Spatial clustering based meteorological fields construction for regional vulnerability assessment

Taemin Lee; Woosung Choi; Jongryuel Sohn; Kyongwhan Moon; Sanghoon Byeon; Wookyun Lee; Soonyoung Jung

doi:10.18517/ijaseit.8.4-2.5759

Spatial clustering based meteorological fields construction for regional vulnerability assessment

Taemin Lee, Woosung Choi, Jongryuel Sohn, Kyongwhan Moon, Sanghoon Byeon, Wookyun Lee, Soonyoung Jung

Research output: Contribution to journal › Article › peer-review

Abstract

Chemical accidents have affected the social-environmental system. For the regional vulnerability assessment, which is the baseline work to assess the impact on the environment, a meteorological field is needed to determine how chemicals from multiple adjacent companies are propagated. In this study, we present the method of meteorological field based on the spatial cluster which is the main component of vulnerability assessment on regional chemical accident scenario. To integrate spatially dense chemical companies into a cluster, we adopt spatial clustering algorithms. Experiment result shows that DBSCAN-based approach reduces 80.5% total area of the meteorological field against brute-force algorithm, and shows good performance on the average of the overlap ratio, and utility ratio for clustering results.

Original language	English
Pages (from-to)	1686-1691
Number of pages	6
Journal	International Journal on Advanced Science, Engineering and Information Technology
Volume	8
Issue number	4-2
DOIs	https://doi.org/10.18517/ijaseit.8.4-2.5759
Publication status	Published - 2018

Keywords

DBSCAN
Meteorological field
Spatial clustering
Vulnerability assessment

ASJC Scopus subject areas

Computer Science(all)
Agricultural and Biological Sciences(all)
Engineering(all)

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10.18517/ijaseit.8.4-2.5759

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Spatial clustering based meteorological fields construction for regional vulnerability assessment. / Lee, Taemin; Choi, Woosung; Sohn, Jongryuel ; Moon, Kyongwhan ; Byeon, Sanghoon ; Lee, Wookyun ; Jung, Soonyoung.

In: International Journal on Advanced Science, Engineering and Information Technology, Vol. 8, No. 4-2, 2018, p. 1686-1691.

Research output: Contribution to journal › Article › peer-review

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abstract = "Chemical accidents have affected the social-environmental system. For the regional vulnerability assessment, which is the baseline work to assess the impact on the environment, a meteorological field is needed to determine how chemicals from multiple adjacent companies are propagated. In this study, we present the method of meteorological field based on the spatial cluster which is the main component of vulnerability assessment on regional chemical accident scenario. To integrate spatially dense chemical companies into a cluster, we adopt spatial clustering algorithms. Experiment result shows that DBSCAN-based approach reduces 80.5% total area of the meteorological field against brute-force algorithm, and shows good performance on the average of the overlap ratio, and utility ratio for clustering results.",

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note = "Funding Information: This subject is supported by Korea Ministry of Environment(MOE) as {"}The Chemical Accident Prevention Technology Development Project.{"} (Project No. 2015001950001)' provided by Korea Ministry of Environment.",

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AU - Jung, Soonyoung

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