Land use carbon emissions estimation and carbon emissions control strategy effect scenario simulation in Zhejiang province

Ye, Chenyu; Ming, Tao

doi:10.1016/j.heliyon.2023.e20783

Cited by 8 publications

(2 citation statements)

References 39 publications

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“…At the provincial and city cluster levels, Chen and Gui analyzed the spatiotemporal evolution characteristics of carbon emissions in Guangdong Province and Northwest China, respectively [13,14]. Ye analyzed the evolution characteristics of land use carbon emissions (LUCEs) in Zhejiang Province from 2000 to 2020 and analyzed the impacts of various factors on LUCEs using Kaya identity and LMDI decomposition methods [15]. Cao proposed a water-energy-carbon spatial optimization strategy for land use in urban agglomerations based on cities in the middle reaches of the Yangtze River [16].…”

Section: Impact Of Land Use Changes On Spatiotemporal Patterns Of Car...mentioning

confidence: 99%

“…In the field of carbon emission scenario prediction, some scholars combine carbon emissions from land use with indicators from other fields [22], such as socio-economic [15,19], ecological [25,26], and energy [27,28] indicators. However, as a complex system, changes in urban land use are affected by a variety of factors, making it difficult to gain insight into the mechanisms and drivers of changes from a single aspect.…”

Section: Predicting Carbon Emission Scenariosmentioning

confidence: 99%

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Optimizing Land Use for Carbon Neutrality: Integrating Photovoltaic Development in Lingbao, Henan Province

Xie,

Deng,

et al. 2024

Land

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This study aims to examine the impact of land use variations on carbon emissions by incorporating the development of photovoltaics as a scenario. To meet this end, we investigate the carbon emissions fluctuations resulting from different development scenarios: natural development, low-carbon strategies, and widespread adoption of photovoltaic technology. We identify important influencing factors related to these changes and utilize multi-objective optimization and the PLUS model to simulate land use patterns in Lingbao City projected for 2035, with a focus on achieving carbon neutrality. Through multiple scenarios, we analyze differences in carbon emissions, economic benefits, ecological impacts, and land use allocations. Our findings demonstrate that the photovoltaic scenario leads to a substantial 3500-ton reduction in carbon emissions and boosts overall benefits by RMB 85 million compared to the low-carbon scenario. This highlights the significant role of photovoltaic systems inefficient land utilization, meeting carbon emission targets, and generating economic gains. This research explores the relationship between land use alterations and carbon emissions, aiming to achieve ambitious carbon reduction objectives by integrating photovoltaic applications across diverse land types. It provides fresh perspectives for examining urban land utilization and strategies to reduce carbon emissions.

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