Temporal Variation of Urban Air Quality in Nanchong, a Big City of Southwest China

2014 ◽  
Vol 1010-1012 ◽  
pp. 385-388
Author(s):  
Kun Li ◽  
Xiao Shuang Tong ◽  
You Ping Li ◽  
Hong Zhou
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Temporal Variation ◽  
Southwest China ◽  
Pollution Index ◽  
Urban Air Quality ◽  
Urban Air ◽  
Mean Values ◽  
Air Pollution Index ◽  
Big City

The article applied 2008-2012 hourly mass concentrations of PM10, SO2and NO2and air pollution index (API) data to discuss the temporal variation of urban air quality in Nanchong, a big southwest city in China. The results showed that the annual mean PM10,SO2and NO2concentrations during 5 years were 61±1μg.m-3, 45±4μg.m-3, 35±5μg.m-3, respectively. And the annual mean concentrations and API values presented decreasing tendency, which were less than the annual second-level air quality limit except for NO2in 2008. In addition, the monthly mean values in spring and winter were higher than those in summer and fall, which the maximum appeared in December, and January, the minimum appeared in July and August.

Temporal Variation of Urban Ambient Air Quality in Nanchong, China

2013 ◽  
Vol 864-867 ◽  
pp. 953-957 ◽  
Author(s):  
You Ping Li ◽  
Hong Zhou ◽  
Hui Fang Liu
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Temporal Variation ◽  
Ambient Air ◽  
Urban Air Quality ◽  
Urban Air ◽  
Ambient Air Quality ◽  
Mean Values ◽  
June July ◽  
Mass Concentrations

The study applied 2008-2012 hourly mass concentrations of SO2, NO2and PM10and air pollution indexes (API) to discuss the temporal variation of urban air quality in Nanchong, a southwest city in China. The results showed that the total annual mean SO2, NO2and PM10concentrations during the 5 years were 0.045±0.004mg/m3, 0.035±0.005mg/m3, 0.061±0.001 mg/m3, respectively. And the annual mean concentrations and API values presented decreasing tendency, which were less than the annual second-level air quality limit except for NO2(0.042mg/m3) in 2008. In addition, the monthly mean values in spring and winter were higher than those in summer and fall, which the maximum appeared in December, January and February and the minimum appeared in June, July and August. The ratio of reaching standard presented increasing tendency, but PM10and SO2were the main contribution to air pollution in Nanchong.

Assessing the impact of the New Athens airport to urban air quality with contemporary air pollution models

1997 ◽  
Vol 31 (10) ◽  
pp. 1497-1511 ◽  
Author(s):  
N. Moussiopoulos ◽  
P. Sahm ◽  
K. Karatzas ◽  
S. Papalexiou ◽  
A. Karagiannidis
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Urban Air Quality ◽  
Urban Air ◽  
The Impact ◽  
Air Pollution Models

Residents’ preferred measures and willingness-to-pay for improving urban air quality: A case study of Hanoi city, Vietnam

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Thanh Cong Nguyen ◽  
Hang Dieu Nguyen ◽  
Hoa Thu Le ◽  
Shinji Kaneko
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Willingness To Pay ◽  
Public Transportation ◽  
Online Survey ◽  
Urban Air Quality ◽  
Multivariate Probit ◽  
Urban Air ◽  
Content Type ◽  
Public Opinions

PurposeThis purpose of this paper is to understand residents’ choice of preferred measures and their willingness-to-pay (WTP) for the measures to improve the air quality of Hanoi city.Design/methodology/approachQuestionnaire surveys were conducted to collect the opinions of 212 household representatives living in Hanoi City. The survey tools were tested and adjusted through an online survey with 191 responses. Multivariate probit and linear regression models were used to identify determinants of respondents’ choices of measures and their WTP.FindingsRespondents expressed their strong preferences for three measures for air quality improvements, including: (1) increase of green spaces; (2) use of less polluting fuels; (3) expansion of public transportation. The mean WTP for the implementation of those measures was estimated at about 148,000–282,000 Vietnamese dong, equivalent to 0.09–0.16% of household income. The respondents’ choices appear to be consistent with their characteristics and needs, such as financial affordability, time on roads and their perceived impacts of air pollution. The WTP estimates increase with perception of air pollution impacts, time on roads, education and income; but are lower for older people.Originality/valueTo gain a better understanding of public opinions, we applied multivariate probit models to check whether respondents’ choices were consistent with their characteristics and perceptions. This appears to be the first attempt to test the validity of public opinions on choices of measures for improving urban air quality in Vietnam. Our WTP estimates also contribute to the database on the values of improved air quality in the developing world.

