Research Paper
Year: 2020 | Month: April | Volume: 7 | Issue: 4 | Pages: 265-270
The Descriptive Analysis of Air Pollutant Impact in Select Indian Cities
Bheemanagoudru Shivalinganagouda Sruthi1, Ponnaluru Srinivasa Sasdhar2
1Research Scholar. Department of Studies and Research in Economics, V.S.K University, Ballari.
2Assistant Professor, Department of Economics, Vijayanagara Sri Krishnadevaraya University, JnanaSagara Campus, Ballari.
Corresponding Author: Bheemanagoudru Shivalinganagouda Sruthi
ABSTRACT
Air pollution has significant impacts on Human Health. PM2.5 stands for Particulate Matter measuring 2.5 microns or less in diameter suspended in the air. PM2.5 can cause significant negative health impacts such as Ischemic Heart Disease (IHD), and Lung cancer. In India, 1.4 million people die each effect due to a health problem caused by air pollution. Heart disease 18,819 (2015), lung cancer 732,921 (2016) and 13% chronic obstructive pulmonary disease (COPD) are some of the major problems is observed in India. The objective of this study will be achieved using a Model estimated by ARIMA methodology. ARIMA methodology provides predicts prediction and forecasting abilities so that pollutant levels will be forecasting over time. We consider an Auto-Regressive Integrated Moving Average (ARIMA) model to explain the variability of particulate matter (PM2.5) levels across six different cities in India, using the daily observation data provided by the Central Pollution Control Board of India. Results from our model indicate that statistically significant differences exist in pollutant levels between Bangalore, Delhi, Chennai, Hyderabad, Vijayawada, and Vishakhapatnam. Seasonality in pollutant levels is also significant. Mean levels of pollutants are generally higher during winter months and lower around the monsoon season for all the south Indian cities. Results from our model could be useful for understanding and predicting the air pollutant trends and patterns of south Indian cities. The results can be of vital importance for environmental policy designs.
Keywords: Air pollution in India, ARIMA model, trends and patterns of PM2.5 levels.
[PDF Full Text]