Relationship between Air Pollutants and Visibility in Shanghai during 2006-2010

Mean Value ◽

Secondary Pollutants ◽

The Mean ◽

Air pollution has been deteriorated seriously in Shanghai as a result of urbanization and modernization. Visibility reduction is the most apparent symptom of air pollution. This paper aims to describe the characteristics of visibility and air pollutants in Shanghai, and to investigate the relationship between them. Visibility in Shanghai was higher in summer and lower in winter. The mean value of visibility during 2006-2010 was 17.8km. Air pollution in Shanghai was also serious. In 2010, Shanghai got the relative better air quality compared with the former four years. Air pollutants and visibility were negatively correlated. SO2 and NO2 had higher correlation coefficients with visibility than PM10. This suggested that the visibility in Shanghai was mainly due to secondary pollutants.

The Willingness of Residents to Pay for Improving Air Quality

Indonesian Journal of Innovation and Applied Sciences (IJIAS) ◽

10.47540/ijias.v1i2.272 ◽

2021 ◽

Vol 1 (2) ◽

pp. 144-150

Author(s):

Sana Akhtar ◽

Aiman Riaz ◽

Faiza Noor ◽

Umaima Zainab ◽

Faryal Asim

Keyword(s):

Air Pollution ◽

Air Quality ◽

Willingness To Pay ◽

Well Being ◽

Mean Value ◽

Emerging Issues ◽

The Mean ◽

Short Time ◽

The Relationship ◽

Health And Well Being

Air pollution has become one of the major emerging issues of the 21st century. It is a serious problem for almost every developing country. Due to the rapid increase in population and industrialization, the problem of air pollution has become more serious. Various environmentalists and scientists have conducted a variety of studies and surveys to know about the current situation and further how to deal with these situations. Therefore, this paper aims to analyze the willingness of people living in the Southern region of Lahore to pay for improving the air quality. Statistical Package for Social Sciences software (version 20.0) was applied to determine the relationship between willingness to pay and powerful factors. A short time later stepwise, a linear regression model was built to determine the amount of positive Willingness to pay and to predict the mean value of Willingness to pay. The frequency and percentage of each variable were also determined through SPSS. The results revealed that out of 400 questionnaires filled by the citizens 82% of the citizens of southern Lahore showed positive response as they were in favor of Willingness to pay for improved air quality which shows their deep concern about the rising issue. And only 18% were not ready for Willingness to pay for improved air quality, the only reason for this negative response was the unawareness among the citizens. This shows that more awareness is required to create more knowledge among the citizens of Southern Lahore that bad air quality has so many depressing impacts on their health and well-being.

Impact of air pollution in Mymensingh city of Bangladesh: focusing peoples’ perception

Progressive Agriculture ◽

10.3329/pa.v31i3.52117 ◽

2021 ◽

Vol 31 (3) ◽

pp. 154-163

Author(s):

MA Mondol ◽

M Hossain ◽

S Sultana ◽

MA Islam ◽

P Biswas

Keyword(s):

Air Pollution ◽

Family Size ◽

Significant Relationship ◽

Air Pollutants ◽

Educational Qualification ◽

Independent Variables ◽

Study Sites ◽

The Impact ◽

The present study was conducted to investigate the impact of air pollution in some selected areas of Mymensingh city. The relationship between independent variables (age, educational qualification, family size and communication exposure) with the basic idea and impact of air pollution (dependent variable) was investigated in this study. To conduct the study, two hundred (200) respondents were selected randomly from four study sites under Mymensingh city. Pearson's product-moment correlation coefficients were analyzed to examine the relationship between the concerned variables. The findings revealed that 87.5% people have basic idea and 12.5% people have no idea about air pollution. About half (46%) of the peoples had high impact, 34% had medium and 20% had low impact because of air pollution. Out of four independent variables, three variables such as educational qualification and communication exposure had positive and significant relationship, age had negative but significant relationship and family size had non-significant relationship with their perception and awareness of air pollution. Further assessment on different air pollutants in the study area may explore the original status of air pollution and their impact on environment as well as on livelihood. Progressive Agriculture 31 (3): 154-163, 2020

Predicting relationships between solar jet variables

Monthly Notices of the Royal Astronomical Society ◽

10.1093/mnras/stz2402 ◽

2019 ◽

Author(s):

Leonard A Freeman

Keyword(s):

