Considerations on air pollution monitoring network design in the light of spatio-temporal variations of data

Shindo, Junko; Oi, Ko; Matsumoto, Yukio

doi:10.1016/0957-1272(90)90040-2

Cited by 10 publications

(10 citation statements)

References 14 publications

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“…Spatial and temporal information has been used in the opposite manner to select sites in the optimal design of air monitoring networks (e.g. Shindo et al, 1990). Results obtained in the case studies imply that monitoring observations, to varying degrees, are redundant in providing site-specific information since observations at some sites can be used to predict concentrations at other sites.…”

Section: Discussionmentioning

confidence: 99%

Optimal estimators for ambient air quality levels

Batterman¹

1992

Atmospheric Environment. Part A. General Topics

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Procedures to estimate missing data, determine extrema, and derive uncertainties for data collected in ambient air monitoring networks are presented. The optimal linear estimators used obtain unbiased, minimum variance results based on the temporal and spatial correlation of the data and estimates of sample uncertainty. The first estimator interpolates missing data. The second estimator derives extrema, e.g. minimum and maximum concentrations, from the completed data set. Together the estimators can be used to check the validity of monitored observations, identify outliers, and estimate regional and local components of pollutant levels. The estimators are evaluated using data collected in urban air quality monitoring networks in Houston, Philadelphia and

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Section: Discussionmentioning

confidence: 99%

Optimal estimators for ambient air quality levels

Batterman¹

1992

Atmospheric Environment. Part A. General Topics

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“…Benefits of such plant aggregations include but are not limit to: (1) it is convenient and economic to built, utilize, and share common infrastructures and utility supplies; (2) it enables cost-effectively exchanging material, energy, and information among different plants; (3) it makes viable and cost-effective to manage local resource and environment. 1 It should be noted that chemical industrial zones are usually developing in a dynamic mode.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Optimization for Air-Quality Monitoring Network Design

Chen

Wang

2015

Ind. Eng. Chem. Res.

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For an industrial zone where petrochemical and chemical plants are heavily populated, the design of an effective air-quality monitoring network (AQMN) is very important for local environmental and industrial sustainability. In this paper, a general methodology with multiobjective and deterministic optimization for AQMN design/redesign is developed. Generally, Gaussian dispersion model is employed to create spatial pollution distributions according to historical meteorological conditions and updated emission source profiles. After that, a multiobjective mixed-integer linear programming (MILP) model is developed to optimally design an AQMN, which allows the relocation of existing monitoring stations and/or the addition of new monitoring stations. The optimization will maximize the detectable air-quality threshold violation frequency (AQTVF) for potential pollution events in the studied industrial zone, as well as minimize the total budget cost for the AQMN implementation with considerations of existing monitoring station relocation, new station construction, and land uses with different prices at different locations. The Pareto frontier of AQTVF vs. total budget cost will be also provided for final decision making. The proposed methodology can be used to design a new AQMN from the scratch or to retrofit an existing AQMN to monitor regional air quality more effectively.Multiple case studies are employed to demonstrate its efficacy.

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“…It is therefore not surprising that in recent years most research efforts in the field have attempted to explore the relationships between the concentrations of pollutants, mainly tropospheric, and different meteorological parameters. In this context, studies have been carried out by Fidalgo et al (1989) for Salamanca; Shindo et al (1990) for Japan; Pandey et al (1992) for Varanasi (India); and Herrero et al (1996) for Palencia (Spain), among others.…”

Section: Introductionmentioning

confidence: 99%