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基于遥感数据集的 1998-2015 年中国 21 个典型城市的极端降雨趋势。

Extreme rainfall trends of 21 typical urban areas in China during 1998-2015 based on remotely sensed data sets.

机构信息

Institute of Urban Studies, Shanghai Normal University, Shanghai, 200234, China.

School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai, 200234, China.

出版信息

Environ Monit Assess. 2019 Nov 1;191(12):709. doi: 10.1007/s10661-019-7900-7.

Abstract

With the increase of population, many cities are growing in size at a phenomenal rate. Urbanization changes the urban underlying surface, influences the micro-climate, and sometimes affects the local precipitation process. In this study, we investigated the trends of extreme rainfall in China's 21 typical urban areas. Based on a series of daily rainfall and "Urban/built-up" dataset from TMPA 3B42 and MCD12Q1 products in China, trends in extreme precipitation, with the threshold defined as 95th (pre95p) and 99th (pre99p) percentiles of annual rain days during 1998-2015, have been assessed in China, and especially in 21 typical urban areas from 1998 to 2015. The tendency curves in extreme rainfall of different years are presented. In this period, more than 66% regions of China covered by TMPA 3B42 have increasing trends in extreme rainfall with pre95p threshold. The 21 typical urban areas showed different trends-in over half of these areas, upward tendencies in extreme rainfall were observed, particularly in Dalian, Beijing, and Chongqing. Seventeen urban areas showed increasing tendencies in pre95p extreme rainfall days, including Shanghai, Nanjing, Hangzhou, and Suzhou in the Yangtze River Delta region. The results also illustrate that southeastern coastal urban areas of China may have experienced decreasing occurrences in extreme rainfall.

摘要

随着人口的增加,许多城市的规模正在以惊人的速度增长。城市化改变了城市的下垫面,影响了微气候,有时还会影响当地的降水过程。在本研究中,我们调查了中国 21 个典型城市地区极端降水的趋势。基于 TMPA 3B42 和 MCD12Q1 产品在中国的一系列日降雨量和“城市/建成区”数据集,评估了极端降水的趋势,阈值定义为 1998-2015 年期间年雨日的第 95 百分位(pre95p)和第 99 百分位(pre99p)。给出了不同年份极端降水的倾向曲线。在这一时期,中国超过 66%的 TMPA 3B42 覆盖区域的极端降水呈增加趋势,具有 pre95p 阈值。21 个典型城市地区表现出不同的趋势——其中一半以上的城市地区极端降水呈上升趋势,特别是在大连、北京和重庆。17 个城市地区的 pre95p 极端降雨日数呈增加趋势,包括长三角地区的上海、南京、杭州和苏州。结果还表明,中国东南沿海城市地区的极端降雨可能有所减少。

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