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 Capabilities and Gaps Assessments of Urban Air Quality Manage-ment in Uganda

2015 ◽  
Vol 47 (1) ◽  
pp. 1
Author(s):  
Amin Tamale Kiggundu
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Fossil Fuels ◽  
Public Awareness ◽  
Urban Air Quality ◽  
Urban Air ◽  
Awareness Campaigns ◽  
Vehicle Inspection ◽  
National Environment ◽  
Waste Burning

Today, large cities across the globe are facing a pervasive problem of air pollution.  The purpose of this study is to assess the capabilities and gaps in urban air quality management in Uganda as well as proposing strategies for curbing air pollution. This study applied face to face interviews, targeting key informants such as the environmental experts, urbanization researchers and officials from the National Environment Management Authority (NEMA). Results show that rapid motorization, continued dependence on fossil fuels, open waste burning, biomass burning, industrialization, bushfires and urbanization are the key causes of air pollution in Uganda. To reduce air pollution and improve urban air quality it is critical to promote non-motorised mass transport, increase electricity access, regulate open waste burning, establish laboratories, strengthen local research and training capacity, promote collaborations, introduce more fuel efficient vehicles and periodic vehicle inspection and carry out public awareness campaigns about air pollution.

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.

Urban air pollution from the open burning of municipal solid waste

2019 ◽  
Author(s):  
O. B. Okedere ◽  
A. P. Olalekan ◽  
B. S. Fakinle ◽  
F. B. Elehinafe ◽  
O. A. Odunlami ◽  
...  
Keyword(s):  
Air Pollution ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Urban Air Pollution ◽  
Urban Air ◽  
Open Burning

scholarly journals Research on Urban Air Quality Prediction Based on Ensemble Learning of XGBoost

2020 ◽  
Vol 165 ◽  
pp. 02014
Author(s):  
Haotian Jing ◽  
Yingchun Wang
Keyword(s):  
Air Quality ◽  
Rapid Development ◽  
Absolute Error ◽  
Urban Air Quality ◽  
Urban Air ◽  
Quality Prediction ◽  
Prediction Ability ◽  
Air Quality Prediction ◽  
Pollutant Concentrations ◽  
Air Quality Assessment

In recent years, with the rapid development of China’s economy and the continuous improvement of people’s quality of life, air pollution caused by a large amount of energy consumption has become increasingly serious. Air quality index (AQI) has become an important basis to measure air quality. At present, the research on air quality assessment and prediction methods has become increasingly active at home and abroad, which is of great significance to guide people’s production and life. In this paper, Taking Shijiazhuang, Hebei Province as an example and using the XGBoost model of the machine learning ensemble algorithm, regression fitting was performed on the six pollutant concentrations that currently mainly affect air quality, and the hourly prediction of AQI was achieved.The trained model has lower mean absolute error (MAE) and higher correlation coefficient (R-square), which improves the prediction ability of urban air quality prediction, provides a new idea for urban air quality prediction, and has a broad application prospect in the future urban air quality prediction.

Using measurements of air pollution in streets for evaluation of urban air quality — meterological analysis and model calculations

1996 ◽  
Vol 189-190 ◽  
pp. 259-265 ◽  
Author(s):  
Ruwim Berkowicz ◽  
Finn Palmgren ◽  
Ole Hertel ◽  
Elisabetta Vignati
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Urban Air Quality ◽  
Urban Air ◽  
Model Calculations

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 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.

scholarly journals Urban Vegetation in Air Quality Management: A Review and Policy Framework

2020 ◽  
Vol 12 (3) ◽  
pp. 1258 ◽  
Author(s):  
Joanna Badach ◽  
Małgorzata Dymnicka ◽  
Andrzej Baranowski
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Quality Management ◽  
Urban Planning ◽  
Design Guidelines ◽  
Urban Air Quality ◽  
Policy Framework ◽  
Urban Air ◽  
Air Quality Management ◽  
Urban Greenery

Recent episodes of high air pollution concentration levels in many Polish cities indicate the urgent need for policy change and for the integration of various aspects of urban development into a common platform for local air quality management. In this article, the focus was placed on the prospects of improving urban air quality through proper design and protection of vegetation systems within local spatial planning strategies. Recent studies regarding the mitigation of air pollution by urban greenery due to deposition and aerodynamic effects were reviewed, with special attention given to the design guidelines resulting from these studies and their applicability in the process of urban planning. The conclusions drawn from the review were used to conduct three case studies: in Gdańsk, Warsaw, and Poznań, Poland. The existing local urban planning regulations for the management of urban greenery were critically evaluated in relation to the findings of the review. The results indicate that the current knowledge regarding the improvement of urban air quality by vegetation is not applied in the process of urban planning to a sufficient degree. Some recommendations for alternative provisions were discussed.

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