scholarly journals Public Responses to Air Pollution in Shandong Province Using the Online Complaint Data

2021 ◽  
Vol 10 (3) ◽  
pp. 126
Author(s):  
Yong Sun ◽  
Min Ji ◽  
Fengxiang Jin ◽  
Huimeng Wang
Keyword(s):  
Air Pollution ◽  
Sentiment Analysis ◽  
Public Perception ◽  
Analytical Framework ◽  
Shandong Province ◽  
Emotional Intensity ◽  
Air Pollution Control ◽  
Public Response ◽  
The Public ◽  
Exhaust Gas Emissions

As air users, the public is also participants in air pollution control and important evaluators of environmental protection. Therefore, understanding the public perception and response to air pollution is an essential part of improving air governance. This study proposed an analytical framework for public response to air pollution based on online complaint data and sentiment analysis. In the proposed framework, the emotional dictionary of air pollution was firstly constructed using microblog data and complaint data. Secondly, the emotional dictionary of air pollution and the sentiment analysis method were used to calculate public complaints’ emotional intensity. Besides, the spatial and temporal characteristics of air pollution complaint data and public emotional intensity, the complaints content, and their correlation with PM2.5 (particulate matters smaller than 2.5 micrometers) and PM10 were analyzed using address matching, spatial analysis, and word cloud analysis. Finally, the proposed framework was applied to 13,469 air pollution complaint data in Shandong Province from 2012 to 2018. The obtained results indicated that: the public was mainly complaining about the exhaust gas emissions from enterprises and factories. Spatially, the geographical center of complaint data was located in the inland industrial urban agglomeration of Shandong Province. Correlatively, air pollution complaints’ negative emotional intensity was significantly negatively correlated with PM2.5 (−0.73). Moreover, the number of public complaints about air pollution and the intensity of negative emotions also decreased with improved air quality in Shandong Province in recent years.

scholarly journals A New Indicator to Assess Public Perception of Air Pollution Based on Complaint Data

2021 ◽  
Vol 11 (4) ◽  
pp. 1894
Author(s):  
Yong Sun ◽  
Fengxiang Jin ◽  
Yan Zheng ◽  
Min Ji ◽  
Huimeng Wang
Keyword(s):  
Air Pollution ◽  
Sentiment Analysis ◽  
Public Perception ◽  
Shandong Province ◽  
Kriging Interpolation ◽  
Social Media Data ◽  
The Public ◽  
Coastal Cities ◽  
Media Data ◽  
Monitoring Stations

Severe air pollution problems have led to a rise in the Chinese public’s concern, and it is necessary to use monitoring stations to monitor and evaluate pollutant levels. However, monitoring stations are limited, and the public is everywhere. It is also essential to understand the public’s awareness and behavioral response to air pollution. Air pollution complaint data can more directly reflect the public’s real air quality perception than social media data. Therefore, based on air pollution complaint data and sentiment analysis, we proposed a new air pollution perception index (APPI) in this paper. Firstly, we constructed the emotional dictionary for air pollution and used sentiment analysis to calculate public complaints’ emotional intensity. Secondly, we used the piecewise function to obtain the APPI based on the complaint Kernel density and complaint emotion Kriging interpolation, and we further analyzed the change of center of gravity of the APPI. Finally, we used the proposed APPI to examine the 2012 to 2017 air pollution complaint data in Shandong Province, China. The results were verified by the POI (points of interest) data and word cloud analysis. The results show that: (1) the statistical analysis and spatial distribution of air pollution complaint density and public complaint emotion intensity are not entirely consistent. The proposed APPI can more reasonably evaluate the public perception of air pollution. (2) The public perception of air pollution tends to the southwest of Shandong Province, while coastal cities are relatively weak. (3) The content of public complaints about air pollution mainly focuses on the exhaust emissions of enterprises. Moreover, the more enterprises gather in inland cities, the public perception of air pollution is stronger.

