globalchange  > 气候变化事实与影响
CSCD记录号: CSCD:6024145
论文题名:
基于信息熵的新疆降水时空变异特征研究
其他题名: Information entropy-based analysis of spatial and temporal variation in precipitation in Xinjiang
作者: 黄家俊1; 张强2; 张生3; 陈晓宏1
刊名: 生态学报
ISSN: 1000-0933
出版年: 2017
卷: 37, 期:13, 页码:398-409
语种: 中文
中文关键词: 降水量 ; 时空分布 ; 变异性 ; 信息熵
英文关键词: precipitation ; spatial and temporal distributions ; variation ; information entropy
WOS学科分类: METEOROLOGY ATMOSPHERIC SCIENCES
WOS研究方向: Meteorology & Atmospheric Sciences
中文摘要: 基于信息熵理论对新疆降水序列的时空变异性进行研究。利用边际熵研究不同时间尺度降水序列的变化特征。利用分配熵和强度熵分别研究降水量和降水天数年内和年代际(10a)分配情况。利用改进的Mann-Kendall趋势检验法分析新疆降水过程不确定性变化趋势。研究表明:(1)新疆降水量与降水天数年内分配不均匀性主要表现为由南向北减小的空间分布特征;(2)新疆不同尺度的降水序列不确定性具有明显空间特征;(3)越降水越稀少的地区,降水量与降水天数变异性就越大。本研究对该区域降水时空变异研究与水资源规划具有重要意义。
英文摘要: 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 19651973 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.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/152996
Appears in Collections:气候变化事实与影响

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作者单位: 1.中山大学,水资源与环境系, 广州, 广东 510275, 中国
2.北京师范大学, 环境演变与自然灾害教育部重点实验室, 北京 100875, 中国
3.宿州学院环境与测绘工程学院, 宿州, 234000

Recommended Citation:
黄家俊,张强,张生,等. 基于信息熵的新疆降水时空变异特征研究[J]. 生态学报,2017-01-01,37(13):398-409
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