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    基于时空异质性分析的京津冀地区碳减排策略研究

    Carbon emission reduction strategies in Beijing-Tianjin-Hebei Region based on spatio-temporal heterogeneity analysis

    • 摘要:
      研究目的 在全球气候变暖背景下,本研究旨在探究京津冀城市群区域1990至2020年碳储量的时空演变规律,揭示自然环境、社会经济和景观格局等因素对碳储量影响的时空异质性机理,以期为区域碳中和目标的实现提供科学依据和数据支持。
      研究方法 本文以京津冀地区为研究对象,利用InVEST模型评估了1990至2020年间京津冀地区碳储量变化,运用空间相关性分析验证研究区碳储量的空间自相关特征,并通过时空地理加权回归模型(GTWR)分析了自然环境、社会经济和景观格局因素对碳储量的影响。
      研究结果 1990至2020年京津冀地区四期碳库总量依次为17.20×108 t、17.57×108 t、17.92×108 t和17.91×108 t,生态系统表现为碳汇,碳储量值增加约4.16%,碳储量高值区主要集中于太行山—燕山一线,而低值区则位于华北平原。碳储量在县域尺度相邻地理单元上存在显著正相关性,总体呈现高-高和低-低聚集。时空地理加权回归模型(GTWR)分析显示,各因素对碳储量的影响存在显著的时空异质性,对京津冀地区固碳能力有正向效应的因素依次为海拔(0.73)、斑块数量(0.17)、NDVI(0.18)、散布与并列指数(0.15)、平均边缘面积比(0.14)、斑块密度(0.06),负向效应因素依次为人口密度(−0.12)、气温(−0.11)、斑块丰度密度(−0.04)、GDP(−0.03),碳减排策略应从增强自然生态系统的固碳能力和减少人为活动对碳储量的负面影响两方面统筹考虑因地制宜制定差异化对策。
      结论 固碳功能的优化需要综合考虑自然因素和社会经济因素的因果关联,通过科学规划和政策引导,实现生态、经济和社会效益的协调发展。本研究为制定科学的生态保护和碳减排政策提供了科学依据,助力京津冀地区实现“双碳”目标。

       

      Abstract:
      This paper is the result of environmental geological survey engineering.
      Objective Against the background of global warming, this study aims to investigate the spatial and temporal evolution of carbon stocks in the Beijing-Tianjin-Hebei Urban Agglomeration region from 1990 to 2020, and to reveal the mechanism of spatial and temporal heterogeneity in the impacts of factors such as the natural environment, socio-economics, and landscape patterns on the carbon stocks, with a view to providing a scientific basis and data support for the realisation of the goal of carbon neutrality in the region. Research Methods In this paper, the Beijing-Tianjin-Hebei region is taken as the research object, and the change of carbon stock in the region between 1990 and 2020 is evaluated by using the InVEST model, the spatial correlation analysis is applied to verify the spatial autocorrelation characteristics of carbon stock in the study area, and the impacts of the factors of the natural environment, socio-economics, and landscape pattern on the carbon stock are analyzed by the spatial and temporal geographically weighted regression model (GTWR).
      Results The total carbon stock of the four phases in the Beijing-Tianjin-Hebei region from 1990 to 2020 is 17.20×108 t, 17.57×108 t, 17.92×108 t and 17.91×108 t in order, and the ecosystems behave as carbon sinks, with the value of carbon stock increasing by about 4.16%, and the high-value area of the carbon stock is mainly concentrated in the line of the Taihangshan-Yanshan Mountains, whereas the low-value area is located in the North China Plain. There is a significant positive correlation between carbon stocks in neighboring geographic units at the county scale, with overall high - high and low - low aggregation. The spatio-temporal geographically weighted regression model (GTWR) analysis showed that there was significant spatio-temporal heterogeneity in the effects of factors on carbon stocks, and the factors that had a positive effect on the carbon sequestration capacity of the Beijing-Tianjin-Hebei region were, in order of magnitude, elevation (0.73), NP (0.17), NDVI (0.18), IJI (0.15), PARA_MN (0.14), and PD (0.06), and negative effect factors were population density (−0.12), temperature (−0.11), PRD (−0.04), and GDP (−0.03) in order. Carbon emission reduction strategies should be based on the enhancement of the carbon sequestration capacity of the natural ecosystem and the reduction of the negative impacts of anthropogenic activities on the carbon stock in order to integrate and formulate differentiated countermeasures according to local conditions.
      Conclusion The optimization of carbon sequestration function needs to comprehensively consider the causal links between natural and socio-economic factors, and achieve the coordinated development of ecological, economic and social benefits through scientific planning and policy guidance. This study provides a scientific basis for the formulation of scientific ecological protection and carbon emission reduction policies, and helps the Beijing-Tianjin-Hebei region to realize the goal of "double carbon".

       

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