Evaluation of Emission of Pollutants in the Atmosphere Produced by Heating Enterprises of Nalchik Town

2018 ◽  
Vol 931 ◽  
pp. 1047-1051 ◽  
Author(s):  
Lezhinka T. Sozaeva
Keyword(s):  
Air Quality ◽  
Pollution Control ◽  
Carbon Oxide ◽  
Populated Area ◽  
Atmospheric Air ◽  
Maximum Permissible Concentrations ◽  
Pollutants Emission ◽  
Reduction Of Emissions ◽  
The Given

In the given article the pollutants emission evaluation results in the atmosphere from heating enterprises of Nalchik are presented. Evaluations were realized in accordance with criteria of atmospheric air quality of the populated areas that require preventing the increase of maximum permissible concentrations for each pollutant emitted by heating houses (nitrogen dioxide, oxide of nitrogen and carbon oxide) on considering points. The results of dispersion of emissions showed that there was no increase in maximum permissible concentrations of pollutants on the populated area nearest to each heating house. However, the amount of emissions is significant and is about 742 tons per year. In connection with it, it is necessary to introduce new technological decisions, efficient pollution control facilities directed on reduction of emissions on the environment and human health.

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 SYSTEM OF ASSESSMENT AND FORECAST OF ATMOSPHERIC AIR QUALITY AS A GOAL OF ECOLOGIZATION THE CONSTRUCTION SITE

2020 ◽  
Author(s):  
S.E. Manzhilevskaya ◽  
Keyword(s):  
Air Quality ◽  
Model System ◽  
Assessment System ◽  
Dust Control ◽  
Control Measures ◽  
Construction Site ◽  
Atmospheric Air ◽  
Air Quality Assessment ◽  
Consistent Assessment

The article analyzes the system for assessing and forecasting air quality at a construction site. Models of the air quality assessment system are considered. Dust control measures are proposed with respect to improving the health of construction site workers and a method for calculating and controlling the emissions of pollutants at a construction site. To implement the assessment of atmospheric air quality at the construction site, the model "system for assessing and forecasting the quality of atmospheric air", which allows a consistent assessment and forecast of atmospheric air quality, is presented.

scholarly journals A New Study on Air Quality Standards: Air Quality Measurement and Evaluation for Jiangsu Province Based on Six Major Air Pollutants

2018 ◽  
Vol 10 (10) ◽  
pp. 3561 ◽  
Author(s):  
Xueyan Liu ◽  
Xiaolong Gao
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Pollution Control ◽  
Air Pollutants ◽  
Quality Evaluation ◽  
Jiangsu Province ◽  
Energy Structure ◽  
Air Pollution Control ◽  
Control Policies

China’s current Air Quality Index (AQI) system only considers one air pollutant which has the highest concentration value. In order to comprehensively evaluate the urban air quality of Jiangsu Province, this paper has studied the air quality of 13 cities in that province from April 2015 to March 2018 based on an expanded AQI system that includes six major air pollutants. After expanding the existing air quality evaluation standards of China, this paper has calculated the air quality evaluation scores of cities in Jiangsu Province based on the six major air pollutants by using the improved Fuzzy Comprehensive Evaluation Model. This paper has further analyzed the effectiveness of air pollution control policies in Jiangsu Province and its different cities during the study period. The findings are as follows: there are distinct differences in air quality for different cities in Jiangsu Province; except for coastal cities such as Nantong, Yancheng and Lianyungang, the southern cities of Jiangsu generally have better air quality than the northern cities. The causes of these differences include not only natural factors such as geographical location and wind direction, but also economic factors and energy structure. In addition, air pollution control policies have achieved significant results in Nantong, Changzhou, Wuxi, Yangzhou, Suzhou, Yancheng, Zhenjiang, Tai’an and Lianyungang. Among them, Nantong has seen the biggest improvement, 20.28%; Changzhou and Wuxi have improved their air quality by more than 10%, while Yangzhou, Suzhou, and Yancheng have improved their air quality by more than 5%. However, the air quality of Nanjing, Huai’an, Xuzhou, and Suqian has worsened by different degrees compared that of the last period within the beginning period, during which Suqian’s air quality has declined by 20.07% and Xuzhou’s by 16.32%.

scholarly journals A study of the air quality of working areas in foundries

2019 ◽  
pp. 138-132
Author(s):  
A. M. Lasarenkov
Keyword(s):  
Carbon Monoxide ◽  
Air Quality ◽  
Nitrogen Oxides ◽  
Mass Production ◽  
Phenol Formaldehyde ◽  
Dust Content ◽  
Technological Processes ◽  
Maximum Permissible Concentrations ◽  
Harmful Substances

