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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Changes in annual, seasonal and monthly precipitation events and their link with elevation in Sichuan province, China
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Changes in annual, seasonal and monthly precipitation events and their link with elevation in Sichuan province, China

机译:中国四川省年,季,月降水事件的变化及其与海拔的联系

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摘要

This study performs the spatial and temporal trend analysis of the annual, seasonal and monthly time series of a set of uniformly distributed 36 stations precipitation data in Sichuan Province during 1960-2013. The result indicates that the annual precipitation amount and precipitation days across the region have decreasing trends, but the last is significant. The annual precipitation intensity and maximum 1-day precipitation have slightly increasing trends. Although annual precipitation amount and precipitation days decline, annual precipitation intensity and maximum 1-day precipitation rise. This reflects that droughts and floods increase in Sichuan Province in recent years. Seasonally, precipitation amount has decreased in all seasons, while autumn precipitation amount is statistically significant. Regionally average trends in precipitation days also show large differences in all seasons. The temporal variability in regional precipitation intensity increases except for autumn, but significant increases are found in spring and summer. Regional maximum 1-day precipitation has significantly increasing trends in spring and summer, but slightly decreasing trend in autumn and winter. On a monthly basis, trends of precipitation amount show tremendous differences. Spatial changes in annual, seasonal and monthly precipitation events are not the same, and they are not clustered, either. Additionally, the correlations between elevation and the magnitudes of the trends in annual precipitation amount and precipitation days are statistically significant whereas the correlations are not perfect in precipitation intensity and maximum 1-day precipitation. As can be seen from the seasonal and monthly precipitation amount, the correlations between elevation and the magnitudes of the trends in precipitation amount are higher in spring and autumn, but not perfect in summer and winter. April, October and December precipitation amount shows the strongest positive correlations with elevation. On the whole, the increasing trend of precipitation is relatively prominent at higher elevations, while the decrease trend is more significant at low elevation stations.
机译:这项研究对1960-2013年四川省一组均匀分布的36个台站降水数据的年,季和月时间序列进行了时空趋势分析。结果表明,该地区年降水量和降水日数均有减少趋势,但末次降水量显着。年降水强度和最大1天降水量有轻微增加的趋势。尽管年降水量和降水天数减少,但年降水强度和最大1天降水量却增加。这反映出近年来四川省的干旱和洪水增加。从季节上看,所有季节的降水量都有所减少,而秋季的降水量具有统计学意义。降水日的区域平均趋势在所有季节中也显示出很大的差异。除秋季外,区域降水强度的时间变异性增加,但春季和夏季显着增加。区域最大的1天降水量在春季和夏季显着增加,而在秋季和冬季则略有减少。每月降水量趋势显示出巨大差异。年度,季节和月度降水事件的空间变化也不相同,也不是聚类的。另外,海拔高度与年降水量和降水日数趋势趋势之间的相关性在统计上是显着的,而在降水强度和最大1天降水量方面,这种相关性并不完美。从季节性和每月降水量可以看出,春季和秋季海拔高度与降水量趋势趋势的大小之间的相关性较高,而在夏季和冬季则不尽相同。 4月,10月和12月的降水量与海拔高度呈正相关。总体而言,高海拔地区的降水增加趋势相对突出,而低海拔站的减少趋势更为明显。

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