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https://doi.org/10.5194/acp-2020-895
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2020-895
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  02 Oct 2020

02 Oct 2020

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This preprint is currently under review for the journal ACP.

Technical note: Emission mapping of key sectors in Ho Chi Minh city, Vietnam using satellite derived urban land-use data

Trang Thi Quynh Nguyen1,2, Wataru Takeuchi2, and Prakhar Misra3 Trang Thi Quynh Nguyen et al.
  • 1Space Technology Institute, Vietnam
  • 2Institute of Industrial Science, The University of Tokyo, Japan
  • 3Research Institute of Humanity and Nature, Kyoto, Japan

Abstract. Emission inventories are important for both simulating pollutant concentrations and designing emission mitigation policies. Ho Chi Minh city (HCMC) is the biggest city in Vietnam but lacks of an updated spatial emission inventory. In this study, we propose a new approach to compile a comprehensive spatial emission inventory for major Short lived climate pollutants (SLCP) and Green house gases (GHG) (SO2, NOx, CO, NMVOC, PM10, PM2.5, BC, OC, NH3, CH4, N2O, and CO2) Our originality is the use of satellite derived urban land-use morphological maps which allow spatial disaggregation of emissions. Based on this approach, a comparable and consistent local emission inventory (EI) for HCMC has been prepared, including three key sectors as a successor of previous EIs. It provides annual emissions of transportation, manufacturing industries and construction and residential sectors at 1 km resolution. The target years are from 2009 to 2016. We consider both Scope 1 – all direct emissions from the activities occurring within the city and Scope 2 that is indirect emissions from electricity purchased. Transportation sector was found to be the most dominant emission sector in HCMC followed by Manufacturing industries, and Residential area, responsible for over 682 Gg CO, 84.8 Gg NOx, 20.4 Gg PM10 and 22 000 Gg CO2 emitted in 2016. Due to sharp rise in vehicle population, CO, NOx, SO2 and CO2 traffic emissions show increases of 80 %, 160 %, 150 % and 103 % respectively between 2009 and 2016. Among five vehicle types, motorcycle contributed around 95 % to total CO emission, 14 % to total NOx emission and 50–60 % to CO2 emission. Heavy vehicles are the biggest emission source of NOx, SO2 and PM while personal cars are the largest contributors to NMVOC and CO2. Electricity consumption accounts for the majority of emissions from Manufacturing industry and Residential sectors. We also found that Scope 2 emissions from manufacturing industry and residential areas in 2016 increased by 87 % and 45 % respectively in comparison with 2009. Spatial emission disaggregation reveals that central business districts like Quan 1, Quan 4 and Quan 7 express the highest emission intensities, which is over 1900 times of sub urban HCMC. Our estimates show relative agreement with several local inherent EIs, in terms of total amount of emission and sharing ratio among elements of EI. However, the big gap was observed when comparing with REASv2.1, a regional EI, which mainly applied national statistical data. This spatial emission inventory benefits not only proposing solutions to reduce anthropogenic emissions but also the simulation of pollution concentrations in city scale. Using our proposed method, the local emission maps in HCMC can be continuously updated and improved in the future.

Trang Thi Quynh Nguyen et al.

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This study provides annual emissions of transportation, manufacturing industries and construction and residential sectors at 1 km resolution from 2009 to 2016 for Ho Chi Minh city, Vietnam. We consider both Scope 1 – all direct emissions from the activities occurring within the city and Scope 2 that is indirect emissions from electricity purchased. Our originality is the use of satellite derived urban land-use morphological maps which allow emission mapping in study area.
This study provides annual emissions of transportation, manufacturing industries and...
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