Effects of land-use change on carbon emission and its driving factors in Shaanxi Province from 2000 to 2020

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(26), P. 68313 - 68326

Published: April 29, 2023

Language: Английский

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Spatial Correlations of Land Use Carbon Emissions in Shandong Peninsula Urban Agglomeration: A Perspective from City Level Using Remote Sensing Data

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(6), P. 1488 - 1488

Published: March 7, 2023

The spatial and temporal characteristics of land use carbon emissions are relevant to the sustainable resources. Although studies have been conducted on emissions, correlation at city level still requires further research. Here, we estimated distribution in Shandong Peninsula urban agglomeration terms based remote sensing data fossil energy consumption during 2000–2019. results showed that change 16 cities study area was conversion cropland construction land. Carbon from had an upward trend for all overall period 2000–2019, but incremental trended downward after 2010. Among them, Jinan Qingdao higher than other cities. In addition, also found were characterized by stochasticity, while per capita displayed geospatial aggregation. Yantai a pattern high–high clustering Jining presented low–low land-average important guiding achievement emission reduction neutrality targets level.

Language: Английский

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Spatial patterns of China's carbon sinks estimated from the fusion of remote sensing and field-observed net primary productivity and heterotrophic respiration

Ecological Informatics, Journal Year: 2023, Volume and Issue: 76, P. 102152 - 102152

Published: June 7, 2023

Language: Английский

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Climate extremes and land use carbon emissions: Insight from the perspective of sustainable land use in the eastern coast of China

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 452, P. 142219 - 142219

Published: April 11, 2024

Language: Английский

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Carbon surplus or carbon deficit under land use transformation in China?

Land Use Policy, Journal Year: 2024, Volume and Issue: 143, P. 107218 - 107218

Published: May 30, 2024

Language: Английский

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A coupled STIRPAT-SD model method for land-use carbon emission prediction and scenario simulation at the county level

Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 108, P. 107595 - 107595

Published: July 15, 2024

Language: Английский

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Spatiotemporal dynamic evolution and influencing factors of land use carbon emissions: evidence from Jiangsu Province, China

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: May 16, 2024

Land use/cover change has an important impact on global climate and carbon cycle, it become another major source of emission after energy consumption. Therefore, this study focuses the main line “land use emissions-spatial temporal patterns-influencing factors,” selects 13 cities in Jiangsu Province as research object. Based data land consumption, combined with method emissions ArcGIS technology, conducted a quantitative analysis spatio-temporal distribution Province. The factors affecting spatial from were discussed by using Geographic detector. results show that: 1) Carbon showed overall growth trend, 16215.44 ×104tC 2010–23597.68 id="m2">×104tC 2020, average annual rate 4.55%, which construction watersheds had greater sources sinks, respectively. 2) During period, there significant differences levels among different Province, stable pattern “northwest—southeast.” southern part is always hot area emission, while cold spot mainly distributed northern central parts Jiangsu. 3) interaction such economic development, industrial structure, intensity, human activities reason for Among them, level urbanization, population size aggregate have effects emissions.

Language: Английский

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Decoupling relationship between urban land use morphology and carbon emissions: Evidence from the Yangtze River Delta Region, China

Ecological Informatics, Journal Year: 2024, Volume and Issue: 81, P. 102614 - 102614

Published: April 27, 2024

Language: Английский

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Coupling and Coordination Relationship Between Carbon Emissions from Land Use and High-Quality Economic Development in Inner Mongolia, China

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 354 - 354

Published: Feb. 8, 2025

Taking Inner Mongolia as a case, this study systematically analyzes the coupling and coordination relationship between carbon emissions from land use (CELU) high-quality economic development (HQED). The aim is to provide empirical support policy inspiration for archiving “dual carbon” goal HQED strategy in border areas. Panel data 12 cities 2000 2020 were selected. We established an evaluation index system CELU using entropy-weight TOPSIS method scientifically evaluated level of HQED. applied exploratory spatial analysis, topic decoupling, degree (CCD), geographic detector models comprehensively analyze status heterogeneity driving factors affecting CCD explored detail. Although total has increased, its growth rate slowed significantly. was low, obvious disequilibrium observed. Seven key factors, including land-use structure, efficiency, energy intensity, have significant effects on CCD. To supply-side structural reform, promote HQED, achieve emission reduction green goals, we offer series recommendations: transformation resource-based cities, optimize industrial structure upgrading, strengthen scientific technological innovation technology applications, improve regional cooperation coordination. This reveals internal provides practical instructive countermeasures suggestions sustainable areas, such Mongolia, which important reference value promoting economies achieving goal.

Language: Английский

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Study on Subway Station Street Block-Level Land Use Pattern and Plot Ratio Control Based on Machine Learning

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 416 - 416

Published: Feb. 17, 2025

As urbanization accelerates, megacities are facing challenges such as inefficient land use and traffic congestion, particularly in the context of rail transit-oriented development, where optimization remains a significant research gap. Current urban planning still relies heavily on experience intuition government departments, without achieving quantitative, intelligent, scientific decision making. This study takes Panda Avenue Subway Station case to analyze evolution patterns around subway stations explore strategies enhance development efficiency spatial utilizationTo fill this gap, paper proposes CNN-AIMatch model based machine learning algorithm an enhanced PLUS-Markov prediction using increase decrease floor area ratio control measure, which adopts plot measure improve accuracy Kappa coefficient different scenarios 3D growth trends. The effectively overcomes limitations conventional 2D perspective predicting expansion. By simulating renewal ecological preservation scenarios, it provides innovative solution for pattern at block level station areas. goal is optimize through application model, intelligently respond high-density quality life assurance, achieve best land, promote sustainable construction smart cities.

Language: Английский

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