Contaminant-Source Detection in a Water Distribution System Using the Ensemble Kalman Filter-Reference-Cited by-同舟云学术

Contaminant-Source Detection in a Water Distribution System Using the Ensemble Kalman Filter

Published:2021-07 Issue:7 Volume:147 Page:
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Butera Ilaria¹^ORCID,Gómez-Hernández J. Jaime²^ORCID,Nicotra Silvia³^ORCID

Affiliation:

1. Professor, Dept. of Environment, Land and Infrastructure Engineering, Politecnico di Torino, 10129 Torino, Italy. ORCID: .

2. Professor, Institute for Water and Environmental Engineering, Universitat Politècnica de València, 46022 Valencia, Spain (corresponding author). ORCID: .

3. Graduate Student, Dept. of Environment, Land and Infrastructure Engineering, Politecnico di Torino, 10129 Torino, Italy. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0001383

Reference52 articles.

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2. State of the Art Report on Mathematical Methods for Groundwater Pollution Source Identification

3. Bagtzoglou, A. C., and J. Atmadja. 2005. “Mathematical methods for hydrologic inversion: The case of pollution source identification.” In Vol. 3 of Water pollution. The handbook of environmental chemistry, 65–96, edited by T. A. Kassim. Berlin: Springer. https://doi.org/10.1007/b11442.

4. Application of particle methods to reliable identification of groundwater pollution sources

5. Recovering the Release History of a Pollutant Intrusion into a Water Supply System through a Geostatistical Approach

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