Experiencing urban forests for mitigation of negative emotions of people exposed to seasonal PM2.5 in Northeast China

Analysis of aerosol chemical components and source apportionment during a long-lasting haze event in the Yangtze River Delta, China

Based on the chemical composition data of a regional long-lasting haze event that occurred in the Yangtze River Delta (YRD) region from 17 December 2023 to 8 January 2024, the evolutionary characteristics of the chemical components and sources of fine particulate matter (PM2.5) under different pollution levels were comparatively analyzed using PMF (Positive Matrix Factorization) and backward trajectory analysis. SNA (NO3-, NH4+, SO42-) was found to be the primary chemical component of PM2.5, making up 63.6 % (clean days) to 69.7 % (heavy pollution) of it. The NO3- concentration was 3.14 (clean days) to 6.01 (heavy pollution) times higher than that of SO42-. NO3-, POC, Fe, Mn, Al concentrations increased, while SOC, EC, crustal elements (Ca, Si) and other water-soluble ions (WSIs) concentrations decreased as the pollution level increased. The contribution of secondary inorganics and biomass-burning emissions and industrial and ship emissions increased significantly as the pollution level increased, which accounted for 40.3 % and 36.7 %, respectively, in the heavy pollution stage. The contribution of traffic sources decreases gradually with increasing pollution levels, accounting for only 59.1 % of the light pollution stage in the heavy pollution stage. PM2.5 and its main chemical components showed similar potential source distribution, located in the northwest (Fuyang, Huainan, Nanjing), south (Taizhou, Lishui, Jiande) and north (Taizhou, Yancheng). However, distinct transport routes were observed under the different air quality levels. During the heavy pollution period, the polluted air masses primarily came from the harbor regions, whereas during the light pollution period they were transported from the southeast (Taizhou) and the North China Plain.

Using social media data to explore the impact of green spaces on physical activity and sentiment in China:A systematic literature review

Social media data offers invaluable insights into the crucial role that green spaces play in promoting physical activity and sentiment. This study systematically reviewed the scientific evidence exploring the influence of green spaces on physical activity and sentimental states based on social media data. Overall, 8842 studies were identified through searching PubMed, Web of Science, Scopus, and CNKI databases up to December 30, 2023. Forty studies met the inclusion criteria for this systematic review. The analysis of the included literature revealed that the physical attributes of green spaces-such as accessibility, area of green spaces, natural landscape features and quality, types of greenery, visibility of green spaces, and the Normalized Difference Vegetation Index are correlated with the expression of positive sentiments among residents or significantly enhance residents' physical activity. The research unveiled the profound impact of multidimensional factors on the green space experience, including gender, age, geographic location, individual needs and preferences, seasonal variations, and socioeconomic backgrounds. Additionally, thermal adaptation and the frequency of park visits serve as mediating factors in the relationship between green spaces and sentiment or physical activity. Although this study provides important insights into the associations of green spaces on physical activity and sentiment, it faces limitations such as reliance on a single data source and the lack of geographic universality. In conclusion, green spaces significantly enhance physical activity and improve sentimental states across populations. Analysis of social media data facilitates a nuanced understanding of public behaviors and attitudes toward green spaces. Using advanced data analysis techniques is essential for a deeper comprehension of the dynamic interplay and underlying mechanisms that shape the impact of green spaces on physical activity and sentiment. Future research should prioritize the integration data from various platforms and the implementation of longitudinal studies.