Literature DB >> 19501953

Optimal water quality monitoring network design for river systems.

Ilker T Telci1, Kijin Nam, Jiabao Guan, Mustafa M Aral.   

Abstract

Typical tasks of a river monitoring network design include the selection of the water quality parameters, selection of sampling and measurement methods for these parameters, identification of the locations of sampling stations and determination of the sampling frequencies. These primary design considerations may require a variety of objectives, constraints and solutions. In this study we focus on the optimal river water quality monitoring network design aspect of the overall monitoring program and propose a novel methodology for the analysis of this problem. In the proposed analysis, the locations of sampling sites are determined such that the contaminant detection time is minimized for the river network while achieving maximum reliability for the monitoring system performance. Altamaha river system in the State of Georgia, USA is chosen as an example to demonstrate the proposed methodology. The results show that the proposed model can be effectively used for the optimal design of monitoring networks in river systems.

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Year:  2009        PMID: 19501953     DOI: 10.1016/j.jenvman.2009.04.011

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  15 in total

1.  Seasonal rationalization of river water quality sampling locations: a comparative study of the modified Sanders and multivariate statistical approaches.

Authors:  Vikas Varekar; Subhankar Karmakar; Ramakar Jha
Journal:  Environ Sci Pollut Res Int       Date:  2015-09-26       Impact factor: 4.223

2.  Optimization of the monitoring network on the River Tisza (Central Europe, Hungary) using combined cluster and discriminant analysis, taking seasonality into account.

Authors:  Péter Tanos; József Kovács; Solt Kovács; Angéla Anda; István Gábor Hatvani
Journal:  Environ Monit Assess       Date:  2015-08-19       Impact factor: 2.513

3.  Optimization models for siting water quality monitoring stations in a catchment.

Authors:  Jehng-Jung Kao; Pei-Hao Li; Wen-Shin Hu
Journal:  Environ Monit Assess       Date:  2011-03-08       Impact factor: 2.513

4.  Design of sampling locations for river water quality monitoring considering seasonal variation of point and diffuse pollution loads.

Authors:  Vikas Varekar; Subhankar Karmakar; Ramakar Jha; N C Ghosh
Journal:  Environ Monit Assess       Date:  2015-05-26       Impact factor: 2.513

Review 5.  A survey of smart water quality monitoring system.

Authors:  Jianhua Dong; Guoyin Wang; Huyong Yan; Ji Xu; Xuerui Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2015-01-06       Impact factor: 4.223

6.  Design of water quality monitoring networks with two information scenarios in tropical Andean basins.

Authors:  Juan Carlos Bastidas; Jorge Julián Vélez; Jeannette Zambrano; Adela Londoño
Journal:  Environ Sci Pollut Res Int       Date:  2017-04-21       Impact factor: 4.223

7.  Engineering risk assessment for emergency disposal projects of sudden water pollution incidents.

Authors:  Bin Shi; Jiping Jiang; Rentao Liu; Afed Ullah Khan; Peng Wang
Journal:  Environ Sci Pollut Res Int       Date:  2017-05-04       Impact factor: 4.223

8.  Using multivariate techniques as a strategy to guide optimization projects for the surface water quality network monitoring in the Velhas river basin, Brazil.

Authors:  Giovanna Moura Calazans; Carolina Cristiane Pinto; Elizângela Pinheiro da Costa; Anna Flávia Perini; Sílvia Corrêa Oliveira
Journal:  Environ Monit Assess       Date:  2018-11-15       Impact factor: 2.513

9.  The use of multivariate statistical methods for optimization of the surface water quality network monitoring in the Paraopeba river basin, Brazil.

Authors:  Giovanna Moura Calazans; Carolina Cristiane Pinto; Elizângela Pinheiro da Costa; Anna Flávia Perini; Sílvia Corrêa Oliveira
Journal:  Environ Monit Assess       Date:  2018-07-28       Impact factor: 2.513

10.  A water quality monitoring network design using fuzzy theory and multiple criteria analysis.

Authors:  Chia-Ling Chang; You-Tze Lin
Journal:  Environ Monit Assess       Date:  2014-06-29       Impact factor: 2.513

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