scholarly journals Air Pollution, Vietnames Legal Finalization for Environmental Protection

2020 ◽  
Vol 36 (1) ◽  
Author(s):  
Mai Hai Dang

Air pollution has been a growing concern for decades, which has a serious toxicological impact on human health and the environment. It has a number of different emission sources, but motor vehicles and industrial processes contribute the major part of air pollution. According to the World Health Organization, six major air pollutants include particle pollution, ground-level ozone, carbon monoxide, sulfur oxides, nitrogen oxides, and lead. Air pollution is considered as the major environmental risk factor in the incidence and progression of some diseases such as asthma, lung cancer, ventricular hypertrophy, Alzheimer's and Parkinson's diseases, psychological complications, autism, retinopathy, fetal growth, and low birth weight. This article aims to discuss toxicology of major air pollutants, sources of emission, and their impact on human health. We have also proposed practical measures to reduce air pollution in VietNam. Keywords: Air pollution, cardiovascular diseases, environment, human health, Vietnam. References: [1] http://www.healthdata.org/infograp hic/global-burden-air-pollution.[2] http://documents.worldbank.org/curated/en/781521473177013155/pdf/108141-REVISED-Cost-of-PollutionWebCORRECTEDfile.pdf.[3] https://epi.envirocenter.yale.edu/epi-topline.[4] https://thanhnien.vn/thoi-su/khong-khi-ha-noi-lai-vuon-len-muc-o-nhiem-nhat-the-gioi-1185769.html.[5] Convention on Long-Range Transboundary Air Pollution (adopted 13 November 1979, entered into force 16 March 1983).[6] United States Environmental Protection Agency (2007), “Terms of Environment: Glossary, Abbreviations and Acronyms.[7] Trường Đại học Luật Hà Nội, Giáo trình luật môi trường, NXB. Công an Nhân dân, Hà Nội, 2014, tr.165.[8] WHO, ‘A Global Assessment of Exposure and Burden of Disease: FAQs’ http://www. who.int/phe/health_topics/outdoorair/global-exposure-assessment-faq/en.[9] https://www.worldenvironmentday.global/what-causes-air-pollution#agriculture.[10] https://www.who.int/news-room/fact-sheets/detail/household-air-pollution-and-health.[11] WHO, “Household Air Pollution and Health” (February 2016).http://www.who.int/ mediacentre/factsheets/fs292/en/.[12] https://www.who.int/news-room/fact-sheets/detail/household-air-pollution-and-health.[13] M. Sand et al, “Response of Arctic Temperature to Changes in Emissions of Short-Lived Climate Forcers” (2016) 6 Nature Climate Change 286.[14] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6862654/#B2-ijerph-16-04296.[15] https://www.sciencedirect.com/science/article/pii/S0269749114000062.[16] Kết luận số 56-KL/TW, ngày 23/8/2019 của Bộ Chính trị về tiếp tục thực hiện Nghị quyết Trung ương 7 khoá XI về chủ động ứng phó với biến đổi khí hậu, tăng cường quản lí tài nguyên và bảo vệ môi trường.[17] Quyết định số 79/QĐ-BTNMT, ngày 09/01/2020 của Bộ trưởng Bộ Tài nguyên và Môi trường về việc công bố 10 sự kiện ngành tài nguyên và môi trường năm 2019.[18] https://www.thiennhien.net/2020/02/25/chat-luong-khong-khi-do-thi-dien-bien-xau-trong-2-thang-dau-nam/.[19] https://vietnamnet.vn/vn/thoi-su/moi-truong/khong-khi-ha-noi-o-nguong-rat-co-hai-ngay-thu-7-lien-tiep-599095.html.[20] https://thanhnien.vn/thoi-su/khong-khi-ha-noi-lai-vuon-len-muc-o-nhiem-nhat-the-gioi-1185769.html.[21] Shannon N. Koplitz và cộng sự, Burden of Disease from Rising Coal-Fired Power Plant Emissions in Southeast Asia (2017), https://pubs.acs.org/doi/pdf/10.1021/acs.est.6b03731. [22] Nguyễn Quang Dy, Câu chuyện đầu năm: Nguy cơ khủng hoảng môi trường, http://www.viet-studies.net/kinhte/NQuangDy_KhungHoangMoiTruong.html.    

