Browse > Article
http://dx.doi.org/10.7780/kjrs.2022.38.4.9

Satellite-based Assessment of Ecosystem Services Considering Social Demand for Reduction of Fine Particulate Matter in Seoul  

Lim, Chul-Hee (College of General Education, Kookmin University)
Publication Information
Korean Journal of Remote Sensing / v.38, no.4, 2022 , pp. 421-434 More about this Journal
Abstract
Fine particulate matter (PM2.5) has been the biggest environmental problem in Korea since the 2010s. The present study considers the value of urban forests and green infrastructure as an ecosystem service (ES) concept for PM2.5 reduction based on satellite and spatial data, with a focus on Seoul, Korea A method for the spatial ES assessment that considers social demand variables such as population and land price is suggested. First, an ES assessment based on natural environment information confirms that, while the vitality of vegetation is relatively low, the ES is high in the city center and residential areas, where the concentration of PM2.5 is high. Then, the ES assessment considering social demand (i.e., the ESS) confirms the existence of higher PM2.5 values in residential areas with high population density, and in main downtown areas. This is because the ESS of urban green infrastructure is high in areas with high land prices, high population density, and above-average PM2.5 concentrations. Further, when a future green infrastructure improvement scenario that considers the urban forest management plan is applied, the area of very high ESS is increased by 74% when the vegetation greenness of the green infrastructure in the residential area is increased by only 20%. This result suggests that green infrastructure and urban forests in the residential area should be continuously expanded and managed in order to maximize the PM2.5 reduction ES.
Keywords
PM2.5; Ecosystem services assessment; Social demand; Green infrastructure; Spatial assessment;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
연도 인용수 순위
1 Apte, J.-S., M. Brauer, A.-J. Cohen, M. Ezzati, and C.-A. Pope III, 2018. Ambient PM2. 5 reduces global and regional life expectancy, Environmental Science & Technology Letters, 5(9): 546-551. https://doi.org/10.1021/acs.estlett.8b00360   DOI
2 Gopalakrishnan, V., G. Ziv, S. Hirabayashi, and B.-R. Bakshi, 2019. Nature-based solutions can compete with technology for mitigating air emissions across the United States, Environmental Science & Technology, 53(22): 13228-13237. https://doi.org/10.1021/acs.est.9b01445   DOI
3 Jo, A., J. Ryu, H. Chung, Y. Choi, and S.-W. Jeon, 2018. Applicability of Various Interpolation Approaches for High Resolution Spatial Mapping of Climate Data in Korea, Journal of Environmental Impact Assessment, 27(5): 447-474 (in Korean with English abstract). https://doi.org/10.14249/eia.2018.27.5.447   DOI
4 Lee, J., C.-H. Lim, G.-S. Kim, A. Markandya, S. Chowdhury, S.-J. Kim, W.-K. Lee, and Y. Son, 2018. Economic viability of the national-scale forestation program: The case of success in the Republic of Korea, Ecosystem Services, 29: 40-46. https://doi.org/10.1016/j.ecoser.2017.11.001   DOI
5 Lim, C.-H., J. Ryu, Y. Choi, S.-W. Jeon, and W.-K. Lee, 2020. Understanding global PM2.5 concentrations and their drivers in recent decades (1998-2016), Environment International, 144: 106011. https://doi.org/10.1016/j.envint.2020.106011   DOI
6 Lim, C.-H. and H.-C. Yeo, 2022. Understanding the Long-Term Vegetation Dynamics of North Korea and Their Impact on the Thermal Environment, Forests, 13(7): 1053. https://doi.org/10.3390/f13071053   DOI
7 Lu, J.-G., 2020. Air pollution: A systematic review of its psychological, economic, and social effects, Current Opinion in Psychology, 32: 52-65. https://doi.org/10.1016/j.copsyc.2019.06.024   DOI
8 Moon, K.-J., H.-G. Cheo, K.-H. Jeon, X. Yang, F. Meng, D.-G. Kim, H.-J. Park, and J.-S. Kim, 2018. Review on the Current Status and Policy on PM 2.5 in China, Journal of Korean Society for Atmospheric Environment, 34(3): 373-392 (in Korean with English abstract). https://doi.org/10.5572/KOSAE.2018.34.3.373   DOI
9 Park, S., R.-J. Allen, and C.-H. Lim, 2020a. A likely increase in fine particulate matter and premature mortality under future climate change, Air Quality, Atmosphere & Health, 13(2): 143-151. https://doi.org/10.1007/s11869-019-00785-7   DOI
10 Park, S., S.-J. Kim, H. Yu, C.-H. Lim, E. Park, J. Kim, and W.-K. Lee, 2020b. Developing an adaptive pathway to mitigate air pollution risk for vulnerable groups in South Korea, Sustainability, 12(5): 1790. https://doi.org/10.3390/su12051790   DOI
11 Ryu, Y.-H. and S.-K. Min, 2020. What matters in public perception and awareness of air quality? Quantitative assessment using internet search volume data, Environmental Research Letters, 15(9): 0940b4. https://doi.org/10.1088/1748-9326/ab9fb0   DOI