The results of the study of air quality on workplaces of foundrymen. The results of measures of dust content and content of harmful substances in the workplace areas at foundries with different nature of production are given. It is noted that the dust content in the air of the working area of the foundry areas exceeds the maximum permissible concentrations at all workplaces, with the largest excess noted in the mass production shops. The highest exposures to dust are castings dressers, cleaners and castings technicians. The harmful substances such as carbon monoxide, nitrogen oxides, phenol, formaldehyde, etc. are also were found in the air of the working zones, the content of which is determined by the applied technological processes.

scholarly journals THE IMPACT OF ZINC AND LEAD MINING ON AIR QUALITY AT AGALAGU ALIKE IN IKWO LGA OF EBONYI STATE

2021 ◽  
pp. 21-30
Author(s):  
Nene Anyahara ◽  
Ulunma Nwosu ◽  
Chibueze Awuchi ◽  
Ugochi Obinna
Keyword(s):  
Air Quality ◽  
Anthropogenic Activities ◽  
Harmful Effect ◽  
Wet Season ◽  
Mining Site ◽  
Atmospheric Air ◽  
A Value ◽  
Life On Earth ◽  
The Impact

Atmospheric air consist of mixtures of gases composed mainly of nitrogen and oxygen with small proportion of carbon, noble gases and water vapor essential for the sustenance of life on earth. Anthropogenic activities in diverse ways may threaten the quality of atmospheric air and impairs its quality on life. The introduction of any chemical, physical, or biological agent into the atmosphere, in quantities large enough to produce harmful effect to man and its surrounding environment calls for concern. Therefore, an assessment is needed on air quality and on this basis; air quality test was carried out at the mining site at Agalagu Alike in Ikwo Local Government Area of Ebonyi State, and the results collated indicated lesser air pollution across the mine site, except NO2 and SO2. Although the level of NO2 concentration in the study location can be attributed to the activities of mining going on in that area. It was also observed from the results collated that the particulate matter at the study location and immediate environment was very low, which could result from the season of the year (wet season) which the analysis was carried out. Other pollutants like NH3, H2S VOC, and CO were not detected within the coordinates studied in the location. The level of O2 within the location was found to be the same across all the sampling points, with a value of 20.9.

scholarly journals Effect of COVID-19 lockdown on air quality and solid waste generation: a case study in a metropolitan city, Mumbai, India

2020 ◽  
Vol 7 (11) ◽  
pp. 4467
Author(s):  
Joshua Anish S. Selwyn ◽  
Monali B. Kadam ◽  
Snigdha Thakur
Keyword(s):  
Air Quality ◽  
Solid Waste ◽  
Pollution Control ◽  
Air Pollutants ◽  
Quality Index ◽  
Air Quality Index ◽  
Waste Generation ◽  
Control Board ◽  
Solid Waste Generation

Background: There is limited information describing the change on quality of air and solid waste generation if there is limited and efficient use of vehicles and the shutdown of industries producing hazardous air pollutants that have been achieved by the lockdown. Study assessed changes in the quality of air and solid waste generation due to Lockdown.Methods: It was an analytical study where the data is received from Maharashtra Pollution Control Board data for Mumbai during the period from December 2019 to July 2020. Analysis of Air pollutants like PM10, SO2, NO2, Air quality index, and solid waste generated are taken into consideration.Results: Findings of air quality data has been analysed from December to July. Where the mean air quality index before the lockdown was 251 which is very unhealthy and during lockdown was 62 which is moderate which is a 75% reduction in the pollutants and the solid waste generation before the lockdown was 6338.63 Metric tons per day which have been reduced to 4121.23 Metric tons per day which is a reduction of 34.98 %.Conclusions: This study provides information about how the environment would heal itself if there is a restriction on the use of vehicles and shutting down factories producing hazardous pollutants. This would provide the evidence for the Pollution Control Board to implement policy to improve air quality and solid waste generation, which would have a positive impact on human health and ecosystem.

scholarly journals Evaluating China’s Air Pollution Control Policy with Extended AQI Indicator System: Example of the Beijing-Tianjin-Hebei Region

2019 ◽  
Vol 11 (3) ◽  
pp. 939 ◽  
Author(s):  
Guanghui Yuan ◽  
Weixin Yang
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Pollution Control ◽  
Cloud Model ◽  
Indicator System ◽  
Chinese Government ◽  
Control Policies ◽  
Handan City ◽  
Bth Region

