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Selection of Atmospheric Environmental Monitoring Sites based on Geographic Parameters Extraction of GIS and Fuzzy Matter-Element Analysis.

Wu J, Peng D, Ma J, Zhao L, Sun C, Ling H - PLoS ONE (2015)

Bottom Line: To effectively monitor the atmospheric quality of small-scale areas, it is necessary to optimize the locations of the monitoring sites.An actual case was tested, and the results showed that 5 positions can be used for monitoring, and the locations conformed to the technical standard.In contrast to traditional methods, this study monitors the isolated point pollutant source within a small range, which can reduce the cost of monitoring.

View Article: PubMed Central - PubMed

Affiliation: College of Automation, Harbin Engineering University, Harbin, Heilongjiang, China.

ABSTRACT
To effectively monitor the atmospheric quality of small-scale areas, it is necessary to optimize the locations of the monitoring sites. This study combined geographic parameters extraction by GIS with fuzzy matter-element analysis. Geographic coordinates were extracted by GIS and transformed into rectangular coordinates. These coordinates were input into the Gaussian plume model to calculate the pollutant concentration at each site. Fuzzy matter-element analysis, which is used to solve incompatible problems, was used to select the locations of sites. The matter element matrices were established according to the concentration parameters. The comprehensive correlation functions KA (xj) and KB (xj), which reflect the degree of correlation among monitoring indices, were solved for each site, and a scatter diagram of the sites was drawn to determine the final positions of the sites based on the functions. The sites could be classified and ultimately selected by the scatter diagram. An actual case was tested, and the results showed that 5 positions can be used for monitoring, and the locations conformed to the technical standard. In the results of this paper, the hierarchical clustering method was used to improve the methods. The sites were classified into 5 types, and 7 locations were selected. Five of the 7 locations were completely identical to the sites determined by fuzzy matter-element analysis. The selections according to these two methods are similar, and these methods can be used in combination. In contrast to traditional methods, this study monitors the isolated point pollutant source within a small range, which can reduce the cost of monitoring.

No MeSH data available.


Related in: MedlinePlus

The positions of monitoring sites.(A) The actual positions of monitoring sites determined using fuzzy matter-element analysis. (B) The actual positions of monitoring sites that were improved using the hierarchical clustering method. The methods shown in (A) and (B) provide similar results.
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pone.0123766.g003: The positions of monitoring sites.(A) The actual positions of monitoring sites determined using fuzzy matter-element analysis. (B) The actual positions of monitoring sites that were improved using the hierarchical clustering method. The methods shown in (A) and (B) provide similar results.

Mentions: As shown in Fig 2, the distance between the coordinate axis and Site 2304 was the greatest. Site 2304 most accurately represents KA(xj) (the optimal values); therefore, it should be selected as a monitoring site. The distances between the coordinate axis and Sites 114, 1761 and 1932 were the greatest. These sites most accurately represent KB(xj) (the worst values); therefore, they should be selected as monitoring sites. Near the origin, the distance between Site 1889 and the origin was the shortest, indicating that the data from this site could be most easily transformed into either the optimal value or the worst value. Thus, this site should also be selected as a monitoring site. The analytical geometry coordinates, latitude and longitude of all the selected monitoring sites are shown in Table 3, and the specific locations are shown in Fig 3A. The technical standard stipulates that the range of monitoring sites can expand to a radius of 500–4000 meters in consideration of the impact of high-elevation point sources on concentrations on the ground. As shown in Table 3, the distance between the sites selected and pollution sources is generally in accord with the national standard; thus, the selection is reasonable.


Selection of Atmospheric Environmental Monitoring Sites based on Geographic Parameters Extraction of GIS and Fuzzy Matter-Element Analysis.

Wu J, Peng D, Ma J, Zhao L, Sun C, Ling H - PLoS ONE (2015)

The positions of monitoring sites.(A) The actual positions of monitoring sites determined using fuzzy matter-element analysis. (B) The actual positions of monitoring sites that were improved using the hierarchical clustering method. The methods shown in (A) and (B) provide similar results.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4414522&req=5

pone.0123766.g003: The positions of monitoring sites.(A) The actual positions of monitoring sites determined using fuzzy matter-element analysis. (B) The actual positions of monitoring sites that were improved using the hierarchical clustering method. The methods shown in (A) and (B) provide similar results.
Mentions: As shown in Fig 2, the distance between the coordinate axis and Site 2304 was the greatest. Site 2304 most accurately represents KA(xj) (the optimal values); therefore, it should be selected as a monitoring site. The distances between the coordinate axis and Sites 114, 1761 and 1932 were the greatest. These sites most accurately represent KB(xj) (the worst values); therefore, they should be selected as monitoring sites. Near the origin, the distance between Site 1889 and the origin was the shortest, indicating that the data from this site could be most easily transformed into either the optimal value or the worst value. Thus, this site should also be selected as a monitoring site. The analytical geometry coordinates, latitude and longitude of all the selected monitoring sites are shown in Table 3, and the specific locations are shown in Fig 3A. The technical standard stipulates that the range of monitoring sites can expand to a radius of 500–4000 meters in consideration of the impact of high-elevation point sources on concentrations on the ground. As shown in Table 3, the distance between the sites selected and pollution sources is generally in accord with the national standard; thus, the selection is reasonable.

Bottom Line: To effectively monitor the atmospheric quality of small-scale areas, it is necessary to optimize the locations of the monitoring sites.An actual case was tested, and the results showed that 5 positions can be used for monitoring, and the locations conformed to the technical standard.In contrast to traditional methods, this study monitors the isolated point pollutant source within a small range, which can reduce the cost of monitoring.

View Article: PubMed Central - PubMed

Affiliation: College of Automation, Harbin Engineering University, Harbin, Heilongjiang, China.

ABSTRACT
To effectively monitor the atmospheric quality of small-scale areas, it is necessary to optimize the locations of the monitoring sites. This study combined geographic parameters extraction by GIS with fuzzy matter-element analysis. Geographic coordinates were extracted by GIS and transformed into rectangular coordinates. These coordinates were input into the Gaussian plume model to calculate the pollutant concentration at each site. Fuzzy matter-element analysis, which is used to solve incompatible problems, was used to select the locations of sites. The matter element matrices were established according to the concentration parameters. The comprehensive correlation functions KA (xj) and KB (xj), which reflect the degree of correlation among monitoring indices, were solved for each site, and a scatter diagram of the sites was drawn to determine the final positions of the sites based on the functions. The sites could be classified and ultimately selected by the scatter diagram. An actual case was tested, and the results showed that 5 positions can be used for monitoring, and the locations conformed to the technical standard. In the results of this paper, the hierarchical clustering method was used to improve the methods. The sites were classified into 5 types, and 7 locations were selected. Five of the 7 locations were completely identical to the sites determined by fuzzy matter-element analysis. The selections according to these two methods are similar, and these methods can be used in combination. In contrast to traditional methods, this study monitors the isolated point pollutant source within a small range, which can reduce the cost of monitoring.

No MeSH data available.


Related in: MedlinePlus