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[1]FU Qiang,LI Tienan,LI Tianxiao,et al.Analysis of Spatial Complexity of Monthly Precipitation in Sanjiang Plain Based on Approximate Entropy[J].Research of Soil and Water Conservation,2015,22(02):113-116,122.

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Analysis of Spatial Complexity of Monthly Precipitation in Sanjiang Plain Based on Approximate Entropy

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 22 Number of periods: 2015 02 Page number: 113-116,122 Column: Public date: 2015-04-28

Title:: Analysis of Spatial Complexity of Monthly Precipitation in Sanjiang Plain Based on Approximate Entropy

Author(s):: FU Qiang^1,2, LI Tienan¹, LI Tianxiao¹, MENG Fanxiang³; 1. Collage of Water Conservancy & Architecture, Northeast Agricultural University, Harbin 150030, China;
2. Collaborative Innovation Centre of Grain Production Promotion in Heilongjiang Province, Harbin 150030, China;
3. Heilongjiang Nongken Survey Design Research Institute, Harbin 150090, China

Keywords:: Sanjiang Plain; approximate entropy theory; monthly precipitation; spatial complexity

CLC:: P333.1;S11⁺7

DOI:: -

Abstract:: The approximate entropy theory and ArcGIS spatial analysis theory were used to analyze the spatial complexity of monthly precipitation data collected at seven national weather stations in the Sanjiang Plain from 1959 to 2013. The results showed that the monthly precipitation presented a strong nonlinear feature. The range of monthly precipitation in Jixi station was maximum, which reached to 340.1 mm, and it was minimum in Fujin station, which only reached to 231.6 mm. The spatial complexity of monthly precipitation presented a strip distribution at the east-west direction and increased gradually from the southwest to northeast. The low altitude, more wetland and mountain areas, small precipitation intensity and precipitation day were the main drivers of difference in the spatial complexity characteristics. The research results can provide guidance for scientific investigations and the reasonable use of rainfall resources in the Sanjiang Plain.

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