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西安市"源-汇"景观对碳排放量与可吸入颗粒物的协同效应OACSTPCD

The synergistic effects of the'source-sink'landscape in Xi'an on carbon emissions and inhalable particulate matter

中文摘要英文摘要

[目的]大气污染与温室效应等环境问题,已成为影响城市可持续发展的重要因素,在减污降碳的实施路径方面亟需开展相应研究.[方法]以西安市主城区为研究对象,通过构建景观指数加权变异模型,分析城市"源-汇"景观格局的结构特征;基于反距离加权插值与约束性排序分析法,探究碳排放量与可吸入颗粒物的空间分布特点,揭示"源-汇"景观对"碳污"的协同影响.[结果]结果显示,"源-汇"景观格局的特征尺度为距离研究区几何中心3 km、7 km、14 km的幅度边界处;碳排放量、PM2.5、PM10的反距离加权插值模型判定系数R2分别为0.854 1、0.823 8与0.7885;"碳污"与景观指数之间的多元多重回归模型判定系数R2为0.754 0;16个"源-汇"景观关键指数对"碳污"的累计解释率达到66.2%,与"碳污"相关性的累计贡献率达到87.9%.[结论]结果表明,研究区环路界限可反映景观空间结构的扩展过程与分布特点;冬季采暖期碳排放量与可吸入颗粒物的空间异质性显著,呈现出不同的空间分布特点;通过对街区内绿地斑块密度、最大斑块指数、绿地率、香农多样性指数以及建筑密度与建筑高度变异系数进行差异化空间配置,可对"碳污"具有显著的协同消减影响.研究结果为城市景观规划、碳排放量与空气污染治理提供了科学依据,可促进城市生态环境的可持续发展.

[Objective]Air pollution and environmental issues such as the greenhouse effect have become crucial factors affecting the sustainable development of cities.It is imperative to conduct corresponding research on the implementation path for pollution reduction and carbon reduction.[Methods]Taking the main urban area of Xi'an as the research object,the study analyzed the structural characteristics of the urban'source-sink'landscape pattern by constructing a landscape index weighted variation mod-el.Based on the inverse distance weighted interpolation and constrained ranking analysis method,the spatial distribution charac-teristics of carbon emissions and inhalable particulate matter were explored,and the synergistic impact of the'source-sink'land-scape on carbon emissions and inhalable particulate matter was revealed.[Results]The result show that the characteristic scales of the'source-sink'landscape pattern are 3 km,7 km,and 14 km from the geometric center of the study area.The determina-tion coefficients(R2)for the inverse distance weighted interpolation models of carbon emissions,PM2.5,and PM10 are 0.854 1,0.823 8,and 0.788 5,respectively.The multiple regression model between carbon emissions,inhalable particulate matter,and landscape indices has an R2 value of 0.754.The cumulative explanation rate of the 16'source-sink'landscape key indices for carbon emissions and inhalable particulate matter reaches 66.2%,while the cumulative contribution rate of their correlation with carbon emissions and inhalable particulate matter reaches 87.9%.[Conclusion]The research findings indicate that the study area loop boundaries can reflect the expansion process and distribution characteristics of the landscape spatial structure.The spa-tial heterogeneity of carbon emissions and inhalable particulate matter during the winter heating period is significant,and they show different spatial distribution characteristics.By appropriately allocating PD,LPI,PLAND,SHDI_G,as well as BCR and LHVC within the blocks,significant synergistic reduction effects on carbon emissions and inhalable particulate matter can be achieved.The research findings provide a scientific basis for urban landscape planning,carbon emissions reduction,and air pol-lution control,promoting the sustainable development of urban ecological environment.

任文静;赵敬源;马西娜;韩力

运城学院 美术与工艺设计系,山西运城 044000长安大学 建筑学院,陕西西安 710061西安科技大学 建筑与土木工程学院,陕西西安 710054

土木建筑

"源-汇"景观碳排放量可吸入颗粒物协同效应空间配置西安市人类活动影响因素

'source-sink'landscapecarbon emissioninhalable particulate mattersynergistic effectspatial configurationXi'an Cityhuman activitiesinfluence factor

《水利水电技术(中英文)》 2024 (001)

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国家自然科学基金项目(52278087);山西省基础研究计划项目(202303021222236);山西省高等学校哲学社会科学研究项目(2023W166);运城学院学科建设经费资助

10.13928/j.cnki.wrahe.2024.01.008

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