK's accuracy is slightly higher than that of RK (R2 = 0.55 vs. R2 = 0.50, RMSE (root mean square error) = 0.102 m vs. RMSE = 0.077 m); 2) for the subareas, GWRK and RK exhibit similar estimation results of snow depth. Areas in the Bayanbulak Basin with a snow depth greater than 0.15 m are mainly distributed in an elevation range of 2632.00–3269.00 m and the snow in this area comprises 45.00–46.00% of the total amount of snow in this basin. However, the GWRK resulted in more detailed information on snow depth distribution than the RK. The final conclusion is that GWRK is better suited for estimating regional snow depth distribution.
语种英语
源URL[http://ir.imde.ac.cn/handle/131551/20780]  
专题Journal of Mountain Science _Journal of Mountain Science-2018_Vol15 No.1
推荐引用方式
GB/T 7714
LIU Yang,LI Lan-hai,CHEN Xi,et al. Spatial distribution of snow depth based on geographically weighted regression kriging in the Bayanbulak Basin of the Tianshan Mountains, China[J]. Journal of Mountain Science,2018,15(1):33-45.
APA LIU Yang,LI Lan-hai,CHEN Xi,YANG Jin-Ming,&HAO Jian-Sheng.(2018).Spatial distribution of snow depth based on geographically weighted regression kriging in the Bayanbulak Basin of the Tianshan Mountains, China.Journal of Mountain Science,15(1),33-45.
MLA LIU Yang,et al."Spatial distribution of snow depth based on geographically weighted regression kriging in the Bayanbulak Basin of the Tianshan Mountains, China".Journal of Mountain Science 15.1(2018):33-45.

入库方式: OAI收割

来源:成都山地灾害与环境研究所

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