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GIS 공간내삽법을 활용한 PM<sub>2.5</sub> 분포 특성 분석 - 창원시 도시지역을 대상으로 -
문한솔 ( Han-sol Mun ),송봉근 ( Bong-geun Song ),서경호 ( Kyeong-ho Seo ),김태형 ( Tae-hyeung Kim ),박경훈 ( Kyung-hun Park ) 한국지리정보학회 2020 한국지리정보학회지 Vol.23 No.2
The purpose of this study was to analyze the distribution characteristics of spatial and temporal PM<sub>2.5</sub> in urban areas of Changwon-si, and to identify the causes of PM<sub>2.5</sub> by comparing the characteristics of land-use, and to suggest the direction of reduction measures. As the basic data, the every hour average from September 2017 to August 2018 of Airpro data, which has measurement points in kindergartens, elementary schools, and some middle and high schools in Changwon-si was used. Also, by using IDW method among spatial interpolation methods of GIS, monthly and time-slot distribution maps were constructed, and based on this, spatial and temporal PM<sub>2.5</sub> distribution characteristics were confirmed. First, to verify the accuracy of the Airpro data, the correlation with AirKorea data managed by the Ministry of Environment was confirmed. As a result of the analysis, R<sup>2</sup> was 0.75~0.86, showing a very high correlation and the data was judged that it was suitable for the study. In the monthly analysis, January was the highest year, and August was the lowest. As a result of analysis by time-slot, The clock-in time at 06-09 was the highest, and the activity time at 09-18 was the lowest. By administrative district, Sangnam-dong, Happo-dong, and Myeonggok-dong were the most severe regions of PM<sub>2.5</sub> and Hoeseong-dong was the lowest. As a result of analyzing the land-use characteristics by administrative area, it was confirmed that the ratio of traffic area and commercial area is high in the serious area of PM<sub>2.5</sub>. In conclusion, the results of this study will be used as basic data to grasp the characteristics of PM2.5 distribution in Changwon-si. Also, it is thought that the severe regions and the direction of establishing reduction measures derived from this study can be used to prepare more effective policies than before.
GIS 기반 노인인구 분포지역의 공간적 특성과 폭염의 관계 분석 - 창원시를 대상으로 -
송봉근 ( Bong-geun Song ),박경훈 ( Kyung-hun Park ),김경아 ( Gyeong-ah Kim ),김성현 ( Seoung-hyeon Kim ),박건웅 ( Geon-ung Park ),문한솔 ( Han-sol Mun ) 한국지리정보학회 2020 한국지리정보학회지 Vol.23 No.3
This study analyzed the relationship between spatial characteristics and heat waves in the distribution area of the elderly population in Changwon, Gyeongsangnam-do. For analysis, the Statistics Census data, the Ministry of Environment land cover, Landsat 8 surface temperature, and the Meteorological Agency's heat wave days data were used. The spatial characteristics of the distribution of the elderly population was classified into 5 types through K-mean cluster analysis considering the land use types. The characteristics of the elderly population by spatial type were higher in the urbanized type(cluster-3), but the proportion of the elderly population was higher in the agricultural and forest area types(cluster-1, cluster-2). In the characteristics of the surface temperature and the heat wave days, the surface temperature was the highest in the urban area, but heat wave days were the highest in the rural area. As a result of analyzing the heat wave characteristics according to the spatial type of the distribution area of elderly population, cluster-2 with the largest area in agricultural areas was highest at 15.95 days, and cluster-3 with a large area in urbanized types was the lowest at 9.41 days and 9.18 days. In other words, the elderly population living in rural areas is more exposed to heat waves than the elderly population living in urban areas, and the damage is expected to increase. The results of this study could be used as basic data to prepare various policy measures for effective management and prevention of vulnerable areas in summer.