2018 ◽  
Vol 20 (3) ◽  
pp. 439-448

<p>Over the last few decades, the evidence on the adverse effects on the health of air pollution has been raised. Mortality is the most important health effect of ambient air pollution. We studied the relation between mortality and criteria pollutant air in Tehran, one of the highly industrialized, densely populated area and most polluted cities of the reign, during 2005-2014. For this purpose, we applied the approach proposed by the World Health Organization using the AirQ 2.2.3 model. Hourly concentrations of pollutants were taken from the Tehran environmental protection agency and Air Quality Control Company. In this model, the attributable proportion of health outcome, the annual number of excess cases of mortality for all causes were estimated. According to results, the number of total mortality caused by exposure to O3, NO2, SO2, PM10, PM2.5 in the past decade was 8042, 15141, 8136, 17776 and 20015 cases, respectively. The number of cumulative total mortality was 53110 cases in ten years. Furthermore, the number of cumulative cardiovascular and respiratory mortality 33887 and 8168 cases was estimated in last decade. A large number of residents of Tehran have died as a result of exposure to air pollutants; therefore for control and management of air pollution, appropriate actions on health and the environment should be performed.</p>


Author(s):  
Gennaro D’Amato ◽  
Carlos E. Baena-Cagnani ◽  
Lorenzo Cecchi ◽  
Isabella Annesi-Maesano ◽  
Carlos Nunes ◽  
...  

The prevalence of asthma and allergic diseases has increased dramatically during the past few decades not only in industrialized countries. Urban air pollution from motor vehicles has been indicated as one of the major risk factors responsible for this increase. Although genetic factors are important in the development of asthma and allergic diseases, the rising trend can be explained only in changes occurred in the environment. Despite some differences in the air pollution profile and decreasing trends of some key air pollutants, air quality is an important concern for public health in the cities throughout the world. Due to climate change, air pollution patterns are changing in several urbanized areas of the world, with a significant effect on respiratory health. The observational evidence indicates that recent regional changes in climate, particularly temperature increases, have already affected a diverse set of physical and biological systems in many parts of the world. Associations between thunderstorms and asthma morbidity in pollinosis subjects have been also identified in multiple locations around the world. Allergens patterns are also changing in response to climate change and air pollution can modify the allergenic potential of pollens especially in presence of specific weather conditions. The underlying mechanisms of all these interactions are not well known yet. The consequences on health vary from decreases in lung function to allergic diseases, new onset of diseases, and exacerbation of chronic respiratory diseases. Factor clouding the issue is that laboratory evaluations do not reflect what happens during natural exposition, when atmospheric pollution mixtures in polluted cities are inhaled. In addition, it is important to recall that an individual’s response to pollution exposure depends on the source and components of air pollution, as well as meteorological conditions. Indeed, some air pollution-related incidents with asthma aggravation do not depend only on the increased production of air pollution, but rather on atmospheric factors that favour the accumulation of air pollutants at ground level. Considering these aspects governments worldwide and international organizations such as the World Health Organization and the European Union are facing a growing problem of the respiratory effects induced by gaseous and particulate pollutants arising from motor vehicle emissions.


2021 ◽  
Vol 8 (3) ◽  
pp. 176-178
Author(s):  
S Ravichandran ◽  
Riddima Singh ◽  
R M Madhumitha Sri

The World Health Organization (WHO) reports on six major air pollutants, namely particulate matter, ground level ozone, carbon monoxide, sulfur oxides, nitrogen oxides and lead. Effects of these pollutants are seen in air, soil and water. This air pollutant possesses different impact on the human health, climate changes, green-house effects and global warming. Acid rain, global warming, greenhouse effect and climate changes have an important ecological impact on air pollution. Neurological effects have been observed in adults and children after exposure to air pollutants. Man is causing damage to air, water and soil. Our atmosphere on global scale is highly polluted. In this paper, our interest is mainly to focus on these pollutants, as they are related to more severe problems in human health and environmental impact. 


