生态学报2017，Vol.37Issue(13)：4444-4455,12.DOI:10.5846/stxb201412052409
基于信息熵的新疆降水时空变异特征研究
Information entropy-based analysis of spatial and temporal variation in precipitation in Xinjiang
摘要
Abstract
The precipitation distribution is becoming highly unstable due to climate change and intensifying human interference.Therefore,estimations of the precipitation distribution are extraordinary important for understanding the hydrological cycle and are crucial for water resource management.In this study,variation in spatial and temporal characteristics of precipitation in Xinjiang was evaluated based on information entropy theory.Variation in the precipitation sequence for various time scales was confirmed using marginal entropy.Furthermore,the distribution in precipitation amounts and the number of days with precipitation within a year and among decades were systematically analyzed using apportionment and intensity entropy measures,respectively.A modified Mann-Kendall test was applied to detect trends in precipitation uncertainty in Xinjiang.This analysis provided a few key findings:(1) The spatial variation in both the amount of precipitation and the number of days with precipitation within a year decreased from South Xinjiang to North Xinjiang,indicating that South Xinjiang has obvious uncertainty with respect to both characteristics.Moreover,the spatial and temporal distribution of precipitation amounts and the number of days with precipitation within a year were similar;the greatest variability in precipitation amount was observed during 1965-1973 and the greatest variability in the number of days with precipitation was observed in 1965,1997,and 2007.(2) The uncertainty for various scales of the precipitation sequence in Xinjiang has obvious space structures.For example,South Xinjiang had greater uncertainty than North Xinjiang in the spring and autumn,while there was no obvious spatial distribution in the summer and winter.(3) The sparser the precipitation in a region,the greater the variation in the amount of precipitation and the number of days with precipitation.(4) Based on the apportionment disorder index for annual precipitation changes,most meteorological stations observed significant decreases,except the Ruoqiang Station,and these stations are mainly located in the southern area of South Xinjiang,the northern area of North Xinjiang,and the northern Tianshan area.This study improves our understanding of the spatial and temporal variation in precipitation and has implications for water resource management.关键词
降水量/时空分布/变异性/信息熵Key words
precipitation/spatial and temporal distributions/variation/information entropy引用本文复制引用
黄家俊,张强,张生,陈晓宏..基于信息熵的新疆降水时空变异特征研究[J].生态学报,2017,37(13):4444-4455,12.基金项目
国家杰出青年科学基金(51425903) （51425903）
国家自然科学基金创新群体项目(41621061) （41621061）
香港特别行政区研究资助局资助项目(CUHK441313) （CUHK441313）
