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
刚刚
刚刚
安详岱周发布了新的文献求助10
1秒前
勤恳马里奥完成签到,获得积分0
1秒前
蜻蜓发布了新的文献求助10
1秒前
3秒前
英俊的铭应助小火车EL采纳,获得10
3秒前
微笑的依凝完成签到,获得积分10
3秒前
Zhao完成签到 ,获得积分10
4秒前
淡定青槐完成签到 ,获得积分10
4秒前
科目三应助sll采纳,获得10
4秒前
汪汪大王完成签到 ,获得积分10
5秒前
1101592875发布了新的文献求助10
5秒前
6秒前
半山发布了新的文献求助10
6秒前
kk发布了新的文献求助10
6秒前
7秒前
7秒前
7秒前
星辰大海应助zhang采纳,获得10
7秒前
阿浩完成签到,获得积分10
7秒前
科目三应助sadd采纳,获得10
8秒前
小二郎应助犹豫的秋凌采纳,获得10
8秒前
科研蜗牛发布了新的文献求助10
9秒前
10秒前
zz发布了新的文献求助10
11秒前
Joey完成签到,获得积分10
11秒前
丘比特应助江上采纳,获得10
11秒前
喵喵不二发布了新的文献求助10
12秒前
武雨寒发布了新的文献求助10
12秒前
Haily完成签到,获得积分10
13秒前
怡然以南完成签到 ,获得积分10
13秒前
Legend发布了新的文献求助10
13秒前
13秒前
科研通AI6.3应助hutuo123采纳,获得10
14秒前
Dear发布了新的文献求助10
14秒前
汉堡包应助Annora采纳,获得10
14秒前
安详岱周完成签到,获得积分10
15秒前
15秒前
万能图书馆应助蜻蜓采纳,获得10
15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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
The SAGE Dictionary of Qualitative Inquiry 610
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
On the Dragon Seas, a sailor's adventures in the far east 500
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6345795
求助须知:如何正确求助?哪些是违规求助? 8160459
关于积分的说明 17162158
捐赠科研通 5401910
什么是DOI,文献DOI怎么找? 2860950
邀请新用户注册赠送积分活动 1838784
关于科研通互助平台的介绍 1688145