This paper calculated and evaluated the air quality of 13 cities in China’s Beijing-Tianjin-Hebei (BTH) region from February 2015 to January 2018 based on the extended AQI (Air Quality Index) Indicator System. By capturing the heterogeneous information in major pollutant indicators and the standardization process, we depicted the important effect of other relevant features of pollutant indicators beyond single-point data. Based on that, we further calculated the assessment value of the air quality of different cities in the BTH region by using the Collaborative Filtering Backward Cloud Model to construct differentiated weights of different indicators. With help of the Back Propagation (BP) Neutral Network, we simulated the effect of the pollution control policies of the Chinese government targeting air pollution since March 2016. Our conclusion is: the pollution control policies have improved the air quality of Beijing by 55.74%, and improved the air quality of Tianjin by 34.38%; while the migration of polluting enterprises from Beijing and Tianjin has caused different changes in air quality in different cities of Hebei province—we saw air quality deterioration by 58.60% and 38.68% in Shijiazhuang and Handan city respectively.

scholarly journals Air Quality of Work, Residential, and Traffic Areas During the COVID-19 Lockdown with Insights to Improve Air Quality

2021 ◽  
Author(s):  
Badr H Alharbi ◽  
Hatem A Alhazmi ◽  
Zaid Aldhafeeri
Keyword(s):  
Air Quality ◽  
Pollution Control ◽  
Ambient Air ◽  
Average Concentration ◽  
Control Measures ◽  
Work Site ◽  
Residential Site ◽  
Traffic Site ◽  
Mean Concentration

Abstract This study investigated the concentrations of air pollutants (NO, NO2, NOx, SO2, CO, O3, PM10, and PM2.5) at three sites with different traffic loads (work, residential, and traffic sites) before, during, and after the COVID-19 lockdown. The main objective of this study was to evaluate the effects and associated potential pollution control implications of the lockdown on the quality of ambient air at three selected sites in the urban area of Riyadh City. The average concentrations of NO, NO2, NOx, and CO decreased during the lockdown period by 73%, 44%, 53%, and 32% at the work site, 222%, 85%, 100%, and 60% at the residential site, and 133%, 60%, 101%, and 103% at the traffic site relative to the pre-lockdown period, respectively. The average concentration of O3 increased by 6% at the work site, whereas the concentration of SO2 increased by 27% at the residential site and decreased by 6.5% at the work site. The changes in PM10 and PM2.5 varied and did not exhibit a clear pattern. The air quality index (AQI) results indicated that the contribution to “undesired” air quality by O3 was 35.29% of the lockdown period at the work site while contributions to undesired air quality by PM10 and PM2.5 were 75.6% and 100% at the work site, 94.5% and 100% at the residential site, and 96.7% and 100% at the traffic site, respectively. The findings of this study are useful for devising effective urban pollution abatement policies. Applying control measures comparable to the lockdown measures over one week will result in a decrease of approximately 19% and 15% in CO mean concentration and 25% and 18% in NO2 mean concentration at residential and traffic sites, respectively. Significant mitigation of urban air pollution could be accomplished through intermittent implementations of strict pollution control measures.

scholarly journals Analysis of the Effectiveness of Air Pollution Control Policies Based on Historical Evaluation and Deep Learning Forecast: A Case Study of Chengdu-Chongqing Region in China

2020 ◽  
Vol 13 (1) ◽  
pp. 206
Author(s):  
Hao Gao ◽  
Weixin Yang ◽  
Jiawei Wang ◽  
Xiaoyun Zheng
Keyword(s):  
Air Pollution ◽  
Sustainable Development ◽  
Deep Learning ◽  
Air Quality ◽  
Pollution Control ◽  
Short Term Memory ◽  
Air Pollution Control ◽  
Control Policies ◽  
Research Period

Air pollution is a common problem for many countries around the world in the process of industrialization as well as a challenge to sustainable development. This paper has selected Chengdu-Chongqing region of China as the research object, which suffers from severe air pollution and has been actively involved in air pollution control in recent years to achieve sustainable development. Based on the historical data of 16 cities in this region from January 2015 to November 2019 on six major air pollutants, this paper has first conducted evaluation on the monthly air quality of these cities within the research period by using Principal Component Analysis and the Technique for Order Preference by Similarity to an Ideal Solution. Based on that, this paper has adopted the Long Short-Term Memory neural network model in deep learning to forecast the monthly air quality of various cities from December 2019 to November 2020. The aims of this paper are to enrich existing literature on air pollution control, and provide a novel scientific tool for design and formulation of air pollution control policies by innovatively integrating commonly used evaluation models and deep learning forecast methods. According to the research results, in terms of historical evaluation, the air quality of cities in the Chengdu-Chongqing region was generally moving in the same trend in the research period, with distinct characteristics of cyclicity and convergence. Year- on-year speaking, the effectiveness of air pollution control in various cities has shown a visible improvement trend. For example, Ya’an’s lowest air quality evaluation score has improved from 0.3494 in 2015 to 0.4504 in 2019; Zigong’s lowest air quality score has also risen from 0.4160 in 2015 to 0.6429 in 2019. Based on the above historical evaluation and deep learning forecast results, this paper has proposed relevant policy recommendations for air pollution control in the Chengdu-Chongqing region.

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