Spatiotemporal Variations of Extreme Precipitation Events in the Jinsha River Basin, Southwestern China
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 Ch...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Advances in Meteorology |
Online Access: | http://dx.doi.org/10.1155/2020/3268923 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832547707613347840 |
---|---|
author | Dan Zhang Wensheng Wang Shuqi Liang Shunjiu Wang |
author_facet | Dan Zhang Wensheng Wang Shuqi Liang Shunjiu Wang |
author_sort | Dan Zhang |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-685f43c1562b41c582753b78f92bd3d8 |
institution | Kabale University |
issn | 1687-9309 1687-9317 |
language | English |
publishDate | 2020-01-01 |
publisher | Wiley |
record_format | Article |
series | Advances in Meteorology |
spelling | doaj-art-685f43c1562b41c582753b78f92bd3d82025-02-03T06:43:36ZengWileyAdvances in Meteorology1687-93091687-93172020-01-01202010.1155/2020/32689233268923Spatiotemporal Variations of Extreme Precipitation Events in the Jinsha River Basin, Southwestern ChinaDan Zhang0Wensheng Wang1Shuqi Liang2Shunjiu Wang3School of Water Resource and Hydropower, Sichuan University, 610065 Chengdu, ChinaSchool of Water Resource and Hydropower, Sichuan University, 610065 Chengdu, ChinaSchool of Water Resource and Hydropower, Sichuan University, 610065 Chengdu, ChinaChengdu Institute of Plateau Meteorology, China Meteorological Administration, 610072 Chengdu, ChinaClimate 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.http://dx.doi.org/10.1155/2020/3268923 |
spellingShingle | Dan Zhang Wensheng Wang Shuqi Liang Shunjiu Wang Spatiotemporal Variations of Extreme Precipitation Events in the Jinsha River Basin, Southwestern China Advances in Meteorology |
title | Spatiotemporal Variations of Extreme Precipitation Events in the Jinsha River Basin, Southwestern China |
title_full | Spatiotemporal Variations of Extreme Precipitation Events in the Jinsha River Basin, Southwestern China |
title_fullStr | Spatiotemporal Variations of Extreme Precipitation Events in the Jinsha River Basin, Southwestern China |
title_full_unstemmed | Spatiotemporal Variations of Extreme Precipitation Events in the Jinsha River Basin, Southwestern China |
title_short | Spatiotemporal Variations of Extreme Precipitation Events in the Jinsha River Basin, Southwestern China |
title_sort | spatiotemporal variations of extreme precipitation events in the jinsha river basin southwestern china |
url | http://dx.doi.org/10.1155/2020/3268923 |
work_keys_str_mv | AT danzhang spatiotemporalvariationsofextremeprecipitationeventsinthejinshariverbasinsouthwesternchina AT wenshengwang spatiotemporalvariationsofextremeprecipitationeventsinthejinshariverbasinsouthwesternchina AT shuqiliang spatiotemporalvariationsofextremeprecipitationeventsinthejinshariverbasinsouthwesternchina AT shunjiuwang spatiotemporalvariationsofextremeprecipitationeventsinthejinshariverbasinsouthwesternchina |