International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 123 | Views: 189

Research Paper | Environmental Science Studies | China | Volume 2 Issue 8, August 2013 | Rating: 6.8 / 10

Comparison of Spatial Interpolation Methods for Precipitation in Ningxia, China

Wu Hao [2] | Xu Chang [2]

Abstract: As basic data, the reliability of precipitation data makes a significant impact on many results of environmental applications. In order to obtain spatially distributed precipitation data, measured points are interpolated. There are many spatial interpolation schemes, but none of them can perform best in all cases. So criteria of precision evaluation are established. This study aims to find an optimal interpolation scheme for rainfall in Ningxia. The study area is located in northwest China. Meteorological stations distribute at a low density here. Six interpolation methods have been tested after exploring data. Cross-validation was used as the criterion to evaluate the accuracy of various methods. The best results were obtained by cokriging with elevation as the second variable, while the inverse distance weighting (IDW) preform worst. Three types of model in cokriging were compared, and Gaussian model is the best.

Keywords: precipitation, rainfall, interpolation, cross-validation, kriging, IDW

Edition: Volume 2 Issue 8, August 2013,

Pages: 181 - 184

How to Download this Article?

Type Your Valid Email Address below to Receive the Article PDF Link

Verification Code will appear in 2 Seconds ... Wait