A multi-objective approach to improve SWAT model calibration in alpine catchments

校准 水文学(农业) 地表径流 水文模型 分水岭 水流 蒸散量 流域水文 过程线
作者
Ye Tuo,Giorgia Marcolini,Markus Disse,Gabriele Chiogna
出处
期刊:Journal of Hydrology [Elsevier BV]
卷期号:559: 347-360 被引量:35
标识
DOI:10.1016/j.jhydrol.2018.02.055
摘要

Abstract Multi-objective hydrological model calibration can represent a valuable solution to reduce model equifinality and parameter uncertainty. The Soil and Water Assessment Tool (SWAT) model is widely applied to investigate water quality and water management issues in alpine catchments. However, the model calibration is generally based on discharge records only, and most of the previous studies have defined a unique set of snow parameters for an entire basin. Only a few studies have considered snow observations to validate model results or have taken into account the possible variability of snow parameters for different subbasins. This work presents and compares three possible calibration approaches. The first two procedures are single-objective calibration procedures, for which all parameters of the SWAT model were calibrated according to river discharge alone. Procedures I and II differ from each other by the assumption used to define snow parameters: The first approach assigned a unique set of snow parameters to the entire basin, whereas the second approach assigned different subbasin-specific sets of snow parameters to each subbasin. The third procedure is a multi-objective calibration, in which we considered snow water equivalent (SWE) information at two different spatial scales (i.e. subbasin and elevation band), in addition to discharge measurements. We tested these approaches in the Upper Adige river basin where a dense network of snow depth measurement stations is available. Only the set of parameters obtained with this multi-objective procedure provided an acceptable prediction of both river discharge and SWE. These findings offer the large community of SWAT users a strategy to improve SWAT modeling in alpine catchments.
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
橙子完成签到,获得积分10
1秒前
火星上妙菱完成签到,获得积分20
1秒前
情怀应助TGJ采纳,获得10
1秒前
33499083完成签到,获得积分20
1秒前
2秒前
比比拉布发布了新的文献求助10
2秒前
桐桐应助33499083采纳,获得10
3秒前
peng完成签到,获得积分10
4秒前
4秒前
ecchen发布了新的文献求助10
5秒前
科研通AI2S应助羊羊羊采纳,获得10
5秒前
谢超完成签到,获得积分10
6秒前
wlywdb完成签到,获得积分10
6秒前
6秒前
2018夏之旅完成签到,获得积分10
6秒前
7秒前
8秒前
一只鱼的故事完成签到,获得积分10
8秒前
Sept完成签到,获得积分10
8秒前
qikewu完成签到,获得积分20
9秒前
zzzz发布了新的文献求助10
9秒前
9秒前
10秒前
风清月莹完成签到,获得积分10
10秒前
池鱼完成签到,获得积分10
10秒前
11秒前
11秒前
隐形曼青应助Starry采纳,获得10
12秒前
12秒前
qikewu发布了新的文献求助10
12秒前
xiaolizi发布了新的文献求助10
12秒前
乔治韦斯莱完成签到 ,获得积分10
13秒前
13秒前
13秒前
小二郎应助MikL采纳,获得10
13秒前
hanzhenzhen发布了新的文献求助10
13秒前
13秒前
13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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Evidence Summary. Injection (subcutaneous):op- timal administration 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
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 7498147
求助须知:如何正确求助?哪些是违规求助? 9088902
关于积分的说明 19386325
捐赠科研通 7108529
什么是DOI,文献DOI怎么找? 3250352
关于科研通互助平台的介绍 2419805
邀请新用户注册赠送积分活动 2236135