Literature DB >> 24263705

The design of cost-effective air quality monitoring networks.

E E Pickett1, R G Whiting.   

Abstract

A statistical measure of information content is used as a means for assessing the effectiveness of a particular monitoring network configuration. This measure is directly related to the precision with which the network can estimate the level of air quality in the region. Each potential site in the network can contribute to an increase in the overall precision of the estimate. The amount of increase is determined by the degree of dependence, displayed by observed pollutant concentrations, between potential sites.A statistical procedure is used to combine the observed pollution dynamics and the measurement network in order to assess network effectiveness. An iterative application of this procedure leads to the design of the most effective network subject to a specified budget constraint.

Year:  1981        PMID: 24263705     DOI: 10.1007/BF00836876

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  5 in total

1.  The use of simple kinetic models to help design environmental monitoring systems.

Authors:  G B Wiersma; C W Frank; M J Case; A B Crockett
Journal:  Environ Monit Assess       Date:  1984-09       Impact factor: 2.513

2.  Advantages and challenges of the implementation of a low-cost particulate matter monitoring system as a decision-making tool.

Authors:  Víctor Caquilpán P; Gabriel Aros G; Sebastián Elgueta A; Rodrigo Díaz S; Gonzalo Sepúlveda K; Carlos Sierralta J
Journal:  Environ Monit Assess       Date:  2019-10-24       Impact factor: 2.513

3.  Spatial concentration distributions of sulfur dioxide and nitrogen oxides in Patras, Greece, in a winter period.

Authors:  Panayotis C Yannopoulos
Journal:  Environ Monit Assess       Date:  2007-03-07       Impact factor: 2.513

4.  Multicriteria relocation analysis of an off-site radioactive monitoring network for a nuclear power plant.

Authors:  Ni-Bin Chang; Shu-Kuang Ning; Jen-Chang Chen
Journal:  Environ Manage       Date:  2006-08       Impact factor: 3.644

5.  A data-driven approach for optimal design of integrated air quality monitoring network in a chemical cluster.

Authors:  Zhengqiu Zhu; Bin Chen; Sihang Qiu; Rongxiao Wang; Yiping Wang; Liang Ma; Xiaogang Qiu
Journal:  R Soc Open Sci       Date:  2018-09-05       Impact factor: 2.963

  5 in total

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