Browsing by Author "Chin Siong Ho"

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    Exploring the economic case for early investment in climate change mitigation in middle-income countries: a case study of Johor Bahru, Malaysia
    (Taylor and Francis Ltd., 2016) Sarah Colenbrander; Andy Gouldson; Andrew Heshedahl Sudmant; Effie Papargyropoulou; Loon Wai Chau; Chin Siong Ho
    The assumption that climate mitigation can only be afforded at a particular level of income is implicit in global climate negotiations. This suggests that middle-income countries may reach a tipping point in their development process where low-carbon investment becomes more viable. In order to avoid dangerous levels of climate change, this tipping point needs to be brought forward in time: upper-middle-income countries are already responsible for 37.8% of global CO2 emissions. We explore the scope for large-scale investment in climate mitigation in Johor Bahru, a fast-growing industrial city in Malaysia.
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    Relationship between land use composition and PM10 concentrations in Iskandar Malaysia
    (Springer, 2016) Muhammad Azahar Zikri Zahari; M. Rafee Majid; Chin Siong Ho; Gakuji Kurata; Nordin Nadhirah; Safitri Zen Irina
    Air pollution has always been a concern with increasing urbanization and poor land use planning adding to the problem. This study sets out to investigate the relationship between land use composition of an area and its ambient concentration of 10 μm-or-less particulate matter (PM10). For this study, Iskandar Malaysia has been chosen as the study area. To compensate for the limited number of air quality monitoring stations in the study area, Terra MODIS aerosol optical depth Level 2 products are used to assess PM10 concentration spatially. Land use data were developed from LANDSAT images used together with the land use database from the local authority. Finally, the relationship between land use composition and concentrations of PM10 in the study area are explained using contour ternary plots. The plots show how different compositions of three major urban land uses (residential, commercial, industrial) in an area results in different concentration levels of PM10. Concentrations of PM10 are evidently more affected by commercial land use, followed by industrial land use.