Japan Geoscience Union Meeting 2018

Presentation information

[JJ] Evening Poster

A (Atmospheric and Hydrospheric Sciences) » A-CG Complex & General

[A-CG40] Material Circulations in Land Ecosystems

Thu. May 24, 2018 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall7, Makuhari Messe)

convener:Tomomichi Kato(Research Faculty of Agriculture, Hokkaido University), Takashi Hirano(Research Faculty of Agriculture, Hokkaido University), Hisashi Sato(海洋研究開発機構 地球表層物質循環研究分野, 共同), Ryuichi Hirata(National Institute for Environmental Studies)

[ACG40-P10] Mapping CO2 Emission from Ger in the Ulaanbaatar City

*Deni Eer1, Qinxue Wang1, Tomohiro Okadera1, Zhipin Ai1, Batkhishig Ochirbat2 (1.National Institute for Environmental Studies, 2.Institute of Geography, Mongolian Academy of Sciences, Mongolia)

Keywords:CO2 Emission, Mongolia, Regional Distribution, Google Earth

Mongolia has a large amount of grassland area and a long history of stockbreeding. However, the population transferred from local to the capital showed an increasing trend with the change of the structure of the economy and industry due to the introduction of market economy since 1990. Urbanization issues such as traffic congestion and air pollution has now become more and more serious because of more than half of the population distributed in the capital city, Ulaanbaatar. According to the survey of the source of air pollution from air pollution control division, gel, a mobile dwelling used for nomadism, is a major source of air pollution. However, there are no reports about the source, spatial distribution, and the regional characteristics of the air pollution in this city. This is because the large number of around 180,000 gels located surrounding the city. Therefore, this study was conducted to map the spatial distribution of gels, and further to estimate the amount of CO2 emission in Ulaanbaatar city. In order to detect the spatial distribution of gels, we firstly used Google Earth and R[1-3] to make quality controls of the images. To be more specific, we used HSL color space method[4] to select the 40,000 RGB images obtained from Google Earth. Next, polygon processing was performed using the algorithm of S (Saturation), H (Hue) and the L (Lightness). In addition, the area (20-60 m2) and the shape (circular index > 0.6) of the gel are set as an index to make selections. We successfully detected the gels surrounding the capital city, and found out the main source of air pollution. Based on the mean annual amount of the coal and firewood in a gel [5], and the coefficient of CO2 emissions, we estimated the total CO2 emissions from the gels and mapped the spatial distribution of CO2 emission at 1 km resolution. Then, we obtained the regional characteristics of the gels in Ulaanbaatar. However, there are several uncertainties in the amount of coal, firewood, and the burn rate used in this study due to their spatial variances. Therefore, field survey would be conducted to improve the accuracy in future. This study was supported by the project “Development of Innovative Adaptation System and MRV Method for JCM in Mongolia" (2015-present) that funded by Ministry of the Environment, Japan.