Shock Wave ◽

Initial Velocity ◽

Linear Equations ◽

Mean Value ◽

Square Root ◽

Simple Physical Interpretation ◽

Scatter Plots ◽

The Mean ◽

Abstract Studies of spicules and similar solar jets reveal a strong correlation between some of the kinematic variables, particularly between the initial velocity V, and the subsequent deceleration, a. It has been proposed that there is a linear relationship between these two variables and that this offers proof for a shock wave mechanism acting on the spicules, although the linear equations found are all different. It is shown here that the relationship is better described by a non-linear form: V is proportional to the square root of a. This relationship between V and a also provides a simple physical interpretation for the results. The different linear equations are found to be simply tangents to this (a, V) curve. Another method used to investigate the (a, V) connection is to determine the correlation coefficients between the kinematic variables from their scatter plots. It is also shown how these correlations also can be predicted from the mean value of the acceleration and height and their standard deviations for the sample under consideration. The implications of these results and the possibility that spicule behaviour is partly due to magnetic fields are discussed.

Pedestrian Exposure to Air Pollution in Cities: Modeling the Effect of Roadside Trees

Advances in Meteorology ◽

10.1155/2013/964904 ◽

2013 ◽

Vol 2013 ◽

pp. 1-7 ◽

Cited By ~ 13

Author(s):

Jorge Humberto Amorim ◽

Joana Valente ◽

Pedro Cascão ◽

Vera Rodrigues ◽

Cláudia Pimentel ◽

...

Keyword(s):

Air Pollution ◽

Air Quality ◽

Grid Cell ◽

Time Frame ◽

Mean Value ◽

Exposure Model ◽

City Centre ◽

General Benefit ◽

The Mean ◽

Pollution Exposure

The exposure of students to traffic-emitted carbon monoxide (CO) in their daily walk to school is evaluated, with a particular emphasis on the effect of trees and route choice. The study is focused on the city centre of Aveiro, in central Portugal. Time evolution of the georeferenced location of an individual is tracked with a GPS for different alternative walking routes to a school. Spatial distribution of CO concentration is simulated with a computational fluid dynamics (CFD) model. An exposure model is developed that associates the georeferenced location of the student with the computed air quality levels (at an average breathing height) for that specific grid cell. For each individual, the model calculates the instantaneous exposure at each time frame and the mean value for a given period. Results show a general benefit induced by the trees over the mean exposure of the student in each route. However, in the case of instantaneous exposure values, this is not consistent along the entire period. Also, the variability of the estimated exposure values indicates the potential error that can be committed when using a single value of air quality as a surrogate of air pollution exposure.

The modification effect of temperature on the relationship between air pollutants and daily incidence of influenza in Ningbo, China

Respiratory Research ◽

10.1186/s12931-021-01744-6 ◽

2021 ◽

Vol 22 (1) ◽

Author(s):

Rui Zhang ◽

Yujie Meng ◽

Hejia Song ◽

Ran Niu ◽

Yu Wang ◽

...

Keyword(s):

Air Pollution ◽

High Temperature ◽

Air Pollutants ◽

Meteorological Data ◽

Effect Of Temperature ◽

Distributed Lag ◽

Modification Effect ◽

Incidence Risk ◽

The Impact ◽

Abstract Background Although exposure to air pollution has been linked to many health issues, few studies have quantified the modification effect of temperature on the relationship between air pollutants and daily incidence of influenza in Ningbo, China. Methods The data of daily incidence of influenza and the relevant meteorological data and air pollution data in Ningbo from 2014 to 2017 were retrieved. Low, medium and high temperature layers were stratified by the daily mean temperature with 25th and 75th percentiles. The potential modification effect of temperature on the relationship between air pollutants and daily incidence of influenza in Ningbo was investigated through analyzing the effects of air pollutants stratified by temperature stratum using distributed lag non-linear model (DLNM). Stratified analysis by sex and age were also conducted. Results Overall, a 10 μg/m3 increment of O3, PM2.5, PM10 and NO2 could increase the incidence risk of influenza with the cumulative relative risk of 1.028 (95% CI 1.007, 1.050), 1.061 (95% CI 1.004, 1.122), 1.043 (95% CI 1.003, 1.085), and 1.118 (95% CI 1.028, 1.216), respectively. Male and aged 7–17 years were more sensitive to air pollutants. Through the temperature stratification analysis, we found that temperature could modify the impacts of air pollution on daily incidence of influenza with high temperature exacerbating the impact of air pollutants. At high temperature layer, male and the groups aged 0–6 years and 18–64 years were more sensitive to air pollution. Conclusion Temperature modified the relationship between air pollution and daily incidence of influenza and high temperature would exacerbate the effects of air pollutants in Ningbo.

