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http://dx.doi.org/10.7780/kjrs.2021.37.5.3.10

Analysis of the Effect of Differences in Spatial Resolution of Land-use/cover Data on the Simulation of CALPUFF  

Hwang, Suyeon (Department of Geography, Kyung Hee University)
Ham, Jungsoo (Department of Geography, Kyung Hee University)
Lee, Youngjin (Department of Geography, Kyung Hee University)
Choi, Jinmu (Department of Geography, Kyung Hee University)
Publication Information
Korean Journal of Remote Sensing / v.37, no.5_3, 2021 , pp. 1461-1473 More about this Journal
Abstract
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.
Keywords
Fine dust; PM10; CALPUFF; Land cover data; Spatial resolution;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Choi, J.-S. and S.-O. Baek, 1998. An Approach to Estimate Daily Maximum Mixing Height (DMMH) in Pohang, Osan, and Kwangju Areas - Analysis of 10 years data from 1983 to 1992 -, Journal of Korean Society for Atmospheric Environment, 14(4): 379-385 (in Korean with English abstract).
2 Hwang, E.-J., 2007. A Study on assesment of its source contribution and estimation of emission for air pollutants in Cheongwon.Cheongju area, Korea National University of Education, Cheongju, KR (in Korean with English abstract).
3 Jeon, K.-Y. and Y.-H. Kim, 2016. Study on Improvement to Accuracy of CALMET using a Surface Roughness Length of Landuse, Journal of the Korean Society of Urban Environment, 16(4): 383-392 (in Korean with English abstract).
4 Kim, J.-Y., 2011. Comparison of Atmospheric Diffusion Models for MSW Incinerator Flue Gas, Chungbuk National University, Cheongju, KR (in Korean with English abstract).
5 Abdul-Wahab, S., K. Chan, L. Ahmadi, and A. Elkamel, 2014. Impact of geophysical and meteorological conditions on the dispersion of NO 2 in Canada, Air Quality, Atmosphere & Health, 7(2): 113-129.   DOI
6 An, H.-Y., 2015. Comparison of CALPUFF and HYSPLIT model for atmospheric dispersion predictions of radioactive substance, Pusan National University, Pusan, KR (in Korean with English abstract).
7 Choi, H.-J., H.-W. Lee, and K.-H. Sung, 2007. Air Quality Modeling of Ozone Concentration According to the Roughness Length on the Complex Terrain, Journal of Korean Society for Atmospheric Environment, 23(4): 430-439 (in Korean with English abstract).   DOI
8 Emery, C., E. Tai, and G. Yarwood, 2001. Enhanced Meteorological Modeling and Performance Evaluation for Two Texas Ozone Episodes, Texas Natural Resources Conservation Commission, Prepared by ENVIRON, International Corporation, Novato, CA, USA.
9 Hao, Y. and Xie, S., 2018. Optimal redistribution of an urban air quality monitoring network using atmospheric dispersion model and genetic algorithm, Atmospheric Environment, 177: 222-233.   DOI
10 Lee.C.-J. and M.-S. Hong, 2019. Spatiotemporal Variations of Fine Particulates in and around the Korean Peninsula, Journal of Korean Society for Atmospheric Environment, 35(6): 675-682 (in Korean with English abstract).   DOI
11 Lee, I.-H., Y.-G. Park, and S.-E. Lim, 2017. Causes and Reduction of Fine Dust (PM10) in Pocheon-si, Seoul Green Environment Center, Seoul, KR (in Korean with English abstract).
12 Jeon, B.-G. and S.-H. Lee, 2015. A Impact Analysis of Air Quality by Air Pollution Control Facilities Improvement on Point Source Pollution, Journal of Korea Academia-Industrial Cooperation Society, 16(4): 2876-2882 (in Korean with English abstract).   DOI
13 Jung, W.-S. and W.-G. Do, 2012. An Analysis of the Temperature Change Effects of Restoring Urban Streams in Busan Area, Journal of Environmental Science International, 21(8): 939-951 (in Korean with English abstract).   DOI
14 Kim. J.-S., 2016. A Study on the Development of the Evaluation Model for Urban Air Quality Improvement Planning in Accordance with the Transportation Demand Management, The University of Seoul, Seoul, KR (in Korean with English abstract).
15 Ko, K.-J., 2010. A study on the Optimization of CALMET & CALPUFF Models for Odor Modeling, Anyang University, Anyang, KR (in Korean with English abstract).
16 Kwon, B.-H. and H.-J. Yoon, 2000. Martitime Atmospheric Boundary Layer Observes By L-band Doppler rader, Journal of the Korea Institute of Information and Communication Engineering, 4(5): 977-984 (in Korean with English abstract).
