Experiences in the modelling of traffic policy measures for ambient air quality management in Lithuania

2008 ◽  
Vol 35 (1) ◽  
pp. 13 ◽  
Author(s):  
Linas Kliucininkas ◽  
Simona Balkeviciene ◽  
Jolita Mockuviene ◽  
Walter Leal Filho
Keyword(s):  
Air Quality ◽  
Quality Management ◽  
Ambient Air ◽  
Air Quality Management ◽  
Ambient Air Quality ◽  
Policy Measures

scholarly journals An Overview of Experiences Made and Tools Used to Inform the Public on Ambient Air Quality

Atmosphere ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 1524
Author(s):  
Alessandra Fino ◽  
Francesca Vichi ◽  
Cristina Leonardi ◽  
Krishnendu Mukhopadhyay
Keyword(s):  
Air Quality ◽  
Quality Management ◽  
Management Practices ◽  
Public Awareness ◽  
Ambient Air ◽  
Environmental Safety ◽  
Air Quality Management ◽  
Ambient Air Quality ◽  
The Public ◽  
The Status

Legislative regulations on atmospheric pollution have been established in different parts of the world for addressing air quality management. An important public commitment, common among all nations, is to ensure environmental safety and health protection, particularly for the most fragile population groups. Each country has its own rules and practices to provide adequate and timely information on ambient air quality. Information is given either through easily accessible media, including websites and apps, or by traditional means of telecommunication. An air quality index (AQI) is definitely a valuable tool for disseminating data on the main regulated pollutants and represents a readable indicator of the prevailing situation of air quality in the area. Several calculating expressions were formulated to combine, in a unique value, different parameters, and a few methods were created to determine and compare different AQIs. This paper gives almost a global overview of approaches and tools used to inform the public about the status of the ambient air quality. Different AQIs are analyzed to contribute to the sharing of air quality management practices and information to raise public awareness and to help policymakers to act accordingly.

scholarly journals The quality of the first and second Vaal Triangle Airshed Priority Area (VTAPA) Air Quality Management Plans

2021 ◽  
Vol 31 (2) ◽  
Author(s):  
Lehlogonolo Moreoane ◽  
Phathutshedzo Mukwevho ◽  
Roelof Burger
Keyword(s):  
Air Quality ◽  
Quality Management ◽  
Second Generation ◽  
Ambient Air ◽  
Air Quality Management ◽  
Ambient Air Quality ◽  
Priority Area ◽  
Management Plans ◽  
Vaal Triangle

In response to deteriorating air quality, South Africa implemented national programmes that aim to manage and regulate ambient air quality and air pollution. Air Quality Management Plans (AQMPs) are clear outlines of measures and resources needed to achieve air quality objectives in a given geographical area and require support from government, business, industry, non-governmental organisations (NGOs) and the public. The success of the AQMPs depends primarily on the support of all stakeholders and the quality of the management plan. The Vaal Triangle Airshed Priority Area (VTAPA) was declared in 2006 as an area where ambient air quality standards are exceeded or may cause adverse air quality impacts. This research study focused on the VTAPA to evaluate the quality of the first and second-generation AQMPs for the VTAPA. Quality evaluation includes an analysis of procedures, processes, methods and documents. Effectiveness refers to the results of individual activities; therefore, the extent to which the AQMP met the expected outcomes of the review package defined the quality of the AQMP report. Both the first and draft second-generation AQMPs were considered to be of good quality. The first-generation AQMP was found to be of better quality than that of the draft second-generation AQMP. Funding mechanisms need to be investigated to assist in implementing intervention strategies in the AQMP as both the first and draft second-generation AQMPs were found to lack the potential to secure funds. Though the draft second-generation AQMP was found to be of lesser quality, the source apportionment study for identification of all sources as well as a better-outlined air quality management system was found to be good improvements to the AQMP.

scholarly journals Use of Simulated and Observed Meteorology for Air Quality Modeling and Source Ranking for an Industrial Region

2021 ◽  
Vol 13 (8) ◽  
pp. 4276
Author(s):  
Awkash Kumar ◽  
Anil Kumar Dikshit ◽  
Rashmi S. Patil
Keyword(s):  
Air Quality ◽  
Quality Management ◽  
Environmental Protection Agency ◽  
Dispersion Model ◽  
Meteorological Data ◽  
Ground Level ◽  
Ambient Air ◽  
Industrial Area ◽  
Air Quality Management ◽  
Low Middle Income Countries

The Gaussian-based dispersion model American Meteorological Society/Environmental Protection Agency Regulatory Model (AERMOD) is being used to predict concentration for air quality management in several countries. A study was conducted for an industrial area, Chembur of Mumbai city in India, to assess the agreement of observed surface meteorology and weather research and forecasting (WRF) output through AERMOD with ground-level NOx and PM10 concentrations. The model was run with both meteorology and emission inventory. When results were compared, it was observed that the air quality predictions were better with the use of WRF output data for a model run than with the observed meteorological data. This study showed that the onsite meteorological data can be generated by WRF which saves resources and time, and it could be a good option in low-middle income countries (LIMC) where meteorological stations are not available. Also, this study quantifies the source contribution in the ambient air quality for the region. NOx and PM10 emission loads were always observed to be high from the industries but NOx concentration was high from vehicular sources and PM10 concentration was high from industrial sources in ambient concentration. This methodology can help the regulatory authorities to develop control strategies for air quality management in LIMC.