AB0101 THE IMPACT OF TIME SPAN TO ACHIEVE BOOLEAN REMISSION FOR MAINTAINING DISEASE ACTIVITY AFTER ACQUISITION IN RHEUMATOID ARTHRITIS PATIENT

Annals of the Rheumatic Diseases ◽

10.1136/annrheumdis-2021-eular.297 ◽

2021 ◽

Vol 80 (Suppl 1) ◽

pp. 1079.1-1079

Author(s):

I. Yoshii

Keyword(s):

Rheumatoid Arthritis ◽

Disease Activity ◽

Disease Duration ◽

Remission Rate ◽

Mean Value ◽

Time Span ◽

Mean Values ◽

The Mean ◽

Background:Boolean remission criteria is one most popular and stringent criteria in treating patient with rheumatoid arthritis (RA), because it may guarantees a stable clinical course after attaining remission.Objectives:Impact of time span from initiation to achieving Boolean remission on maintaining disease activity, daily activities, and quality of life after attaining Boolean remission was investigated from daily clinical practice data.Methods:685 patients with RA since August 2010 under the T2T strategy were treated. They were monitored for their TJC, SJC, PGA, EGA, CRP, and disease activity indices such as CDAI, SDAI, DAS28, and Boolean criteria at every visit. HAQ-DI score, pain score using visual analog scale (PS-VAS), and EQ-5D were also monitored, and the quality of life score (QOLS) calculated from EQ-5D was determined at every visit from the time of diagnosis (baseline).Of 685 patients, 465 patients had achieved Boolean remission >1 times, and were consecutively followed up for >3 years. These patients were enrolled in the study. Time span from the first visit to first Boolean remission was calculated. The relationship between the time span and each of background parameters, and the relationship between the time span and each of the mean values of the SDAI score, HAQ score, PS-VAS, SHS, and QOLS at the first Boolean remission and thereafter was evaluated statistically.Patients were subsequently divided into the G ≤ 6 and G > 6 groups based on the achievement of first Boolean remission within two groups: time span G ≤ 6 months and G > 6 months. The two groups were compared with regard to the SDAI score, HAQ score, PS-VAS, SHS, and QOLS at first visit and at the time of first Boolean remission, and the mean values of these parameters after remission were evaluated statistically. Moreover, changes of these parameters and the mean Boolean remission rate after the first remission, and SDAI remission rate at the first Boolean remission to thereafter were compared between the two groups statistically.Results:Out of 465 patients, females comprised 343 (73.7%), and the mean age was 67.8 years (range, from 21–95 years). The mean disease duration at first visit was 6.1 years (range, from 1 months–45 years). The mean follow up length was 88.1 months (range: 36–122 months; median: 85 months) and mean time span from the first visit to the first Boolean remission was 8.1 months. The mean SDAI score, HAQ score, PS-VAS, and the QOLS at first visit were 13.3, 0.467, 33.2, and 0.834, respectively. Among the study parameters, PS-VAS and QOLS were significantly correlated with the time span. For parameters at the first Boolean remission, HAQ-DI score, PS-VAS, and QOLS demonstrated significant correlation with the time span, whereas SDAI, HAQ-DI score, PS-VAS, SHS, and QOLS after the Boolean remission demonstrated significant correlation with the time span.The comparison between the G ≤ 6 and the G > 6 groups revealed that the disease duration, HAQ score, and PS-VAS at baseline in the G > 6 were significantly higher than that in the G ≤ 6 group, and QOLS in the G ≤ 6 group was significantly higher than that in the G > 6 group at baseline. Similarly, the HAQ score and PS-VAS at the first Boolean remission in the G > 6 group were significantly higher than that in the G ≤ 6 group, whereas QOLS in the G ≤ 6 group demonstrated no significant difference compared with that in the G > 6 group.The mean value of the SDAI score after the first Boolean remission in the G > 6 group was significantly higher than that in the G ≤ 6 group. Similarly, the SDAI score, HAQ score, and PS-VAS after the first Boolean remission in the G > 6 group were also significantly higher than those in the G ≤ 6 group, and the mean value of the QOLS in the G ≤ 6 group were significantly higher than that in the G > 6 group. The Boolean remission rate and SDAI remission rate after the first Boolean remission were significantly higher in the G ≤ 6 group than those in the G > 6 group.Conclusion:Attaining Boolean remission ≤ 6 months for RA has significant benefit for more stable disease control, that leads good maintenance of ADL.Disclosure of Interests:None declared

Contribution of Local and Transboundary Air Pollution to the Urban Air Quality of Fukuoka, Japan

Atmosphere ◽

10.3390/atmos12040431 ◽

2021 ◽

Vol 12 (4) ◽

pp. 431

Author(s):

Ayako Yoshino ◽

Akinori Takami ◽

Keiichiro Hara ◽

Chiharu Nishita-Hara ◽

Masahiko Hayashi ◽

...

