Abstract:

There is complex terrain in the Yangtze River basin.In order to explore the best suitable method for monthly temperature data spatial interpolation，we used the monthly temperature data which was gained from stations of the Yangtze River basin in 2007 for spatial interpolation experiment，and considered the altitude,latitude and longitude,slope,aspect effects on the temperature.We used monthly temperature of 151 stations in the basin of 2007,and did regression analysis between the site topography and temperature.Intercept of the regression line with the sum of the return generated temperature value of the grid.Meanwhile,the residual of polynomial regression were used by antidistance weighting (IDW),Ordinary Kriging (OK) and the spline function method (SPLINE) spatial interpolation.Then return to the grid of the interpolated temperature value and the results added to get the residuals of the monthly temperature.The results showed that better simulation would be achieved if topography were taken into consideration. MAE and RMSE by OK decreased from 103℃ to 060℃ and from 238℃ to 123℃,respectively;for IDW,from 110℃ to 065 ℃ and from 248℃ to 138℃,respectively;for SPLINE,from 124℃ to 07℃ and from 166℃ to 151℃,respectively.It revealed OK gave the best simulation which take topography into consideration