Quantifying natural and anthropogenic impacts on streamflow and sediment load reduction in the upper to middle Yellow River Basin

水流 沉积物 构造盆地 环境科学 自然(考古学) 水文学(农业) 流域 地质学 地理 地貌学 地图学 古生物学 岩土工程
作者
Dandan Ren,Shuguang Liu,Yiping Wu,Fangmeng Xiao,Sopan Patil,Richard Dallison,Shuailong Feng,Fubo Zhao,Linjing Qiu,Shuai Wang,Shengnan Zhang,Le Li
出处
期刊:Journal of Hydrology: Regional Studies [Elsevier BV]
卷期号:53: 101788-101788 被引量:1
标识
DOI:10.1016/j.ejrh.2024.101788
摘要

Upper to Middle Yellow River Basin (UMYRB). Climate, land use, and landscape engineering measures are the main drivers affecting watershed hydrology, yet disentangling their respective contributions over large and complex regions is a great challenge. We combine process modeling techniques and hydrological observations to investigate the temporal changes of streamflow and sediment in the UMYRB during 1971–2016 and the imprints of climate change and anthropogenic activities. Long-term statistical analysis shows that streamflow and sediment decreased over time across the basin with an increasing magnitude of reduction from upstream to midstream. Streamflow of UMYRB and sediment in the upstream area have decreased by 37.59 % and 71.86 %, respectively, since their change-point years. Analytical modeling results in the UMYRB demonstrate that 77.30 % of the streamflow reduction was attributed to landscape engineering measures, 16 % to climate change and the remaining 6.70 % to land use change. For sediment reduction, landscape engineering measures appeared to be the sole decisive factor for the upstream (over 126 %), while climate and land use changes positively affected sediment yield. Our study highlights the importance of considering the impacts of multiple factors when evaluating hydrological changes in large basins, and the method we adopted can be valuable elsewhere. Developing process-based methods to quantify the hydrological effects of engineering measures is still a research priority moving forward.
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
001完成签到,获得积分20
刚刚
二般人发布了新的文献求助10
1秒前
共享精神应助JF123_采纳,获得10
1秒前
1秒前
1秒前
开心青曼完成签到,获得积分10
3秒前
传奇3应助俱乐部采纳,获得10
3秒前
3秒前
4秒前
Cyril完成签到 ,获得积分10
4秒前
芜湖发布了新的文献求助20
4秒前
hufan2441发布了新的文献求助10
4秒前
陈玉锋发布了新的文献求助10
4秒前
JamesPei应助大树大树采纳,获得10
4秒前
情怀应助zz采纳,获得10
5秒前
简墨完成签到,获得积分10
5秒前
5秒前
爆米花应助科学家采纳,获得10
6秒前
汉堡包应助ewmmel采纳,获得10
6秒前
隐形曼青应助芋泥采纳,获得30
7秒前
7秒前
JamesPei应助肖耶啵采纳,获得10
7秒前
xch完成签到,获得积分10
8秒前
刀笔吏完成签到,获得积分10
8秒前
不安毛豆发布了新的文献求助10
9秒前
9秒前
zz完成签到,获得积分10
9秒前
田様应助ewmmel采纳,获得10
9秒前
隐形曼青应助合适丹彤采纳,获得10
9秒前
研友_zLaJQn完成签到,获得积分10
10秒前
11秒前
华仔应助hufan2441采纳,获得10
11秒前
qiqi大宝贝发布了新的文献求助10
12秒前
12秒前
邬紫依发布了新的文献求助10
13秒前
YQP应助安静爆米花采纳,获得10
13秒前
Yuki完成签到,获得积分10
13秒前
传奇3应助陈玉锋采纳,获得10
14秒前
初次完成签到 ,获得积分10
14秒前
白玫瑰发布了新的文献求助30
15秒前
高分求助中
Applied Survey Data Analysis (第三版, 2025) 800
Assessing and Diagnosing Young Children with Neurodevelopmental Disorders (2nd Edition) 700
Images that translate 500
Algorithmic Mathematics in Machine Learning 500
Handbook of Innovations in Political Psychology 400
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
Nucleophilic substitution in azasydnone-modified dinitroanisoles 300
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 3842155
求助须知:如何正确求助?哪些是违规求助? 3384295
关于积分的说明 10533896
捐赠科研通 3104642
什么是DOI,文献DOI怎么找? 1709781
邀请新用户注册赠送积分活动 823319
科研通“疑难数据库(出版商)”最低求助积分说明 774029