Keyword(s):

Air Pollution ◽

Air Quality ◽

Urban Areas ◽

Air Pollutants ◽

Regional Scale ◽

Gaseous Species ◽

Transboundary Air Pollution ◽

Local Air Pollution ◽

The City

Transboundary air pollution (TAP) and local air pollution (LAP) influence the air quality of urban areas. Fukuoka, located on the west side of Japan and affected by TAP from the Asian continent, is a unique example for understanding the contribution of LAP and TAP. Gaseous species and particulate matter (PM) were measured for approximately three weeks in Fukuoka in the winter of 2018. We classified two distinctive periods, LAP and TAP, based on wind speed. The classification was supported by variations in the concentration of gaseous species and by backward trajectories. Most air pollutants, including NOx and PM, were high in the LAP period and low in the TAP period. However, ozone was the exception. Therefore, our findings suggest that reducing local emissions is necessary. Ozone was higher in the TAP period, and the variation in ozone concentration was relatively small, indicating that ozone was produced outside of the city and transported to Fukuoka. Thus, air pollutants must also be reduced at a regional scale, including in China.

Air Quality and Climate Change, Topic 3 of the Model Inter-Comparison Study for Asia Phase III (MICS-Asia III), Part I: overview and model evaluation

10.5194/acp-2017-731 ◽

2017 ◽

Cited By ~ 1

Author(s):

Meng Gao ◽

Zhiwei Han ◽

Zirui Liu ◽

Meng Li ◽

Jinyuan Xin ◽

...

Keyword(s):

Air Quality ◽

Model Evaluation ◽

Air Pollutants ◽

North China ◽

Phase Iii ◽

Comparison Study ◽

Model Ensemble ◽

Near Surface ◽

Ensemble Mean

Abstract. Topic 3 of the Model Inter-Comparison Study for Asia (MICS-Asia) Phase III examines how online coupled air quality models perform in simulating high aerosol pollution in the North China Plain region during wintertime haze events and evaluates the importance of aerosol radiative and microphysical feedbacks. A comprehensive overview of the MICS-ASIA III Topic 3 study design, including descriptions of participating models and model inputs, the experimental designs, and results of model evaluation, are presented. Two winter months (January 2010 and January 2013) were selected as study periods, when severe haze occurred in North China. Simulations were designed to evaluate radiative and microphysical feedbacks, together and separately, relative to simulations without feedbacks. Six modeling groups from China, Korea and the United States submitted results from seven applications of online coupled chemistry-meteorology models. Results are compared to meteorology and air quality measurements, including the Campaign on Atmospheric Aerosol Research Network of China (CARE-China) network, and the Acid Deposition Monitoring Network in East Asia (EANET). The analysis focuses on model evaluations and aerosol effects on meteorology and air quality, and potentially other interesting topics, such as the impacts of model resolutions on aerosol-radiation-weather interactions. The model evaluations for January 2010 show that current online-coupled meteorology-chemistry model can generally well reproduced meteorological features and variations of major air pollutants, including aerosol concentrations. The correlation coefficients between multi-model ensemble mean and observed near-surface temperature, water vapor mixing ratio and wind speeds can reach as high as 0.99, 0.99 and 0.98. The correlation coefficients between multi-model ensemble mean and the CARE-China observed near-surface air pollutants range from 0.51 to 0.94 (0.51 for ozone and 0.94 for PM2.5). However, large discrepancies exist between simulated aerosol chemical compositions from different models, which is due to different parameterizations of chemical reactions. The coefficient of variation (standard deviation divided by average) can reach above 1.3 for sulfate in Beijing, and above 1.6 for nitrate and organic aerosol in coastal regions, indicating these compositions are less consistent from different models. During clean periods, simulated Aerosol Optical Depths (AOD) from different models are consistent, but peak values differ during severe haze event, which can be explained by the differences in simulated inorganic aerosol concentrations and the hygroscopic growth efficiency (affected by varied RH). These results provide some brief senses of how current online-coupled meteorology-chemistry models reproduce severe haze events, and some directions for future model improvements.

