scholarly journals Design and manufacture of air quality measurements based on arduino ATmega 2560 using dust ZH03A laser sensor

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
I Made Satriya Wibawa ◽  
I Ketut Putra
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Laser Sensor ◽  
Pm 2.5 ◽  
Average Value ◽  
Standard Index ◽  
Air Quality Measurements ◽  
Standard Tool ◽  
Pm2.5 And Pm10 ◽  
Design And Manufacture

This study aims to design an air quality measuring instrument that is more efficient, relatively cheaper and can be carried because it has a smaller shape and size compared to the existing tools in the Meteorology, Climatology and Geophysics Agency (BMKG). The main processor uses the Arduino ATmega 2560 microcontroller. This microcontroller functions as a processor for PM2.5 and PM10 concentrations which are the output of the ZH03A sensor. The design results are calibrated with a standard tool, namely BAM1020 which is owned by the BMKG air quality sector to measure air quality. The calibration results obtained that the average value issued by the reference tool which is used as a standard compared to the ZH03A sensor in the design results for PM 2.5 is 6.5 µm / m3, and for the average value of PM1.0 is 2.8 µm / m3 the calculated Air Pollution Standard Index (ISPU) value is 126 µm / m3 including the medium category according to the Air Pollution Standard Index.

scholarly journals THE IMPACT OF COVID-19 QUARANTINE MEASURES ON THE LEVEL OF AIR POLLUTION IN THE SHCHUCHINSK-BOROVSKAYA RESORT AREA

2021 ◽  
Author(s):  
Maikanov Balgabay ◽  
Auteleeva Laura
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Sulfur Dioxide ◽  
Maximum Permissible Concentration ◽  
Atmospheric Air ◽  
Standard Index ◽  
High Degree ◽  
The Impact ◽  
Very High

In this study, changes in air quality were quantified before and during the introduction of COVID-19 quarantine measures in the Shchuchinsk-Borovskaya resort area. During 2020, there were only 49 resolutions "On strengthening restrictive quarantine measures in the territory of the Akmola region"on the territory of the resort zone. The maximum permissible concentration of sulfur dioxide in the atmospheric air has been exceeded. We have revealed that in the entire territory of the resort area for 2018-2019. atmospheric air pollution, according to the standard index, was elevated and high (3.38 to 6.4), according to the highest frequency (16.6 to 100%), there was a very high degree of pollution, and in 2020, the indicators of the standard index and the highest frequency were within the norm.

scholarly journals Evaluation and Treatment Analysis of Air Quality Including Particulate Pollutants: A Case Study of Shandong Province, China

2020 ◽  
Vol 17 (24) ◽  
pp. 9476
Author(s):  
Bowen Jiang ◽  
Yuangang Li ◽  
Weixin Yang
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Pollution Control ◽  
Forecast Model ◽  
Maximum Error ◽  
Shandong Province ◽  
Air Pollution Control ◽  
Control Policies ◽  
Pm2.5 And Pm10

At present, China’s air pollution and its treatment effect are issues of general concern in the academic circles. Based on the analysis of the development stages of air pollution in China and the development history of China’s air quality standards, we selected 17 cities of Shandong Province, China as the research objects. By expanding China’s existing Air Quality Index System, the air quality of six major pollutants including PM2.5 and PM10 in 17 cities from February 2017 to January 2020 is comprehensively evaluated. Then, with a forecast model, the air quality of the above cities in the absence of air pollution control policies since June 2018 was simulated. The results of the error test show that the model has a maximum error of 4.67% when simulating monthly assessment scores, and the maximum mean error of the four months is 3.17%. Through the comparison between the simulation results and the real evaluation results of air quality, we found that since June 2018, the air pollution control policies of six cities have achieved more than 10% improvement, while the air quality of the other 11 cities declined. The different characteristics of pollutants and the implementation of governance policies are perhaps the main reasons for the above differences. Finally, policy recommendations for the future air pollution control in Shandong and China were provided.