17 Lee, E.-J., M. Khan, and K.-H. Lim, 2016. Odor Modeling of trimethyl amine in Gumi National Industrial Complex, Korean Chemical Engineering Research, 54(2): 187-199 (in Korean with English abstract).   DOI
18 Lee, G.-W. and J.-H. Yom, 2019. Spatio-temporal Visualization of PM10 Flow Pattern Using Gravity Model, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 37(6): 417-426 (in Korean with English abstract).   DOI
19 Oleniacz, R. and M. Rzeszutek, 2014. Determination of optimal spatial databases for the area of Poland to the calculation of air pollutant dispersion using the CALMET/CALPUFF model, Geomatics and Environmental Engineering, 8(2): 57-69.   DOI
20 Rzeszutek, M., 2019. Parameterization and evaluation of the CALMET/CALPUFF model system in near-field and complex terrain - Terrain data, grid resolution and terrain adjustment method, Science of The Total Environment, 689: 31-46.   DOI
21 Moon, N.-K., Y.-S. Lee, and Y.-H. Kim, 2005. The Application of Air Quality Models on Environment Impact Assessment, Korea Environment Institute, Sejong, KR (in Korean with English abstract).
22 Lee, H.-W., H.-Y. Won, H.-J. Choi, K.-Y. Lee, and H.G. Kim, 2004. Numerical Simulation of Dispersion Fields of SO2 according to Atmospheric Flow Field to Reflect Local characteristics in Complex Coastal Regions, Journal of Environmental Science International, 14(3): 297-309 (in Korean with English abstract).   DOI
23 Lee, S.-H., 2012. Comparisons of AERMOD and CALPUFF for Dispersion using Terrain effect, Hanbat National University, Daejeon, KR (in Korean with English abstract).
24 Lim, Y.-K. and S.-N. Oh, W.-T. Yun, and Y.-S. Chun, 2000. A Study on the Simulation of three-dimensional Wind Field Considering Complex Terrain and Land Uses in the Region of Seoul, Asia-Pacific Journal of Atmospheric Sciences, 36(2): 229-244 (in Korean with English abstract).
25 Park, M.-S., 2019. Regional Association of the Particulate Matters, Journal of The Korean Data Analysis Society, 21(3): 1169-1181 (in Korean with English abstract).   DOI
26 Chae, H.-J., 2009. Effect on the PM10 Concentration by Wind Velocity and Wind Direction, Journal of Environmental and Sanitary Engineering, 24(3): 28-45 (in Korean with English abstract).
27 Jensen, J.R., 2000. Remote Sensing of the Environment: An Earth Resource Perspective, Prentice Hall, Saddle River, NJ, USA.
28 Tartakovsky, D., E. Stern, and D.M. Broday, 2016. Comparison of dry deposition estimates of AERMOD and CALPUFF from area sources in flat terrain, Atmospheric Environment, 142: 430-432.   DOI
29 Moon, Y.-S. and Y.-S. Koo, 2006. A Study on Examples Applicable to Numerical Land Cover Map Data for Atmospheric Environment Fields in the Metropolitan Area of Seoul - Real Time Calculation of Biogenic CO Flux and VOC Emission Due to a Geographical Distribution of Vegetableand Analysis on Sensitivity of Air Temperature and Wind Field within MM5 -, Journal of Korean Society for Atmospheric Environment, 22(5): 661-678 (in Korean with English abstract).
30 MOLIT (Ministry of Land, Infrastructure and Transport), 2015. First planned city construction guide, https://www.molit.go.kr/USR/policyData/m_34681/dtl?id=523, Accessed on Jun. 23, 2021.
31 Yang, K.-H., 2015. Prediction of temporal and spatial variation of the emission from MSW incineration facility by using CALPUFF model, Jeju National University, Jeju, KR (in Korean with English abstract)
32 Park, J.-H., 2008. Meteorological Field Generation Method for CALPUFF Model, Inha University, Incheon, KR (in Korean with English abstract).
33 Scire, J.S., D.G. Strimaitis, and R.J. Yamartino, 2000a. A User's Guide for the CALPUFF Dispersion Model (Version 5), Earth Tech, Concord, MA, USA.
34 Scire, J.S., F.R. Robe, M.E. Fernau, and R.J. Yamartino, 2000b. A User's Guide for the CALMET Meteorological Model (Version 5), Earth Tech, Concord, MA, USA.
35 Charabi, Y., S. Abdul-Wahab, G. Al-Rawas, M. Al-Wardy, and S. Fadlallah, 2018. Investigating the impact of monsoon season on the dispersion of pollutants emitted from vehicles: A case study of Salalah City, Sultanate of Oman, Transportation Research Part D: Transport and Environment, 59: 108-120.   DOI