scholarly journals EFFECT OF LOCKDOWN DUE TO COVID-19 PANDEMIC ON AIR QUALITY IN THE INDUSTRIAL CITY OF EASTERN INDIA

2021 ◽  
Vol 16 (10) ◽  
Author(s):  
Rajrupa Ghosh
Keyword(s):  
Air Quality ◽  
Carbon Sink ◽  
Secondary Data ◽  
Eastern India ◽  
Project Proposal ◽  
Pollution Levels ◽  
Mining City ◽  
Central Pollution Control Board ◽  
High Pollution ◽  
Satisfactory State

The lockdown due to coronavirus (COVID-19) was forced in India from March, 25 to May 3 2020 as precautionary actions in contradiction of the diffusion of infectious virus. The objective of this study is to analyse the changes in air quality between pre and during the lockdown in Asansol, the “coal mining city” of Eastern India is characterized by high pollution levels due to several industries leading to human discomfort and even health problems. Secondary data of seven parameters like CO, SO2, NO2, PM2.5, PM10, NH3, and O3 have been collected from the website of the Central Pollution Control Board, India and AQI were calculated as per the calculator provided by CPCB. The result displays a significant reduction of seven parameters from 33.31 % (SO2) to 60.44 % (PM2.5) due to the shut down of all manufacturing units and transportation throughout the lockdown period. The air quality index (AQI) was also upgraded from a very poor to a satisfactory state during this period. Plants are the main carbon sink, so, a green belt project proposal for this polluted city has been recommended to improve air quality management. This lockdown (temporarily) showed some vaccine effect on the air quality, but this is totally against economic growth.

scholarly journals Impacts on Air Quality Index in the Industrial town of Asansol (West Bengal, India) due to COVID-19 lockdown

2020 ◽  
Author(s):  
Rajrupa Ghosh
Keyword(s):  
Air Quality ◽  
West Bengal ◽  
Secondary Data ◽  
Mining City ◽  
Industrial Town ◽  
Before And After ◽  
The Status ◽  
Central Pollution Control Board ◽  
Pm2.5 And Pm10 ◽  
Full Swing

Abstract The lockdown phase associated with COVID-19 pandemic initiated in full swing on and from 25th March, 2020 as preventive measures against the spreading of Corona virus. The objective of this study is to analyse the status of air quality of before and after lockdown in Asansol city which is second largest city of West Bengal, India and also known as “coal mining city”. Secondary data of five parameters like CO, SO2, NO2, PM2.5 and PM10 have been collected from Central Pollution Control Board, India. The result shows significant decrease of five parameters from 42.4 % (CO) to 63.4 % (NO2) due to close down of all industrial and transport activities during lockdown period. Based on different investigation a green belt development plan for this polluted city has been suggested for sustainable air quality management.

scholarly journals COLLABORATIVE AIR QUALITY MAPPING OF DIFFERENT METROPOLITAN CITIES OF INDIA

2021 ◽  
Vol XLIII-B4-2021 ◽  
pp. 87-94
Author(s):  
R. Dubey ◽  
S. Bharadwaj ◽  
M. I. Zafar ◽  
S. Biswas
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Prediction Models ◽  
Dispersion Model ◽  
Time Of Day ◽  
Quality Data ◽  
Pollution Levels ◽  
Health Related ◽  
Monitoring And Forecasting ◽  
Central Pollution Control Board

Abstract. Environmental pollution has become extremely serious as a result of today's technological advancements all over the world. One of the most important environmental and public health risks is air pollution. The exponential growth of population, vehicular density on highways, urbanization, and other factors are rising air pollution in cities, necessitating techniques for monitoring and forecasting air quality or determining its health consequences. Various experiments are being conducted on city air quality and its distribution through the built climate. The amount of emissions in the air varies according to the time of day as depicted it is merely high in morning time between 9 to 10 am and between 5 to 6 pm in all cities. These collected data are also characterized as peak hour, average hour, and off-peak hour. It also varies geographically and during special occasions. Since computing and showcasing of air pollution levels require terrain data, air quality data from the open sources i.e. CPCB (central pollution control board, India), and air pollution prediction models. Acculumating the data of the air pollution parameter from the open sources of cities based on typically very crowded, averagely crowded, and thinly crowded areas across the city and then mapping it on ArcGIS. The data monitoring has been done for the whole year merely main emphasizes has been done on the three seasons autumn, winter, and summer (January, May, and August). Also, in winter the value of having pollutants is high due to winter inversion and in the morning also the value is higher, and in monsoon, due to precipitation, it decreases. The dispersion model help in considering the wind speed and direction, the computed data from each source location reaching out to the monitoring sensing station from the comparatively adding to the value of pollutant. With the help of questionnaires, computed out to the result that people residing or having the workplace near to the busy crossing are more promising to have the health-related issue like chocking, respiratory diseases. Men are merely more affected by this between the age of 37 to 63 years.

