Unveiling the nexus and promoting integration of diverse factors: Prospects of big data-driven artificial intelligence technology in achieving carbon neutrality in Chongming District
Climate change is one of the most pressing challenges facing the world today. The large amount of greenhouse gas emissions produced by human activities, especially the emission of carbon dioxide, is an important driving factor behind climate issues. Under the background of China’s “3060” decarboniza...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2023-12-01
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| Series: | Water-Energy Nexus |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2588912523000164 |
| _version_ | 1797387822995341312 |
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| author | Wenbo Zhu Renzhou Gui Ru Guo |
| author_facet | Wenbo Zhu Renzhou Gui Ru Guo |
| author_sort | Wenbo Zhu |
| collection | DOAJ |
| description | Climate change is one of the most pressing challenges facing the world today. The large amount of greenhouse gas emissions produced by human activities, especially the emission of carbon dioxide, is an important driving factor behind climate issues. Under the background of China’s “3060” decarbonization goal”, Chongming District in Shanghai is actively promoting the construction of a world-class ecological island and is committed to creating a carbon–neutral demonstration zone with global influence. However, Chongming District faces challenges as the mechanism of carbon-neutrality transition path remains unclear. The data related to evaluating carbon neutrality status are heterogeneous from multiple sources. It is difficult to effectively implement relevant evaluation and response measures, impeding the progress of its low-carbon transformation. In response to the aforementioned challenges, this paper will propose and discuss the potential methods based on the new generation of information technology, represented by big data and artificial intelligence. These technologies aim to facilitate the integration of diverse factors, including carbon, and explore the nexus among them, thus exploring pathways for low-carbon transformation, and ultimately achieving decarbonization goal in Chongming District. Hopefully, the research conducted in this paper will contribute to the efforts of China and the global community in addressing carbon-related challenges and advancing towards a more sustainable and low-carbon future. |
| first_indexed | 2024-03-08T22:31:41Z |
| format | Article |
| id | doaj.art-c28a588364224d738046cbaa36241a84 |
| institution | Directory Open Access Journal |
| issn | 2588-9125 |
| language | English |
| last_indexed | 2024-03-08T22:31:41Z |
| publishDate | 2023-12-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Water-Energy Nexus |
| spelling | doaj.art-c28a588364224d738046cbaa36241a842023-12-18T04:24:51ZengKeAi Communications Co., Ltd.Water-Energy Nexus2588-91252023-12-016112121Unveiling the nexus and promoting integration of diverse factors: Prospects of big data-driven artificial intelligence technology in achieving carbon neutrality in Chongming DistrictWenbo Zhu0Renzhou Gui1Ru Guo2The Department of Information and Communication Engineering, Tongji University, Shanghai 201804, China; Institute of Carbon Neutrality, Tongji University, Shanghai 200092, PR ChinaThe Department of Information and Communication Engineering, Tongji University, Shanghai 201804, China; Institute of Carbon Neutrality, Tongji University, Shanghai 200092, PR China; Corresponding author at: The Department of Information and Communication Engineering, Tongji University, Shanghai 201804, China.Institute of Carbon Neutrality, Tongji University, Shanghai 200092, PR China; College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, PR China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, PR ChinaClimate change is one of the most pressing challenges facing the world today. The large amount of greenhouse gas emissions produced by human activities, especially the emission of carbon dioxide, is an important driving factor behind climate issues. Under the background of China’s “3060” decarbonization goal”, Chongming District in Shanghai is actively promoting the construction of a world-class ecological island and is committed to creating a carbon–neutral demonstration zone with global influence. However, Chongming District faces challenges as the mechanism of carbon-neutrality transition path remains unclear. The data related to evaluating carbon neutrality status are heterogeneous from multiple sources. It is difficult to effectively implement relevant evaluation and response measures, impeding the progress of its low-carbon transformation. In response to the aforementioned challenges, this paper will propose and discuss the potential methods based on the new generation of information technology, represented by big data and artificial intelligence. These technologies aim to facilitate the integration of diverse factors, including carbon, and explore the nexus among them, thus exploring pathways for low-carbon transformation, and ultimately achieving decarbonization goal in Chongming District. Hopefully, the research conducted in this paper will contribute to the efforts of China and the global community in addressing carbon-related challenges and advancing towards a more sustainable and low-carbon future.http://www.sciencedirect.com/science/article/pii/S2588912523000164New generation of information technologyBig dataArtificial intelligenceDeep learningMulti-element nexus |
| spellingShingle | Wenbo Zhu Renzhou Gui Ru Guo Unveiling the nexus and promoting integration of diverse factors: Prospects of big data-driven artificial intelligence technology in achieving carbon neutrality in Chongming District Water-Energy Nexus New generation of information technology Big data Artificial intelligence Deep learning Multi-element nexus |
| title | Unveiling the nexus and promoting integration of diverse factors: Prospects of big data-driven artificial intelligence technology in achieving carbon neutrality in Chongming District |
| title_full | Unveiling the nexus and promoting integration of diverse factors: Prospects of big data-driven artificial intelligence technology in achieving carbon neutrality in Chongming District |
| title_fullStr | Unveiling the nexus and promoting integration of diverse factors: Prospects of big data-driven artificial intelligence technology in achieving carbon neutrality in Chongming District |
| title_full_unstemmed | Unveiling the nexus and promoting integration of diverse factors: Prospects of big data-driven artificial intelligence technology in achieving carbon neutrality in Chongming District |
| title_short | Unveiling the nexus and promoting integration of diverse factors: Prospects of big data-driven artificial intelligence technology in achieving carbon neutrality in Chongming District |
| title_sort | unveiling the nexus and promoting integration of diverse factors prospects of big data driven artificial intelligence technology in achieving carbon neutrality in chongming district |
| topic | New generation of information technology Big data Artificial intelligence Deep learning Multi-element nexus |
| url | http://www.sciencedirect.com/science/article/pii/S2588912523000164 |
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