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Distributed modeling of direct solar radiation on rugged terrain of the Yellow River Basin

Distributed modeling of direct solar radiation on rugged terrain of the Yellow River Basin

作     者:ZENG Yan QIU Xinfa LIU Changming JIANG Aijun ZENG Yan;QIU Xinfa;LIU Changming;JIANG Aijun

作者机构:Jiangsu Institute of Meteorological Sciences Nanjing 210008 China Department otGeospatial Information Sciences Nanjing University of Information Science and TechnologyNanjing 210044 China Institute of Geographic Sciences and Natural Resources ResearchCAS Beijing 100101 China 

出 版 物:《Journal of Geographical Sciences》 (地理学报(英文版))

年 卷 期:2005年第15卷第4期

页      面:439-447页

核心收录:

学科分类:07[理学] 070401[理学-天体物理] 0704[理学-天文学] 

基  金:MajorStateBasicResearch Developm entProgram ofChina,No.G20000779 No.G19990436-01 

主  题:direct solar radiation (DSR) rugged terrain digital elevation model (DEM) distributed model Yellow River Basin 

摘      要:Due to the influences of local topographical factors and terrain inter-shielding, calculation of direct solar radiation (DSR) quantity of rugged terrain is very complex. Based on digital elevation model (DEM) data and meteorological observations, a distributed model for calculating DSR over rugged terrain is developed. This model gives an all-sided consideration on factors influencing th a resolution of 1 km × 1 km for thDSR. Using the developed model, normals of annual DSR quantity wie Yellow River Basin was generated, with DEM data as the general characterization of terrain. Characteristics of DSR quantity influenced by geographic and topographic factors over rugged terrain were analyzed thoroughly. Results suggest that: influenced by local topographic factors, i.e. azimuth, slope and so on, and annual DSR quantity over mountainous area has a clear spatial difference; annual DSR quantity of sunny slope (or southern slope) of mountains is obviously larger than that of shady slope (or northern slope). The calculated DSR quantity of the Yellow River Basin is provided in the same way as other kinds of spatial information and can be employed as basic geographic data for relevant studies as well.

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