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Water 2016, 8(6), 266; doi:10.3390/w8060266

Estimating Loess Plateau Average Annual Precipitation with Multiple Linear Regression Kriging and Geographically Weighted Regression Kriging

1,2,†
,
1,†
,
1,2,* and 3
1
School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
2
Beijing Datum Science and Technology Development Co., Ltd., Beijing 100084, China
3
College of Forestry, Beijing Forestry University, Beijing 100083, China
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Clelia Luisa Marti
Received: 12 April 2016 / Revised: 30 May 2016 / Accepted: 16 June 2016 / Published: 22 June 2016
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Abstract

Estimating the spatial distribution of precipitation is an important and challenging task in hydrology, climatology, ecology, and environmental science. In order to generate a highly accurate distribution map of average annual precipitation for the Loess Plateau in China, multiple linear regression Kriging (MLRK) and geographically weighted regression Kriging (GWRK) methods were employed using precipitation data from the period 1980–2010 from 435 meteorological stations. The predictors in regression Kriging were selected by stepwise regression analysis from many auxiliary environmental factors, such as elevation (DEM), normalized difference vegetation index (NDVI), solar radiation, slope, and aspect. All predictor distribution maps had a 500 m spatial resolution. Validation precipitation data from 130 hydrometeorological stations were used to assess the prediction accuracies of the MLRK and GWRK approaches. Results showed that both prediction maps with a 500 m spatial resolution interpolated by MLRK and GWRK had a high accuracy and captured detailed spatial distribution data; however, MLRK produced a lower prediction error and a higher variance explanation than GWRK, although the differences were small, in contrast to conclusions from similar studies. View Full-Text
Keywords: Loess Plateau; average annual precipitation; MLRK; GWRK; environmental factors Loess Plateau; average annual precipitation; MLRK; GWRK; environmental factors
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Jin, Q.; Zhang, J.; Shi, M.; Huang, J. Estimating Loess Plateau Average Annual Precipitation with Multiple Linear Regression Kriging and Geographically Weighted Regression Kriging. Water 2016, 8, 266.

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