scholarly journals Evaluating the Utility of High-Resolution Spatiotemporal Air Pollution Data in Estimating Local PM2.5 Exposures in California from 2015–2018

Atmosphere ◽  
2022 ◽  
Vol 13 (1) ◽  
pp. 85
Author(s):  
Laura Gladson ◽  
Nicolas Garcia ◽  
Jianzhao Bi ◽  
Yang Liu ◽  
Hyung Joo Lee ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Air Pollution ◽  
Air Quality ◽  
High Resolution ◽  
Quality Management ◽  
Atmospheric Correction ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Air Quality Management ◽  
Spatial Coverage

Air quality management is increasingly focused not only on across-the-board reductions in ambient pollution concentrations but also on identifying and remediating elevated exposures that often occur in traditionally disadvantaged communities. Remote sensing of ambient air pollution using data derived from satellites has the potential to better inform management decisions that address environmental disparities by providing increased spatial coverage, at high-spatial resolutions, compared to air pollution exposure estimates based on ground-based monitors alone. Daily PM2.5 estimates for 2015–2018 were estimated at a 1 km2 resolution, derived from NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) satellite instrument and the Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm in order to assess the utility of highly refined spatiotemporal air pollution data in 92 California cities and in the 13 communities included in the California Community Air Protection Program. The identification of pollution hot-spots within a city is typically not possible relying solely on the regulatory monitoring networks; however, day-to-day temporal variability was shown to be generally well represented by nearby ground-based monitoring data even in communities with strong spatial gradients in pollutant concentrations. An assessment of within-ZIP Code variability in pollution estimates indicates that high-resolution pollution estimates (i.e., 1 km2) are not always needed to identify spatial differences in exposure but become increasingly important for larger geographic areas (approximately 50 km2). Taken together, these findings can help inform strategies for use of remote sensing data for air quality management including the screening of locations with air pollution exposures that are not well represented by existing ground-based air pollution monitors.

scholarly journals Investigating Air Quality and Air-related Complaints in the City of Tshwane, South Africa

2011 ◽  
Vol 20 (2) ◽  
Author(s):  
C Wright ◽  
M.A Oosthuizen ◽  
J Mostert ◽  
L Van Niekerk3
Keyword(s):  
Air Quality ◽  
Quality Management ◽  
Performance Indicator ◽  
Ambient Air ◽  
Health Data ◽  
Ambient Air Pollution ◽  
Air Quality Management ◽  
Tract Infections ◽  
The Impact ◽  
The City

To determine the impact of implemented air quality interventions beyond ambient air pollution reductions, indicators need to be identified and appropriate health data need to be routinely collected to track airrelated health. Presently, the only regulated environmental health performance indicator routinely collected as part of air quality management is the air-related complaint lodged by the public. Here, five years of air-related complaints (n = 875) made by residents in the City of Tshwane (Pretoria, Gauteng)were analysed and considered in relation to ambient SO and PM concentrations monitored at 2 10 permanent air quality monitoring stations. When considering exceedances of the National Ambient Air Quality Standards, there were 17 complaint days with either an SO or PM daily average concentration 2 10 exceedance. However, it was very difficult to make meaningful conclusions about the relation between ambient AQ and air-related complaints given social, economic and data challenges and constraints. There is a real need to have local, air-related health data, for example, upper and lower respiratory tract infections, asthma, etc, generated at clinics and hospitals delivered directly and on an on-going, continuously updated basis to those responsible for implementation of air quality management plans.

scholarly journals Integrating Air-related Health Surveillance into Air Quality Management: Perceptions and Practicalities

2012 ◽  
Vol 21 (1) ◽  
pp. 3-10
Author(s):  
C. Wright ◽  
M.A. Oosthuizen ◽  
M. Steyn
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Quality Management ◽  
Personal Exposure ◽  
Ambient Air ◽  
Health Surveillance ◽  
Ambient Air Pollution ◽  
Mitigation Measures ◽  
Air Quality Management ◽  
Positive Health

Health surveillance is presently not an integral part of air quality management in South Africa, although ambient air pollution standards are derived from health effects of personal exposure. In a survey to air quality officials and environmental health practitioners (n = 361 ), respondents were asked to comment on a discussion document regarding ways to put health onto the air quality management agenda. Less than 7% of the sample (n = 23) responded, the most likely reasons being: overloaded staff; lack of knowledge about air quality-related health; and apathy. All respondents acknowledged their support of the concepts, one suggested inclusion of PM25 and airspora over and above criteria pollutants, and one mentioned use of an indicator 'number of complaints of visual air pollution and odour'. In general, it would appear that the links between air quality and health risks are not well understood and, more importantly, assessing airrelated health outcomes with respect to air quality is not a part of Local Municipalities' Integrated Development Plans. To motivate for necessary changes in Health Information Systems and data management, evidence of valuable application is required. Without readily available health facility and local municipality-specific data on respiratory and cardiovascular illnesses, it will prove difficult to track whether implemented air pollution mitigation measures will have positive health impacts.

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