Literature DB >> 32388265

Estimating ground level PM2.5 concentrations and associated health risk in India using satellite based AOD and WRF predicted meteorological parameters.

Shovan Kumar Sahu1, Shubham Sharma2, Hongliang Zhang3, Venkatesh Chejarla4, Hao Guo5, Jianlin Hu6, Qi Ying7, Jia Xing8, Sri Harsha Kota9.   

Abstract

PM2.5 concentrations in most of the Indian cities are in alarming levels. However, the current network of 308 monitoring stations are heterogeneously placed and do not cover many parts of the country. This limits the ability of agencies to measure the concentration which people are exposed to. In this study, ground level PM2.5 concentrations and the associated risk and mortality in India using satellite based AOD data for the year 2015 was estimated to identify the state specific number of more monitoring sites required. Results indicate that average PM2.5 concentrations were 89 μg/m3, which caused 1.61 million deaths including 0.34 million Chronic Obstructive Pulmonary Disease (COPD) deaths, 0.2 million Lung Cancer (LC) deaths, 0.53 million Ischemic Heart Disease (IHD) deaths and 0.70 million deaths due to Stroke. The years of life lost (YLL) per 1000 population due to exposure to PM2.5 indicated Delhi (North-India) to be severely affected by PM2.5 resulting in 227.47 years of life lost and was closely followed by Bihar (Eastern-India) (225.18), Rajasthan (Western-India) (225.05) and Uttar Pradesh (Northern-India) (213.16). Eastern India had the highest population weighted concentration (102.09 μg/m3) and contributed to 23.46% of premature mortality and was followed by Central (75.32 μg/m3) and Northern India (75.12 μg/m3), thus indicating severity of air pollution in India and need for its constant monitoring. As per Indian regulatory agency's guidelines, India still needs 1638 more air quality monitoring stations, of which North-Indian states require maximum number of additional stations i.e. 400, followed by 382 in eastern states.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aerosol optical depth (AOD); GAM; Health risk; Monitoring stations; PM(2.5); WRF

Year:  2020        PMID: 32388265     DOI: 10.1016/j.chemosphere.2020.126969

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  4 in total

1.  Population exposure across central India to PM2.5 derived using remotely sensed products in a three-stage statistical model.

Authors:  Prem Maheshwarkar; Ramya Sunder Raman
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

2.  Long-term exposure to PM2.5 and cardiovascular disease incidence and mortality in an Eastern Mediterranean country: findings based on a 15-year cohort study.

Authors:  Soheila Jalali; Mojgan Karbakhsh; Mehdi Momeni; Marzieh Taheri; Saeid Amini; Marjan Mansourian; Nizal Sarrafzadegan
Journal:  Environ Health       Date:  2021-10-28       Impact factor: 5.984

3.  Machine learning driven by environmental covariates to estimate high-resolution PM2.5 in data-poor regions.

Authors:  XiaoYe Jin; Jianli Ding; Xiangyu Ge; Jie Liu; Boqiang Xie; Shuang Zhao; Qiaozhen Zhao
Journal:  PeerJ       Date:  2022-03-30       Impact factor: 2.984

4.  Transboundary sources dominated PM2.5 in Thimphu, Bhutan.

Authors:  S Sharma; R Sharma; S K Sahu; S H Kota
Journal:  Int J Environ Sci Technol (Tehran)       Date:  2021-06-30       Impact factor: 3.519

  4 in total

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