Spatiotemporal Variations of Extreme Precipitation in Wuling Mountain Area (China) and Their Connection to Potential Driving Factors

降水 气候学 环境科学 气候变化 纬度 全球变暖 极端天气 自然地理学 大气科学 地理 气象学 地质学 海洋学 大地测量学
作者
Hong Du,Jun Xia,Yi Yan,Yuanyuan Lu,Jinhua Li
出处
期刊:Sustainability [Multidisciplinary Digital Publishing Institute]
卷期号:14 (14): 8312-8312 被引量:4
标识
DOI:10.3390/su14148312
摘要

Changes in extreme precipitation have become a significant issue of regional disaster risk assessment and water resources management. Extreme precipitation variability is affected by multiple factors and shows disparities across different regions. Especially in mountain areas, geographic feature and local characteristics put more complexity and uncertainty on the changes of precipitation extremes. In this study, ten extreme precipitation indices of Wuling Mountain Area (WMA) during 1960–2019 have been used to analyzed the spatiotemporal variations of precipitation extremes. The relationships between extreme precipitation and potential driving factors, including geographic factors, global warming, local temperature, and climate indices, were investigated via correlation analysis. The results indicated that extreme precipitation tends to have a shorter duration and stronger intensity in WMA. Decreasing trends in R10mm, R20mm, R25mm, and the consecutive wet days (CWD) series account for 92%, 68%, 52%, and 96% of stations, while most stations in WMA have rising trends in Rx1day (68%), SDII (64%), R95p (72%), and R99p (72%). Significant abrupt changes in extreme precipitation indices mainly occurred in the 1980s–1990s. Geographic factors, local temperature, and climate indices exert different impacts on extreme precipitation. Longitude and elevation instead of latitude significantly affect extreme precipitation indices except for the maximum duration of wet spells. Global warming is likely to increase the intensity and decrease the duration of extreme precipitation, while the influence of local temperature is not exactly the same as that of global warming. The study reveals that summer monsoon indices are the dominant climate factor for variations of precipitation extremes in WMA. The correlation coefficient between extreme precipitation indices (such as Rx1day, R95p, R99p) and the East Asian summer monsoon index is around 0.5 and passed the significant test at the 0.01 level. The weakening of the summer monsoon indices tends to bring extreme precipitation with stronger intensity. The findings provide more understanding of the drivers and reasons of extreme precipitation changes in the mountain area.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
Dr发布了新的文献求助200
1秒前
1秒前
小鱼发布了新的文献求助10
1秒前
1秒前
平常的白猫完成签到,获得积分10
2秒前
XxxPessimist1c完成签到,获得积分10
2秒前
nb完成签到,获得积分10
3秒前
稻草完成签到,获得积分10
3秒前
大模型应助Micheallee采纳,获得10
3秒前
醉熏的语海完成签到,获得积分10
3秒前
1111完成签到 ,获得积分20
3秒前
天真的秋翠完成签到,获得积分10
3秒前
456完成签到,获得积分10
4秒前
cg发布了新的文献求助10
4秒前
4秒前
晏子完成签到,获得积分10
5秒前
科研通AI5应助无心的热狗采纳,获得10
5秒前
猪猪完成签到,获得积分10
5秒前
5秒前
6秒前
饱满晓霜完成签到,获得积分10
6秒前
6秒前
7秒前
AYEFORBIDER发布了新的文献求助20
7秒前
交院完成签到,获得积分10
7秒前
8秒前
大模型应助zychaos采纳,获得10
8秒前
怡米李完成签到,获得积分10
8秒前
李琛完成签到,获得积分10
9秒前
琪琪完成签到,获得积分10
9秒前
Yyang完成签到,获得积分10
10秒前
夏侯三问发布了新的文献求助10
10秒前
10秒前
10秒前
Zx完成签到 ,获得积分10
10秒前
坦率凉面发布了新的文献求助10
10秒前
wanci应助BioRick采纳,获得10
10秒前
ColdSunWu发布了新的文献求助10
10秒前
helpme完成签到,获得积分10
11秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Deciphering Earth's History: the Practice of Stratigraphy 200
New Syntheses with Carbon Monoxide 200
Faber on mechanics of patent claim drafting 200
Quanterion Automated Databook NPRD-2023 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3834218
求助须知:如何正确求助?哪些是违规求助? 3376802
关于积分的说明 10495184
捐赠科研通 3096251
什么是DOI,文献DOI怎么找? 1704868
邀请新用户注册赠送积分活动 820288
科研通“疑难数据库(出版商)”最低求助积分说明 771926