Comparison of Air Pollutants and Air Quality Index using Spatio-Temporal Variation in Chennai City, Tamil Nadu

نویسندگان

چکیده

In recent years, air pollution in Chennai city India causes some health effects. This study examines the spatial-temporal characteristics of ambient quality five stations Adyar, Anna Nagar, Kilpauk, Nungambakkam and Thiyagaraya Nagar from 2017 to 2022. The surface level aerosol pollutants like particulate matters (PM 2.5 & PM 10 ) gaseous Sulfur dioxide (SO 2 Nitrogen (NO were obtained Tamilnadu Pollution Control Board (TPCB) for years which includes pre-COVID, during Post- COVID - period. results showed that fine matter coarse ), decreased by 19.49% 31.91% respectively pollutant SO2 NO2 slightly increased 7.84% 1.2 % 2021 as compared with 2017.The exceeded National Ambient Air Quality Standards (NAAQS) well WHO recommended Guidelines 2017-2019(Pre-COVID) low 2020-2021(During Post-COVID). average Index (AQI), calculated date 120(2018-2019) 93(2020-2021) city. AQI /PM highest winter lower summer. PM10 was primary pollutant, followed NO , SO spatial temporal variations. proportion but NO2. offers useful data resources further research on Chennai's quality.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Evaluation of Seasonal and Spatial Variations of Air Quality Index and Ambient Air Pollutants in Isfahan Using Geographic Information System

Introduction: Due to more than 1.7 million population, many vehicles and large industries around Isfahan, it has become one of the most polluted cities in Iran. The aim of this study was a spatial analysis of the concentrations of air pollutants and the air quality index (AQI). Materials and Methods: In this descriptive and evaluative study, the air quality data of 7 monitoring stations in 201...

متن کامل

Seasonal variation of air quality index and assessment

Different methods have been designed to calculate the air quality index in form of mathematical formula. But the formula designed by Central Pollution Control Board in 2014 is more robust to find out the air quality category. The index has been calculated based upon four parameters like particulate matters (PM10, PM2.5), sulfur oxide and nitrogen oxide. The study area has affected by different ...

متن کامل

Spatio-Temporal Assessment of Air Pollution from Thermal Stations and Vehicular Pollution from Urban places in Tamil Nadu

India has evolved as self reliance country at all forefronts. Demand for energy is on rise due to the robust development of sectors like Automobile, Chemical, Information Technology and ITES in most part of the metropolitan states in India. There is a great deficit on energy particularly with supply chain management in Tamil Nadu. Government is exploring new ways of harnessing clean and green e...

متن کامل

Interpretation of Air Quality Data Using Air Quality Index for the City of Cochin, India

Under the National Ambient Air Quality (NAQM) Monitoring program, air quality in the city of Cochin is being regularly monitored by Central Pollution Control Board. Air quality management programme requires reliable information of air quality collected, evaluated and analysed regularly. This is of paramount importance in protecting man and his environment from damaging exposure to air pollution...

متن کامل

Assessment of the Air Quality of Isfahan City, Iran, Using Selected Air Quality Parameters

Background: Today, air pollution is one of the major problems in large cities including Isfahan. Methods: The objective of this study was to investigate the variations of ozone (O3), carbon monoxide (CO), nitric oxide (NO), nitrogen dioxide (NO2), nitrogen oxides (NOx), sulphur dioxide (SO2), and particulate matter (PM10) concentrations in different months at three stations and also to explore ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: E3S web of conferences

سال: 2023

ISSN: ['2555-0403', '2267-1242']

DOI: https://doi.org/10.1051/e3sconf/202340504002