Carbon emission and economic development trade-offs for optimizing land-use allocation in the Yangtze River Delta, China

Ecological Indicators, Год журнала: 2023, Номер 147, С. 109950 - 109950

Опубликована: Янв. 30, 2023

Reconciling carbon emissions and GDP development is a challenge for most Chinese cities in the sustainable process. Taking Yangtze River Delta of China as an example, this study calculated carbon-emission inventories five typical years assigned anthropogenic to land-use types. A multi-objective particle swarm algorithm was used consider three functions allocation: maximizing GDP, minimizing emissions, suitability. Thereafter, technique order preference by similarity ideal solution (TOPSIS) method combined find optimal emission economic trade-offs. It observed that Jiangsu has largest region; energy consumption main source industrial land intensive region. The allocation obtained optimization with TOPSIS evaluation increases reduces which worthy reference planners. Land use from perspective balancing can provide useful rational resources socio-economic development.

Язык: Английский

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Carbon emission prediction model of prefecture-level administrative region: A land-use-based case study of Xi'an city, China

Applied Energy, Год журнала: 2023, Номер 348, С. 121488 - 121488

Опубликована: Июль 25, 2023

Язык: Английский

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Evolution of spatial network structure for land-use carbon emissions and carbon balance zoning in Jiangxi Province: A social network analysis perspective

Ecological Indicators, Год журнала: 2023, Номер 158, С. 111508 - 111508

Опубликована: Дек. 29, 2023

Exploring the spatial network structure of land-use carbon emissions (LUCE) and balance in developing regions is pivotal for climate change mitigation these areas. Using socio-economic data from 2000 to 2020, this study focused on Jiangxi Province as a representative case elucidate LUCE conduct zoning. The primary findings were follows: (1) distribution demonstrated pattern with high values northwest low southeast. An increasing trend was observed total amount LUCE. Furthermore, there evident regional differences Ecological Support Coefficient (ESC), indicating weakening sink capacity. (2) intricate but stable. Although gravitational interactions between cities have intensified, overall connectivity remained moderately correlated, prominent development imbalance. (3) There pronounced "core-periphery" correlation network. Northern "core" network, taking an "initiator" role, whereas most southern played "passive" resided at "periphery" inter-regional exhibited spillover, inter-block correlations surpassing those within blocks. (4) By leveraging empirical metrics, we categorized into five distinct zoning types subsequently proposed optimization strategies. From perspective social analysis (SNA), offers methodological insights low-carbon synergistic emission reduction regions.

Язык: Английский

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County-level land use carbon emissions in China: Spatiotemporal patterns and impact factors

Sustainable Cities and Society, Год журнала: 2024, Номер 105, С. 105304 - 105304

Опубликована: Фев. 25, 2024

Язык: Английский

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Spatiotemporal evolution characteristics, influencing factors of land use carbon emissions, and low-carbon development in Hubei Province, China

Ecological Informatics, Год журнала: 2024, Номер 81, С. 102567 - 102567

Опубликована: Март 20, 2024

Against the backdrop of global warming, carbon emissions have become a major concern. Carbon from land use (CELU) play significant role in shaping efforts to reduce and achieve neutrality. Using China Land Cover Dataset (CLCD) alongside socioeconomic data, we conducted comprehensive CELU calculations for Hubei Province. Our approach involves integrating Markov time transfer matrix delineate spatiotemporal evolution characteristics CELU, employing Tapio elastic adaptation model analyze decoupling economic development, leveraging geographic detectors identify primary influencing factors their interactions, both internally externally. Subsequently, formulated recommendations low-carbon development response our findings. The key results are as follows. (1) Between 1995 2019, total Province exhibited consistent increase, characterized by an initial acceleration growth followed gradual slowdown. (2) During same period, witnessed multiple types decoupling, with weak emerging prevailing trend. (3) explanatory power (q-values) internal external ranged 0.179 0.935. Moreover, interaction these exceeded 0.5, indicating overall effect. This study presents strategy that offers robust scientific basis government policymakers craft emission reduction strategies. Additionally, it serves valuable reference fostering long-term high-quality development.

Язык: Английский

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Spatiotemporal evolution and multi-scale coupling effects of land-use carbon emissions and ecological environmental quality

The Science of The Total Environment, Год журнала: 2024, Номер 922, С. 171149 - 171149

Опубликована: Фев. 24, 2024

Язык: Английский

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How does urbanization affect energy carbon emissions under the background of carbon neutrality?

Journal of Environmental Management, Год журнала: 2022, Номер 327, С. 116878 - 116878

Опубликована: Дек. 2, 2022

Язык: Английский

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Spatial-temporal characteristics of carbon emissions corrected by socio-economic driving factors under land use changes in Sichuan Province, southwestern China

Ecological Informatics, Год журнала: 2023, Номер 77, С. 102164 - 102164

Опубликована: Июнь 10, 2023

Язык: Английский

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Spatiotemporal dynamic decoupling states of eco-environmental quality and land-use carbon emissions: A case study of Qingdao City, China

Ecological Informatics, Год журнала: 2023, Номер 75, С. 101992 - 101992

Опубликована: Янв. 16, 2023

Язык: Английский

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Estimating the nonlinear response of landscape patterns to ecological resilience using a random forest algorithm: Evidence from the Yangtze River Delta

Ecological Indicators, Год журнала: 2023, Номер 153, С. 110409 - 110409

Опубликована: Июнь 2, 2023

Ecological resilience (ER) is considered a key factor in resolving complex human and natural systems conflicts managing risk during the period of rapid development. However, importance landscape patterns for ER not given enough attention previous studies. Therefore, we selected Yangtze River Delta region as study area, incorporated into assessment proposed way identifying ecological sources based on combination ecosystem services patterns. Combining multidimensional indicators system, calculated explored nonlinear effects using random forest regression model. The results showed that comparative analysis enhanced scientificity source identification. We identified 94 mainly southern region, including important mountain ranges water bodies. In addition, was significantly strengthened by considering indicated relationship between other elements terms ER. This can contribute to comprehensive integrated approach identification evaluation ER, which promote conservation regional functions.

Язык: Английский

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