Distributed simulation of astronomical solar radiation over rugged terrains in the Guizhou Plateau

Wenhui Wu; Shujie Yuan; Xiaoping Gu; Xinfa Qiu

doi:10.1117/12.746359

14 November 2007 Distributed simulation of astronomical solar radiation over rugged terrains in the Guizhou Plateau

Wenhui Wu, Shujie Yuan, Xiaoping Gu, Xinfa Qiu

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67900O (2007) https://doi.org/10.1117/12.746359
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

The astronomical solar radiation (ASR) over rugged terrains (RT) is closely associated with local landform besides the effect of season and latitude. The influence of slope, aspect and terrain inter-shielding on ASR is analyzed over RT. Based on digital elevation model (DEM), a distributed model for calculating ASR over RT is developed. Using this model, the ASR with a resolution of 100m×100m in the Guizhou Plateau is generated. The results are as follows. (1) The ASR has obvious terrain distributing feature over RT. (2) The annual average ASR varies spatially 481.7~13041.8 MJm^-2 over RT. The average ASR varies spatially 0.0~1244.7 MJm^-2 and 0.0~1264.8 MJm^-2 in January and July over RT, respectively. (3) The influence of the local topographic factors on spatial distribution of the ASR varies with season and latitude. Although the solar altitude angle is lower in January than in July, which causes more inter-shielding by the RT in January, the ASR is much stronger in July than in January; the absolute difference in ASR between HS and RT is larger in July. Therefore, the effect of local topography on ASR is still marked in January and July over RT.

Citation Download Citation

Wenhui Wu, Shujie Yuan, Xiaoping Gu, and Xinfa Qiu "Distributed simulation of astronomical solar radiation over rugged terrains in the Guizhou Plateau", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67900O (14 November 2007); https://doi.org/10.1117/12.746359

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