Development of an aggregate Air Quality Index for an urban Mediterranean agglomeration: Relation to potential health effects

Kyrkilis, George; Chaloulakou, A.; Kassomenos, Pavlos

doi:10.1016/j.envint.2007.01.010

Cited by 177 publications

(112 citation statements)

References 15 publications

Supporting

Mentioning

105

Contrasting

Unclassified

Order By: Relevance

“…To avoid the potential for overstating the risk associated with low concentrations of several pollutants, some metrics have used a power sum (e.g., root-mean-square) rather than a linear sum (Kyrkilis et al, 2007;Swamee and Tyagi, 1999). The method has been extended to account for variability in the composition of the pollutant mixture and to calculate metrics using data from multiple sites (Plaia et al, 2013;Ruggieri and Plaia, 2012).…”

Section: Metrics Based On Health Effectsmentioning

confidence: 99%

Evaluating the application of multipollutant exposure metrics in air pollution health studies

Oakes¹,

Baxter

Long

2014

Environment International

View full text Add to dashboard Cite

a b s t r a c t a r t i c l e i n f oBackground: Health effects associated with air pollution are typically evaluated using a single pollutant approach, yet people are exposed to mixtures consisting of multiple pollutants that may have independent or combined effects on human health. Development of exposure metrics that represent the multipollutant environment is important to understand the impact of ambient air pollution on human health. Objectives: We reviewed existing multipollutant exposure metrics to evaluate how they can be applied to understand associations between air pollution and health effects. Methods: We conducted a literature search using both targeted search terms and a relational search in Web of Science and PubMed in April and December 2013. We focused on exposure metrics that are constructed from ambient pollutant concentrations and can be broadly applied to evaluate air pollution health effects. Results: Multipollutant exposure metrics were identified in 57 eligible studies. Metrics reviewed can be categorized into broad pollutant grouping paradigms based on: 1) source emissions and atmospheric processes or 2) common health outcomes. Discussion: When comparing metrics, it is apparent that no universal exposure metric exists; each type of metric addresses different research questions and provides unique information on human health effects. Key limitations of these metrics include the balance between complexity and simplicity as well as the lack of an existing "gold standard" for multipollutant health effects and exposure. Conclusions: Future work on characterizing multipollutant exposure error and joint effects will inform development of improved multipollutant metrics to advance air pollution health effects research and human health risk assessment.

show abstract

Section: Metrics Based On Health Effectsmentioning

confidence: 99%

Evaluating the application of multipollutant exposure metrics in air pollution health studies

Oakes¹,

Baxter

Long

2014

Environment International

View full text Add to dashboard Cite

show abstract

“…An aggregate AQI was proposed by Kyrkilis et al in 2007. The index is based on the combined effects of five criteria pollutants (CO, SO 2 , NO 2 , O 3 , and PM 10 ) taking into account the European standards.…”

Section: Aggregate Air Quality Index (Aqi)mentioning

confidence: 99%

A Review on Air Quality Indexing System

Kanchan¹,

Gorai²,

Goyal³

2015

Asian J. Atmos. Environ

104

View full text Add to dashboard Cite

Air quality index (AQI) or air pollution index (API) is commonly used to report the level of severity of air pollution to public. A number of methods were dev eloped in the past by various researchers/environ mental agencies for determination of AQI or API but there is no universally accepted method exists, which is appropriate for all situations. Different method uses different aggregation function in calculating AQI or API and also considers different types and numbers of pollutants. The intended uses of AQI or API are to identify the poor air quality zones and public reporting for severity of exposure of poor air quality. Most of the AQI or API indices can be broad ly classify as single pollutant index or multipollut ant index with different aggregation method. Every indexing method has its own characteristic strengths and weaknesses that affect its suitability for particu lar applications. This paper attempt to present a review of all the major air quality indices developed worldwide.Key words: Air pollution, Air quality index, Health, Environmental factors, Literature review IntroductIonAir pollution is global environmental problem that influences mostly health of urban population. Over the past few decades, epidemiological studies have dem onstrated adverse health effects due to higher ambient levels of air pollution. Studies have indicated that rep eated exposures to ambient air pollutants over a pro longed period of time increases the risk of being sus ceptible to air borne diseases such as cardiovascular disease, respiratory disease, and lung cancer (WHO, 2009). Air pollution has been consistently linked to substantial burdens of illhealth in developed and devel oping countries Bruce et al., 2000;Smith et al., 2000; WHO, 1999;Schwartz, 1994).Globally, many cities continuously assess air quality using monitoring networks designed to measure and record air pollutant concentrations at several points deemed to represent exposure of the population to these pollutants. Current research indicates that guide lines of recommended pollution values cannot be regar ded as threshold values below which a zero adverse response may be expected. Therefore, the simplistic comparison of observed values against guidelines may mislead unless suitably quantified. In recent years, air quality information are provided by governments to the public comes in a number of forms like annual reports, environment reviews, and site or subject specific anal yses/report. These are generally having available or access to limited audiences and also require time, inter est and necessary background to digest its contents. Presently, governments throughout the world have also started to use realtime access to sophisticated database management programs to provide their citizens with access to sitespecific air quality index/air pollution index and its probable health consequences. Thus, a more sophisticated tool has been developed to commu nicate the health risk of ambient concentrations using air pollution index (API) or air quality i...

show abstract

“…According to the suggestions put forward by Swamee and Tyagi [4], Kyrkilis et al [12] developed an aggregate AQI for Athens, Greece. Since the aggregate AQI does not clearly explain the established exposure-response relationships among the pollutants, Cairncross et al [13] proposed a health-risk-based AQI.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Expression Way for Air Quality Index with More Comprehensive Information

et al. 2017

View full text Add to dashboard Cite

Abstract:The Air Quality Index (AQI) is an evaluating indicator for the atmospheric environment released by various environmental monitoring centers to communicate the present air quality status to the public, which is calculated by the aid of the monitored concentrations of six common air pollutants and relevant computational formulae. Considering that the historical data of daily overall AQI illustrated by the traditional expression way merely contain limited information about the original data, this paper puts forward a more concrete and intuitive way to express the air quality in the past day. By analyzing the data concerning individual air quality indices of pollutants gathered from five cities of China for six consecutive months and conducting the curve fitting, each sub-index is recommended to be set as a Gaussian fuzzy number. Accordingly, taking advantage of the novel operational law for fuzzy numbers, the fuzzy distribution and membership function of the daily overall AQI can be deduced immediately, which as a reference contributes to the users acquiring the information more intuitively and facilitates making plans or decisions. Subsequently, a case study taking Shanghai as a background is conducted to elaborate the application of the proposed approach. Furthermore, the line chart reflecting the overall air quality status in a past period is depicted, based on which an example of selecting a tourist destination is given to demonstrate its utilization.

show abstract

Development of an aggregate Air Quality Index for an urban Mediterranean agglomeration: Relation to potential health effects

Cited by 177 publications

References 15 publications

Evaluating the application of multipollutant exposure metrics in air pollution health studies

Evaluating the application of multipollutant exposure metrics in air pollution health studies

A Review on Air Quality Indexing System

A Fuzzy Expression Way for Air Quality Index with More Comprehensive Information

Contact Info

Product

Resources

About