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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 dendrogram of the hierarchical clustering method for monitoring sites.The hierarchical clustering method was used to select the monitoring sites, and besides the five same sites shown in Table 3, another two sites: 1616 and 839 were selected.
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pone.0123766.g004: The dendrogram of the hierarchical clustering method for monitoring sites.The hierarchical clustering method was used to select the monitoring sites, and besides the five same sites shown in Table 3, another two sites: 1616 and 839 were selected.

Mentions: To test the rationality of this method, the hierarchical clustering method in SPSS 19 was used to analyze the data in Table 1 [25, 26]. The relationship among the sites was evaluated based on Euclidean distance of the PSI at each site using the between-groups linkage method. A cluster dendrogram was drawn (Fig 4), and the sites could be classified into five types: Site 114, 1761 and 1932 were the same type; Site 1889 was a single type; and Site 2304 was a single type. Two other types represented by a single site were Sites 1616 and 839, whose latitude and longitude are shown in Table 4. The actual locations of these five types of sites are shown in Fig 3B. Compared with Fig 3A, in Fig 3B, only two alternative positions of monitoring sites were added by the hierarchical clustering method, and the locations of other sites did not change. Therefore, there is no radical change between the hierarchical clustering method and fuzzy matter-element analysis. In fact, when the coordinates of the sites selected by the two methods were input into GIS, the classifications according to these two methods were similar (Fig 4). In these five types of sites classified by the hierarchical clustering method, the actual locations of sites within the same type were adjacent, such as for Sites 1663 and 1682. Thus, in the actual selection of monitoring sites, it is proposed that fuzzy matter-element analysis and hierarchical clustering method should be comprehensively combined with actual conditions to select the sites. The monitoring agency can establish the mobile platforms to constantly ensure that the range of moving and sampling are within the sites selected by these two methods.


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 dendrogram of the hierarchical clustering method for monitoring sites.The hierarchical clustering method was used to select the monitoring sites, and besides the five same sites shown in Table 3, another two sites: 1616 and 839 were selected.
© Copyright Policy
Related In: Results  -  Collection

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

pone.0123766.g004: The dendrogram of the hierarchical clustering method for monitoring sites.The hierarchical clustering method was used to select the monitoring sites, and besides the five same sites shown in Table 3, another two sites: 1616 and 839 were selected.
Mentions: To test the rationality of this method, the hierarchical clustering method in SPSS 19 was used to analyze the data in Table 1 [25, 26]. The relationship among the sites was evaluated based on Euclidean distance of the PSI at each site using the between-groups linkage method. A cluster dendrogram was drawn (Fig 4), and the sites could be classified into five types: Site 114, 1761 and 1932 were the same type; Site 1889 was a single type; and Site 2304 was a single type. Two other types represented by a single site were Sites 1616 and 839, whose latitude and longitude are shown in Table 4. The actual locations of these five types of sites are shown in Fig 3B. Compared with Fig 3A, in Fig 3B, only two alternative positions of monitoring sites were added by the hierarchical clustering method, and the locations of other sites did not change. Therefore, there is no radical change between the hierarchical clustering method and fuzzy matter-element analysis. In fact, when the coordinates of the sites selected by the two methods were input into GIS, the classifications according to these two methods were similar (Fig 4). In these five types of sites classified by the hierarchical clustering method, the actual locations of sites within the same type were adjacent, such as for Sites 1663 and 1682. Thus, in the actual selection of monitoring sites, it is proposed that fuzzy matter-element analysis and hierarchical clustering method should be comprehensively combined with actual conditions to select the sites. The monitoring agency can establish the mobile platforms to constantly ensure that the range of moving and sampling are within the sites selected by these two methods.

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