Browse > Article
http://dx.doi.org/10.5762/KAIS.2017.18.4.536

Development of System for Calculating Carbon Storage Amount of Roadside Tree Using Mobile Mapping System  

Kim, Jeong-Seob (Department of Civil and Environmental Engineering, Kongju National University)
Yang, Keum-Chul (Department of Civil and Environmental Engineering, Kongju National University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.18, no.4, 2017 , pp. 536-543 More about this Journal
Abstract
This study developed a new methodology to evaluate the carbon storage using a Mobile Mapping System according to the life cycle of street trees. The system for calculating the carbon storage of a roadside tree using the MMS developed in this study consisted of a database, memory, processor, user interface, and communication module. The carbon storage was calculated for 261 trees in the Cheonan-Asan New Town (distance: 2.1 km, area: $283,698m^2$). The average biomass and carbon storage of Metasequoia glyptostroboides were highest at 34.5 kg and 17.3 kg C and Chionanthus retusa were lowest at 19.5 kg and 9.8 kg C, respectively. The total biomass and total carbon storage of Ginkgo biloba were highest at 5028.8 kg and 17.3 kg C and Chionanthus retusa were lowest at 780.7 kg and 390.3 kg C, respectively. Based on the roadside tree database, the amount of carbon storage in a given area was converted to Google format and visualized in 3D by GIS analysis.
Keywords
Biomass; Carbon absorption; Carbon storage; Mobile mapping system; Roadside tree;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 W. S. Yoo, A 3Dimensional Object Modeling via Integrated Data Processing of MMS and Laser Scanning Data, University of Seoul, 2015.
2 K. H. Lee, Low-Cost Mobile Mapping System Development based on MEMS-INS, University of Seoul, 2016.
3 Ishikawa, K., Takiguchi, J.-I., Amano, Y. and Hashizume, T., A Mobile Mapping System for road data capture based on 3D road model. Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, pp. 638-643, 2006. DOI: https://doi.org/10.1109/CACSD-CCA-ISIC.2006.4776720
4 Haala, N., Peter, M., Kremer, J., Hunter, G., Mobile LiDAR Mapping for 3D Point Cloud Collection in Urban Areas - a Performance Test, IAPRS, vol. 37, (B5), pp. 1119f. 2008.
5 H. K. Jo., Y.H. Yun., K.E. Lee,, Atmospheric $CO_2$ sequestration by urban greenspace - In the case of Chuncheon, Journal of the Korean Institute of Landscape Architecture, 23(3): 80-93, 1995.
6 Nowak, D. J., Crane, D. E., Carbon storage and sequestration by urban trees in the USA, Environmental Pollution 116, pp. 381-389, 2002. DOI: https://doi.org/10.1016/S0269-7491(01)00214-7   DOI
7 Climate Action Team, Climate action team report to governor Schwarzenegger and the Legislature, California Environmental Protection Agency, 2006.
8 McPherson, E.G., J.R. Simpson, Q. Xiao and C. Wu., Los Angeles One Million Tree Canopy Cover Assessment - Final Report: Pacific Southwest Research Station. USDA Forest Service, Albany, CA, 48pp, 2007.
9 H. K. Jo., D. H. Jo., Annual CO2 uptake by urban popular landscape tree species, J. of Kor. Institute of Landscape Architecture, 26(2): 38-53, 2008.
10 H. K. Jo., Impacts of urban greenspace on offsetting carbon emissions for middle Korea, Journal of Environmental Management, 64: 115-126, 2002. DOI: https://doi.org/10.1006/jema.2001.0491
11 E. J. Park., K. Y. Kang., Estimation of C storage and annual CO2 uptake by street trees in Gyeonggi-do, 24(5): 591-600, 2010.
12 C. Kim., Research on Carbon Sequestration of Urban Park - In the Case of Nadry Park in Pangyo, Graduate School of Kyungwon University, 2011.
13 Oh. M. K., Kwon. O. S., Choi. B. G. and Na. Y. W., Development of automatic carbon absorption system using spatial information, Korean Society for Geospatial Information System, KOGSIS 2013 Spring proceedings, pp. 163-164, 2013.
14 Choi. B. G., Na. Y. W., Kwon. O. S.. Low-Carbon Information Management of Street Lamps and Street Trees Using GIS, Journal of the Korean Society for Geospatial Information System, vol. 22, no. 1 pp. 55-62, 2014. DOI: https://doi.org/10.7319/kogsis.2014.22.1.055   DOI