Wyniki wyszukiwania - BazTech

Ograniczanie wyników

1 Acta Geophysica

1 2024

Znaleziono wyników: 1

Liczba wyników na stronie

Wyniki wyszukiwania

Sortuj według:

Ogranicz wyniki do:

Assessment of daily concentrations of air pollutants over four stations of Andhra Pradesh, India, during 2019-2022

Gogineni Rajesh, Umakanth Nandivada, Ramakrishna Yarlagadda, Veeraswamy Parise

Acta Geophysica

2024

Vol. 72, no. 2

1227--1249

In recent years, pollution levels have increased to dangerous levels in several Indian cities. These levels are posing a severe threat to human’s health. Using the data from Central Pollution Control Board (CPCB), the current work focuses on highlighting the primary air pollutants in various regions such as Visakhapatnam (VSK), Hyderabad (HYD), Amaravati (AMV), and Tirupati (TPTY). Data from the Zoo Park area were used to study the location of HYD. Sulphur dioxide (SO2), carbon monoxide (CO), nitrogen dioxide (NO2), nitrogen oxides (NOX), particulate matter with particles less than 2.5 gm in diameter (PM2.5), particulate matter with particles less than 10 gm in diameter (PM10), and ozone (O3) are the air pollutants used for analysis in this work. An attempt was made to research the meteorological factors that contribute to the rising levels of air pollution between 2019 and 2022. Wind speed (WS), temperature (TEMP), relative humidity (RHUM), rainfall (RF), and solar radiation (SR) are the meteorological variables used in the analysis. The prediction of PM2.5 and PM10 was done using artificial neural network (NN) method. The NN method's outcomes show strong correlation in the forecasting of air pollution across four locations. The VSK station exhibited a high correlation of 91.29%, whereas TPTY station had a low correlation of 82.1%, based on CPCB PM2.5 observation and NN technique. The VSK station revealed a high correlation of 90.30%, whereas TPTY station had a low correlation of 81.61%, based on CPCB PM10 observation and NN technique.