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Article ; Online: Environmental management: a country-level evaluation of atmospheric particulate matter removal by the forests of India.

Bagaria, Priyamvada / Mahapatra, Parth Sarathi / Bherwani, Hemant / Pandey, Rajiv

2023 Volume 195, Issue 11, Page(s) 1306

Abstract: Particulate matter (PM) is a critical air pollutant, responsible for an array of ailments leading to premature mortality worldwide. Nature-based solutions for mitigation of PM and especially role of forests in mitigating PM from an ecosystem perspective ... ...

Abstract	Particulate matter (PM) is a critical air pollutant, responsible for an array of ailments leading to premature mortality worldwide. Nature-based solutions for mitigation of PM and especially role of forests in mitigating PM from an ecosystem perspective are less explored. Forests provide a natural pollution abatement strategy by providing a surface area for the deposition of PM. Depending on their structure and composition, forests have varying capacities for PM adsorption, which is again less explored. Hence, in the present study, we evaluate the removal capacity of PM by the forest-type groups of India. Deposition flux and total PM removal across sixteen forest types were estimated based on the 2019 dataset of PM using Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) data. Externality values and PM removal costs by industrial equipment were used for associating an economic value to the air pollution abatement service by forests. The total PM
MeSH term(s)	Particulate Matter/analysis ; Ecosystem ; Retrospective Studies ; Environmental Monitoring/methods ; Air Pollutants/analysis ; Forests ; Air Pollution/analysis ; India
Chemical Substances	Particulate Matter ; Air Pollutants
Language	English
Publishing date	2023-10-13
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	782621-7
ISSN	1573-2959 ; 0167-6369
ISSN (online)	1573-2959
ISSN	0167-6369
DOI	10.1007/s10661-023-11928-w
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Article ; Online: Correction to: Impact assessment of clean cookstove intervention in Gujarat, India: a potential case for corporate social responsibility (CSR) funding.

Gupta, Ankit / Naved, Mohd Mubashshir / Kumbhare, Himanshu / Bherwani, Hemant / Das, Darpan / Labhsetwar, Nitin

Environmental science and pollution research international

2023 Volume 30, Issue 33, Page(s) 81315

Language	English
Publishing date	2023-06-15
Publishing country	Germany
Document type	Published Erratum
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-023-28338-7
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Article ; Online: Valuing burden of premature mortality attributable to air pollution in major million-plus non-attainment cities of India.

Nair, Moorthy / Bherwani, Hemant / Mirza, Shahid / Anjum, Saima / Kumar, Rakesh

Scientific reports

2021 Volume 11, Issue 1, Page(s) 22771

Abstract: Accelerating growth due to industrialization and urbanization has improved the Indian economy but simultaneously has deteriorated human health, environment, and ecosystem. In the present study, the associated health risk mortality (age > 25) and welfare ... ...

Abstract	Accelerating growth due to industrialization and urbanization has improved the Indian economy but simultaneously has deteriorated human health, environment, and ecosystem. In the present study, the associated health risk mortality (age > 25) and welfare loss for the year 2017 due to excess PM
MeSH term(s)	Adult ; Air Pollutants/adverse effects ; Air Pollution/adverse effects ; Cause of Death ; Cost of Illness ; Environmental Exposure/adverse effects ; Environmental Monitoring ; Female ; Humans ; India/epidemiology ; Industrial Development ; Male ; Mortality, Premature ; Noncommunicable Diseases/economics ; Noncommunicable Diseases/mortality ; Particulate Matter/adverse effects ; Risk Assessment ; Risk Factors ; Time Factors ; Urban Health ; Urbanization
Chemical Substances	Air Pollutants ; Particulate Matter
Language	English
Publishing date	2021-12-02
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-021-02232-z
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Article ; Online: Application of circular economy framework for reducing the impacts of climate change

Hemant Bherwani / Moorthy Nair / Amol Niwalkar / Dhanya Balachandran / Rakesh Kumar

Energy Nexus, Vol 5, Iss , Pp 100047- (2022)

A case study from India on the evaluation of carbon and materials footprint nexus

2022

Abstract: In light of the Paris Agreement 2015 and the emerging government-wide policies towards instigating a transition from linear to Circular Economy (CE), it has become critical to investigate the potential impact of CE strategies on climate change. The ... ...

