Project's information

Project's title Supporting the transfer of quality management systems and air pollution control policy recommendations in some areas of Vietnam
Project’s code QTAT01.01/19-20
Research hosting institution Center for Research and Technology Transfer
Coordinating unit, co-chair International Institute for Applied Systems Analysis (IIASA), Austria
Project leader’s name Assoc. Prof. Dr. Nguyen Tien Dat and Dr. Markus Amann
Project duration 01/06/2019 - 30/06/2022
Project’s budget 200 million VND
Classify Fair
Goal and objectives of the project
The overall objectives of the cooperative project is to support and strengthen the development of multi-disciplinary research community in Vietnam to address air quality, focusing on: research institutions are similar to Phase I, i.e., 
a) Development of cost-effective air pollution mitigation scenarios, including greenhouse gases and sustainable development co-benefits,
b) Developing atmospheric modelling capacity is critical if applying GAINS model for other provinces/regions will be considered.
Main results

- Some features of GAINS has been updated and expanded including integrating data connection with Craft Village software, optimizing costs and benefits. With fine dust PM2.5, the results showed that without measures to improve weather resistance, by 2030 PM2.5 in the North could be 25-30% higher than in 2020. This means that about 85% of the population here will be exposed to air quality that does not meet the national standard for PM2.5.
- In a baseline scenario on the GAINS model for Hung Yen, it found that the forecast results were relatively consistent. The modeling results show that, with the use of local budgets, the cost to control emissions with investment over the years is the lowest, only about 75 million Euro/year in 2030. While with If the loan interest rate is 10%, the cost to control emissions is about 110 million Euro/year and more than double the optimal level, reaching nearly 175 million Euro/year in 2030, corresponding to the interest rate of 20%.
- On the basis of simulation scenarios, we proposed a draft of policy recommendations on air pollution control in a locality in Vietnam, an example for Hung Yen province in order to effectively control air pollution. air pollution on the basis of cost and economic benefits.

Novelty and actuality and scientific meaningfulness of the results
The project has succeeded in building a scientific basis for cooperation and exchange between VAST and IIASA, combining the research human resources of the party, initially building a multidisciplinary research community to solve the problem. air pollution issues with the participation of research units inside and outside VAST. This mission cooperates with IIASA to develop the GAINS model in Vietnam with the aim of contributing to solving the problems of air pollution in Hanoi and localities in the northern region of Vietnam. The initial results of the project have shown the success of scientific cooperation between the two research institutes. This project will lay a solid foundation for deeper scientific cooperation activities between the two institutes as well as expand the cooperation to other research institutes of similar interest in the coming period to cooperate. in the field of air quality management. On the basis of simulation scenarios, the research team proposed a draft summary of policy recommendations on air pollution control in a locality in Vietnam, namely Hung Yen province in order to control more effectively. air pollution on the basis of cost and economic benefits
Products of the project
- Publications:
1. Lieu Thi Tran, Tien Cao Kieu, Hien Minh Bui, Nghia Trong Nguyen, Thuy Thi Thu Nguyen, Dat Tien Nguyen, Trung Quang Nguyen, Huong Thi Anh Nguyen, Tuyen Huu Le, Shin Takahashi, Minh Binh Tu, Anh Quoc Hoang. Polybrominated diphenyl ethers in indoor dusts from industrial factories, offices, and houses in northern Vietnam: Contamination characteristics and human exposure. Environmental Geochemistry and Health, 44, 2375–2388 (2022). DOI: 10.1007/s10653-021-01026-6  (SCIE, IF 4,89)
2. Huong Le Quang, Thao Pham Thi Phuong, Minh Bui Quang, Dat Nguyen Tien, Thao Nguyen Thanh, My Nguyen Ha, Hikari Shimadera, Akira Kondo, Mui Luong Viet and Trung Nguyen Quang. Comprehensive analysis of organic micropollutants in fine particulate matter in Hanoi Metropolitan area, Vietnam.  Atmosphere, 13(12), 2088 (2022). DOI:10.3390/atmos13122088 (SCIE, IF 3,11
- Products:
+ A draft of policy recommendations on air pollution control in a locality in Vietnam, an example for Hung Yen province
+ Craft Village App in Android smartphone
- Other products: short training: 06 persons, MSc training: 01

- Using modeling tools to support the development of policies on air quality control is an advanced and scientific approach that has been successfully applied by many countries and localities. In the case of Vietnam, this approach was tested through an international cooperation mission between VAST and IIASA showing the feasibility of applying this approach at the local as well as national level. . When localities develop policies/plans on air quality management, this is an approach/tool ​​that should be considered to apply to be able to assess the impacts of policies in a timely manner. comprehensive and total
- In order to be able to apply modeling tools effectively, localities should proceed to build databases on emissions activities to store information for the emission inventory. an important input to the model. While more specific policy recommendations are needed from GAINS-Vietnam's detailed analysis tools, initial analysis suggests that a range of policy changes could yield significant improvements. on air quality in the area; and move closer to the World Health Organization (WHO) air quality standards. An economically effective strategy should combine technical control measures and policies that promote the change of clean energy sources such as the use of fuel-saving technologies, the transition to more environmentally friendly fuels. The GAINS-Vietnam tool, once detailed with local data collected based on surveys, will help define effective air quality improvement policy strategies.

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