A web based tool for operational real-time flood forecasting using data assimilation to update hydraulic states

被引：22

作者：

Mure-Ravaud, Mathieu ^{[1
]}

Binet, Guillaume ^{[1
]}

Bracq, Michael ^{[2
]}

Perarnaud, Jean Jacques ^{[2
]}

Fradin, Antonin ^{[2
]}

Litrico, Xavier ^{[1
]}

机构：

[1] Ctr R&D SUEZ, LyRE, Domaine Haut Carre, 43 Rue Pierre Noailles, F-33400 Talence, France

[2] SUEZ Smart Solut, 38 Rue President Wilson, F-78230 Le Pecq, France

来源：

ENVIRONMENTAL MODELLING & SOFTWARE | 2016年 / 84卷

关键词：

Flood forecasting system; Semi-distributed hydrologic model; Stationary Kalman filter; Data assimilation; DISTRIBUTED MODEL; HYDROLOGICAL MODEL; GROUNDWATER-FLOW; RAINFALL; RIVER; RUNOFF; INTERBASIN; BASIN; WATER; INTERFACE;

D O I：

10.1016/j.envsoft.2016.06.002

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This article describes an operational flood forecasting system set up for the city of Dijon, France. This system assimilates real-time flow data at an hourly time step with the stationary Kalman filter to update hydraulic states. It uses a semi-distributed hydrologic model to integrate rainfall measurements and forecasts and provide discharge forecasts at several points on the watershed. It also offers powerful data management tools and an elaborated graphical interface available from any computer connected to the Internet. The hydrologic model was calibrated using a semi-distributed approach. Its simulation and forecasting performances are analyzed. The performances of the system on a recent flood event are also investigated. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：35 / 49

页数：15

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