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[1]YUAN Li-feng,YANG Gui-shan,LI Heng-peng,et al.Study on Variation Rule of Rainfall Spatial Distribution in Poyang Lake Basin Based on Geostatistic Method and GIS[J].Research of Soil and Water Conservation,2013,20(04):34-38,43.

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Study on Variation Rule of Rainfall Spatial Distribution in Poyang Lake Basin Based on Geostatistic Method and GIS

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 20 Number of periods: 2013 04 Page number: 34-38,43 Column: Public date: 2013-08-28

Title:: Study on Variation Rule of Rainfall Spatial Distribution in Poyang Lake Basin Based on Geostatistic Method and GIS

Author(s):: YUAN Li-feng^1,2,3, YANG Gui-shan², LI Heng-peng², ZHANG Zeng-xin⁴; 1. College of Geography & Biological Information, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;
2. Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;
3. Key Lab of Virtual Geographic Environment, Ministry of Education, Nanjing 210046, China;
4. Jiangsu Key Laboratory of Forestry Ecological Engineering, Nanjing Forestry University, Nanjing 210037, China

Keywords:: Poyang Lake; rainfall; geostatistics; GIS

CLC:: P333.1

DOI:: -

Abstract:: Monthly rainfall data in 16 meteorological stations in Poyang lake basin through 1960 to 2008 were used to analyze spatial distribution of rainfall based on geostatistic and GIS technology. The results show that: (1) the spatial distribution of the average annual rainfall shows an increasing tendency from the southwest to the northeast and from the northwest to northeast; (2) the high value center of inter-generational rainfall have generally arisen in Lushan Mountain and Yushan, and the low value center of that occurs in Ganzhou, Suichuan of the southern of Jiangxi; (3) spatial analysis of the seasonal rainfall change shows that the seasonal average annual rainfalls belong to a weak or moderate variability level. In addition, it is good to make use of Gaussian model to simulate spatial distribution of seasonal rainfall, so Gaussian model should be used for seasonal rainfall spatial interpolation.

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