Abstract
Based on the World City Database Access Portal tool (WUDAPT), the local Climate zoning (LCZ) classification of Shenyang(China) was carried out. With 8 environmental monitoring stations at the observation of the study area, LCZ landscape categories in the buffer zone of 500 m, 1000 m, and 3000 m were analyzed using ArcMap and Fragstats. The sensitivity analysis of the landscape category index correlated with PM2.5 was conducted to select the representativeness index. Matlab was used to construct the regression equation between the LCZ categories and PM2.5. The results show that AI_500, LSI_500, PD_500, LSI_1000, AI_1000, LSI_3000, and AI_3000 can be used as representative landscape indices to represent the aggregation and diversity of LCZ categories. The regression equations for PM2.5 in all four seasons include factors influencing the LCZ category landscape. This study analyzed the relationship between PM2.5 distribution and urban patterns from the perspective of the LCZ types. It provided the scientific reference for rational planning of urban layout and coordination of environment and urban development.
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