The Simulation Of Terrain Heat Resources In Zhejiang Province

Based on Geographic Information System (GIS) , the time and space distributions of heat resources over rugged terrains (RT) in Zhejiang province were simulated, with the combination of monthly mean meteorological routine observation at 70 sites in the province and some other cities around from 1951 to 2001 and 1:250, 000DEM data of Zhejiang. The monthly mean air temperature, accumulated temperature and its duration with different boundary temperature in 100m×100m resolution were mapped. The results provide reliable methods for the terrain heat resources study, and support basic data and scientific directions for the analysis and use of terrain climatic resources there.The major works of this paper were as follows:(1) The distribution model of terrain heat resources was established. After simulating the solar radiation distribution, a terrain heat calculation model was developed, including the information of topography, sky and air condition. In which, monthly mean temperature sub-model considered altitude, solar radiation, sunshine percentage and relative humidity as parameters, accumulated temperature and its duration were directly calculated using monthly mean temperature.(2) Zhejiang terrain heat resources measures were simulated and drawn in fine grids (100m×100m), including the distribution of annual and monthly mean temperature, the start and end dates, duration of≥0℃,≥5℃,≥10℃,≥15℃,≥20℃,≥22℃, and corresponding active and effective accumulative temperatures.(3) The analysis indicated that the simulation of terrain heat resources in Zhejiang reflects the macroscopic and local distribution characteristics. Monthly mean air temperature and accumulated temperatures with different boundary decrease with increasing altitude. They reduce with increasing slope in south slope and opposite in north. The temperature difference between north and south slopes is bigger in winter than in summer. The effect of slope direction on accumulated temperature is more obviously with bigger boundary temperature.The thesis is characterized by:(1) There is close correlation among those terrain heat resources distribution sub-models, in which, the parameters have clear physical meaning. The simulation is reasonable.(2) Fine grids simulation for RT heat resources was implemented, which is 100m×100m.(3) The model is not based on on-the-spot investigation, but the experimental statistic model of routine meteorological observation using GIS technology, which is easier for popularization. This is one of the most feasible methods for modeling terrain heat resources.