Abstract	In light of the Paris Agreement 2015 and the emerging government-wide policies towards instigating a transition from linear to Circular Economy (CE), it has become critical to investigate the potential impact of CE strategies on climate change. The recent upsurge in economic activities and growing consumerism has driven the demand for raw materials contributing to a considerable level of Greenhouse Gases (GHGs) emissions in the atmosphere, conducive to severe climate breakdowns, jeopardizing the environment and biodiversity. The current study aims at establishing a detailed understanding on CE strategies vis-à-vis Sustainable Development Goals (SDG) and resource-energy conflict impacting climate change to underpin the priority sectors such as agriculture and allied activities, industry, construction, electricity, and transportation; exercising the CE Regenerate Share Optimize Loop Virtualize Exchange (ReSOLVE) framework for the National Capital Region (NCR) of India. The CE strategies quantified through input-output analysis and Leontief inverse matrix, identify the construction and transportation sector as the highest contributor towards Carbon Footprint (CF) and Material Footprint (MF) ranging from 4.0–8.8 t/capita and 5.6–7.3 t/capita respectively. Integrating the ReSOLVE strategies of CE and the priority sectors linked to the nation's economy through stratified components of design, consumption and recycling can reduce CF and MF by 0.18–15.7% and 5.3–25% respectively. In low and middle-income countries, the study is envisaged to leverage decision-makers in adopting sustainable management practices as an integral part of policy interventions, facilitating solutions to both natural capital depletion and environmental degradation challenges to produce better Gross Domestic Product (GDP) outcomes.
Keywords	Circular economy ; Climate change ; Carbon footprint ; Material footprint ; ReSOLVE ; Renewable energy sources ; TJ807-830 ; Agriculture (General) ; S1-972
Subject code	690
Language	English
Publishing date	2022-03-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
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Article ; Online: Understanding air and water borne transmission and survival of coronavirus: Insights and way forward for SARS-CoV-2.

Wathore, Roshan / Gupta, Ankit / Bherwani, Hemant / Labhasetwar, Nitin

The Science of the total environment

2020 Volume 749, Page(s) 141486

Abstract: The ongoing pandemic of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in unprecedented disease burden, healthcare costs, and economic impacts worldwide. Despite several ... ...

Abstract	The ongoing pandemic of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in unprecedented disease burden, healthcare costs, and economic impacts worldwide. Despite several measures, SARS-CoV-2 has been extremely impactful due to its extraordinary infection potential mainly through coronavirus-borne saliva respiratory and droplet nuclei of an infected person and its considerable stability on surfaces. Although the disease has affected over 180 countries, its extent and control are significantly different across the globe, making it a strong case for exploration of its behavior and dependence across various environmental pathways and its interactions with the virus. This has spurred efforts to characterize the coronavirus and understand the factors impacting its transmission and survival such as aerosols, air quality, meteorology, chemical compositions and characteristics of particles and surfaces, which are directly or indirectly associated with coronaviruses infection spread. Nonetheless, many peer-reviewed articles have studied these aspects but mostly in isolation; a complete array of coronavirus survival and transmission from an infected individual through air- and water-borne channels and its subsequent intractions with environmental factors, surfaces, particulates and chemicals is not comprehensively explored. Particulate matter (PM) is omnipresent with variable concentrations, structures and composition, while most of the surfaces are also covered by PM of different characteristics. Learning from the earlier coronavirus studies, including SARS and MERS, an attempt has been made to understand the survival of SARS-CoV-2 outside of the host body and discuss the probable air and water-borne transmission routes and its interactions with the outside environment. The present work 1) Helps appreciate the role of PM, its chemical constituents and surface characteristics and 2) Further identifies gaps in this field and suggests possible domains to work upon for better understanding of transmission and survival of this novel coronavirus.
MeSH term(s)	COVID-19 ; Coronavirus ; Coronavirus Infections/epidemiology ; Humans ; SARS-CoV-2 ; Water
Chemical Substances	Water (059QF0KO0R)
Keywords	covid19
Language	English
Publishing date	2020-08-04
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2020.141486
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Article: Improving performance of deep learning predictive models for COVID-19 by incorporating environmental parameters.

Wathore, Roshan / Rawlekar, Samyak / Anjum, Saima / Gupta, Ankit / Bherwani, Hemant / Labhasetwar, Nitin / Kumar, Rakesh

Gondwana research : international geoscience journal

2022 Volume 114, Page(s) 69–77

Abstract: The Coronavirus disease 2019 (COVID-19) pandemic has severely crippled the economy on a global scale. Effective and accurate forecasting models are essential for proper management and preparedness of the healthcare system and resources, eventually aiding ...

