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基于信息熵的我国日降水量随机性和时空差异性

李鑫鑫 桑燕芳 谢平 刘昌明

应用生态学报2018,Vol.29Issue(4):1071-1078,8.
应用生态学报2018,Vol.29Issue(4):1071-1078,8.DOI:10.13287/j.1001-9332.201804.013

基于信息熵的我国日降水量随机性和时空差异性

Stochastic characteristics of daily precipitation and its spatiotemporal difference over China based on information entropy

李鑫鑫 1桑燕芳 2谢平 1刘昌明3

作者信息

  • 1. 中国科学院地理科学与资源研究所陆地水循环与地表过程重点实验室,北京100101
  • 2. 中国科学院大学,北京101407
  • 3. 南京水利科学研究院水文水资源与水利工程科学国家重点实验室,南京210029
  • 折叠

摘要

Abstract

Daily precipitation process in China showed obvious randomness and spatiotemporal variation.It is important to accurately understand the influence of precipitation changes on control of flood and waterlogging disaster.Using the daily precipitation data measured at 520 stations in China during 1961-2013,we quantified the stochastic characteristics of daily precipitation over China based on the index of information entropy.Results showed that the randomness of daily precipitation in the southeast region were larger than that in the northwest region.Moreover,the spatial distribution of stochastic characteristics of precipitation was different at various grades.Stochastic characteristics of P0 (precipitation at 0.1-10 mm) was large,but the spatial variation was not obvious.The stochastic characteristics of P10 (precipitation at 10-25 mm) and P25 (precipitation at 25-50 mm) were the largest and their spatial difference was obvious.P50 (precipitation ≥ 50 mm) had the smallest stochastic characteristics and the most obviously spatial difference.Generally,the entropy values of precipitation obviously increased over the last five decades,indicating more significantly stochastic characteristics of precipitation (especially the obvious increase of heavy precipitation events) in most region over China under the scenarios of global climate change.Given that the spatial distribution and long-term trend of entropy values of daily precipitation could reflect the spatial distribution of stochastic characteristics of precipitation,our results could provide scientific basis for the control of flood and waterlogging disaster,the layout of agricultural planning,and the planning of ecological environment.

关键词

日降水/信息熵/随机性/时空差异性/洪涝灾害/中国

Key words

daily precipitation/information entropy/stochastic characteristics/temporal-spatial difference/flood disaster/China

引用本文复制引用

李鑫鑫,桑燕芳,谢平,刘昌明..基于信息熵的我国日降水量随机性和时空差异性[J].应用生态学报,2018,29(4):1071-1078,8.

基金项目

本文由国家自然科学基金项目(91647110,91547205,41330529)、中国科学院地理科学与资源研究所“秉维”优秀青年人才计划项目、中国科学院青年创新促进会项目(2017074)和水文水资源与水利工程科学国家重点实验室开放研究基金项目(2015491811)资助 (91647110,91547205,41330529)

This work was supported by the National Natural Science Foundation of China (91647110,91547205,41330529),the "Bingwei" Excellent Talents from the Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,the Youth Innovation Promotion Association of Chinese Academy of Sciences (2017074) and the Open Foundation of State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering (2015491811). (91647110,91547205,41330529)

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