Improving PMF source reconciliation with cluster analysis for PM2.5 hourly data from Seoul, Korea

Park, Jong-Moon; Lee, Tae-Jung; Kim, Dong-Sool

doi:10.1016/j.apr.2022.101398

Cited by 9 publications

(1 citation statement)

References 38 publications

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“…Sisman and Aydinoglu [13] improves the performance of large national real estate valuation by applying dataset optimisation and spatially constrained multivariate clustering analysis, which defines geographic value clusters to improve valuation accuracy. Park et al [14] improved the PMF model through cluster analysis, and the improved source coordination process allowed for more sources, clearly specified ambiguous sources, and the identification of secondary sources for specific sites. For variable clustering, it is necessary to define the degree of intimacy between variables, give a measure of the similarity between variables, and then define the variable distance, and then select a clustering technique to cluster the variables.…”

Section: Overview Of Variable Clusteringmentioning

confidence: 99%

Research on the optimisation of logistics parcel intelligent sorting and conveying chain combined with variable clustering mathematical method

Yan

Huang

2022

Applied Mathematics and Nonlinear Sciences

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The rapid development of China’s economy, especially the rapid rise of the logistics and distribution industry in recent years, coupled with the rise of e-commerce in recent years, has created a huge impact on the traditional logistics industry. Aiming at the sorting system of small and medium-sized logistics distribution centrer, this paper proposes an item allocation strategy based on customer demand in combination with practical application requirements and adopts the direct dynamic clustering algorithm based on hierarchical clustering. As a clustering index, all items in the distribution centre are clustered and the final clustering result is obtained. The results show that the maximum value of segmentation using the single connection method is 5.8, reflecting that the distribution distance is more advantageous; the maximum value of the segmentation method using the median method is 2.94, and the minimum value is 2.35, which reflects that the result of the algorithm is relatively uniform. A reasonable item allocation strategy has a certain positive effect and influence on the development of modern logistics and the service quality of the logistics industry.

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Section: Overview Of Variable Clusteringmentioning

confidence: 99%

Research on the optimisation of logistics parcel intelligent sorting and conveying chain combined with variable clustering mathematical method

Yan

Huang

2022

Applied Mathematics and Nonlinear Sciences

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Regional classification of high PM10 concentrations in the Seoul metropolitan and Chungcheongnam-do areas, Republic of Korea

Choi,

Song,

Kim

et al. 2023

Environ Monit Assess

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Since the Seoul metropolitan area is a highly developed megacity, many people are often exposed to high concentrations of particulate matter (PM), with mean aerodynamic diameters equal to or less than 10 μm (PM10), in cold seasons. PM10 concentrations can be influenced by a combination of various factors, including meteorological conditions, anthropogenic emissions, atmospheric chemical reactions, transboundary transport, and geographic characteristics. However, the establishment of an efficient air quality management plan remains challenging due to the limited understanding of the regional PM concentration characteristics. Here, the Seoul metropolitan (Seoul, Gyeonggi-do, and Incheon) and Chungcheongnam-do (Chungcheongnam-do, Daejeon, and Sejong) areas were regionally classified to identify the spatiotemporal air quality in areas where megacities and emission sources are mixed. The four representative regions were determined using the K-means clustering method based on the temporal variations in the observed PM10 concentrations. The first cluster consisted of small cities in the southern and eastern parts of Gyeonggi-do and Chungcheongnam-do, respectively, while the second cluster consisted of Incheon, West Gyeonggi-do, and Seoul. In addition, the third and fourth clusters included West Chungcheongnam-do and East Gyeonggi-do, which are adjacent to the Yellow Sea and downstream area of the westerly wind, respectively. The characteristics of each cluster during the high PM10 concentration events are explainable by wind patterns and the local air pollutant emissions, including nitrogen oxides and sulfur oxides. The obtained regional classification was different from the provincial-level administrative division of South Korea. Therefore, the present study is expected to be a scientific basis for overcoming the limitations of air quality management in administrative districts.

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Unveiling air pollution patterns in Yemen: a spatial–temporal functional data analysis

Hael

2023

Environ Sci Pollut Res

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Improving PMF source reconciliation with cluster analysis for PM2.5 hourly data from Seoul, Korea

Cited by 9 publications

References 38 publications

Research on the optimisation of logistics parcel intelligent sorting and conveying chain combined with variable clustering mathematical method

Research on the optimisation of logistics parcel intelligent sorting and conveying chain combined with variable clustering mathematical method

Regional classification of high PM10 concentrations in the Seoul metropolitan and Chungcheongnam-do areas, Republic of Korea

Unveiling air pollution patterns in Yemen: a spatial–temporal functional data analysis

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