Analysis of air quality indices using fuzzy inference system

Swarna, E.; Nirmala, M.

doi:10.1109/icstm.2017.8089152

Cited by 2 publications

(1 citation statement)

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“…Fuzzy Inference System Based Air Quality Indices, 2017 22 The authors used a Mamdani fuzzy inference system-based model to assess the air quality of Chennai. They considered three pollutants; SO 2 , NO 2 and RSPM.…”

Section: Relative Weights Of Air Pollutantsmentioning

confidence: 99%

A Review of Chronological Evolution of Air Quality Indexing Systems (1966 To 2021)

Shah

Patel²

2021

Curr. World Environ

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Air quality index (AQI) also known as air pollution index (API) is the way of describing ambient air quality to assess the health risk associated with pollution. With the advent of time, there have been several air quality indexing systems starting from the first air Quality Index developed in 1966 by Marvin H. Green and various modifications have been made ever since to improve the accuracy of measurement. Such systems can assess the air quality by several factors like the concentration of different pollutants or by various empirically established formulas based on past experiences. In this review article, an effort has been made to chronologically evaluate the AQI system developed across the world from 1966 to 2021. Every indexing system has its own unique method for air quality determination and each method has its own merits and demerits. This pape rcovers various parameters, empirical relationships, standards, merits, and demerits, which in hind sight will help to develop an amalgamation of various indexing systems that can be used as a standard method for monitoring the quality of air. This paper also covers the AQI systems that prevail in India. A fuzzy logic system is very helpful in handling the uncertainty in air quality assessment. So, fuzzy-based air quality indexing systems developed from 2010 to 2017 have also been reviewed. The review of articles established that the results obtained through fuzzybased AQI aremore reliable than the other methods. Out of all the above describing methods, fuzzy synthetic evaluation-based AQI system and fuzzy air quality health index (FAQHI) are more powerful tools to describe the air quality. But till 2017, thereis no development of AQI systems based on fuzzy logic, considering PM2.5 as one of the pollutants. So, there is a need to develop the fuzzy-based AQI system considering PM2.5 as a pollutant with other air pollutants.

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Section: Relative Weights Of Air Pollutantsmentioning

confidence: 99%