scholarly journals Association of temporary Environmental Protection Agency regulation suspension with industrial economic viability and local air quality in California, United States

2021 ◽  
Vol 33 (1) ◽  
Author(s):  
Emily Chang ◽  
Kenneth Zhang ◽  
Margaret Paczkowski ◽  
Sara Kohler ◽  
Marco Ribeiro
Keyword(s):  
United States ◽  
Air Quality ◽  
Environmental Protection ◽  
Environmental Protection Agency ◽  
Manufacturing Industry ◽  
Economic Viability ◽  
Treatment Control ◽  
Oil Refineries ◽  
Pollution Levels ◽  
The Impact

Abstract Background This study seeks to answer two questions about the impacts of the 2020 Environmental Protection Agency’s enforcement regulation rollbacks: is this suspension bolstering the economic viability of industries as oil and manufacturing executives claim they will and are these regulations upholding the agency’s mission of protecting the environment? Results To answer the former question, we utilized 6 months of state employment level data from California, United States, as a method of gauging the economic health of agency-regulated industries. We implemented a machine learning model to predict weekly employment data and a t-test to indicate any significant changes in employment. We found that, following California's state-issued stay-at-home order and the agency’s regulation suspension, oil and certain manufacturing industries had statistically significant lower employment values. To answer the latter question, we used 10 years of PM2.5 levels in California, United States, as a metric for local air quality and treatment–control county pairs to isolate the impact of regulation rollbacks from the impacts of the state lockdown. Using the agency’s data, we performed a t-test to determine whether treatment–control county pairs experienced a significant change in PM2.5 levels. Even with the statewide lockdown—a measure we hypothesized would correlate with decreased mobility and pollution levels—in place, counties with oil refineries experienced the same air pollution levels when compared to historical data averaged from the years 2009 to 2019. Conclusions In contrast to the expectation that the suspension would improve the financial health of the oil and manufacturing industry, we can conclude that these industries are not witnessing economic growth with the suspension and state shutdown in place. Additionally, counties with oil refineries could be taking advantage of these rollbacks to continue emitting the same amount of PM2.5, in spite of state lockdowns. For these reasons, we ask international policymakers to reconsider the suspension of enforcement regulations as these actions do not fulfill their initial expectations. We recommend the creation and maintenance of pollution control and prevention programs that develop emission baselines, mandate the construction of pollution databases, and update records of pollution emissions.

scholarly journals Modeling heavy metal release in the epiphytic lichen Evernia prunastri

2021 ◽  
Author(s):  
Andrea Vannini ◽  
Luca Paoli ◽  
Riccardo Fedeli ◽  
Sharon Kwambai Kangogo ◽  
Massimo Guarnieri ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Remote Area ◽  
Metal Release ◽  
Evernia Prunastri ◽  
Epiphytic Lichen ◽  
Pollution Levels ◽  
Short Period ◽  
High Pollution ◽  
Heavy Metal Release ◽  
Very High

AbstractIn this study, the release of Cu2+ and Zn2+ was investigated and modeled in the epiphytic lichen Evernia prunastri. Samples were incubated with solutions containing these metals at ecologically relevant concentrations (10 and 100 μM) and then transplanted to a remote area and retrieved after 1, 2, 3, 6, 12, and 18 months. The results showed that, after 12 months, all samples faced similar metal reductions of ca. 80–85%, but after this period, all the involved processes seem to be no longer capable of generating further reductions. These results suggest that the lichen E. prunastri can provide information about environmental improvements after exposure to high or very high pollution levels in a relatively short period of time.

scholarly journals Estimating lockdown-induced European NO<sub>2</sub> changes using satellite and surface observations and air quality models

2021 ◽  
Vol 21 (9) ◽  
pp. 7373-7394
Author(s):  
Jérôme Barré ◽  
Hervé Petetin ◽  
Augustin Colette ◽  
Marc Guevara ◽  
Vincent-Henri Peuch ◽  
...  
Keyword(s):  
Machine Learning ◽  
Air Quality ◽  
Urban Areas ◽  
Gradient Boosting ◽  
Quality Models ◽  
Pollution Levels ◽  
Surface Station ◽  
Concentration Changes ◽  
Monitoring Service ◽  
No2 Pollution

