Spatio-temporal Distribution Characteristics and Future Trend Analysis of Extreme Climate Indices in Nenjiang River Basin over the Past 60 Years

The study of extreme climate change in the Nenjiang River Basin is of great significance for ensuring ecological security and agricultural production. Based on the observation data such as daily temperature and precipitation from 12 meteorological stations in the Nenjiang River Basin between 1960 an...

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Main Authors: GONG Xiao, DAI Changlei, LI Shuling, XIAO Yue
Format: Article
Language:zho
Published: Editorial Office of Pearl River 2025-01-01
Series:Renmin Zhujiang
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Online Access:http://www.renminzhujiang.cn/thesisDetails?columnId=80423163&Fpath=home&index=0
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author GONG Xiao
DAI Changlei
LI Shuling
XIAO Yue
author_facet GONG Xiao
DAI Changlei
LI Shuling
XIAO Yue
author_sort GONG Xiao
collection DOAJ
description The study of extreme climate change in the Nenjiang River Basin is of great significance for ensuring ecological security and agricultural production. Based on the observation data such as daily temperature and precipitation from 12 meteorological stations in the Nenjiang River Basin between 1960 and 2020, this paper selects 26 extreme climate indices. Meanwhile, methods like the linear fitting, Mann-Kendall mutation test, and sliding T-test are adopted to analyze the spatio-temporal variation characteristics of extreme temperature and precipitation in the basin. Additionally, this paper utilizes the NEX-GDDP-CMIP6 dataset to predict future climate change trends in the basin. The results show that from 1960 to 2020, the extreme warm index significantly increases, while the extreme cold index significantly decreases, with mutation years mainly concentrated in the years after 1975. The extreme precipitation index significantly rises, with mutation years primarily in the years after 2010. In terms of spatial distribution, the areas with high-value extreme cold indices are mainly located in the Oroqen Autonomous Banner, while the areas with high-value extreme warm indices are more scattered. In addition to the intensity indices, other areas with high-value extreme precipitation indices are also concentrated in the Oroqen Autonomous Banner. In the future, the Nenjiang River Basin is expected to show a warming trend in temperature and a rising trend in precipitation, with an increased probability of extreme high-temperature events and extreme precipitation events.
format Article
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institution Kabale University
issn 1001-9235
language zho
publishDate 2025-01-01
publisher Editorial Office of Pearl River
record_format Article
series Renmin Zhujiang
spelling doaj-art-f516ddd903ae4fbc9eecce8649a973522025-01-25T19:00:41ZzhoEditorial Office of Pearl RiverRenmin Zhujiang1001-92352025-01-0111580423163Spatio-temporal Distribution Characteristics and Future Trend Analysis of Extreme Climate Indices in Nenjiang River Basin over the Past 60 YearsGONG XiaoDAI ChangleiLI ShulingXIAO YueThe study of extreme climate change in the Nenjiang River Basin is of great significance for ensuring ecological security and agricultural production. Based on the observation data such as daily temperature and precipitation from 12 meteorological stations in the Nenjiang River Basin between 1960 and 2020, this paper selects 26 extreme climate indices. Meanwhile, methods like the linear fitting, Mann-Kendall mutation test, and sliding T-test are adopted to analyze the spatio-temporal variation characteristics of extreme temperature and precipitation in the basin. Additionally, this paper utilizes the NEX-GDDP-CMIP6 dataset to predict future climate change trends in the basin. The results show that from 1960 to 2020, the extreme warm index significantly increases, while the extreme cold index significantly decreases, with mutation years mainly concentrated in the years after 1975. The extreme precipitation index significantly rises, with mutation years primarily in the years after 2010. In terms of spatial distribution, the areas with high-value extreme cold indices are mainly located in the Oroqen Autonomous Banner, while the areas with high-value extreme warm indices are more scattered. In addition to the intensity indices, other areas with high-value extreme precipitation indices are also concentrated in the Oroqen Autonomous Banner. In the future, the Nenjiang River Basin is expected to show a warming trend in temperature and a rising trend in precipitation, with an increased probability of extreme high-temperature events and extreme precipitation events.http://www.renminzhujiang.cn/thesisDetails?columnId=80423163&Fpath=home&index=0extreme climate indexspatio-temporal characteristicsNEX-GDDP-CMIP6future trendsNenjiang River Basin
spellingShingle GONG Xiao
DAI Changlei
LI Shuling
XIAO Yue
Spatio-temporal Distribution Characteristics and Future Trend Analysis of Extreme Climate Indices in Nenjiang River Basin over the Past 60 Years
Renmin Zhujiang
extreme climate index
spatio-temporal characteristics
NEX-GDDP-CMIP6
future trends
Nenjiang River Basin
title Spatio-temporal Distribution Characteristics and Future Trend Analysis of Extreme Climate Indices in Nenjiang River Basin over the Past 60 Years
title_full Spatio-temporal Distribution Characteristics and Future Trend Analysis of Extreme Climate Indices in Nenjiang River Basin over the Past 60 Years
title_fullStr Spatio-temporal Distribution Characteristics and Future Trend Analysis of Extreme Climate Indices in Nenjiang River Basin over the Past 60 Years
title_full_unstemmed Spatio-temporal Distribution Characteristics and Future Trend Analysis of Extreme Climate Indices in Nenjiang River Basin over the Past 60 Years
title_short Spatio-temporal Distribution Characteristics and Future Trend Analysis of Extreme Climate Indices in Nenjiang River Basin over the Past 60 Years
title_sort spatio temporal distribution characteristics and future trend analysis of extreme climate indices in nenjiang river basin over the past 60 years
topic extreme climate index
spatio-temporal characteristics
NEX-GDDP-CMIP6
future trends
Nenjiang River Basin
url http://www.renminzhujiang.cn/thesisDetails?columnId=80423163&Fpath=home&index=0
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AT daichanglei spatiotemporaldistributioncharacteristicsandfuturetrendanalysisofextremeclimateindicesinnenjiangriverbasinoverthepast60years
AT lishuling spatiotemporaldistributioncharacteristicsandfuturetrendanalysisofextremeclimateindicesinnenjiangriverbasinoverthepast60years
AT xiaoyue spatiotemporaldistributioncharacteristicsandfuturetrendanalysisofextremeclimateindicesinnenjiangriverbasinoverthepast60years