Browse > Article
http://dx.doi.org/10.5762/KAIS.2020.21.10.361

Impact Assessment of Vegetation Carbon Absorption and Economic Valuation Under Long-term Non-executed Urban Park Development  

Sung, Woong-Gi (Department of Land and Water Environment Research, Korea Environment Institute)
Choi, Jae-Yeon (University of Seoul)
Yu, Jae-Jin (Department of Land and Water Environment Research, Korea Environment Institute)
Kim, Dong-Woo (Department of Land and Water Environment Research, Korea Environment Institute)
Son, Seung-Woo (Department of Land and Water Environment Research, Korea Environment Institute)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.21, no.10, 2020 , pp. 361-371 More about this Journal
Abstract
Since the implementation of the sunset law in 2020, concerns have been raised over the reckless development of long-term non-executed urban parks. In this study, the FSDAF method and CASA-NPP model were used to evaluate the annual average NPP of long-term non-executed urban parks in Seoul. Based on this, the carbon loss and economic value were assessed under five development scenarios. The total NPP value of long-term non-executed urban parks, except for the greenbelt area in Seoul, was 4,892.18 t C. In the first scenario, the NPP and cost were 4,892.18 t C of vegetation carbon and 1.18 billion won, 2,548.55 t C of vegetation carbon and 615 million won in the second scenario, 238.94 t C of vegetation carbon and 58 million won in the third scenario, 848.38 t C of vegetation carbon and 205 million won in the fourth scenario, and 1,596.00 t C of vegetation carbon and 385 million won in the fifth scenario. These results are meaningful for evaluating vegetation carbon and economic value loss according to five different development scenarios. The results of this study are expected to be useful for the preparation of measures to minimize the impact of the development of long-term non-executed urban parks.
Keywords
Sunset Law; NPP(Net Primary Productivity); Urban Forest Management; Economic Valuation; Remote Sensing;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 H. S. Choi, S. E. Ahn, W. S. Lee, S. G. Song, K. S. Lee, The Transformation of Urban Park and Green Space Policy for Sustainability, Korea Environmental Institute, 2019.
2 Ministry of Environment, Study on Strengthening Ecological Functions of Urban Green Spaces, Research report of Ministry of Environment, 2012.
3 Ministry of Land, Infrastructure and Transport, A Study on the Strategic Policy for Creating and Managing Low Carbon Green Urban Parks, Research report of Ministry of Land, Infrastructure and Transport, 2011.
4 Seoul Development Institute. A study on ensuring carbon reservoir and reducing carbon emissions plan. Research report of Seoul Development Insitute. 2010.
5 Y. H. Jin, J. R. Zhu, S. Y. Sung, D. K. Lee, "Impact assessment of forest development on Net Primary Production using satellite image spatial-temporal fusion and CASA-Model", The Korea Society of Environmental Restoration Technology, Vol.20, No.4, pp.29-42. 2017. DOI: https://doi.org/10.13087/kosert.2017.20.4.29
6 Ministry of Environment. Guidelines for Environmental Assessment of Green house gases. Research report of Ministry of Environment. 2011
7 S. Y. Sung, D. K. Lee, Y. M. Mo, "Comparison of Carbon Stock Between Forest Edge and Core by Using Connectivity Analysis", Korean Society of Rural Planning, Vol.21 No.4, pp.27-33. 2015. DOI: http://dx.doi.org/10.7851/ksrp.2015.21.4.027   DOI
8 Seoul Development Institute. A study on the Urban Park Management System with Special Use Permits in Seoul. Research report of Seoul Development Institute. 2011.
9 R. S. Tol, "The marginal damage costs of carbon dioxide emissions: an assessment of the uncertainties", Energy policy, Vol.33, No.16, pp.2064-2074. 2005. DOI: http://dx.doi.org/10.1016/j.enpol.2004.04.002   DOI
10 R. S. Tol, "Targets for global climate policy: An overview", Journal of Economic Dynamics and Control, Vol.37, No.5, pp.911-928. 2013. DOI: http://dx.doi.org/10.1016/j.jedc.2013.01.001   DOI
11 C. B. Field, J. T. Randerson, C. M. Malmstrom, "Global net primary production: Combining ecology and remote sensing", Remote Sensing of Environment. Vol. 51, No.1, pp.74-88. 1995. DOI: http://dx.doi.org/10.1016/0034-4257(94)00066-V   DOI
12 W. Kuttler, "The Urban Climate: Basic and Applied Aspects. In: Marzluff JM. Shulenberger E, Endlicher W, Alberti M, Bradley G, Ryan C, ZumBrunnen C, Simon U. Urban Ecology. Springer; p. 233-248. 2008
13 P. S. Chavez, "Image based atmospheric corrections - revisited and improved", Photogrammetric Engineering and Remote Sensing, Vol.62, No.9, pp.1025-1036, 1996.