Socioeconomic inequalities and exposure to traffic-related air pollution in the city of São Paulo, Brazil

Cadernos de Saúde Pública ◽

10.1590/0102-311x00168412 ◽

2014 ◽

Vol 30 (1) ◽

pp. 119-125 ◽

Cited By ~ 9

Author(s):

Mateus Habermann ◽

Míriam Souza ◽

Rogério Prado ◽

Nelson Gouveia

Keyword(s):

Air Pollution ◽

Socioeconomic Status ◽

Air Pollutants ◽

Epidemiological Studies ◽

Sao Paulo ◽

Health Concern ◽

Traffic Density ◽

São Paulo ◽

The Relationship ◽

The City

Air pollution is a leading public health concern. In addition, poor populations have been reported as showing increased exposure to such pollution. The current study thus aimed to evaluate the socioeconomic status of the population exposed to vehicle-related air pollution in the city of São Paulo, Brazil. The study used data from the 2010 Census on head-of-household’s mean monthly income and the percentage of households connected to the sewage system. Exposure to air pollutants was estimated according to traffic density in the census tract plus a 200m surrounding buffer. The relationship between exposure and socioeconomic variables was analyzed by the Kruskal-Wallis test. Exposure increased with increasing socioeconomic status (p < 0.001). The population with the highest socioeconomic status lives in the most polluted areas of the city. However, place of residence alone is not capable of measuring exposure. The study suggests that future epidemiological studies include other indicators of vulnerability.

Pre-monsoon air quality over Lumbini, a world heritage site along the Himalayan foothills

10.5194/acp-2016-430 ◽

2016 ◽

Cited By ~ 2

Author(s):

Dipesh Rupakheti ◽

Bhupesh Adhikary ◽

Puppala S. Praveen ◽

Maheswar Rupakheti ◽

Shichang Kang ◽

...

Keyword(s):

Air Pollution ◽

Air Quality ◽

Forest Fires ◽

Air Pollutants ◽

Transport Model ◽

World Heritage ◽

World Heritage Site ◽

Pollution Level ◽

Pollution Transport ◽

Heritage Site

Abstract. Lumbini, in southern Nepal, is a UNESCO world heritage site of universal value as the birthplace of Buddha. Poor air quality in Lumbini and surrounding regions is a great concern for public health as well as for preservation, protection and promotion of Buddhist heritage and culture. We present here results from measurements of ambient concentrations of key air pollutants (PM, BC, CO, O3) in Lumbini, first of its kind for Lumbini, conducted during an intensive measurement period of three months (April–June 2013) in the pre-monsoon season. The measurements were carried out as a part of the international air pollution measurement campaign; SusKat-ABC (Sustainable Atmosphere for the Kathmandu Valley – Atmospheric Brown Clouds). The ranges of hourly average concentrations were: PM10: 10.5–604.0 µg m−3, PM2.5: 6.1–272.2 µg m−3; BC: 0.3–30.0 µg m−3; CO: 125.0–1430.0 ppbv; and O3: 1.0–118.1 ppbv. These levels are comparable to other very heavily polluted sites throughout South Asia. The 24-h average PM2.5 and PM10 concentrations exceeded the WHO guideline very frequently (94 % and 85 % of the sampled period, respectively), which implies significant health risks for the residents and visitors in the region. These air pollutants exhibited clear diurnal cycles with high values in the morning and evening. During the study period, the worst air pollution episodes were mainly due to agro-residue burning and regional forest fires combined with meteorological conditions conducive of pollution transport to Lumbini. Fossil fuel combustion also contributed significantly, accounting for more than half of the ambient BC concentration according to aerosol spectral light absorption coefficients obtained in Lumbini. WRF-STEM, a regional chemical transport model, was used to simulate the meteorology and the concentrations of pollutants. The model was able to reproduce the variation in the pollutant concentrations well; however, estimated values were 1.5 to 5 times lower than the observed concentrations for CO and PM10 respectively. Regionally tagged CO tracers showed the majority of CO came from the upwind region of Ganges valley. The model was also used to examine the chemical composition of the aerosol mixture, indicating that organic carbon was the main constituent of fine mode PM2.5, followed by mineral dust. Given the high pollution level, there is a clear and urgent need for setting up a network of long-term air quality monitoring stations in the greater Lumbini region.