自然资源学报 ›› 2017, Vol. 32 ›› Issue (9): 1579-1590.doi: 10.11849/zrzyxb.20160874

所属专题: 气候变化与地表过程

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长三角地区地表干湿状况及极端干湿事件特征研究

徐羽1, 2, 吴艳飞2, 徐刚2, *, 刘敏2   

  1. 1. 南京大学地理与海洋科学学院,南京 210023;
    2. 西南大学地理科学学院,重庆 400715
  • 收稿日期:2016-08-15 修回日期:2016-12-26 出版日期:2017-09-20 发布日期:2017-09-20
  • 通讯作者: 徐刚(1959-),男,重庆人,教授,硕士生导师,主要从事城市地貌与灾害研究。E-mail:xuliumin@swu.edu.cn
  • 作者简介:徐羽(1989- ),男,安徽寿县人,博士研究生,研究方向为水文学与水资源学。E-mail:xuyu906@163.com
  • 基金资助:
    国家自然科学基金项目(No.41372177)

Characteristics of Surface Humidity and Extreme Drought/Wet Events in Yangtze River Delta

XU Yu1, 2, WU Yan-fei2, XU Gang2, LIU Min2   

  1. 1. School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, China;
    2. School of Geographic Sciences, Southwest University, Chongqing 400715, China
  • Received:2016-08-15 Revised:2016-12-26 Online:2017-09-20 Published:2017-09-20
  • Supported by:
    National Natural Science Foundation of China, No.41372177

摘要: 利用Penman-Monteith模型及1957—2014年长三角地区43个气象站点逐日降水、气温、风速、日照时数及空气相对湿度实测数据,对参考作物蒸散量、地表湿润指数和极端干旱/湿润事件进行了计算和统计。运用线性回归、Trend-free pre-whitening (TFPW) Mann-Kendall趋势检验、Morlet小波分析等方法,分析了研究区地表湿润指数及极端干湿事件的时空分布特征。结果显示:1)近58 a长三角地区年及季节平均湿润指数在空间上呈南高北低分布格局;2)年湿润指数呈波动下降趋势,变化倾向率为-0.021/10 a,气候趋于干旱化。湿润期集中在20世纪80、90年代。突变年为2003年,并存在多个振荡周期。四季中,春秋季气候趋于干旱化,冬夏季反之。年际湿润指数变异系数和变化趋势存在明显的空间差异;3)年极端干旱事件发生频率呈波动上升趋势,年极端湿润事件则呈现微弱的下降趋势,均存在空间差异。

关键词: 参考作物蒸散量, 长三角地区, 极端干湿事件, 湿润指数

Abstract: Based on the Penman-Monteith Model and the daily meteorological data of precipitation, temperature, wind speed, sunshine duration and relative air humidity at 43 stations in Yangtze River Delta from 1957 to 2014, reference crop evapotranspiration, surface humidity index and extreme drought/wet events were detected and counted. The spatial and temporal variation of humidity index and extreme drought/wet events were analyzed using linear regression, TFPW-MK trend test and Morlet wavelet. The results indicated: 1) Annual and seasonal mean humidity indexes showed similar distribution patterns in recent 58 year in Yangtze River Delta except in summer that higher values distributed in the south and lower values distributed in the north, which were mainly influenced by latitude, distance from the sea, topographic conditions, and general atmospheric circulation. In summer, the low values of relative humidity index emerged along the axis of “North-central of Anhui-South-central of Jiangsu-North of Zhejiang-Shanghai”. 2) The climate showed the tendency of turning arid that the annual humidity index decreased at the rate of -0.021/10 a. 1980s and 1990s are humid period. The sudden change of annual relative humidity occurred in 2003 according to TFPW-MK abrupt change test, and there were several oscillation periods of annual relative humidity according to wavelet analysis, such as 12-18-year period from 1957 to 1990, 8-10-year period since 1977. At seasonal scale, the climate in spring and autumn turned dry and the climate in winter and summer turned humid. The mutational years of spring, autumn and winter were 1999, 1988 and 1985 respectively. Moreover, there were also several oscillation periods at seasonal scale. The change characteristics were mainly influenced by the variation of precipitation, evapotranspiration, Southern Oscillation and subtropical high over the western Pacific. Spatially, the aridification mainly happened in southeast, east and part of the west regions, while the humidification mainly emerged in the north-central and southwest regions. The variation coefficient of annual relative humidity had the spatial pattern that high values occurred in the northwest and low values occurred in the southeast. 3) The frequency of annual extreme drought events showed upward trend with the rate of 0.121/10 a, and the frequency of annual extreme wet events showed downward trend with the rate of -0.052/10 a. Spatially, the frequency of annual extreme drought events increased in the west and southeast of Anhui, south central of Jiangsu and most parts of Zhejiang, while it decreased in north and east of Anhui, northwest of Jiangsu, and northeast of Zhejiang. The frequency of annual extreme wet events presented the opposite spatial patterns with the frequency of annual extreme drought events, i.e. the frequency of annual extreme wet events increased in northwest region and decreased in southeast region.

Key words: extreme drought/wet events, humidity index, reference crop evapotranspiration, Yangtze River Delta

中图分类号: 

  • P467