%0 Journal Article
%T Total Solar Radiation Spatialization in Mountainous Region based on DEM and Climatological Calculation<br>基于DEM模型和气候学计算的滇南山区太阳总辐射空间化
%A HAO Chengyuan
%A XV Chuanyang
%A WU Shaohong
%A <br>郝成元
%A 许传阳
%A 吴绍洪
%J 资源科学
%D 2009
%I 
%X Different temperature, precipitation and solar radiation, resulted from different regional landform and elevation, are the main factors of regional differences. Total solar radiation is the major energy source of earth surface processes, including physical, chemical and biological processes, and also a basic parameter to understand or explain the changes of land surface patterns. In this research, we build a multi-year average model for annual total solar radiation spatialization from 1961 to 2000 by using two main climatological calculation models, Angstrom model and Bristow-Campbell model, at the same time. It has been realized through two processes, including both the spatialization of potential solar radiation and the climatological calculations of solar radiation between different models, and has successfully resolved the spatialization of monthly total solar radiation databases with an area of 250m ×250m in southern Yunnan Province, regarding DEM, monthly differences of minimum and maximum temperatures, latitude, declination, and monthly average sunshine percentage as the basic data. More importantly, we find the simulation result quite good by contrasting land-ground measurement data and simulated grid data. Solar radiation error rates of each month are 3.69% on average, far below 10%. Meanwhile, this applicable spatialization mode of total solar radiation in southwest of China can be used in other regions for reference, especially in mountainous areas. In the application of this model, two aspects can influence error ratio. The first one is how to decide the parameter value of surface vegetation reflectance in different months because there is an obvious seasonal change of vegetation cover throughout a year. It may be the main source of error in this model and is one of the key problems to be resolved in the next step of our research. The second one is how to improve the DEM spatial resolution. The error ratios may be much lower if the spatial resolution of 250m × 250m in this study can be improve to 100m × 100m or 25m × 25m since the largest surface characteristics of the mountainous region is the complicated terrain.
%K Southern Yunnan Province
%K Digital Elevation Model
%K Climatological calculation
%K Total solar radiation
%K Spatialization<br>滇南地区
%K DEM
%K 气候学计算
%K 太阳总辐射
%K 空间化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=B5EDD921F3D863E289B22F36E70174A7007B5F5E43D63598017D41BB67247657&cid=B47B31F6349F979B&jid=9DEEAF23637E6E9539AD99BE6ABAB2B3&aid=D0BC9359366CEC22CAB43F616C6E07F3&yid=DE12191FBD62783C&vid=4AD960B5AD2D111A&iid=B31275AF3241DB2D&sid=D7513DBF373F2B6C&eid=C7A7E1E32985D389&journal_id=1007-7588&journal_name=资源科学&referenced_num=1&reference_num=33