A Discussion on recent research in air pollution - Plume rise estimates for electric generating stations

1969 ◽  
Vol 265 (1161) ◽  
pp. 221-243 ◽  
Keyword(s):  
Air Pollution ◽  
Pollution Control ◽  
Full Scale ◽  
Plume Rise ◽  
Air Pollution Control ◽  
Operational Conditions ◽  
The Public ◽  
Wide Range ◽  
Tennessee Valley ◽  
Comprehensive Study

The Tennessee Valley Authority, under sponsorship of the Public Health Service, National Air Pollution Control Administration, initiated a comprehensive study titled ‘ Full scale study of plume rise at large electric generating stations’ in 1963. The variability of plant sizes, stack heights, and stack configurations accommodated full scale assessment of plume rise over a wide range of meteorological and operational conditions.

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.

Environmental Carcinogenic Factors in Relation to Public Health

1968 ◽  
Vol 54 (1) ◽  
pp. 99-111
Author(s):  
Francesco Scanga ◽  
Ennio Prozzo
Keyword(s):  
Public Health ◽  
Air Pollution ◽  
General Population ◽  
Cigarette Smoking ◽  
Tobacco Smoke ◽  
Pollution Control ◽  
Air Pollution Control ◽  
The Public ◽  
Ionizing Radiations ◽  
Italian Legislation

The public health problems relevant for the general population which are raised by environmental contaminations with carcinogenic factors are reviewed. The discussion includes ionizing radiations, drugs, air pollution and tobacco smoke. The recent Italian legislation on air pollution control and the Italian situation concerning prevention of cigarette smoking are commented in detail.

TANGGAPAN MASYARAKAT TENTANG HADIRNYA PERTAMBANGAN ASPAL DI DESA WINNING KECAMATAN PASARWAJO KABUPATEN BUTON

2018 ◽  
Vol 3 (2) ◽  
pp. 157
Author(s):  
Muhammad Rajif Ali
Keyword(s):  
Public Perception ◽  
Development Process ◽  
Negative Impact ◽  
Environmental Damage ◽  
Mining Activities ◽  
Public Response ◽  
The Public ◽  
Study Approach ◽  
Negative Impacts

This study aims to describe the public perception of the existence of asphalt minning in relation to the environmental inpact caused in the Winning Vilage of Pasar wajo Distric in Buton District. This research is descriptive qualitative whit case study approach. Data collection is done by using method: questionare, interview, observation and documentation. Data obtained from 55 respondents, then presented in tabular from percentage, then described qualitatively. The result showed that the public response about the presence of asphalt mining in Winning Vilage, divided into positive and negative impacts. Positive impacts of asphalt mining such as: increased local income, creation of employment opportunities for local communities, exposure of territories from isolason. While the negative impact is asphalt mining activities caused environmental damage include: 1) land danmage, land disruption, 2) Damage to flora and fauna, communities responding to asphalt mining activities caused damage to vegetation and people responded to asphalt mining activities causing damage/wild animal/wildlife, 3) The contamination river water, times and swamps where people respond to the mining activitie of asphalt cause pollution of riverwater/times and swamps, 4) Air pollution mainly dust produced from the development process and the means of transportation passing by, 5) Noise, where people respount to asphalt mining activities generate noise, 6) The existence of healt problems where people respoud to asphalt mining activities cause public health problems,

The public health benefits of air pollution control

2012 ◽  
Vol 130 (1) ◽  
pp. 22-23 ◽  
Author(s):  
Jinghong Li ◽  
Gary Ewart ◽  
Monica Kraft ◽  
Patricia W. Finn
Keyword(s):  
Public Health ◽  
Air Pollution ◽  
Pollution Control ◽  
Health Benefits ◽  
Air Pollution Control ◽  
The Public

Statement regarding “The public health benefits of air pollution control”