Atmosphere ◽  
2020 ◽  
Vol 11 (7) ◽  
pp. 750
Author(s):  
Hoang Ngoc Khue Vu ◽  
Quang Phuc Ha ◽  
Duc Hiep Nguyen ◽  
Thi Thu Thuy Nguyen ◽  
Thoai Tam Nguyen ◽  
...  

Along with its rapid urban development, Ho Chi Minh City (HCMC) in recent years has suffered a high concentration of air pollutants, especially fine particulate matters or PM2.5. A comprehensive study is required to evaluate the air quality conditions and their health impact in this city. Given the lack of adequate air quality monitoring data over a large area of the size of HCMC, an air quality modeling methodology is adopted to address the requirement. Here, by utilizing a corresponding emission inventory in combination with The Air Pollution Model-Chemical Transport Model (TAPM-CTM), the predicted concentration of air pollutants is first obtained for PM2.5, NOx, and SO2. Then by associating the pollutants exposed with the mortality rate from three causes, namely Ischemic Heart Disease (IHD), cardiopulmonary, and lung cancer, the impact of air pollution on human health is obtained for this purpose. Spatial distribution has shown a high amount of pollutants concentrated in the central city with a high density of combustion vehicles (motorcycles and automobiles). In addition, a significant amount of emissions can be observed from stevedoring and harbor activities, including ferries and cargo handling equipment located along the river. Other sources such as household activities also contribute to an even distribution of emission across the city. The results of air quality modeling showed that the annual average concentrations of NO2 were higher than the standard of Vietnam National Technical Regulation on Ambient Air Quality (QCVN 05: 2013 40 µg/m3) and World Health Organization (WHO) (40 µg/m3). The annual average concentrations of PM2.5 were 23 µg/m3 and were also much higher than the WHO (10 µg/m3) standard by about 2.3 times. In terms of public health impacts, PM2.5 was found to be responsible for about 1136 deaths, while the number of mortalities from exposure to NO2 and SO2 was 172 and 89 deaths, respectively. These figures demand some stringent measures from the authorities to potentially remedy the alarming situation of air pollution in HCM City.


2019 ◽  
Vol 1 (5) ◽  
Author(s):  
Fahad Ahmed ◽  
Sahadat Hossain ◽  
Shakhaoat Hossain ◽  
Abu Naieum Muhammad Fakhruddin ◽  
Abu Tareq Mohammad Abdullah ◽  
...  

2019 ◽  
Vol 15 (4) ◽  
pp. 76-107
Author(s):  
Nagarathna Ravi ◽  
Vimala Rani P ◽  
Rajesh Alias Harinarayan R ◽  
Mercy Shalinie S ◽  
Karthick Seshadri ◽  
...  

Pure air is vital for sustaining human life. Air pollution causes long-term effects on people. There is an urgent need for protecting people from its profound effects. In general, people are unaware of the levels to which they are exposed to air pollutants. Vehicles, burning various kinds of waste, and industrial gases are the top three onset agents of air pollution. Of these three top agents, human beings are exposed frequently to the pollutants due to motor vehicles. To aid in protecting people from vehicular air pollutants, this article proposes a framework that utilizes deep learning models. The framework utilizes a deep belief network to predict the levels of air pollutants along the paths people travel and also a comparison with the predictions made by a feed forward neural network and an extreme learning machine. When evaluating the deep belief neural network for the case study undertaken, a deep belief network was able to achieve a higher index of agreement and lower RMSE values.


Atmosphere ◽  
2020 ◽  
Vol 11 (5) ◽  
pp. 516 ◽  
Author(s):  
Jason Sacks ◽  
Neal Fann ◽  
Sophie Gumy ◽  
Ingu Kim ◽  
Giulia Ruggeri ◽  
...  