Abstract. This study provides a comprehensive assessment of NO2 changes across the main European urban areas induced by COVID-19 lockdowns using satellite retrievals from the Tropospheric Monitoring Instrument (TROPOMI) onboard the Sentinel-5p satellite, surface site measurements, and simulations from the Copernicus Atmosphere Monitoring Service (CAMS) regional ensemble of air quality models. Some recent TROPOMI-based estimates of changes in atmospheric NO2 concentrations have neglected the influence of weather variability between the reference and lockdown periods. Here we provide weather-normalized estimates based on a machine learning method (gradient boosting) along with an assessment of the biases that can be expected from methods that omit the influence of weather. We also compare the weather-normalized satellite-estimated NO2 column changes with weather-normalized surface NO2 concentration changes and the CAMS regional ensemble, composed of 11 models, using recently published estimates of emission reductions induced by the lockdown. All estimates show similar NO2 reductions. Locations where the lockdown measures were stricter show stronger reductions, and, conversely, locations where softer measures were implemented show milder reductions in NO2 pollution levels. Average reduction estimates based on either satellite observations (−23 %), surface stations (−43 %), or models (−32 %) are presented, showing the importance of vertical sampling but also the horizontal representativeness. Surface station estimates are significantly changed when sampled to the TROPOMI overpasses (−37 %), pointing out the importance of the variability in time of such estimates. Observation-based machine learning estimates show a stronger temporal variability than model-based estimates.

scholarly journals An Analysis of Reported Crime against Women and Girls in Eastern India

2021 ◽  
pp. 258-264
Author(s):  
Rituparna Paul ◽  
Arunasis Goswami ◽  
Biswajit Pal
Keyword(s):  
West Bengal ◽  
Secondary Data ◽  
Law And Order ◽  
Eastern India ◽  
Representation Of Women ◽  
The Status ◽  
Women And Girls ◽  
Reported Crime ◽  
Crimes Against Women ◽  
Status Of Women

Crimes against women and girls have been increasing in recent years as reported by the National Crime Records Bureau. It becomes a serious social evil worldwide. The study has been tried to find out the trend of crimes against women for the period of the last ten years (2010-2019) in the states of eastern India i.e. Bihar, Jharkhand, Orissa and West Bengal. The study has been based on secondary data from the National Crime Records Bureau, Govt of India. The data have been extracted and analyzed to get the status of crimes in particular categories. The crime records of Bihar show an increasing rate of women assault cases. Jharkhand data shows that indecent representation of women has increased in recent years. In West Bengal Cruelty by husband is the most reported crime in West Bengal and it is also observed that rape cases were decreased in West Bengal continuously in the last ten years. It has been found that Orissa and Bihar are significantly high in crimes like women assault on the internet, an insult to the modesty of women, kidnapping and rape comparing other states of study. Cruelty by husbands and cases under the immoral traffic act had significantly higher in West Bengal compared to other states under study. The Dowry death and kidnapping and abduction are significantly high in Bihar. The different levels of crimes against women in different states not only indicates the status of women in the society and the law and order situations of that state but also it is a reflection of the socio-psychological aspects. Proper implementation of laws along with awareness of related issues, along with continuous monitoring can play a crucial role to minimize the overall crime scenario.

scholarly journals Novel Tools Supporting Knowledge Translation for Public Health Practice in British Columbia, Canada

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Joanne Stares ◽  
Jenny Sutherland
Keyword(s):  
Public Health ◽  
Health Care ◽  
Air Quality ◽  
Public Health Practice ◽  
Secondary Data ◽  
Data Sets ◽  
Health Practice ◽  
Notifiable Diseases ◽  
Health Practitioners ◽  
Public Health Practitioners