Abstract	The Coronavirus disease 2019 (COVID-19) pandemic has severely crippled the economy on a global scale. Effective and accurate forecasting models are essential for proper management and preparedness of the healthcare system and resources, eventually aiding in preventing the rapid spread of the disease. With the intention to provide better forecasting tools for the management of the pandemic, the current research work analyzes the effect of the inclusion of environmental parameters in the forecasting of daily COVID-19 cases. Three univariate variants of the long short-term memory (LSTM) model (basic/vanilla, stacked, and bi-directional) were employed for the prediction of daily cases in 9 cities across 3 countries with varying climatic zones (tropical, sub-tropical, and frigid), namely India (New Delhi and Nagpur), USA (Yuma and Los Angeles) and Sweden (Stockholm, Skane, Uppsala and Vastra Gotaland). The results were compared to a basic multivariate LSTM model with environmental parameters (temperature (T) and relative humidity (RH)) as additional inputs. Periods with no or minimal lockdown were chosen specifically in these cities to observe the uninhibited spread of COVID-19 and explore its dependence on daily environmental parameters. The multivariate LSTM model showed the best overall performance; the mean absolute percentage error (MAPE) showed an average of 64% improvement from other univariate models upon the inclusion of the above environmental parameters. Correlation with temperature was generally positive for the cold regions and negative for the warm regions. RH showed mixed correlations, most likely driven by its temperature dependence and effect of allied local factors. The results suggest that the inclusion of environmental parameters could significantly improve the performance of LSTMs for predicting daily cases of COVID-19, although other positive and negative confounding factors can affect the forecasting power.
Language	English
Publishing date	2022-04-08
Publishing country	Japan
Document type	Journal Article
ISSN	1342-937X
ISSN	1342-937X
DOI	10.1016/j.gr.2022.03.014
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Article: Pollution free UV-C radiation to mitigate COVID-19 transmission.

Kumar, Ashutosh / Raj, Abhishek / Gupta, Ankit / Gautam, Sneha / Kumar, Manish / Bherwani, Hemant / Anshul, Avneesh

Gondwana research : international geoscience journal

2022 Volume 114, Page(s) 78–86

Abstract: The high rate of transmission of the COVID-19 virus has brought various types of disinfection techniques, for instance, hydrogen peroxide vaporization, microwave generating steam, UV radiation, and dry heating, etc. to prevent the further transmission of ...

Abstract	The high rate of transmission of the COVID-19 virus has brought various types of disinfection techniques, for instance, hydrogen peroxide vaporization, microwave generating steam, UV radiation, and dry heating, etc. to prevent the further transmission of the virus. The chemical-based techniques are predominantly used for sanitization of hands, buildings, hospitals, etc. However, these chemicals may affect the health of humans and the environment in unexplored aspects. Furthermore, the UV lamp-based radiation sanitization technique had been applied but has not gained larger acceptability owing to its limitation to penetrate different materials. Therefore, the optical properties of materials are especially important for the utilization of UV light on such disinfection applications. The germicidal or microorganism inactivation application of UV-C has only been in-use in a closed chamber, due to its harmful effect on human skin and the eye. However, it is essential to optimize UV for its use in an open environment for a larger benefit to mitigate the virus spread. In view of this, far UV-C (222 nm) based technology has emerged as a potential option for the sanitization in open areas and degradation of microorganisms present in aerosol during the working conditions. Hence, in the present review article, efforts have been made to evaluate the technical aspects of UV (under the different spectrum and wavelength ranges) and the control of COVID 19 virus spread in the atmosphere including the possibilities of the human body sanitization in working condition.
Language	English
Publishing date	2022-08-02
Publishing country	Japan
Document type	Journal Article
ISSN	1342-937X
ISSN	1342-937X
DOI	10.1016/j.gr.2022.07.010
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Article ; Online: Valuing burden of premature mortality attributable to air pollution in major million-plus non-attainment cities of India

Moorthy Nair / Hemant Bherwani / Shahid Mirza / Saima Anjum / Rakesh Kumar

Scientific Reports, Vol 11, Iss 1, Pp 1-

2021 Volume 15

Abstract: Abstract Accelerating growth due to industrialization and urbanization has improved the Indian economy but simultaneously has deteriorated human health, environment, and ecosystem. In the present study, the associated health risk mortality (age > 25) and ...

Abstract	Abstract Accelerating growth due to industrialization and urbanization has improved the Indian economy but simultaneously has deteriorated human health, environment, and ecosystem. In the present study, the associated health risk mortality (age > 25) and welfare loss for the year 2017 due to excess PM2.5 concentration in ambient air for 31 major million-plus non-attainment cities (NACs) in India is assessed. The cities for the assessment are prioritised based on population and are classified as ‘X’ (> 5 million population) and ‘Y’ (1–5 million population) class cities. Ground-level PM2.5 concentration retrieved from air quality monitoring stations for the NACs ranged from 33 to 194 µg/m3. Total PM2.5 attributable premature mortality cases estimated using global exposure mortality model was 80,447 [95% CI 70,094–89,581]. Ischemic health disease was the leading cause of death accounting for 47% of total mortality, followed by chronic obstructive pulmonary disease (COPD-17%), stroke (14.7%), lower respiratory infection (LRI-9.9%) and lung cancer (LC-1.9%). 9.3% of total mortality is due to other non-communicable diseases (NCD-others). 7.3–18.4% of total premature mortality for the NACs is attributed to excess PM2.5 exposure. The total economic loss of 90,185.6 [95% CI 88,016.4–92,411] million US$ (as of 2017) was assessed due to PM2.5 mortality using the value of statistical life approach. The highest mortality (economic burden) share of 61.3% (72.7%) and 30.1% (42.7%) was reported for ‘X’ class cities and North India zone respectively. Compared to the base year 2017, an improvement of 1.01% and 0.7% is observed in premature mortality and economic loss respectively for the year 2024 as a result of policy intervention through National Clean Air Action Programme. The improvement among 31 NACs was found inconsistent, which may be due to a uniform targeted policy, which neglects other socio-economic factors such as population, the standard of living, etc. The study highlights the need for these parameters to be ...
Keywords	Medicine ; R ; Science ; Q
Subject code	333
Language	English
Publishing date	2021-12-01T00:00:00Z
Publisher	Nature Portfolio
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Studying impact of infrastructure development on urban microclimate