14 FLAASH, User's Guide, Atmospheric Correction Module: QUAC and FLAASH User's Guide, Version 4.7, ITT Visual Information Solutions Inc., Boulder, Colorado, USA, 2009.
15 H. Lee, S. Noh, "Advanced Statistical Analysis: Theory and Practice", Moonwoosa. 2013.
16 T. Chai, R. R. Draxler, "Root mean square error (RMSE) or mean absolute error (MAE)? Arguments against avoiding RMSE in the literature, Geoscience Model Development, Vol. 7, No.3, pp.1247-1250. 2014 DOI: https://doi.org/10.5194/gmd-7-1247-2014   DOI
17 C. S. Potter, J. T. Randerson, C. B. Field, "Terrestrial ecosystem production: a process model based on global satellite and surface data". Global Biochemical Cycle, Vol. 7, No.4, pp.811-841. 1993. DOI: http://dx.doi.org/10.1029/93GB02725   DOI
18 J. R. Xu, J. H. Dong, H. B. Yang, "Landcover change and its impact on net primary productivity in China's typical temperate grassland system in the past 25 years: A study of the Huangfuchuan Watershed", Remote sensing for land and resources, Vol.27, No.2, pp.118-125. 2015.
19 S. Jay, C. Potter, R. rabtree, V. Genovese, D. J. Weiss, M. Kraft, "Evaluation of modelled net primary production using MODIS and landsat satellite data fusion". Carbon Balance and Management, Vol.11, No.1, pp.8, 2016. DOI: https://doi.org/10.1186/s13021-016-0049-6   DOI
20 L. Z. Hua, H. Liu, X. L. Zhang, Y. Zheng, W. Man, K. Yin, "Estimation Terrestrial Net Primary Productivity Based on CASA Model: a Case Study in Minnan Urban Agglomeration, China", IOP Conference Series: Earth and Environmental Science, Bejing, China, Vol. 17, April 2014. DOI: https://doi.org/10.1088/1755-1315/17/1/012153
21 Statistics Korea. Korea Statistical Information System (KOSIS), Statistic DB, Status of unexecuted parks [Internet]. [cited 2020 Jun 25]. Available from: http://kosis.kr/statHtml/statHtml.do?orgId=315&tblId=TX_315_2009_H1323&vw_cd=MT_ZTITLE&list_id=315_31502_010_006&seqNo=&lang_mode=ko&language=kor&obj_var_id=&itm_id=&conn_path=MT_ZTITLE
22 S. W. Running, J. C. Coughlan, "A general model of forest ecosystem processes for regional applications I: Hydrologic balance, canopy gas exchange and primary production processes", Ecological Modelling, Vol.42, No.2, pp.125-154. 1988. DOI: http://dx.doi.org/10.1016/0304-3800(88)90112-3   DOI
23 P. Watkiss, T. Downing, "The social cost of carbon: valuation estimates and their use in UK policy", Integrated Assessment Journal, Vol.8, No.1, pp.85-105. 2008
24 Q. Zhu, J. Zhao, Z. Zhu, H. Zhang, Z. Zhang, X. Guo, Y. Bi, L. Sun, "Remotely sensed estimation of net primary productivity(NPP) and its spatial and temporal variations in the Greater Khingan Mountain region, China", Sustainability, Vol.9, No.7, pp.1213. 2017. DOI: http://dx.doi.org/10.3390/su9071213   DOI
25 J. Y. Hong, C. S. Shim, M. J. Lee, G. H. Baek, W. K. Song, S. W. Jeon, & Y. H. Park, "Net Primary Production Changes over Korea and Climate Factors", Korean Journal of Remote Sensing, Vol.27, No.4, pp.467-480. 2011 DOI: https://doi.org/10.7780/kjrs.2011.27.4.467   DOI
26 S. I. Na, S. Y. Hong, Y. H. Kim, K. D. Lee & S. Y. Jang, "Prediction of Rice Yield in Korea using Paddy Rice NPP index - Application of MODIS data and CASA Model", Korean Journal of Remote Sensing, Vol: 29, No.5, pp. 461-476. 2013 DOI: https://doi.org/10.7780/kjrs.2013.29.5.2   DOI
27 X. Zhu, E. H. Helmer, F. Gao, D. Liu, J. Chen, M. A. Lefsky, "A flexible spatiotemporal method for fusing satellite images with different resolutions". Remote Sensing of Environment, Vol.172, pp.165-177. 2016. DOI: http://dx.doi.org/10.1016/j.rse.2015.11.016   DOI