Development of a Contaminant Distribution Model for Water Supply Systems

被引:3
|
作者
Adedoja, Oluwaseye S. [1 ]
Hamam, Yskandar [1 ,2 ]
Khalaf, Baset [1 ]
Sadiku, Rotimi [3 ]
机构
[1] Tshwane Univ Technol, Dept Elect Engn, French South African Inst Technol FSATI, ZA-0001 Pretoria, South Africa
[2] Ecole Super Ingn Electrotech & Elect, 2 Blvd Blaise Pascal, F-93160 Paris, France
[3] Tshwane Univ Technol, Dept Chem Met & Mat Engn, Inst NanoEngn Res INER, ZA-0001 Pretoria, South Africa
来源
WATER | 2019年 / 11卷 / 07期
关键词
contaminant distribution model; hydraulic analysis; superimposing; novel scheme; SOURCE IDENTIFICATION; DISTRIBUTION NETWORKS; BAYESIAN-APPROACH; MILWAUKEE; OUTBREAK; STATIONS; LAYOUT;
D O I
10.3390/w11071510
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Water contamination can result in serious health complications and gross socioeconomic implications. Therefore, identifying the source of contamination is of great concern to researchers and water operators, particularly, to avert the unfavorable consequences that can ensue from consuming contaminated water. As part of the effort to address this challenge, this present study proposes a novel contaminant distribution model for water supply systems. The concept of superimposing the contaminant over the hydraulic analysis was used to develop the proposed model. Four water sample networks were used to test the performance of the proposed model. The results obtained displayed the contaminant distributions across the water network at a limited computational time. Apart from being the first in this domain, the significant reduction of computational time achieved by the proposed model is a major contribution to the field.
引用
收藏
页数:23
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