Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2018WR024266 |
A Regularization Approach to Improve the Sequential Calibration of a Semidistributed Hydrological Model | |
de Lavenne, A.1,2; Andreassian, V.1; Thirel, G.1; Ramos, M. -H.1; Perrin, C.1 | |
2019-11-11 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
文章类型 | Article;Early Access |
语种 | 英语 |
国家 | France; Sweden |
英文摘要 | In semidistributed hydrological modeling, sequential calibration usually refers to the calibration of a model by considering not only the flows observed at the outlet of a catchment but also the different gauging points inside the catchment from upstream to downstream. While sequential calibration aims to optimize the performance at these interior gauged points, we show that it generally fails to improve performance at ungauged points. In this paper, we propose a regularization approach for the sequential calibration of semidistributed hydrological models. It consists in adding a priori information on optimal parameter sets for each modeling unit of the semidistributed model. Calibration iterations are then performed by jointly maximizing simulation performance and minimizing drifts from the a priori parameter sets. The combination of these two sources of information is handled by a parameter k to which the method is quite sensitive. The method is applied to 1,305 catchments in France over 30 years. The leave-one-out validation shows that, at locations considered as ungauged, model simulations are significantly improved (over all the catchments, the median KGE criterion is increased from 0.75 to 0.83 and the first quartile from 0.35 to 0.66), while model performance at gauged points is not significantly impacted by the use of the regularization approach. Small catchments benefit most from this calibration strategy. These performances are, however, very similar to the performances obtained with a lumped model based on similar conceptualization. |
英文关键词 | semidistributed model stepwise calibration regularization ungauged basins |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000495638800001 |
WOS关键词 | PARAMETER-ESTIMATION ; REGIONALIZATION METHODS ; STREAMFLOW SIMULATION ; SENSITIVITY-ANALYSIS ; EXPERT KNOWLEDGE ; CATCHMENT MODEL ; RIVER-BASIN ; PREDICTIONS ; RESOLUTION ; CONSTRUCTION |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/223885 |
专题 | 资源环境科学 |
作者单位 | 1.Irstea, HYCAR Res Unit, Antony, France; 2.SMHI, Norrkoping, Sweden |
推荐引用方式 GB/T 7714 | de Lavenne, A.,Andreassian, V.,Thirel, G.,et al. A Regularization Approach to Improve the Sequential Calibration of a Semidistributed Hydrological Model[J]. WATER RESOURCES RESEARCH,2019. |
APA | de Lavenne, A.,Andreassian, V.,Thirel, G.,Ramos, M. -H.,&Perrin, C..(2019).A Regularization Approach to Improve the Sequential Calibration of a Semidistributed Hydrological Model.WATER RESOURCES RESEARCH. |
MLA | de Lavenne, A.,et al."A Regularization Approach to Improve the Sequential Calibration of a Semidistributed Hydrological Model".WATER RESOURCES RESEARCH (2019). |
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