Investigating the impacts of climate change on hydroclimatic extremes in the Tar-Pamlico River basin, North Carolina

气候变化 环境科学 水文学(农业) 流域 气候学 tar(计算) 构造盆地 水资源管理 地理 海洋学 地质学 计算机科学 地图学 古生物学 岩土工程 程序设计语言
作者
Thanh-Nhan-Duc Tran,Venkataraman Lakshmi,Son K.,J. R. Etheridge,Venkataraman Lakshmi
出处
期刊:Journal of Environmental Management [Elsevier BV]
卷期号:363: 121375-121375 被引量:2
标识
DOI:10.1016/j.jenvman.2024.121375
摘要

Evaluating the forthcoming impacts of climate change is important for formulating efficient and flexible approaches to water resource management. General Circulation Models (GCMs) are primary tools that enable scientists to study both past and potential future climate changes, as well as their impacts on policies and actions. In this work, we quantify the future projected impacts of hydroclimatic extremes on the coastal, risk-prone Tar-Pamlico River basin in North Carolina using GCMs from the Sixth International Coupled Model Intercomparison Project (CMIP6). These models incorporate projected future societal development scenarios (Shared Socioeconomic Pathways, SSPs) as defined in the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6). Specifically, we have utilized historical residential expansion data, the Soil and Water Assessment Tool Plus (SWAT+), the Standardized Precipitation Index (SPI), and the Interquartile Range (IQR) method for analyzing extremes from 2024 to 2100. Our findings include: (1) a trend toward wetter conditions is identified with an increase in flood events toward 2100; (2) projected increases in the severity of flood peaks are found, quantified by a rise of 21% compared to the 2000-2020 period; (3) downstream regions are forecast to experience severe droughts up to 2044; and (4) low-lying and coastal regions are found as particularly susceptible to higher flood peaks and more frequent drought events between 2045 and 2100. This work provides valuable insights into the anticipated shifts in natural disaster patterns and supports decision-makers and authorities in promoting adaptive strategies and sustainable policies to address challenges posed by future climate changes in the Tar-Pamlico region and throughout the state of North Carolina, United States.
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
1秒前
CodeCraft应助Annabelle采纳,获得10
1秒前
踏实谷蓝完成签到 ,获得积分10
2秒前
2秒前
2秒前
汉堡包应助瓜瓜叽叽采纳,获得10
4秒前
科研通AI5应助飘逸定帮采纳,获得10
4秒前
5秒前
领导范儿应助我是你爹采纳,获得10
5秒前
情怀应助皮卡丘采纳,获得10
6秒前
6秒前
wangyuchen发布了新的文献求助10
6秒前
6秒前
无情的匪发布了新的文献求助20
6秒前
6秒前
Jasper应助xinxing1010采纳,获得10
6秒前
Chemokin完成签到 ,获得积分10
7秒前
禾中发布了新的文献求助10
7秒前
善学以致用应助Himanny采纳,获得10
7秒前
研友_VZG7GZ应助坚定惊蛰采纳,获得10
8秒前
科研通AI5应助yaoyao123456采纳,获得10
10秒前
天天发布了新的文献求助10
10秒前
豪侠完成签到,获得积分10
10秒前
寂寞的白筠完成签到,获得积分10
10秒前
小小泽发布了新的文献求助10
11秒前
科研通AI5应助任性的鸵鸟采纳,获得10
11秒前
11秒前
XCXC应助wangyuchen采纳,获得10
12秒前
野蛮生长发布了新的文献求助10
12秒前
12秒前
nininini完成签到,获得积分20
12秒前
Hello应助王炸采纳,获得10
13秒前
科研狗发布了新的文献求助10
13秒前
13秒前
夕月完成签到,获得积分10
13秒前
14秒前
科研通AI5应助zr采纳,获得10
15秒前
暴躁的傲松完成签到,获得积分10
16秒前
123完成签到,获得积分10
17秒前
高分求助中
Worked Bone, Antler, Ivory, and Keratinous Materials 1000
Mass producing individuality 600
Algorithmic Mathematics in Machine Learning 500
Разработка метода ускоренного контроля качества электрохромных устройств 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies 300
Single Element Semiconductors: Properties and Devices 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 3828607
求助须知:如何正确求助?哪些是违规求助? 3371080
关于积分的说明 10466123
捐赠科研通 3090923
什么是DOI,文献DOI怎么找? 1700600
邀请新用户注册赠送积分活动 817945
科研通“疑难数据库(出版商)”最低求助积分说明 770618