Divergent Seasonal Biophysical Effects Induced by the Three Gorges Reservoir

三峡 环境科学 水文学(农业) 地质学 岩土工程
作者
Hongbin Li,Weiguang Wang,Guoshuai Liu,Fabio Castelli,Giovanni Forzieri
出处
期刊:Water Resources Research [Wiley]
卷期号:61 (9) 被引量:1
标识
DOI:10.1029/2024wr039325
摘要

Abstract Large artificial reservoirs have been increasingly promoted over the last decades as an effective tool to relieve the shortage of water resources and mitigate the unavoidable negative effects of climate change. However, due to complex interactions between human and natural systems, their associated biophysical effects and the spatial extent of their propagation remain unclear. Here, we focus on the Three Gorges Reservoir (TGR), the world's largest hydropower project, to quantify its induced biophysical impact over the operational period 2010–2021 by integrating ground observations, satellite‐based retrievals and process‐based model simulations. Results show that the impoundment of TGR has led to a cooling at the local scale in daytime land surface temperature (LST) (−1.28 ± 0.05 K) particularly pronounced during hot and wet seasons and a warming signal in nighttime LST (+0.22 ± 0.06 K), markedly in cold and dry seasons. Such effects propagate toward surrounding territories up to 12 km far from the water body. Model simulations suggest that the widespread alteration in land‐covers and water storage resulting from the TGR has influenced considerably the surface energy budget at regional scale both in terms of energy redistribution and radiative forcing ultimately leading to a net cooling. Such signal appears mostly driven by the increase in latent heat promoted by the enhanced water availability and changes in wind fields which ultimately offsets the opposite warming effect associated with the increased solar energy absorption resulting from the reduction in surface albedo. These findings underscore the role of reservoirs in regional climate change and offer strategic insights for large dam planning to mitigate emerging, warming‐related, climate threats.
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
刚刚
1秒前
2秒前
3秒前
3秒前
研友_VZG7GZ应助研友_惊鸿采纳,获得30
3秒前
Nole应助Rita采纳,获得10
3秒前
4秒前
liugm发布了新的文献求助10
6秒前
学习使我快乐1917完成签到,获得积分10
6秒前
冰海战记应助困困包采纳,获得10
7秒前
aging00发布了新的文献求助30
7秒前
煲珠公发布了新的文献求助30
8秒前
8秒前
8秒前
9秒前
9秒前
12122131发布了新的文献求助10
9秒前
欢呼傲云发布了新的文献求助10
9秒前
9秒前
FashionBoy应助王乐安采纳,获得10
11秒前
新手菜鸟发布了新的文献求助20
11秒前
我是老大应助橙子采纳,获得10
12秒前
Joyi完成签到,获得积分10
12秒前
豆豆发布了新的文献求助10
13秒前
研友_惊鸿发布了新的文献求助30
13秒前
weapon1011完成签到,获得积分10
13秒前
14秒前
14秒前
11111发布了新的文献求助10
15秒前
15秒前
大个应助dua采纳,获得10
16秒前
希望天下0贩的0应助aging00采纳,获得30
16秒前
森森发布了新的文献求助20
17秒前
zzy发布了新的文献求助30
17秒前
18秒前
18秒前
ling完成签到,获得积分10
19秒前
19秒前
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
Management and the Arts 310
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7631312
求助须知:如何正确求助?哪些是违规求助? 9205680
关于积分的说明 19742678
捐赠科研通 7200672
什么是DOI,文献DOI怎么找? 3274573
关于科研通互助平台的介绍 2436554
邀请新用户注册赠送积分活动 2271168