Regionalization and Integrated Assessment of Climate Resource in China based on GIS
According to the data during the period of 1973 to 2002 from 734 key meteorological stations in China, annual mean temperature, accumulated temperature over 10℃, aridity index, precipitation and precipitation variability obtained. China was divided into 4 ~ 7 Climate sub-areas by means of cluster analysis. In each sub-area, the method of "multiple regression model + Inverse Distance Weighting (IDW) residuals" was used to interpolate meteorological data, and climate thematic maps with a spatial resolution of 1km were produced. With the method of Analysis Hierarchy Process (AHP), the model of integrated climate assessment in China was established with 4 sub-areas. The results show that, the annual mean temperature and accumulated temperature over 10℃ gradually decrease from the south to the north, and the annual mean temperature in south is 30℃ higher than that in north; the value of aridity index and precipitation variability show the increasing trend from the southeast to the northwest, and precipitation gradually decrease from the southeast coast to the northwest inland. The average value of integrated climate assessment in China is 4.37, the meteorological condition gradually becomes more atrocious from the southeast to the northwest. Among all the climate sub-areas, the climate condition in the Ⅰ sub-area is the best where climate grade is above 6; climate grade is between 4 and 5 in the Ⅱ sub-area which is little lower than that in the Ⅰ sub-area; climate grade in the Ⅲ sub-area is ranged between 2 and 3, where the climate condition is rather atrocious; climate grade in the Ⅳ sub-area varies from 1 to 5, where climate condition changes much from the southeast to the northwest: climate grade in the southeast is between 3 and 5, where the climate condition is rather good, while climate grade in the northwest is between 1 and 3, where the climate condition is rather atrocious. Spatial data can be quantitatively expressed with gridded meteorological data. Integrated analysis and assessment of multiple-factors can be realized with superposition of gridded meteorological data, soil data, vegetation data and other spatial data. The integrated climate assessment is the base of eco-environment assessment, it also can offer the basic data and study platform for developing of ecology, geography, resource and environment, etc.
NETL
NSTL
万方数据
维普
