Spatiotemporal Variations of Extreme Precipitation Events in the Jinsha River Basin, Southwestern China

Author:

Zhang Dan12,Wang Wensheng12ORCID,Liang Shuqi12,Wang Shunjiu3

Affiliation:

1. School of Water Resource and Hydropower, Sichuan University, 610065 Chengdu, China

2. State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, 610065 Chengdu, China

3. Chengdu Institute of Plateau Meteorology, China Meteorological Administration, 610072 Chengdu, China

Abstract

Climate extremes have attracted widespread attention for their threats to the natural environment and human society. Based on gauged daily precipitation from 1963 to 2016 in four subregions of the Jinsha River Basin (JRB), four extreme precipitation indices developed by the Expert Team on Climate Change Detection and Indices (ETCCDI) were employed to assess the spatiotemporal variations of extreme precipitation events. Results show the following: (1) Max one-day precipitation amount (RX1day), max consecutive five-day precipitation amount (RX5day), precipitation on very wet days (R95p), and number of heavy precipitation days (R10mm) showed increasing trends in four subregions except for the decline of R10mm in the southeastern and RX5day in the midsouthern. Extreme precipitation has become more intense and frequent in most parts of the JRB. (2) In space, the four extreme precipitation indices increased from the northwest to the southeast. Temporal trends of extreme precipitation showed great spatial variability. It is notable that extreme precipitation increased apparently in higher elevation areas. (3) The abrupt change of extreme precipitation in the northwestern, midsouthern, and southeastern mainly appeared in the late 1990s and the 2000s. For the midnorthern, abrupt change mainly occurred in the late 1980s. This study is meaningful for regional climate change acquaintance and disaster prevention in the JRB.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Atmospheric Science,Pollution,Geophysics

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