Scientific evidence spanning experimental and epidemiologic studies has shown that air pollution exposures can lead to a range of health effects. Quantitative approaches that allow for the estimation of the adverse health impacts attributed to air pollution enable researchers and policy analysts to convey the public health impact of poor air quality. Multiple tools are currently available to conduct such analyses, which includes software packages designed by the World Health Organization (WHO): AirQ+, and the U.S. Environmental Protection Agency (U.S. EPA): Environmental Benefits Mapping and Analysis Program—Community Edition (BenMAP—CE), to quantify the number and economic value of air pollution-attributable premature deaths and illnesses. WHO’s AirQ+ and U.S. EPA’s BenMAP—CE are among the most popular tools to quantify these effects as reflected by the hundreds of peer-reviewed publications and technical reports over the past two decades that have employed these tools spanning many countries and multiple continents. Within this paper we conduct an analysis using common input parameters to compare AirQ+ and BenMAP—CE and show that the two software packages well align in the calculation of health impacts. Additionally, we detail the research questions best addressed by each tool.


2019 ◽  
Vol 34 (2) ◽  
pp. 211-218
Author(s):  
Toluwanimi Mobolade Oni ◽  
Godson R.E.E. Ana

Abstract Background There is an increasing range of adverse health effects associated with air pollution at very low concentrations. Few studies have assessed respiratory parameters among filling station attendants. Objectives This study assessed air pollutants; particulate matter (PM10) and total volatile organic compounds (TVOC) concentrations at filling stations as well as determined forced expiratory volume in one second (FEV1) and peak expiratory flow rate (PEFR) levels among filling station attendants. Methods A cross-sectional study was conducted to assess PM10 and TVOC concentrations at 20 systematically selected filling stations in Ibadan North Local Government Area, Ibadan for 2 months using a Thermo Scientific pDR 1500 PM10 monitor and SF2000-TVOC meter. FEV1 and PEFR levels were measured in order to assess the effect of exposure to PM10 and TVOC on lung function of 100 filling station attendants using a PIKO-1 Electronic peakflow/FEV1 meter. Results Total mean PM10 concentrations (μg/m3) in the morning (43.7±16.5) and afternoon (27.8±7.9) were significantly lower (p<0.01) than the World Health Organization (WHO) guideline limit (50 μg/m3). Total mean TVOC concentrations (ppm) in the morning (12.0±3.4) and afternoon (5.6±2.4) were however significantly higher (p<0.01) than the Occupational Safety and Health Administration (OSHA) guideline limit (3 ppm). Mean FEV1 for filling station attendants was 1.63±0.39 and PEFR was 171.7±45.9. Conclusion Filling stations are hotspots for the emission of VOCs and PM10. However, filling station attendants in this study are at risk of exposure to high concentrations of VOCs but not PM10. FEV1 and PEFR values among filling station attendants were very low which could possibly be attributed to extended exposure to air pollutants. Regular medical examinations should also be conducted on filling station attendants in order to aid early detection of deviations in their health status.


2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Wen-jie Zou ◽  
Tai-Yu Lin ◽  
Yung-ho Chiu ◽  
Ting Teng ◽  
Kuei Ying Huang

Finding the balance between economic development and environmental protection is a major problem for many countries around the world. Air pollution caused by economic growth has caused serious damage to humans’ living environment, and as improving energy and resource efficiencies is the first priority, many countries are targeting to move towards a sustainable environment and economic development. This study uses the modified dynamic SBM (slack-based measure) model to explore the economic efficiency and air pollutants emission efficiency in Taiwan’s counties and cities from 2012 to 2015 by taking labor, motor vehicles, and electricity consumption as inputs and average disposable income as output. Particulate matter (PM2.5), nitrogen oxide emissions (NO2), and sulfur oxide emissions (SO2) are undesirable outputs, whereas factory fixed assets are a carry-over variable, and the results show the following: (1) the regions with the best overall efficiency between 2012 and 2015 include Taipei City, Keelung City, Hsinchu City, Chiayi City, and Taitung County; (2) in counties and cities with poor overall efficiency performance, the average disposable income per household has no significant relationship with air pollutant emissions; (3) in counties and cities where overall efficiency is poor, the average efficiency of each household’s disposable income is small; and (4) except for the five counties and cities with the best overall performance, the three air pollutants in the other fourteen counties and cities are high. Overall, the air pollution of most areas needs improvement.


Sign in / Sign up

Export Citation Format

Share Document