Urban Multi-Scenario Land Use Optimization Simulation Considering Local Climate Zones
The urban heat island (UHI) effect, a significant environmental challenge within the global urbanization process, poses severe threats to human health, ecological security, and life safety while also impacting the achievement of the United Nations Sustainable Development Goals. This study proposes a...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/22/4342 |
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| author | Jie Chen Zikun Dong Ruijie Shi Geng Sun Ya Guo Zhuopeng Peng Min Deng Kaiqi Chen |
| author_facet | Jie Chen Zikun Dong Ruijie Shi Geng Sun Ya Guo Zhuopeng Peng Min Deng Kaiqi Chen |
| author_sort | Jie Chen |
| collection | DOAJ |
| description | The urban heat island (UHI) effect, a significant environmental challenge within the global urbanization process, poses severe threats to human health, ecological security, and life safety while also impacting the achievement of the United Nations Sustainable Development Goals. This study proposes a multi-scenario optimization method for urban thermal environments based on local climate zones (LCZs) in Changsha City. The research employs a genetic algorithm to optimize the LCZ quantity structure in order to improve the urban temperature environment. Subsequently, the optimized quantity structure is integrated with the future land use simulation (FLUS) model under multi-scenario constraints to achieve optimal spatial distribution of LCZs, providing scientific guidance for urban planning decision-makers. Results demonstrate that the LCZ-based optimization method can effectively regulate the urban thermal environment and maintain a suitable urban temperature range, offering both theoretical foundation and practical guidance for mitigating UHI effects. |
| format | Article |
| id | doaj-art-d0aa3caa235b402db776bdd32a3df517 |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-d0aa3caa235b402db776bdd32a3df5172024-11-26T18:20:29ZengMDPI AGRemote Sensing2072-42922024-11-011622434210.3390/rs16224342Urban Multi-Scenario Land Use Optimization Simulation Considering Local Climate ZonesJie Chen0Zikun Dong1Ruijie Shi2Geng Sun3Ya Guo4Zhuopeng Peng5Min Deng6Kaiqi Chen7School of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaSchool of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaSchool of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaSchool of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaSchool of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaDepartment of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180, USASchool of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaSchool of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaThe urban heat island (UHI) effect, a significant environmental challenge within the global urbanization process, poses severe threats to human health, ecological security, and life safety while also impacting the achievement of the United Nations Sustainable Development Goals. This study proposes a multi-scenario optimization method for urban thermal environments based on local climate zones (LCZs) in Changsha City. The research employs a genetic algorithm to optimize the LCZ quantity structure in order to improve the urban temperature environment. Subsequently, the optimized quantity structure is integrated with the future land use simulation (FLUS) model under multi-scenario constraints to achieve optimal spatial distribution of LCZs, providing scientific guidance for urban planning decision-makers. Results demonstrate that the LCZ-based optimization method can effectively regulate the urban thermal environment and maintain a suitable urban temperature range, offering both theoretical foundation and practical guidance for mitigating UHI effects.https://www.mdpi.com/2072-4292/16/22/4342thermal environmentlocal climate zonesmulti-scenario optimizationsustainable development |
| spellingShingle | Jie Chen Zikun Dong Ruijie Shi Geng Sun Ya Guo Zhuopeng Peng Min Deng Kaiqi Chen Urban Multi-Scenario Land Use Optimization Simulation Considering Local Climate Zones Remote Sensing thermal environment local climate zones multi-scenario optimization sustainable development |
| title | Urban Multi-Scenario Land Use Optimization Simulation Considering Local Climate Zones |
| title_full | Urban Multi-Scenario Land Use Optimization Simulation Considering Local Climate Zones |
| title_fullStr | Urban Multi-Scenario Land Use Optimization Simulation Considering Local Climate Zones |
| title_full_unstemmed | Urban Multi-Scenario Land Use Optimization Simulation Considering Local Climate Zones |
| title_short | Urban Multi-Scenario Land Use Optimization Simulation Considering Local Climate Zones |
| title_sort | urban multi scenario land use optimization simulation considering local climate zones |
| topic | thermal environment local climate zones multi-scenario optimization sustainable development |
| url | https://www.mdpi.com/2072-4292/16/22/4342 |
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