scholarly journals Assessment of urban air quality in China using air pollution indices (APIs)

2012 ◽  
Vol 63 (2) ◽  
pp. 170-178 ◽  
Author(s):  
Litao Wang ◽  
Pu Zhang ◽  
Shaobo Tan ◽  
Xiujuan Zhao ◽  
Dandan Cheng ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Urban Air Quality ◽  
Pollution Indices ◽  
Urban Air

scholarly journals Determining the PM10 and PM2.5 Concentrations in Prayagraj City due to Solid Waste Burning using AERMOD

2021 ◽  
Vol 9 (8) ◽  
pp. 2840-2845
Author(s):  
Abhijeet Singh
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Uttar Pradesh ◽  
Urban Air Quality ◽  
Air Pollutant ◽  
Urban Air ◽  
Pollutant Concentrations ◽  
Waste Burning

Abstract: Open burning of municipal solid waste (MSW) is a poorly-characterized and frequently-underestimated source of air pollution in developing countries. This paper estimates the air pollution happening from MSW burning in municipality areas of the Prayagraj, Uttar Pradesh, India. Air quality models (AQMs) are critical components for urban air quality management because they can predict and forecast air pollutant concentrations. Advanced AQM, such as AERMOD, has a well-established application in the developed world provided sufficient input data is available. However, in poor countries, it is limited due to a lack of adequate and trustworthy data. The present study is focused to assess the urban air quality due to municipal solid waste burning around a Sangam city Prayagraj in India using dispersion modelling. Keywords: PM10, PM2.5, Air Quality Modelling, AERMOD

scholarly journals High-resolution mapping of urban air quality with heterogeneous observations: a new methodology and its application to Amsterdam

2019 ◽  
Author(s):  
Bas Mijling
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Low Cost ◽  
Urban Air Pollution ◽  
Heterogeneous Data ◽  
Urban Air Quality ◽  
Quality Data ◽  
Urban Air ◽  
Reference Measurements ◽  
Concentration Patterns

Abstract. In many cities around the world people are exposed to elevated levels of air pollution. Often local air quality is not well known due to the sparseness of official monitoring networks, or unrealistic assumptions being made in urban air quality models. Low-cost sensor technology, which has become available in recent years, has the potential to provide complementary information. Unfortunately, an integrated interpretation of urban air pollution based on different sources is not straightforward because of the localized nature of air pollution, and the large uncertainties associated with measurements of low-cost sensors. In this study, we present a practical approach to producing high spatio-temporal resolution maps of urban air pollution capable of assimilating air quality data from heterogeneous data streams. It offers a two-step solution: (1) building a versatile air quality model, driven by an open source atmospheric dispersion model and emission proxies from open data sources, and (2) a practical spatial interpolation scheme, capable of assimilating observations with different accuracies. The methodology, called Retina, has been applied and evaluated for nitrogen dioxide (NO2) in Amsterdam, the Netherlands, during the summer of 2016. The assimilation of reference measurements results in hourly maps with a typical accuracy of 39 % within 2 km of an observation location, and 53 % at larger distances. When low-cost measurements of the Urban AirQ campaign are included, the maps reveal more detailed concentration patterns in areas which are undersampled by the official network. During the summer holiday period, NO2 concentrations drop about 10 % due to reduced urban activity. The reduction is less in the historic city center, while strongest reductions are found around the access ways to the tunnel connecting the northern and the southern part of the city, which was closed for maintenance. The changing concentration patterns indicate how traffic flow is redirected to other main roads. Overall, we show that Retina can be applied for an enhanced understanding of reference measurements, and as a framework to integrate low-cost measurements next to reference measurements in order to get better localized information in urban areas.

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