[1]MO Yueshuang,SUO Huiying,JIAO Shulin,et al.Comparison of Spatial Interpolation Methods of Precipitation-A Case of Karst Area in Guizhou Province[J].Research of Soil and Water Conservation,2021,28(01):164-172.
Copy
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
28
Number of periods:
2021 01
Page number:
164-172
Column:
Public date:
2021-01-10
- Title:
-
Comparison of Spatial Interpolation Methods of Precipitation-A Case of Karst Area in Guizhou Province
- Author(s):
-
MO Yueshuang, SUO Huiying, JIAO Shulin, ZHAO Zongquan,ZHANG Jie, ZHAO Meng, LIU Wei, LI Yinjiu
-
(School of Geography and Environmental Science, Guizhou Normal University, Guiyang 550025, China)
-
- Keywords:
-
karst mountains area; spatial interpolation; precipitation; Guizhou Province
- CLC:
-
P426
- DOI:
-
-
- Abstract:
-
Based on precipitation data from 17 meteorological stations located at Guizhou, China, we used four interpolation methods such as reverse distance weight(IDW), Ordinary Kriging(OK), Spline, and Trend to simulate and cross-validate the average monthly precipitation from 1960 to 2018, in which the application involved yearly, monthly, the highest 3-month, and the lowest 3-month time scale. The results showed that the interpolation accuracies on yearly, monthly, the highest 3-month, and the lowest 3-month decreased in the order: Spline>OK>Trend>IDW, the OK was the best approach since it had the highest accuracy on the lowest 3-month time step, however, the result of the IDW method was unsatisfactory; the values of MAE(Mean Absolute Error), MRE(Mean Absolute Error), and RMSE(Root Mean Square Error)on the monthly precipitation interpolation changed over seasons; RMSE and MAE in the autumn and winter were lower than those in the spring and summer, and MRE in the spring and autumn was higher than ones in other seasons; the error accuracies decreased in the order: IDW>Trend>Spline>OK; the result of OK method was good, but the effect of simulated precipitation became worse over the change of raising rainfall; the spatial distribution of the average yearly rainfall was of significant difference in Guizhou Province; overall, the spatial change of annual precipitation was decreasing from the south to the north, and the area of the annual highest rainfall took place in the southwest; the lowest rainfall happened in the Bijie region. The Spline method was used to interpolate the average annual precipitation and appeared a gradual smooth strip. The interpolation result of the Spline was accurate, and its spatial distribution was consistent with the actual rainfall situation through comparing with observations.