ABSTRACT ObjectivesUnderlying the delivery of services by the universal Canadian health care system are a number of rich secondary administrative health data sets which contain information on persons who are registered for care and details on their contacts with the system. These datasets are powerful sources of information for investigation of non-notifiable diseases and as an adjunct to traditional communicable disease surveillance. However, there are gaps between public health practitioners, access to these data, and access to experts in the use of these secondary data. The data linkage requires in-depth knowledge of these data including usages, limitations and data quality issues and also the skills to extract data to support secondary usage. OLAP reports have been developed to support operation needs but not on advanced analytics reports for surveillance and cohort study. To fill these gaps, we developed a set of web-based modular, parameterized, extraction and reporting tools for the purpose of: 1) decreasing the time and resources necessary to fill general secondary data requests for public health audiences; 2) quickly providing information from descriptive analysis of secondary data to public health practitioners; 3) informing the development of data feeds for continued enhanced surveillance or further data access requests; 4) assisting in preliminary stages of epidemiological investigations of non-notifiable diseases; and, 5) facilitating access to information from secondary data for evidence-based decision making in public health. ApproachWe intend to present these tools by case study of their application to small area analysis of secondary data in the context of air quality concerns. Data sources include individuals registered for health care coverage in BC, hospital separations, physician consultations, chronic disease registries, and drugs dispensation. Data sets contain complete information from 1992. Data were extracted and analyzed to describe the occurrence of health service utilization for cardiovascular and respiratory morbidity. Analysis was undertaken for BC residents in areas identified by local public health as priorities for monitoring. Health outcomes were directly standardized by age and compared to provincial trends by use of the comparative morbidity figure. ResultsResults will include descriptive epidemiological analysis of secondary data relating to respiratory and cardiovascular morbidity in the context of air quality concerns, summary of next steps, as well as an assessment of tool performance. ConclusionsWhere adopted tools such as these can make information from secondary data more accessible to support public health practice, particularly in regions with low analytical or epidemiological capacity.

scholarly journals Influences of boundary layer phenomena and meteorology on ambient air quality status of an urban area in eastern India

Atmósfera ◽  
2018 ◽  
Vol 31 (1) ◽  
pp. 69-86 ◽  
Author(s):  
Sharadia Dey ◽  
◽  
Srimanta Gupta ◽  
Arun Chakraborty ◽  
Precious Sibanda ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Air Quality ◽  
Urban Area ◽  
Ambient Air ◽  
Eastern India ◽  
Ambient Air Quality ◽  
Quality Status

Indoor Air Quality Monitoring Systems

2021 ◽  
Vol 11 (3) ◽  
pp. 1-14
Author(s):  
Rasha AbdulWahhab ◽  
Karan Jetly Jetly ◽  
Shqran Shakir
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Ad Hoc ◽  
Quality Monitoring ◽  
Monitoring Systems ◽  
Air Quality Monitoring ◽  
Research Activity ◽  
Pollution Levels ◽  
Closed Area

Research activity in the field of monitoring indoor quality systems has increased dramatically in recent years. Monitoring closed areas can reduce health-related risks due to poor or contaminated air quality. In the current COVID pandemic, the population has observed that improving ventilation in the closed area can significantly reduce infection risk. However, the significance of air quality statistics makes highly accurate real-time monitoring systems vital. In this paper, several researchers' protocols and the methodologies for monitoring a good high indoor air quality system are presented. The majority of the reviewed works are aimed to reduce air pollution levels of the atmosphere. The vast majority of the identified works utilized IoT and WSN technology to fix the partial access to sensed data, high cost, and non-scalability of conventional air monitoring systems. Furthermore, ad-hoc approaches are predominantly used to help society change its attitude and impose corrective actions to improve air quality. This paper presents a short but comprehensive review of several researchers works with different approaches to ecological trend analysis capabilities, drawing on existing literature works. Overall, the findings highlight the need for developing systematic protocols for these systems and establishing smart air quality monitoring systems capable of measuring pollutant concentrations in the air.

Research Insights: What will People Pay for SMS Air Quality Alerts and Will They Avoid Air Pollution in Response?

2021 ◽  
Author(s):  
Rema Hanna ◽  
Bridget Hoffmann ◽  
Paulina Oliva ◽  
Jake Schneider
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Air Quality ◽  
Willingness To Pay ◽  
The Past ◽  
High Pollution

Male, younger, and higher-income respondents as well as those who perceived high pollution in recent days showed greater willingness to pay for SMS air quality alerts. Willingness to pay was uncorrelated with actual recent high pollution. Recipients of SMS alerts indicated having received air pollution information via SMS, along with reporting a high-pollution day in the past week and having stayed indoors on the most recent day they perceived pollution to be high. However, alert recipients were not more accurate in identifying which specific days had high pollution than other respondents. Households that received a free N95 mask were more likely to report utilizing a mask with a filter during the past two weeks but not more likely to report using a mask with a filter on the specific days with high particulate matter.

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