Author:
Abriha-Molnár Vanda Éva,Szabó Szilárd,Magura Tibor,Tóthmérész Béla,Abriha Dávid,Sipos Bianka,Simon Edina
Abstract
AbstractThe amount of dust deposited on tree leaves is a cost-effective indicator of air quality. Our aim was to explore the leaf surface deposition, and chlorophyll content of leaves along a road section that started at an intersection, and ended in a less disturbed suburban area in Debrecen, Hungary. We also assessed the impact of meteorological conditions on the amount of deposited dust. Leaf samples were collected in July, and September 2022 from Celtis occidentalis, a frequent species in green urban areas of Debrecen. We found a significant negative correlation between dust deposition, and the distance from the intersection in July. In September, dust deposition decreased considerably compared to July, due to rainfall before the second sampling. Surprisingly, we found a positive correlation between dust deposition and chlorophyll content in July. Our findings suggest that dust deposition on leaves serves as a reliable indicator of traffic intensity, because the excess dust caused by the proximity of vehicle traffic can be detected on the leaf surface. Although, rainfall can disrupt the patterns in dust deposition that have developed over an extended period through wash-off and resuspension. Hence, it is advisable to consider these effects while selecting the sampling time and evaluating the results.
Funder
Nemzeti Kutatási, Fejlesztési és Innovaciós Alap
University of Debrecen
Publisher
Springer Science and Business Media LLC
Reference46 articles.
1. Klejnowski, K., Krasa, A., Rogula-Kozłowska, W. & Błaszczak, B. Number size distribution of ambient particles in a typical urban site: The first polish assessment based on long-term (9 Months) measurements. Sci. World J. 2013, 539568 (2013).
2. Braun, M., Margitai, Z., Tóth, A. & Leermakers, M. Environmental monitoring using linden tree leaves as natural traps of atmospheric deposition: A pilot study in Transylvania, Romania. AGD Landsc. Environ. 1, 24–35 (2007).
3. Nagendra, S. M. S. et al. (eds) Urban air quality monitoring, modelling and human exposure assessment (Springer, 2021). https://doi.org/10.1007/978-981-15-5511-4.
4. Kumar, P. et al. The rise of low-cost sensing for managing air pollution in cities. Environ. Int. 75, 199–205 (2015).
5. Lei, Y. et al. Effects of urban greenspace patterns on particulate matter pollution in metropolitan Zhengzhou in Henan, China. Atmosphere 9, 199 (2018).