Climate change, Air quality, and Heat-Related mortality: An analytical study

Author:   Candi Clotilda
Publisher:   Cze Publisher
ISBN:  

9798869131058


Pages:   136
Publication Date:   17 January 2024
Format:   Paperback
Availability:   In Print   Availability explained
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Climate change, Air quality, and Heat-Related mortality: An analytical study


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Overview

Extreme heat in recent years in the developed countries, including North America and Europe, has been associated with an appreciable rise in mortality in these countries. But little information is available about developing regions in South Asia. In the context of the increasingly visible consequences of air pollution and climate change, there is a need for reliable projections of the expected changes, the probability of their occurrence and their likely impact on health. The present study uses statistical models to estimate seasonal variations and project trends in temperature, air quality and heat-related mortalities, which are issues of concern for a) India's population, especially b) those from the working and older age groups. This study took the data available on the website (data.gov.in) of Government of India. Temperature data was categorized according to the season: premonsoon, post-monsoon, winter and monsoon/summer. Air quality data for the period January 2020 - May 2020 was obtained from the website (https: //app.cpcbccr.com) of Central Pollution Control Board. This data included PM10, PM2.5, NO2 and SO2 values. According to the World Air Quality Report 2019, Ghaziabad and Delhi are the most polluted cities in India. Kolkata and Hyderabad are among India's ten most populated cities. This study compares the lockdown effect on air quality in Ghaziabad, Delhi, Kolkata, Hyderabad and Cochin. Cochin was included to understand pollution trends in Kerala, which is less polluted than other states (World's most Contaminated Cities in the year 2020 - PM2.5 Position Air Graphic, n.d.). Linear, Inverse, Logarithmic, Quadratic, Power Compound, Cubic, Logistic, S, Exponential and Growth, statistical models were applied to temperature data to obtain the most appropriate model for the prediction of maximum and minimum temperature. The study also directed analysis of all-cause mortalities associated with the 2010 May heat wave in Ahmadabad (Gujarat) to govern whether thrilling heat leads to surplus death.

Full Product Details

Author:   Candi Clotilda
Publisher:   Cze Publisher
Imprint:   Cze Publisher
Dimensions:   Width: 15.20cm , Height: 0.80cm , Length: 22.90cm
Weight:   0.209kg
ISBN:  

9798869131058


Pages:   136
Publication Date:   17 January 2024
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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