scholarly journals Trend of Particulate Matter PM 2.5 and PM 10 in Dhaka City

1970 ◽  
Vol 46 (3) ◽  
pp. 389-398 ◽  
Author(s):  
MA Rouf ◽  
M Nasiruddin ◽  
AMS Hossain ◽  
MS Islam
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Air Quality ◽  
Winter Season ◽  
Ambient Air ◽  
Quality Data ◽  
Dhaka City ◽  
Monsoon Period ◽  
Pm 2.5 ◽  
Pm 10

Dhaka City has been affecting with severe air pollution particularly by particulate matter. The ambient air quality data for particulate matter were collected during April 2002 to September 2005 at the Continuous Air Quality Monitoring Station (CAMS) located at Sangshad Bhaban, Dhaka. Data reveal that the pollution from particulate matter greatly varies with climatic condition. While the level comes down the limit value in the monsoon period (April-October), it goes beyond the limit during non-monsoon time (November-March). The latest data show that during monsoon period PM 10 concentration varies from 50 μg/m3 to 80 μg/m3 and PM 2.5 concentration from 20 μg/m3 to 60 μg/m3 and during non monsoon period PM 10 varies from 100 μg/m3 to 250 μg/m3 and PM 2.5 varies from 70 μg/m3 to 165 μg/m3. The seasonal variation clearly indicates the severe PM 10 pollution during the dry winter season and also sometime during post-monsoon season in Dhaka City. Keywords: Air pollution; PM 2.5; PM 10; Air quality DOI: http://dx.doi.org/10.3329/bjsir.v46i3.9049 BJSIR 2011; 46(3): 389-398

scholarly journals The Impact of Air Pollution on Domestic Tourism in China: A Spatial Econometric Analysis

2019 ◽  
Vol 11 (15) ◽  
pp. 4148 ◽  
Author(s):  
Daxin Dong ◽  
Xiaowei Xu ◽  
Hong Yu ◽  
Yanfang Zhao
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Local Governments ◽  
Spillover Effects ◽  
Tourism Industry ◽  
Spatial Econometric ◽  
Pm 2.5 ◽  
Domestic Tourism ◽  
The Impact ◽  
Domestic Tourist

This study utilizes a spatial econometric model to analyze the impact of air pollution on domestic tourism in China. Based on a panel dataset covering 337 cities from 2004–2013, this study derives the following findings. (1) Air pollution significantly reduces domestic tourist arrivals in the local city. On average, if the concentration of PM 2.5 (particulate matter equal to or less than 2.5 micrometers in width) in one city increases by 1 μ g/m 3 , the number of domestic tourists to the city declines by 0.7%. (2) Air pollution demonstrates significant spatial spillover effects. If the PM 2.5 in other cities simultaneously increases by 1 μ g/m 3 , the number of domestic tourists traveling to the local city rises by 4.1%. (3) The magnitude of the spillover effects of air pollution is larger than the negative direct effects on local cities. This study suggests that enhancing air quality in the local area will effectively promote the domestic tourism industry in the local city. In addition, it is implied that a simultaneous improvement in the air quality in all cities might not lead to an increase in the number of domestic tourist arrivals. Thus, in order to deal with the spillover effects of air pollution on the domestic tourism industry, local governments should make efforts to develop cross-city or cross-region tourism.

scholarly journals Identifying Air Pollution As a Major Threat to Newly Grown Ecotourism Spot in Baranti, Purulia, West Bengal, India

2021 ◽  
Vol 14 (4) ◽  
pp. 1895-1890
Author(s):  
Dibyendu Saha
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
West Bengal ◽  
Ambient Air ◽  
Sustainable Growth ◽  
Mean Values ◽  
Pm 2.5 ◽  
Lower Productivity ◽  
The Government ◽  
Pm 10

