Model based investigation of transport phenomena in water distribution networks for contamination scenarios

被引：4

作者：

Braun, M. ^{[2
]}

Bernard, T. ^{[2
]}

Ung, H. ^{[1
]}

Piller, O. ^{[1
]}

Gilbert, D. ^{[1
]}

机构：

[1] Irstea, 50 Ave Verdun, F-33612 Cestas, France

[2] Fraunhofer IOSB, D-76131 Karlsruhe, Germany

来源：

12TH INTERNATIONAL CONFERENCE ON COMPUTING AND CONTROL FOR THE WATER INDUSTRY, CCWI2013 | 2014年 / 70卷

关键词：

Water Distribution Networks; CFD; transport model; T-junction mixing; cross-junction mixing; axial propagation model;

D O I：

10.1016/j.proeng.2014.02.022

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Water distribution networks (WDNs) are critical infrastructures that are exposed to deliberate or accidental contaminations. The project SMaRT-Online(WDN) aims to develop an online security management and reliability toolkit for water distribution networks. One task focuses on the contaminant transport modeling. This paper deals with modeling transport processes at T- and cross-junctions. The mixing model depends on the flow conditions, the pipe condition and the crossing geometry. Preliminary results will be presented using computer fluid dynamic (CFD) for 2D and 3D modeling of transport processes for different flow conditions. These results are evaluated in comparison to existing mixing and propagation models. (C) 2013 The Authors. Published by Elsevier Ltd.

引用

页码：191 / 200

页数：10

共 50 条

[31] Contamination Detection in Drinking Water Distribution Systems Using Sensor Networks
Lambrou, Theofanis P.
Panayiotou, Christos G.
Polycarpou, Marios M.
2015 EUROPEAN CONTROL CONFERENCE (ECC), 2015, : 3298 - 3303
[32] Control of Lead Contamination in Water Distribution Networks: A Dynamic Optimization Framework
Maheshwari, Abhilasha
Abokifa, Ahmed
Gudi, Ravindra
Biswas, Pratim
IFAC PAPERSONLINE, 2020, 53 (01): : 277 - 282
[33] Actuator network design to mitigate contamination effects in Water Distribution Networks
Palleti, Venkata Reddy
Kurian, Varghese
Narasimhan, Shankar
Rengaswamy, Raghunathan
COMPUTERS & CHEMICAL ENGINEERING, 2018, 108 : 194 - 205
[34] Collaborative Heterogeneous Sensing: An Application to Contamination Detection in Water Distribution Networks
Pal, Amitangshu
Kant, Krishna
24TH INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS AND NETWORKS ICCCN 2015, 2015,
[35] Contamination source detection in water distribution networks using belief propagation
Ernesto Ortega
Alfredo Braunstein
Alejandro Lage-Castellanos
Stochastic Environmental Research and Risk Assessment, 2020, 34 : 493 - 511
[36] Predicting the spread of contamination in water distribution networks laid on sloping terrains
Jamil, Rehan
Aziz, Hamidi Abdul
Murshed, Mohamad Fared
KUWAIT JOURNAL OF SCIENCE, 2024, 51 (04)
[37] Sensor Placement Methods for Contamination Detection in Water Distribution Networks: a Review
Rathi, S.
Gupta, R.
16TH WATER DISTRIBUTION SYSTEM ANALYSIS CONFERENCE (WDSA2014): URBAN WATER HYDROINFORMATICS AND STRATEGIC PLANNING, 2014, 89 : 181 - 188
[38] Investigating the Impacts of Water Conservation on Water Quality in Distribution Networks Using an Advection-Dispersion Transport Model
Abokifa, Ahmed A.
Xing, Lu
Sela, Lina
WATER, 2020, 12 (04)
[39] GA based multi-objective sensor placement approach for contamination detection in water distribution networks
Rathil, Shweta
Santhini, S.
Gupta, Rajesh
WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2015: FLOODS, DROUGHTS, AND ECOSYSTEMS, 2015, : 745 - 754
[40] A contamination source identification model for water distribution system security
Preis, A.
Ostfeld, A.
ENGINEERING OPTIMIZATION, 2007, 39 (08) : 941 - 951

← 1 2 3 4 5 →