SmartAirQ: A Big Data Governance Framework for Urban Air Quality Management in Smart Cities
Rapid urbanization across the world has put an enormous burden on our environment. Cities from developing countries, in particular, are experiencing high air pollution levels. To address this challenge, the new WHO global air quality guidelines and various nations are mandating cities to implement c...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-04-01
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| Series: | Frontiers in Environmental Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2022.785129/full |
| _version_ | 1818395324119515136 |
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| author | Akshara Kaginalkar Akshara Kaginalkar Shamita Kumar Prashant Gargava Neelesh Kharkar Dev Niyogi Dev Niyogi Dev Niyogi |
| author_facet | Akshara Kaginalkar Akshara Kaginalkar Shamita Kumar Prashant Gargava Neelesh Kharkar Dev Niyogi Dev Niyogi Dev Niyogi |
| author_sort | Akshara Kaginalkar |
| collection | DOAJ |
| description | Rapid urbanization across the world has put an enormous burden on our environment. Cities from developing countries, in particular, are experiencing high air pollution levels. To address this challenge, the new WHO global air quality guidelines and various nations are mandating cities to implement clean air measures. However, these implementations are largely hindered by limited observations, siloed city operations, absence of standard processes, inadequate outreach, and absence of collaborative urban air quality management (UAQM) governance. The world is experiencing transformative changes in the way we live. The 4th industrial revolution technologies of artificial intelligence, Internet of Things, big data, and cloud computing bridge gaps between physical, natural, and personal entities. Globally, smart cities are being promulgated on the premise that technologies and data aid in improving urban services. However, in many instances, the smart city programs and UAQM services may not be aligned, thereby constraining the cumulative advantage in building urban resilience. Considering the potential of these technologies as enablers of environmental sustainability, a conceptual urban computing framework “SmartAirQ” for UAQM is designed. This interdisciplinary study outlines the SmartAirQ components: 1) data acquisition, 2) communication and aggregation, 3) data processing and management, 4) intelligence, 5) application service, 6) high-performance computing- (HPC-) cloud, and 7) security. The framework has integrated science cloud and urban services aiding in translating scientific data into operations. It is a step toward collaborative, data-driven, and sustainable smart cities. |
| first_indexed | 2024-12-14T06:15:17Z |
| format | Article |
| id | doaj.art-5c1b1c5dbd02404485b6cb804626b2d6 |
| institution | Directory Open Access Journal |
| issn | 2296-665X |
| language | English |
| last_indexed | 2024-12-14T06:15:17Z |
| publishDate | 2022-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Environmental Science |
| spelling | doaj.art-5c1b1c5dbd02404485b6cb804626b2d62022-12-21T23:14:03ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2022-04-011010.3389/fenvs.2022.785129785129SmartAirQ: A Big Data Governance Framework for Urban Air Quality Management in Smart CitiesAkshara Kaginalkar0Akshara Kaginalkar1Shamita Kumar2Prashant Gargava3Neelesh Kharkar4Dev Niyogi5Dev Niyogi6Dev Niyogi7Centre for Development of Advanced Computing, Pune, IndiaInstitute of Environment Education and Research, Bharati Vidyapeeth Deemed University, Pune, IndiaInstitute of Environment Education and Research, Bharati Vidyapeeth Deemed University, Pune, IndiaCentral Pollution Control Board, New Delhi, IndiaCentre for Development of Advanced Computing, Pune, IndiaCenter for Excellence in Disaster Mitigation and Management, Indian Institute of Technology Roorkee, Roorkee, IndiaDepartment of Geological Sciences, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX, United StatesDepartment of Civil, Architectural, and Environmental Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, United StatesRapid urbanization across the world has put an enormous burden on our environment. Cities from developing countries, in particular, are experiencing high air pollution levels. To address this challenge, the new WHO global air quality guidelines and various nations are mandating cities to implement clean air measures. However, these implementations are largely hindered by limited observations, siloed city operations, absence of standard processes, inadequate outreach, and absence of collaborative urban air quality management (UAQM) governance. The world is experiencing transformative changes in the way we live. The 4th industrial revolution technologies of artificial intelligence, Internet of Things, big data, and cloud computing bridge gaps between physical, natural, and personal entities. Globally, smart cities are being promulgated on the premise that technologies and data aid in improving urban services. However, in many instances, the smart city programs and UAQM services may not be aligned, thereby constraining the cumulative advantage in building urban resilience. Considering the potential of these technologies as enablers of environmental sustainability, a conceptual urban computing framework “SmartAirQ” for UAQM is designed. This interdisciplinary study outlines the SmartAirQ components: 1) data acquisition, 2) communication and aggregation, 3) data processing and management, 4) intelligence, 5) application service, 6) high-performance computing- (HPC-) cloud, and 7) security. The framework has integrated science cloud and urban services aiding in translating scientific data into operations. It is a step toward collaborative, data-driven, and sustainable smart cities.https://www.frontiersin.org/articles/10.3389/fenvs.2022.785129/fullurban computingfrontier technologiesdata governanceAIcloud computingmachine learning |
| spellingShingle | Akshara Kaginalkar Akshara Kaginalkar Shamita Kumar Prashant Gargava Neelesh Kharkar Dev Niyogi Dev Niyogi Dev Niyogi SmartAirQ: A Big Data Governance Framework for Urban Air Quality Management in Smart Cities Frontiers in Environmental Science urban computing frontier technologies data governance AI cloud computing machine learning |
| title | SmartAirQ: A Big Data Governance Framework for Urban Air Quality Management in Smart Cities |
| title_full | SmartAirQ: A Big Data Governance Framework for Urban Air Quality Management in Smart Cities |
| title_fullStr | SmartAirQ: A Big Data Governance Framework for Urban Air Quality Management in Smart Cities |
| title_full_unstemmed | SmartAirQ: A Big Data Governance Framework for Urban Air Quality Management in Smart Cities |
| title_short | SmartAirQ: A Big Data Governance Framework for Urban Air Quality Management in Smart Cities |
| title_sort | smartairq a big data governance framework for urban air quality management in smart cities |
| topic | urban computing frontier technologies data governance AI cloud computing machine learning |
| url | https://www.frontiersin.org/articles/10.3389/fenvs.2022.785129/full |
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