12 Silva, R.-A., J.-J. West, J.-F. Lamarque, D.-T. Shindell, W.-J. Collins, G. Faluvegi, G.-A. Folberth, L.-W. Horowitz, T. Nagashima, V. Naik, S.-T. Rumbold, K. Sudo, T. Takemura, D. Bergmann, P. Cameron-Smith, R.-M. Doherty, B. Josse, I.-A. MacKenzie, D.-S. Stevenson, and G. Zeng, 2017. Future global mortality from changes in air pollution attributable to climate change, Nature Climate Change, 7(9): 647-651. https://doi.org/10.1038/nclimate3354   DOI
13 Kim, E., C. Bae, C. Yoo, B.-U. Kim, H.-C. Kim, and S. Kim, 2018. Evaluation of the effectiveness of emission control measures to improve PM 2.5 concentration in South Korea, Journal of Korean Society for Atmospheric Environment, 34(3): 469-485 (in Korean with English abstract). https://doi.org/10.5572/KOSAE.2018.34.3.469   DOI
14 Son, S. and J. Kim, 2021. Vulnerability Assessment for Fine Particulate Matter (PM 2.5) in the Schools of the Seoul Metropolitan Area, Korea: Part II-Vulnerability Assessment for PM 2.5 in the Schools, Korean Journal of Remote Sensing, 37(6-2): 1891-1900 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2021.37.6.2.11   DOI
15 Song, C., W.-K. Lee, H.-A. Choi, J. Kim, S.-W. Jeon, and J.-S. Kim, 2016. Spatial assessment of ecosystem functions and services for air purification of forests in South Korea, Environmental Science & Policy, 63: 27-34. https://doi.org/10.1016/j.envsci.2016.05.005   DOI
16 van Donkelaar, A., R.-V. Martin, M. Brauer, N.-C. Hsu, R.-A. Kahn, R.-C. Levy, A. Lyapustin, A.-M. Sayer, and D.-M. Winker, 2016. Global estimates of fine particulate matter using a combined geophysical-statistical method with information from satellites, models, and monitors, Environmental Science & Technology, 50(7): 3762-3772. https://doi.org/10.1021/acs.est.5b05833   DOI
17 Daily, G.-C. and P. A. Matson, 2008. Ecosystem services: From theory to implementation, Proceedings of the National Academy of Sciences (PNAS), 105(28): 9455-9456. https://doi.org/10.1073/pnas.0804960105   DOI
18 Gaglio, M., R. Pace, A.-N. Muresan, R. Grote, G. Castaldelli, C. Calfapietra, and E.-A. Fano, 2022. Species-specific efficiency in PM2.5 removal by urban trees: From leaf measurements to improved modeling estimates, Science of The Total Environment, 844: 157131. https://doi.org/10.1016/j.scitotenv.2022.157131   DOI
19 Hammer, M.-S., A. van Donkelaar, C. Li, A. Lyapustin, A. M. Sayer, N. C. Hsu, and R.-V. Martin, 2020. Global estimates and long-term trends of fine particulate matter concentrations (1998-2018), Environmental Science & Technology, 54(13): 7879-7890. https://doi.org/10.1021/acs.est.0c01764   DOI
20 Jang, D.-H., N.-S. Wi, and N.-W. Park, 2015. High-resolution Spatial Mapping and Evaluation of Temperature and Rainfall in South Korea using a Simple Kriging with Local Mean, Journal of Climate Research, 10(2): 165-182 (in Korean with English abstract). https://doi.org/10.14383/cri.2015.10.2.165   DOI
21 Kim, J., C.-H. Lim, H.-W. Jo, and W.-K. Lee, 2021. Phenological classification using deep learning and the sentinel-2 satellite to identify priority afforestation sites in North Korea, Remote Sensing, 13(15): 2946. https://doi.org/10.3390/rs13152946   DOI
22 Lim, C.-H. and D.H. Park, 2022. Spatial clustering of PM2. 5 concentration and their characteristics in the Seoul Metropolitan Area for regional environmental planning, Journal of the Korean Society of Environmental Restoration Technology, 25(1): 41-55 (in Korean with English abstract). https://doi.org/10.13087/kosert.2022.25.1.41   DOI
23 Lee, K. and C.-H. Lim, 2022. Analysis of the Surface Urban Heat Island Changes according to Urbanization in Sejong City Using Landsat Imagery, Korean Journal of Remote Sensing, 38(3): 225-236 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2022.38.3.1   DOI
24 Lee, S.-J., S. Yoo, B. Ham, C.-H. Lim, C. Song, M. Kim, S.-J. Kim, and W.-K. Lee, 2017. Ecosystem service assessment of urban forest for water supply and climate mitigation of Seoul metropolitan area, Korean Journal of Remote Sensing, 33(6-2): 1119-1137 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2017.33.6.2.7   DOI
25 Lim, C.-H. and H.-A. Choi, 2021. Ecosystem service-based economic valuation of forest restoration in North Korea, Korean Journal of Environmental Biology, 39(2): 225-235 (in Korean with English abstract). https://doi.org/10.11626/KJEB.2021.39.2.225   DOI
26 von Schneidemesser, E., K. Steinmar, E.-C. Weatherhead, B. Bonn, H. Gerwig, and J. Quedenau, 2019. Air pollution at human scales in an urban environment: Impact of local environment and vehicles on particle number concentrations, Science of the Total Environment, 688: 691-700. https://doi.org/10.1016/j.scitotenv.2019.06.309   DOI
27 WHO (World Health Organization), 2017. Evolution of WHO air quality guidelines: past, present and future, WHO Regional Office for Europe, Copenhagen, Denmark.