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Analysis of the Effect of Differences in Spatial Resolution of Land-use/cover Data on the Simulation of CALPUFF
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토지피복 자료의 해상도 차이가 CALPUFF 농도 모의에 미치는 영향 분석

논문 기본 정보

Type
Academic journal
Author
Hwang Su Yeon (경희대학교) Jung Soo Ham (경희대학교) Young Jin Lee (경희대학교) Choi Jinmu (경희대학교)
Journal
The Korean Society Of Remote Sensing 대한원격탐사학회지 대한원격탐사학회지 제37권 제5호 KCI Accredited Journals
Published
2021.10
Pages
1,461 - 1,473 (13page)
DOI
https://doi.org/10.7780/kjrs.2021.37.5.3.10

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Analysis of the Effect of Differences in Spatial Resolution of Land-use/cover Data on the Simulation of CALPUFF
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Research history (2)

2021

Analysis of the Effect of Differences in Spatial Resolution of Land-use/cover Data on the Simulation of CALPUFF
Hwang Su Yeon ,  Jung Soo Ham ,  Young Jin Lee and others 1 대한원격탐사학회지 2021.10 Academic journal
토지 피복 자료의 공간 해상도 차이가 CALPUFF 농도 모의에 미치는 영향 분석
Suyeon Hwang ,  Youngjin Lee ,  Hanseong Chea and others 1 대한지리학회 학술대회논문집 2021.06 Proceeding
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Abstract· Keywords

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The purpose of this study is to ascertain how the level of resolution of land cover data affects on the local distribution and diffusion of fine dust. the CALPUFF model, which considers the spatio-temporal terrain conditions and changes in weather conditions, was used to estimate PM10 concentration in the Pyeongchon, Anyang-si, Gyeonggi-do. Three different resolutions of land cover data including 20 m, 50 m, and 100 m were compared as the input of the modeling. Using higher resolution land cover data (20 m), the wind speed of the simulated region was the largest and the PM10 concentration was the lowest. Through this study, we confirm that the resolution level of land-use/cover data can affect the local distribution and diffusion of fine dust, which can be detected by CALPUFF. Therefore, when using CALPUFF to simulate fine dust in the future, it can be suggested that checking the impact on spatial resolution according to the form of land cover in advance and proceeding with the simulation can achieve mote accurate results.
#Fine dust #PM10 #CALPUFF #Land cover data #Spatial resolution

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