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基于时空Moran's I指数的全国降雨量自相关分析 被引量:11

Autocorrelation analysis on China's rainfall based on the improved spatio-temporal Moran's I
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摘要 对全国160个站点收集的1951年~2000年降雨量数据进行时空自相关分析,探讨了降雨量的时空演变特征.研究结果表明:全国降雨量呈现时空聚集特征,具有明显的时空相关性;在时间维度上,全局时空Moran's I指数所反映的趋势,与全国5~9月降雨量上升趋势一致,对于相邻的月份,上个月的降雨量对下个月的降雨量有直接影响,即上个月降雨高聚集的区域也很有可能是下个月降雨高聚集的区域,随着两个月之间相隔的时间越长,这种相关性逐渐减小;空间维度上,局部时空Moran's I指数所反映的全国降雨量聚集模式,与5~9月实际降雨空间分布相符. Based on the rainfall data collected at 160 sites from 1951 to 2000, the characteristics of temporal and spatial evolution of the rainfall in China are explored in this pater by using temporal and spatial autocorrelation analysis. The result shows that: 1) the rainfall was characterized of temporal aggregation and of obvious spatio-temporal correlation; 2) in time dimension, the trend reflected from the global space-time Moran's Iindex is consistent with the nationwide trends of the rainfall rise from May to September, and the rainfall in the current month has a direct impact on that of the next month, in other words, the clustered regions with high rainfall in the previous month may also be the clustered regions with high values in the next month; 3) in the spatial dimension, the nationwide rainfall accumulation mode reflected by the local space-time Moran's I index is consistent with the actual spatial distribution of the rainfall from May to September.
出处 《华中师范大学学报(自然科学版)》 CAS 北大核心 2014年第6期923-929,共7页 Journal of Central China Normal University:Natural Sciences
基金 国家自然科学基金重点项目(41331174)
关键词 降雨量 时空Moran's I指数 时空自相关分析 空间权重矩阵 rainfall spatio-temporal Moran's I spatio-temporal autocorrelation analysis spatial weight matrix
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