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Optimization of Spatial Land Use Patterns with Low Carbon Target: A Case Study of Sanmenxia, China

Land use change is an important factor in atmospheric carbon emissions. Most of the existing studies focus on modeling the land use pattern for a certain period of time in the future and calculating and analyzing carbon emissions. However, few studies have optimized the spatial pattern of land use f...

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Autores principales: Li, Li, Chen, Zhichao, Wang, Shidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655636/
https://www.ncbi.nlm.nih.gov/pubmed/36361058
http://dx.doi.org/10.3390/ijerph192114178
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author Li, Li
Chen, Zhichao
Wang, Shidong
author_facet Li, Li
Chen, Zhichao
Wang, Shidong
author_sort Li, Li
collection PubMed
description Land use change is an important factor in atmospheric carbon emissions. Most of the existing studies focus on modeling the land use pattern for a certain period of time in the future and calculating and analyzing carbon emissions. However, few studies have optimized the spatial pattern of land use from the perspective of the impact of carbon emission constraints on land use structure. Therefore, in this study, the effects of land use change on carbon emissions from 1990 to 2020 were modeled using a carbon flow model for Sanmenxia, Henan, China, as an example. Then, the land use carbon emission function under the low carbon target was constructed, and the differential evolution (DE) algorithm was used to obtain the optimized land use quantity structure. Finally, the PLUS model was used to predict the optimal spatial configuration of land use patterns to minimize carbon emissions. The study produced three major results. (1) From 1990 to 2020, the structural change of land use in Sanmenxia mainly occurred between cultivated land, forest land, grassland and construction land. During this period of land use change, the carbon emissions from construction land first increased and then decreased, but despite the decrease, carbon emissions still exceeded carbon sinks, and the carbon metabolism of land use was still far from equilibrium. (2) Between 2010 and 2020, the area of cultivated land began to decrease, and the area of forest land rapidly increased, and land-use-related carbon emissions showed negative growth. This showed that the structural adjustment of energy consumption in Sanmenxia during the period decreased carbon emissions in comparison with the previous period. (3) A comparison of predicted optimized land use patterns with land use patterns in an as-is development scenario showed a decrease in construction land area of 23.05 km(2) in 2030 with a steady increase in forest land area and a decrease in total carbon emission of 20.43 t. The newly converted construction land in the optimized land use pattern was concentrated in the ribbon-clustered towns built during urban expansion along the Shaanling basin of the Yellow River and the Mianchi–Yima industrial development area.
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spelling pubmed-96556362022-11-15 Optimization of Spatial Land Use Patterns with Low Carbon Target: A Case Study of Sanmenxia, China Li, Li Chen, Zhichao Wang, Shidong Int J Environ Res Public Health Article Land use change is an important factor in atmospheric carbon emissions. Most of the existing studies focus on modeling the land use pattern for a certain period of time in the future and calculating and analyzing carbon emissions. However, few studies have optimized the spatial pattern of land use from the perspective of the impact of carbon emission constraints on land use structure. Therefore, in this study, the effects of land use change on carbon emissions from 1990 to 2020 were modeled using a carbon flow model for Sanmenxia, Henan, China, as an example. Then, the land use carbon emission function under the low carbon target was constructed, and the differential evolution (DE) algorithm was used to obtain the optimized land use quantity structure. Finally, the PLUS model was used to predict the optimal spatial configuration of land use patterns to minimize carbon emissions. The study produced three major results. (1) From 1990 to 2020, the structural change of land use in Sanmenxia mainly occurred between cultivated land, forest land, grassland and construction land. During this period of land use change, the carbon emissions from construction land first increased and then decreased, but despite the decrease, carbon emissions still exceeded carbon sinks, and the carbon metabolism of land use was still far from equilibrium. (2) Between 2010 and 2020, the area of cultivated land began to decrease, and the area of forest land rapidly increased, and land-use-related carbon emissions showed negative growth. This showed that the structural adjustment of energy consumption in Sanmenxia during the period decreased carbon emissions in comparison with the previous period. (3) A comparison of predicted optimized land use patterns with land use patterns in an as-is development scenario showed a decrease in construction land area of 23.05 km(2) in 2030 with a steady increase in forest land area and a decrease in total carbon emission of 20.43 t. The newly converted construction land in the optimized land use pattern was concentrated in the ribbon-clustered towns built during urban expansion along the Shaanling basin of the Yellow River and the Mianchi–Yima industrial development area. MDPI 2022-10-30 /pmc/articles/PMC9655636/ /pubmed/36361058 http://dx.doi.org/10.3390/ijerph192114178 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Li
Chen, Zhichao
Wang, Shidong
Optimization of Spatial Land Use Patterns with Low Carbon Target: A Case Study of Sanmenxia, China
title Optimization of Spatial Land Use Patterns with Low Carbon Target: A Case Study of Sanmenxia, China
title_full Optimization of Spatial Land Use Patterns with Low Carbon Target: A Case Study of Sanmenxia, China
title_fullStr Optimization of Spatial Land Use Patterns with Low Carbon Target: A Case Study of Sanmenxia, China
title_full_unstemmed Optimization of Spatial Land Use Patterns with Low Carbon Target: A Case Study of Sanmenxia, China
title_short Optimization of Spatial Land Use Patterns with Low Carbon Target: A Case Study of Sanmenxia, China
title_sort optimization of spatial land use patterns with low carbon target: a case study of sanmenxia, china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655636/
https://www.ncbi.nlm.nih.gov/pubmed/36361058
http://dx.doi.org/10.3390/ijerph192114178
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