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Article . 2020
License: CC BY
Data sources: Datacite
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Article . 2020
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Technology and Sustainable Solutions: An Approach for Curbing Air Pollution in India: Way Forward Lessons to Learn

Authors: Navita Mahajan; Garg, Seema;

Technology and Sustainable Solutions: An Approach for Curbing Air Pollution in India: Way Forward Lessons to Learn

Abstract

Magnitude of tainting air quality has been a count of ginormous difficulty in metropolis regions and Indo Gangetic Plains during winters in India. It has detrimental impact on surroundings and human vigour. The reduction in environmental air pollution is one of the most significant and societal concern for our country. As valuable means for pollution control, minimization and mitigation remains serious approaches, we need to look at the sustainable solutions to curb this on long term. Different measures are being taken at individual level, society level and institutional level, however an effective approach that will work for everyone has to be considered. Artificial intelligence (AI), IoT’s technologies, ICT Solutions, breeze Technology, Titanium Technology, automated cars, Smog towers are some of the effective approaches and technology solutions for tackling these complexities. In this study, the recent advancements of these technologies apart from the various initiatives by Indian start-ups have been highlighted and examined. Information relevant to the subject area is investigated. The study also covers some of the progressive answers from the world over to lessen the vehicular pollutants and to offer an unceasing community to converge to the dreams of sustainable development, and how countries with least air pollution can be a pioneer example to follow their footsteps to understand the smart technologies used by different Countries.

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Keywords

100.1/ijrte.D5000119420, Artificial Intelligence Pollution, Sustainability, Technology,, 2277-3878

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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