The synergistic effects of the'source-sink'landscape in Xi'an on carbon emissions and inhalable particulate matter
[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.
国家科技期刊平台
NSTL
万方数据
