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Real-Time Water Quality Modeling with Ensemble Kalman Filter for State and Parameter Estimation in Water Distribution Networks

Rajakumar, Anjana G and Kumar, M S Mohan and Amrutur, Bharadwaj and Kapelan, Zoran (2019) Real-Time Water Quality Modeling with Ensemble Kalman Filter for State and Parameter Estimation in Water Distribution Networks. In: JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 145 (11).

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Official URL: https://dx.doi.org/10.1061/(ASCE)WR.1943-5452.0001...


This study presents a novel approach to real-time water quality state (chlorine concentration) and reaction parameter estimation in water distribution systems (WDSs) using ensemble Kalman filter (EnKF)-based data assimilation techniques. Two different types of EnKF-based methods are used in this study: noniterative restart-EnKF (NIR-EnKF) and iterative restart-EnKF (IR-EnKF). The use of these data assimilation frameworks for addressing key uncertainties in water quality models, such as uncertainty in the source or initial concentration of chlorine and uncertainty in the wall reaction parameter, is studied. The effect of ensemble size, number and location of measurement nodes, measurement error, and noise are also studied extensively in this work. The performance of the proposed methodology is tested on two different water networks: a brushy plains network and a large, citywide WDS, the Bangalore inflow network. The results of the simulation study show that both the NIR-EnKF and IR-EnKF methods are appropriate for dealing with uncertainty in source chlorine concentration, but the IR-EnKF method performs better than the NIR-EnKF method in the case of reaction parameter uncertainty.

Item Type: Journal Article
Additional Information: copyright for this article belongs to ASCE-AMER SOC CIVIL ENGINEERS
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Division of Interdisciplinary Sciences > Interdisciplinary Centre for Water Research
Division of Interdisciplinary Sciences > Robert Bosch Centre for Cyber Physical Systems
Division of Mechanical Sciences > Civil Engineering
Date Deposited: 31 Oct 2019 06:06
Last Modified: 31 Oct 2019 06:06
URI: http://eprints.iisc.ac.in/id/eprint/63705

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