Air pollution is a notable worldwide warning to human health. Every year, air pollution is accountable for more than five million death, out of these 91% occur in lower-middle-income countries. In addition to this, various respiratory & cardiovascular diseases, lower productivity and increased mortality are also related to air pollution, that’s why it’s often called a silent or invisible killer. However, Ecotourism generates opportunities for tourists wishing to enjoy the natural environment without destructing or disturbing its habitats. It is increasingly considered instrumental in helping the local socio-economic sustainable development and also as a means for generating revenues with the object of preserving the local traditional culture and craft. Environmental ambient quality must be considered as a crucial aspect in the predetermining process of prospective tourists and tourism destinations. The present study site Baranti, in Raghunathpur subdivision of Purulia district, West Bengal, India is situated in a splendid location within Baranti Lake and Baranti Hill, both has emerged as a fast-grown ecotourism spot over the last 7-8 years. The present study was carried out through survey questionnaire method from May 2020 (01.05.2020) - November 2020 (30.11.2020) on different categories of respondents like local people, hotel-resort owners & staff, local businessmen and tourists and simultaneously during this period, the air quality was also measured in respect of temperature, humidity, PM 2.5, PM 10, particles and CO2 through Temtop M2000C Air Quality Monitor at the said site. In the observation, ambient air quality was measured at three hours intervals on a day every week and 10 readings were taken from each site at a distance of 10 meters apart and the mean values were considered for statistical analyses. It was found that average PM 2.5, PM 10 & CO2 in ambient air in the study site were 64.26 ug/m3, 89.43 ug/m3 & 701.66 respectively therefore unexpectedly the ambient air is not only polluted but also moderate to unhealthy in respect of the said parameters as judged by the yardstick of Air Quality Guideline Levels laid down by the WHO. A well-defined management plan is required for controlling and minimising the said pollution with the interference of the Government and other agencies for the sustainable growth and development of the said ecotourism spot.

scholarly journals Air Quality Trends amid Covid-19 Lockdown in Metro Manila, Philippines: A Preliminary Case Review

2020 ◽  
Vol 2 (6) ◽  
pp. 145-150
Author(s):  
Jasmen S. Pasia ◽  
EnP Moises C. Torrentira, Jr. ◽  
Hazel C. Navarra ◽  
Michael Makilan
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Environmental Science ◽  
Satellite Image ◽  
Pollution Prevention ◽  
The Philippines ◽  
Pollution Level ◽  
Case Review ◽  
Pm 2.5 ◽  
Metro Manila

CoVID-19 pandemic forced a countrywide lockdown in the Philippines from March 16, 2020 to May 15, 2020 and extended to May 31, 2020 in Metro Manila and some parts of Central Luzon. Because of these forced restrictions, the air pollution level in Metro Manila drastically slowed down just a few weeks upon the implementation of the lockdown. Therefore, this study aimed to establish a preliminary case review on the implications of the lockdown to the air quality in the country’s capital with the aid of data from the Centre for Research on Energy and Clean Air (CREA) and Airtoday.ph station. The empirical analysis revealed that when Metro Manila was under Enhanced Community Quarantine (ECQ), tropospheric nitrogen oxide (NO2) dropped by approximately 52% compared to the 2019 levels in the same period. The city also registered the lowest PM 2.5 air pollution levels during the first 30 days of the lockdown with an average of 11.59 ug/m3. Moreover, the satellite image from the Institute of Environmental Science and Meteorology (IESM), UP Diliman showed a lower Atmospheric Optical Depth (AOD) of 0.01, which means that the air is clean during the lockdown period when compared with the AOD value during the same period in 2018 and 2019. At the Lung Center of the Philippines, a comparison of pre-ECQ and ECQ air quality levels showed that PM2.5 is reduced from 80% to 180%, particularly during evenings and early mornings. A similar trend along EDSA Munoz, where 70-90% reduction of PM 2.5 was observed since the ECQ. Overall, the study revealed that lockdown measures, fortunately, have brought the opportunity to rationalize human impact on the environment. Although we could say those travel restrictions or lockdown is an unconventional measure to air pollution prevention and control, it is possible to improve air quality by reducing nonessential individual movements by highlighting the importance of fuel-free activities or implementing short-term lockdowns (3-5 days).