Shahid Mirza / Amol Niwalkar / Saima Anjum / Hemant Bherwani / Anju Singh / Rakesh Kumar

Energy Nexus, Vol 6, Iss , Pp 100060- (2022)

Integrated multiparameter analysis using OpenFOAM

2022

Abstract: In the need of more facilities and comfort, people are compelled to migrate from rural areas to developed cities. The growing population in urban areas, demand dense and facilitated building structure along with peripheral infrastructure. The current ... ...

Abstract	In the need of more facilities and comfort, people are compelled to migrate from rural areas to developed cities. The growing population in urban areas, demand dense and facilitated building structure along with peripheral infrastructure. The current study uses OpenFOAM to analyse the impact of infrastructure development on wind profile and temperature of the surrounding area along with the cooling effect of vegetation cover. Air temperature and wind velocity are calculated at different points in the study region and are compared for various scenarios. The maximum change in the air temperature and wind velocity is found as 0.7 K and 0.4 m/s respectively due to an increase in building temperature during the day, while the minimum change is about 0.05 K and 0.1 m/s in densely vegetated areas. An assumption also has been taken to predict the vegetation cooling effects in surrounding buildings and is analysed with the temperature difference of 0.1 K to 0.5 K. The integrated analysis of wind and temperature around the infrastructure shows the magnitude of the impact constructed sites generates on urban microclimate and the results can be used for designing of a regulated area in terms of microclimate.
Keywords	Urbanization ; Microclimate ; CFD ; OpenFOAM ; Wind flow ; Heat transfer ; Renewable energy sources ; TJ807-830 ; Agriculture (General) ; S1-972
Subject code	690 ; 910
Language	English
Publishing date	2022-06-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Understanding COVID-19 transmission, health impacts and mitigation: timely social distancing is the key.

Kaur, Satinder / Bherwani, Hemant / Gulia, Sunil / Vijay, Ritesh / Kumar, Rakesh

Environment, development and sustainability

2020 Volume 23, Issue 5, Page(s) 6681–6697

Abstract: COVID-19 is a highly infectious disease caused by SARS-CoV-2, first identified in China and spread globally, resulting into pandemic. Transmission of virus takes place either directly through close contact with infected individual (symptomatic/ ... ...

Abstract	COVID-19 is a highly infectious disease caused by SARS-CoV-2, first identified in China and spread globally, resulting into pandemic. Transmission of virus takes place either directly through close contact with infected individual (symptomatic/asymptomatic) or indirectly by touching contaminated surfaces. Virus survives on the surfaces from few hours to days. It enters the human body through nose, eyes or mouth. Other sources of contamination are faeces, blood, food, water, semen etc. Parameters such as temperature/relative humidity also play an important role in transmission. As the disease is evolving, so are the number of cases. Proper planning and restriction are helping in influencing the trajectory of the transmission. Various measures are undertaken to prevent infection such as maintaining hygiene, using facemasks, isolation/quarantine, social/physical distancing, in extreme cases lockdown (restricted movement except essential services) in hot spot areas or throughout the country. Countries that introduced various mitigation measures had experienced control in transmission of COVID-19. Python programming is conducted for change point analysis (CPA) using Bayesian probability approach for understanding the impact of restrictions and mitigation methods in terms of either increase or stagnation in number of COVID-19 cases for eight countries. From analysis it is concluded that countries which acted late in bringing in the social distancing measures are suffering in terms of high number of cases with USA, leading among eight countries analysed. The CPA week in comparison with date of lockdown and first reported case strongly correlates (Pearson's
Keywords	covid19
Language	English
Publishing date	2020-07-18
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	2015291-7
ISSN	1573-2975 ; 1387-585X
ISSN (online)	1573-2975
ISSN	1387-585X
DOI	10.1007/s10668-020-00884-x
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