Air Pollution Health Risk Assessment (AP-HRA), Principles and Applications

Bhat, Tavoos Hassan; Jiawen, Guo; Farzaneh, Hooman

doi:10.3390/ijerph18041935

Cited by 55 publications

(30 citation statements)

References 117 publications

(69 reference statements)

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“…For example, haze often occurs in Zhejiang Province in winter and reduces visibility, greatly limiting people's travel. Additionally, haze also harms the health of residents, and long-term inhalation of pollutant particles induces respiratory tract infections and other related diseases [23][24][25][26]. In addition, air pollution will affect the supply of labor through the mechanism of residents' happiness [37,38,43].…”

Section: Discussionmentioning

confidence: 99%

“…Decreased air quality increases the prevalence of respiratory diseases, mortality from malignant lung cancers, and the incidence of neurological, cardiac, and neurovascular diseases [21]. The characteristics of the premature deaths caused by PM2.5 (Fine Particulate Matters) in the different types of cities in China provide evidence [5,22,23]. Luo et al (2018) concluded that the mortality rate in areas with better air quality was much lower than that in areas with high levels of pollution.…”

Section: Literature Reviewmentioning

confidence: 99%

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The Impact of Air Quality on Effective Labor Supply: Based on the Survey Data of Zhejiang Province in China

et al. 2021

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Labor is one of the most important factors of production and the basis for the development of social productivity. China’s aging population problem is serious, and the study of the labor supply is of great importance in order to achieve its second centenary goal regarding social development. In this study, four stage mixed sampling was used to conduct a questionnaire survey in the Zhejiang province of China, and 590 valid questionnaires were obtained. An ordered logit model and sample selection model were used to analyze the impact of air quality on the effective labor supply. The results show that the effective labor supply was significantly correlated with air quality. That is, the worse the air quality was, the lower the effective labor supply was, although this relationship was more explicit for people who worked indoors. When air quality impedes residents’ daily lives and even affects their health, it indirectly affects the effective supply of local labor. This paper indicates the causal relationship between economic development and the ecological environment and has enlightening significance for the realization of sustainable development.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

The Impact of Air Quality on Effective Labor Supply: Based on the Survey Data of Zhejiang Province in China

et al. 2021

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“…The table on the left of the figure illustrates the output data generated from the NFT-MEP model with five classes according to T-AQI. The first column shows the time in a 24-h cycle and the second column is the PM concentration (1)(2)(3)(4)(5). The table on the right of the figure illustrates an example of the six hours before the desired time dataset.…”

Section: New Informative Features Generationmentioning

confidence: 99%

“…Air pollution is a major problem in public health that increases health impacts on both the cardiovascular and respiratory systems in humans [1]. There are many important air pollutants, including ground-level ozone (O 3 ), carbon monoxide (CO), nitrogen dioxide (NO 2 ), sulfur dioxide (SO 2 ), and particulate matter (PM), announced by the World Health Organization.…”

Section: Introductionmentioning

confidence: 99%

Neuro-Fuzzy Transformation with Minimize Entropy Principle to Create New Features for Particulate Matter Prediction

Srijiranon

Eiamkanitchat

2021

Applied Sciences

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Air pollution is a major global issue. In Thailand, this issue continues to increase every year, similar to other countries, especially during the dry season in the northern region. In this period, particulate matter with aerodynamic diameters smaller than 10 and 2.5 micrometers, known as PM10 and PM2.5, are important pollutants, most of which exceed the national standard levels, the so-called Thailand air quality index (T-AQI). Therefore, this study created a prediction model to classify T-AQI calculated from both types of PM. The neuro-fuzzy model with a minimum entropy principle model is proposed to transform the original data into new informative features. The processes in this model are able to discover appropriate separation points of the trapezoidal membership function by applying the minimum entropy principle. The membership value of the fuzzy section is then passed to the neural section to create a new data feature, the PM level, for each hour of the day. Finally, as an analytical process to obtain new knowledge, predictive models are created using new data features for better classification results. Various experiments were utilized to find an appropriate structure with high prediction accuracy. The results of the proposed model were favorable for predicting both types of PM up to three hours in advance. The proposed model can help people who are planning short-term outdoor activities.

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“…The risks posed by air pollution lead to side effects such as poor public health and increased mortality [1]. According to the World Health Organization (WHO), 4.2 million people die each year from outdoor air pollution and 3.8 million people die from indoor air pollution [2]. The premature mortality rate from air pollution is expected to double by 2050, which is recognized as the world's most serious environmental and health threat [3].…”

Section: Introductionmentioning

confidence: 99%

Development of Multi-Item Air Quality Monitoring System Based on Real-Time Data

et al. 2021

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Many air pollutants are inhaled by human breathing, increasing the prevalence of respiratory disease and even mortality. With the recent COVID-19 issue, the number of air pollutants affecting humans is demands further investigation. However, there are not many adequate air measuring devices that can cover a variety of air pollutants. In this study, the developed air measurement system is able to measure sixteen air pollutants (PM10, PM2.5, PM4.0, PM1.0, CO2, CH4, temperature, humidity, VOCs, O2, H2S, NH3, SO2, CO, O3, NO2) in real time. The developed ‘multi-item air quality monitoring system’ can measure sixteen air pollutants in real time and transmit them to the server and the smartphone application at the same time. It was developed to reduce air pollutant damage to humans by emergency alerts using the smartphone application. The development system is composed of hardware development (measurement device) and software development (smartphone application, server). To verify the reliability of the developed equipment, a comparative test, temperature–humidity accuracy test, and operating temperature test were conducted. In the comparative test, difference ratios of ±5% for PM10, ±6% for PM2.5, ±4% for O3, ±5% for NO2, ±7% for CO, and ±7% for SO2 were found compared to the professional measuring devices. The temperature and humidity accuracy test result showed high reliability at ±1% and humidity ± 2%. The result of the operating temperature test showed that there was no problem in normal operation, However, further tests including the long-term comparative test and the closed chamber test will be carried out for all sensors. Additional work including a long-term test for more clear reliability of the device and closed chamber accuracy test for all 16-item sensors, data acquisition rate, and data transmit rate are in progress for commercializing the device.

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Air Pollution Health Risk Assessment (AP-HRA), Principles and Applications

Cited by 55 publications

References 117 publications

The Impact of Air Quality on Effective Labor Supply: Based on the Survey Data of Zhejiang Province in China

The Impact of Air Quality on Effective Labor Supply: Based on the Survey Data of Zhejiang Province in China

Neuro-Fuzzy Transformation with Minimize Entropy Principle to Create New Features for Particulate Matter Prediction

Development of Multi-Item Air Quality Monitoring System Based on Real-Time Data

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