scholarly journals COVID-19 higher morbidity and mortality in Chinese regions with lower air quality

2020 ◽  
Author(s):  
Riccardo Pansini ◽  
Davide Fornacca
Keyword(s):  
Air Pollution ◽  
Risk Factor ◽  
Air Quality ◽  
Viral Infections ◽  
List Type ◽  
High Carbon ◽  
Pm 2.5 ◽  
Short Summary ◽  
New Form ◽  
Detrimental Impact

AbstractWe investigated the geographical character of the COVID-19 infection in China and correlated it with satellite- and ground-based measurements of air quality. Controlling for population size, we found more viral infections in those areas afflicted by high Carbon Monoxide, formaldehyde, PM 2.5, and Nitrogen Dioxide values. Higher mortality was also correlated with relatively poor air quality. Air pollution appears to be a risk factor for the incidence of this disease, similar to smoking. This suggests the detrimental impact of air pollution in these types of respiratory epidemics.Short summaryThere is a significant correlation between air pollution and COVID-19 spread and mortality in China.The correlation stands at a second-order administration level, after controlling for varying population densities and removing Wuhan and Hubei from the dataset.Living in an area with low air quality is a risk factor for becoming infected and dying from this new form of coronavirus.

scholarly journals THE NATIONAL CAPITAL UNDER THE EFFECT OF SEVERE AIR POLLUTION – A CONCERN FOR COMMUNITY LIVING AND EXISTENCE

2019 ◽  
pp. 78-82
Author(s):  
Dr. Yashoda Tammineni
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Quality Index ◽  
Air Quality Index ◽  
Pm 2.5 ◽  
Pollution Levels ◽  
The People ◽  
National Capital ◽  
Pm 10 ◽  
National Emergency

It’s of great concern to observe that the capital of our country, Delhi is under the severe grip of air pollution since a couple of days sending most alarming indications even for a national emergency. The Air quality index (AQI) entered the "severe plus" or "emergency" category and the Pollution levels in Delhi peaked to a three-year high in the month of November this year. Alarmingly, the level of particulate matter (PM) in the air reached intolerable level and the real time AQI was as high as 999 at monitoring stations at many places in Delhi. The smog (smoke and fog) has reached such an intolerable state that the people are suffering from severe pulmonary disorders and the visual clearance has enormously reduced leading to road accidents and even effected the air trafficking. Until and unless the AQI comes down drastically general living conditions in Delhi seems to be next to impossible. KEYWORDS: Air quality index (AQI), PM 2.5 Pollution, PM 10 Pollution, Severe Smog, Pulmonary disorders

scholarly journals COVID-19 Higher Mortality in Chinese Regions With Chronic Exposure to Lower Air Quality

2021 ◽  
Vol 8 ◽  
Author(s):  
Riccardo Pansini ◽  
Davide Fornacca
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Viral Infections ◽  
Human Mobility ◽  
Public Health Issue ◽  
High Carbon ◽  
Pm 2.5 ◽  
Multi Scale ◽  
Pollution Exposure

We investigated the geographical character of the COVID-19 infection in China and correlated it with satellite- and ground-based measurements of air quality. Controlling for population density, we found more viral infections in those prefectures (U.S. county equivalent) afflicted by high Carbon Monoxide, Formaldehyde, PM 2.5, and Nitrogen Dioxide values. Higher mortality was also correlated with relatively poor air quality. When summarizing the results at a greater administrative level, we found that the 10 provinces (U.S. state equivalent) with the highest rate of mortality by COVID-19, were often the most polluted but not the most densely populated. Air pollution appears to be a risk factor for the incidence of this disease, despite the conventionally apprehended influence of human mobility on disease dynamics from the site of first appearance, Wuhan. The raw correlations reported here should be interpreted in a broader context, accounting for the growing evidence reported by several other studies. These findings warn communities and policymakers on the implications of long-term air pollution exposure as an ecological, multi-scale public health issue.

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