亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Reservoir Operation with Feedback in a Coupled Land Surface and Hydrologic Model: A Case Study of the Huai River Basin, China

环境科学 水流 水文学(农业) 防洪 SWAT模型 大洪水 流域 构造盆地 水文模型 水土评价工具 地质学 岩土工程 地貌学 气候学 神学 哲学 地理 地图学
作者
Meixia Lv,Zhenchun Hao,Zhaohui Lin,Zhuguo Ma,Meizhao Lv,Jiahu Wang
出处
期刊:Journal of The American Water Resources Association [Wiley]
卷期号:52 (1): 168-183 被引量:19
标识
DOI:10.1111/1752-1688.12375
摘要

Abstract Regarding emerging large‐scale reservoir operation models, reports of reservoir operation feedback for hydrologic modeling are rare, and little attention has been paid to flood control. An operation scheme considering multilevel flood control ( MLFC ) was first proposed in this study, but more reservoir information was needed. Thus, an alternative scheme was proposed that consisted of a modified version of the reservoir operation scheme in the Soil and Water Assessment Tool Model ( MSWAT scheme). These schemes were coupled to a land surface and hydrologic model system with feedback, i.e., a system in which reservoir operation can affect the subsequent simulation, and were investigated in the Huai River Basin. The results show reservoir storage and peak flow were generally overestimated by the original SWAT reservoir scheme ( SWAT scheme). Compared with the SWAT scheme, the MSWAT scheme successfully reduced the simulated storage and peak flow at the reservoir stations. For the downstream stations, the streamflow simulations were improved at a significance level of 5%. The performances of the MSWAT and MLFC schemes at the reservoir stations were nearly equivalent. Importantly, reservoir operation feedback to hydrologic modeling was necessary because the reservoir operation effects could not be transferred downstream without it. The streamflow simulation of a reservoir station located on a flat plain was less sensitive to feedback than that of a mountain reservoir station.

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
科研通AI6应助inRe采纳,获得10
5秒前
小枣完成签到 ,获得积分10
10秒前
量子星尘发布了新的文献求助10
20秒前
43秒前
希望天下0贩的0应助Medhanie采纳,获得10
1分钟前
1分钟前
张童鞋完成签到 ,获得积分10
1分钟前
blenx完成签到,获得积分10
1分钟前
神医magical发布了新的文献求助10
1分钟前
1分钟前
十七完成签到,获得积分10
1分钟前
在水一方完成签到,获得积分0
2分钟前
英姑应助Jojo采纳,获得30
2分钟前
inRe发布了新的文献求助10
2分钟前
王王碎冰冰应助江江采纳,获得10
2分钟前
2分钟前
英姑应助Hz1999采纳,获得10
3分钟前
3分钟前
3分钟前
Hz1999发布了新的文献求助10
3分钟前
Hz1999完成签到,获得积分20
3分钟前
Lan完成签到 ,获得积分10
3分钟前
ss关闭了ss文献求助
3分钟前
Hz1999关注了科研通微信公众号
3分钟前
3分钟前
4分钟前
fcycukvujblk发布了新的文献求助10
4分钟前
fcycukvujblk完成签到,获得积分10
4分钟前
yiyixt发布了新的文献求助10
4分钟前
5分钟前
Jojo发布了新的文献求助30
5分钟前
5分钟前
香蕉觅云应助科研通管家采纳,获得10
5分钟前
科研通AI2S应助科研通管家采纳,获得10
5分钟前
炙热的雪糕完成签到,获得积分10
6分钟前
6分钟前
6分钟前
hhhhhh完成签到,获得积分10
6分钟前
ceeray23发布了新的文献求助20
6分钟前
6分钟前
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
Encyclopedia of Reproduction Third Edition 3000
《药学类医疗服务价格项目立项指南(征求意见稿)》 1000
花の香りの秘密―遺伝子情報から機能性まで 800
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
Chemistry and Biochemistry: Research Progress Vol. 7 430
Bone Marrow Immunohistochemistry 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5628308
求助须知:如何正确求助?哪些是违规求助? 4716465
关于积分的说明 14964002
捐赠科研通 4786025
什么是DOI,文献DOI怎么找? 2555522
邀请新用户注册赠送积分活动 1516799
关于科研通互助平台的介绍 1477332