Evaluation of Maximum a Posteriori Estimation as Data Assimilation Method for Forecasting Infiltration-Inflow Affected Urban Runoff with Radar Rainfall Input

Evaluation of Maximum a Posteriori Estimation as Data Assimilation Method for Forecasting Infiltration-Inflow Affected Urban Runoff with Radar Rainfall Input

High quality on-line flow forecasts are useful for real-time operation of urban drainage systems and wastewater treatment plants. This requires computationally efficient models, which are continuously updated with observed data to provide good initial conditions for the forecasts. This paper present...

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Bibliographic Details
Main Authors: Jonas W. Pedersen, Nadia S. V. Lund, Morten Borup, Roland Löwe, Troels S. Poulsen, Peter S. Mikkelsen, Morten Grum
Format: Article
Language:English
Published: MDPI AG 2016-09-01
Series:Water
Subjects:
real-time control
flow forecasting
data assimilation
auto-calibration
Maximum a Posteriori estimation
linear reservoir models
urban drainage systems
Online Access:http://www.mdpi.com/2073-4441/8/9/381

Internet

http://www.mdpi.com/2073-4441/8/9/381

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