Title :
Research about Spatial Interpolation of Rainfall Aiming at Soil Erosion Evaluation
Author :
Xue Wan-rong ; Lu Zheng ; Xu Hui-Xi
Author_Institution :
Inst. of Eng. Surveying, Sichuan Coll. of Archit. Technol., Deyang, China
Abstract :
Rainfall is an important factor which causes soil erosion. Spatial interpolation is an effective way to extrapolate the unknown data according to rainfall data discrete observing point. This article selected data which were obtained from seven observing points near the Ertan Hydropower Station on the Yalong River in 1988.Fiver interpolation methods were used in this research, which were inverse distance weight tension (IDW), spline, kriging, field interpolation and trend surface analysis respectively. Cross-validation results showed that the spline method is the best interpolation method for rainfall data in this research area.
Keywords :
erosion; hydrological techniques; interpolation; rain; AD 1988; China; Ertan Hydropower Station; Yalong River; field interpolation; interpolation methods; inverse distance weight tension; kriging method; rainfall; rainfall data discrete observing point; soil erosion evaluation; spatial interpolation; spline method; trend surface analysis; Equations; Geographic Information Systems; Interpolation; Meteorology; Rivers; Soil; Spline;
Conference_Titel :
Internet Technology and Applications, 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5142-5
Electronic_ISBN :
978-1-4244-5143-2
DOI :
10.1109/ITAPP.2010.5566230