华中师范大学学报（自然科学版）2018，Vol.52Issue(1)：122-129,8.DOI:10.19603/j.cnki.1000-1190.2018.01.020
复杂山地环境下气候要素的空间插值方法比较研究
Comparision study on meteorological spatial interpolation approaches in Kangdian region of China
摘要
Abstract
Spatial interpolation for climate data in mountainous regions with complex topography has always been a hot issue in the geographical information science.In this study,we used three interpolation methods including Inverse Distance Weight (IDW),Ordinary Kriging (OK) and Thin Plate Smoothing Spline (TPS) incorporated with elevation to interpolate monthly average temperature and precipitation data based on the meteorological stations in Kangdian region of China and digital elevation model at the spatial resolution of 1 km.Results showed that there was significant regional variations in the spatial distribution of temperature in Kangdian region while not in precipitation.TPS performed best for the spatial interpolation of temperature and precipitation in Kangdian region based on the statistics index of root mean squared error.It's concluded that TPS was more appropriately applied for mountainous regions with complex topography,compared to IDW and OK.关键词
空间插值/ANUSPLIN/康滇区/气温/降水/山地环境Key words
spatial interpolation/ANUSPLIN/Kangdian region/temperature/precipitation/mountain environment分类
天文与地球科学引用本文复制引用
徐翔,许瑶,孙青青,谢婷,张化永..复杂山地环境下气候要素的空间插值方法比较研究[J].华中师范大学学报（自然科学版）,2018,52(1):122-129,8.基金项目
国家水体污染控制与治理科技重大专项(2017ZX07101-002,2015ZX07203-011,2015ZX07204-007,2009ZX07210-009) （2017ZX07101-002,2015ZX07203-011,2015ZX07204-007,2009ZX07210-009）
中央高校基本科研业务费专项资金资助项目(2017MS065). （2017MS065）
