Urban land use optimization prediction considering carbon neutral development goals: a case study of Taihu Bay Core area in China
Abstract Background Given the increasing commitment of numerous nations to achieving future carbon neutrality, urban development planning that integrating carbon storage considerations plays a crucial role in enhancing urban carbon efficiency and promoting regional sustainable development. Previous...
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BMC
2024-11-01
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| Series: | Carbon Balance and Management |
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| Online Access: | https://doi.org/10.1186/s13021-024-00285-x |
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| author | Mingfang Tang Yuejing Rong Lifu Zheng Yue Luo Kai Li Xin Fan |
| author_facet | Mingfang Tang Yuejing Rong Lifu Zheng Yue Luo Kai Li Xin Fan |
| author_sort | Mingfang Tang |
| collection | DOAJ |
| description | Abstract Background Given the increasing commitment of numerous nations to achieving future carbon neutrality, urban development planning that integrating carbon storage considerations plays a crucial role in enhancing urban carbon efficiency and promoting regional sustainable development. Previous studies have indicated that optimizing land use structure and quality is essential for regional carbon storage management. Taking the core area of Taihu Bay as study area, this study innovatively combined high-precision urban 3D data to account for the whole urban carbon pools of buildings, vegetation, soils, water. Then, multi-objective linear programming model and PLUS (Patch-generating Land Use Simulation) model were applied at patch scale to assess and compare carbon storage in various scenarios, considering both carbon storage maximization and urban development requirements. Results The results were presented as follows. (1) Urban woodland carbon pool accounts for only a fraction of total carbon pool, and the role of soil and building carbon pools cannot be ignored. (2) Compared with the current situation, the carbon-growth optimized scenario will lead to the increase of total carbon storage by 38,568.31 tons. (3) Carbon-growth optimized scenario has reduced carbon storage in Woodland, Cropland, Village, Water compared to the Natural growth scenario, but has increased carbon storage in Garden plots, Street, Urban district, Town and other areas. Conclusions Therefore, we find that for fast-growing cities, rationally planning built-up areas and woodland areas can achieve the twin goals of economic development and maximizing regional carbon storage. Furthermore, the implementation of new energy policies and projects such as green roofs can help to achieve regional carbon neutrality. The study provides new insights into the accounting of carbon pools within cities and the simulation of fine-grained land use planning based on the dual objectives of carbon stock maximization and urban development. |
| format | Article |
| id | doaj-art-8a3fab842af742c79a087a5f88e1fd5f |
| institution | Kabale University |
| issn | 1750-0680 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | BMC |
| record_format | Article |
| series | Carbon Balance and Management |
| spelling | doaj-art-8a3fab842af742c79a087a5f88e1fd5f2024-12-01T12:08:59ZengBMCCarbon Balance and Management1750-06802024-11-0119111910.1186/s13021-024-00285-xUrban land use optimization prediction considering carbon neutral development goals: a case study of Taihu Bay Core area in ChinaMingfang Tang0Yuejing Rong1Lifu Zheng2Yue Luo3Kai Li4Xin Fan5State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of SciencesState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of SciencesState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of SciencesUniversity of Chinese Academy of SciencesDepartment of Landscape Architecture, Sichuan Agricultural UniversitySchool of Geography and Environmental Engineering, Gannan Normal UniversityAbstract Background Given the increasing commitment of numerous nations to achieving future carbon neutrality, urban development planning that integrating carbon storage considerations plays a crucial role in enhancing urban carbon efficiency and promoting regional sustainable development. Previous studies have indicated that optimizing land use structure and quality is essential for regional carbon storage management. Taking the core area of Taihu Bay as study area, this study innovatively combined high-precision urban 3D data to account for the whole urban carbon pools of buildings, vegetation, soils, water. Then, multi-objective linear programming model and PLUS (Patch-generating Land Use Simulation) model were applied at patch scale to assess and compare carbon storage in various scenarios, considering both carbon storage maximization and urban development requirements. Results The results were presented as follows. (1) Urban woodland carbon pool accounts for only a fraction of total carbon pool, and the role of soil and building carbon pools cannot be ignored. (2) Compared with the current situation, the carbon-growth optimized scenario will lead to the increase of total carbon storage by 38,568.31 tons. (3) Carbon-growth optimized scenario has reduced carbon storage in Woodland, Cropland, Village, Water compared to the Natural growth scenario, but has increased carbon storage in Garden plots, Street, Urban district, Town and other areas. Conclusions Therefore, we find that for fast-growing cities, rationally planning built-up areas and woodland areas can achieve the twin goals of economic development and maximizing regional carbon storage. Furthermore, the implementation of new energy policies and projects such as green roofs can help to achieve regional carbon neutrality. The study provides new insights into the accounting of carbon pools within cities and the simulation of fine-grained land use planning based on the dual objectives of carbon stock maximization and urban development.https://doi.org/10.1186/s13021-024-00285-xCarbon neutralityUrban land use optimizationPLUS modelMulti-objective linear programmingCarbon storage assessment |
| spellingShingle | Mingfang Tang Yuejing Rong Lifu Zheng Yue Luo Kai Li Xin Fan Urban land use optimization prediction considering carbon neutral development goals: a case study of Taihu Bay Core area in China Carbon Balance and Management Carbon neutrality Urban land use optimization PLUS model Multi-objective linear programming Carbon storage assessment |
| title | Urban land use optimization prediction considering carbon neutral development goals: a case study of Taihu Bay Core area in China |
| title_full | Urban land use optimization prediction considering carbon neutral development goals: a case study of Taihu Bay Core area in China |
| title_fullStr | Urban land use optimization prediction considering carbon neutral development goals: a case study of Taihu Bay Core area in China |
| title_full_unstemmed | Urban land use optimization prediction considering carbon neutral development goals: a case study of Taihu Bay Core area in China |
| title_short | Urban land use optimization prediction considering carbon neutral development goals: a case study of Taihu Bay Core area in China |
| title_sort | urban land use optimization prediction considering carbon neutral development goals a case study of taihu bay core area in china |
| topic | Carbon neutrality Urban land use optimization PLUS model Multi-objective linear programming Carbon storage assessment |
| url | https://doi.org/10.1186/s13021-024-00285-x |
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