Heterogeneity study on mechanisms influencing carbon emission intensity at the county level in the Yangtze River Delta urban Agglomeration: A perspective on main functional areas

Ecological Indicators, Journal Year: 2024, Volume and Issue: 159, P. 111597 - 111597

Published: Jan. 25, 2024

Identifying the regional heterogeneity characterizing mechanisms influencing carbon emissions is crucial to scientific formulation of emission reduction targets and strategies. The studies that have been conducted limitations in terms classification criteria study scales, their findings are limited reflect actual situation. In this study, perspective main functional area chosen as entry point carry out classification. First, 305 county-level administrative districts Yangtze River Delta urban agglomeration (YRDUA) categorized into four different types areas according official standards. Then, differences intensity (CEI) within outside each analyzed. STIRPAT model (Stochastic Impacts by Regression on Population, Affluence Technology) used analyze impact various factors areas. results show there significant CEI areas, indicating feasibility necessity studying from area. key development (KDA) optimized (ODA) dominate evolution CEI, especially KDA should be core for reduction. There population density, industrial structure government intervention. Our provides a basis subregional regulation

Language: Английский

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Spatiotemporal differentiation of the ecosystem service value and its coupling relationship with urbanization: A case study of the Lanzhou-Xining urban agglomeration

Ecological Indicators, Journal Year: 2024, Volume and Issue: 160, P. 111932 - 111932

Published: March 1, 2024

Urbanization is a key factor that threatens the stability of ecosystem services (ESs), which are crucial for maintaining ecological security and enhancing human quality life. Gaining insight into spatiotemporal differentiation service value (ESV) its coupling relationship with urbanization issue in promoting sustainable regional development. We employed various algorithms, including improved equivalence method, random forest model, mixed geographically temporally weighted regression coordination degree (CCD) to reveal evolution ESV driving mechanisms Lanzhou-Xining urban agglomeration (LXUA) from 1980 2020. In addition, we explored between combined index (CUI). The results showed following: (1) From 2020, interannual variation first decreased then increased, an increase 230 million yuan/annum 2020 compared 1980. Spatially, exhibits distribution pattern high south low north, west east. (2) Land use intensity (LUI) elevation contributed values exceeding 20% were most important drivers ESV. (3) average CCD CUI transitioned being severely unbalanced (0.19) slightly balanced (0.42). There was negative spatial correlation CUI, each cluster type distributed discretely space. Our study emphasizes areas characterized by robust integrity ESV, LUI constitutes main reason decline findings this can provide scientific basis coordinated development ESVs LXUA other cities.

Language: Английский

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County-level carbon compensation zoning based on China's major function-oriented zones

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 367, P. 121988 - 121988

Published: July 27, 2024

Language: Английский

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Explanation of land-use system evolution: Modes, trends, and mechanisms

Land Use Policy, Journal Year: 2025, Volume and Issue: 150, P. 107470 - 107470

Published: Jan. 13, 2025

Language: Английский

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Multiscale territorial spatial conflict evolution and driving mechanism in China's land border

Habitat International, Journal Year: 2025, Volume and Issue: 156, P. 103302 - 103302

Published: Jan. 27, 2025

Language: Английский

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Hydrogen Fuel Cell Technology Development in China: Technology Evolution, City-Cluster Network and Industry Chain Distribution

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135606 - 135606

Published: March 1, 2025

Language: Английский

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Cropland Zoning Based on District and County Scales in the Black Soil Region of Northeastern China

Sustainability, Journal Year: 2024, Volume and Issue: 16(8), P. 3341 - 3341

Published: April 16, 2024

The black soil region of northeastern China, one the world’s major belts, is China’s main grain-producing area, producing a quarter commercial grain. However, over-exploitation and unsustainable management practices have led to steady decline in quality arable land. Scientific reasonable zoning land key ensuring that achieves sustainable development. In this study, 317 districts counties under jurisdiction Heilongjiang, Jilin, Liaoning Provinces northeast four eastern leagues Inner Mongolia Autonomous Region were taken as study was explored through group analysis. Ten types indicators selected according levels climate, soil, vegetation, topography region, including average precipitation temperature for many years at climate level, organic matter content texture (including clay, silt, sand) NDVI EVI vegetation DEM slope topographic level. accordance with principle distinguishing differences summarizing commonalities, nine scenarios dividing zones into 2 regions 10 explored, these evaluated terms zoning. results showed (1) spatial variability cropland zone based on indicators, namely topography, significant; (2) intra-zonal optimal when six zones, which enhanced between consistency within zones; (3) assessment large-scale using pseudo F-statistic area-weighted standard deviation methods revealed similarities their outcomes. provide scientific basis subregional protection help formulate effective policies different regions.

Language: Английский

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Residential differentiation characteristics based on “socio-spatial” coupling: A case study of Zhengzhou

Applied Geography, Journal Year: 2024, Volume and Issue: 166, P. 103269 - 103269

Published: April 13, 2024

Language: Английский

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A Comparative Study of Several Popular Models for Near-Land Surface Air Temperature Estimation

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(4), P. 1136 - 1136

Published: Feb. 19, 2023

Near-land surface air temperature (NLSAT) is an important meteorological and climatic parameter widely used in climate change, urban heat island environmental science, addition to being input for various earth system simulation models. However, the spatial distribution limited number of ground-based stations make it difficult obtain a large range high-precision NLSAT values. This paper constructs neural network, long short-term memory, bi-directional support vector machine, random forest, Gaussian process regression models by combining MODIS data, DEM station data estimate China’s mainland compare them with actual observations. The results show that there significant correlation between model estimates Among tested models, forest performed best, followed machine regression, then memory Overall, different seasons, best were obtained winter, spring, autumn, summer successively. According geographic areas, was Northeast, Northwest, North, Southwest, Central China, South East China.

Language: Английский

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Territorial spatial zoning based on suitability evaluation and its impact on ecosystem services in Ezhou city

Journal of Geographical Sciences, Journal Year: 2023, Volume and Issue: 33(11), P. 2278 - 2294

Published: Nov. 1, 2023

Language: Английский

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