2012 ◽  
Vol 130 (1) ◽  
pp. 24 ◽  
Author(s):  
Dennis K. Ledford ◽  
A. Wesley Burks ◽  
Mark Ballow ◽  
Linda Cox ◽  
Robert A. Wood ◽  
...  
Keyword(s):  
Public Health ◽  
Air Pollution ◽  
Pollution Control ◽  
Health Benefits ◽  
Air Pollution Control ◽  
The Public

scholarly journals Comparison of the risk perception and warning response to air pollution on an individual level in China

2021 ◽  
Vol 252 ◽  
pp. 03063
Author(s):  
Fangping Wang ◽  
Fei Su
Keyword(s):  
Air Pollution ◽  
Risk Perception ◽  
Early Warning ◽  
Public Perception ◽  
Warning System ◽  
Pollution Level ◽  
Individual Level ◽  
The Public ◽  
Gender Education ◽  
Warning Response

Individual responses to China’s heavy air pollution early warning are poorly understood. This knowledge gap has hampered the evaluation and improvement of the early warning system in providing the targeted populations with effective protection guidance. In order to explore the public’s response to air pollution warning, field survey were conducted in three major cities of China in 2016. The results indicated that different levels of air pollution warnings were correctly understood in these three cities, but the warning response rate was low. Significant differences in the public’s risk perception were demonstrated. Public perception of the health impacts of air pollution (HEP) and knowledge of the warning index (AQI) were significantly higher in Beijing than in Shenzhen. The public perception of the pollution level (DEVIATION) was equal in Beijing and Shenzhen, but higher than that in Shanghai. Gender, education, and risk perception were crucial factors influencing the public’s willingness to respond to warnings. Early warning policymakers can use this research to optimize the design and dissemination of early warning information to improve the public’s health and quality of life in cities with air pollution.

scholarly journals MOBILE ATMOSPHERIC SENSING

2017 ◽  
Vol XLII-3/W2 ◽  
pp. 217-221
Author(s):  
L. Wang ◽  
Y. Huang
Keyword(s):  
Carbon Dioxide ◽  
Air Pollution ◽  
Air Quality ◽  
Public Perception ◽  
Fine Particles ◽  
Spatial Clustering ◽  
Transportation Network ◽  
Peak Time ◽  
The Public ◽  
Atmospheric Data

Atmospheric quality dramatically deteriorates over the past decades around themetropolitan areas of China. Due to the coal combustion, industrial air pollution, vehicle waste emission, etc., the public health suffers from exposure to such air pollution as fine particles of particulates, sulfur and carbon dioxide, etc. Many meteorological stations have been built to monitor the condition of air quality over the city. However, they are installed at fixed sites and cover quite a small region. The monitoring results of these stations usually do NOT coincide with the public perception of the air quality. This paper is motivated to mimic the human breathing along the citys transportation network by the mobile sensing vehicle of atmospheric quality. To obtain the quantitative perception of air quality, the Environmental Monitoring Vehicle of Wuhan University (EMV-WHU) has been developed to automatically collect the data of air pollutants. The EMV-WHU is equipped with GPS/IMU, sensors of PM2.5, carbon dioxide, anemometer, temperature, humidity, noise, and illumination, as well as the visual and infrared camera. All the devices and sensors are well collaborated with the customized synchronization mechanism. Each sort of atmospheric data is accompanied with the uniform spatial and temporal label of high precision. Different spatial and data-mining techniques, such as spatial correlation analysis, logistic regression, spatial clustering, are employed to provide the periodic report of the roadside air quality. With the EMV-WHU, constant collection of the atmospheric data along the Luoyu Road of Wuhan city has been conducted at the daily peak and non-peak time for half a year. Experimental results demonstrated that the EMV is very efficient and accurate for the perception of air quality. Comparative findings with the meteorological stations also show the intelligence of big data analysis and mining of all sorts of EMV measurement of air quality. It is promising for the aerial and emergent air quality monitoring over the sky of big cities, if EMV-WHU be miniaturized for the unmanned aerial vehicles(UAV) in the future.

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