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RIS320398 Maak gebruik van laaghangend schors bijlage 2

Commissie Leefomgeving 9 januari 2025, gemeente Den HaagBij agendapunt: Ingekomen bestuurlijke stukken12.037 woorden

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CARVALLO ET AL.

1. Elemental analysis confirmed that the magnetic susceptibility of the tree bark is a suitable proxy indicator for metallic PM of vehicular origin in urban environments. 2. There is a growing interest and participation of city dwellers, and particularly those who are involved in local association, to take action in favor of environmental research, as well as of municipalities to offer some support, at least in terms of logistics and communication. 3. Several particular areas of consistently high susceptibility values over time have been identified. 4. Two effects have been highlighted by our measurements: the rapid decrease in susceptibility values as the distance between the sampled tree and the road increases, and the screening effect of the parked vehicles on people walking on the pavement. Although these effects are quite intuitive, it is important to have data to support them. 5. Finally, we were able to show some trends in susceptibility variation over time along the Pompidou Expressway, one of the main roads in Paris. At the scale of a large city such as Paris, such sampling and measurements can help to measure the effects of local urban planning changes.

Conflict of Interest The authors declare no conflicts of interest relevant to this study.

Data Availability Statement The data used for analysis in the study are available at IPGP repository via https://doi.org/10.18715/IPGP.2024. m0b84bco with Licence Ouverte/Open Licence 2.0.

References Abensour, V., Turcati, L., & Charvolin, F. (2020). Lichens GO. In Sociologie d’une métrologie citoyenne de la qualité de l’air, Développement durable et territoire. Bityukova, L., Scholger, R., & Birke, M. (1999). Magnetic susceptibility as indicator of environmental pollution of soils in Tallinn. Physics and Chemistry of the Earth Part A: Solid Earth and Geodesy, 24(9), 829–835. https://doi.org/10.1016/S1464‐1895(99)00122‐2 Bonney, R., Phillips, T. B., Ballard, H. L., & Enck, J. W. (2016). Can citizen science enhance public understanding of science? Public Understanding of Science, 25(1), 2–16. https://doi.org/10.1177/0963662515607406

15 of 17

26929430, 2024, 3, Downloaded from https://onlinelibrary.wiley.com/doi/10.1029/2024CSJ000084 by Mines Paristech, Wiley Online Library on [04/09/2024]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License

10.1029/2024CSJ000084

Bonney, R., Shirk, J. L., Phillips, T. B., Wiggins, A., Ballard, H. L., Miller‐Rushing, A. J., & Parrish, J. K. (2014). Next steps for citizen science. Science, 343(6178), 1436–1437. https://doi.org/10.1126/science.1251554 Cao, L., Appel, E., Hu, S., Yin, G., Lin, H., & Rösler, W. (2015). Magnetic response to air pollution recorded by soil and dust‐loaded leaves in a changing industrial environment. Atmospheric Environment, 119, 304–313. https://doi.org/10.1016/j.atmosenv.2015.06.017 Carvallo, C., Godoy, N., Aguilar, B., Egas, N., Fuentealba, R., & Préndez, M. (2021). Long‐term monitoring of atmospheric pollution in the Maritime Antarctic with the lichen Usnea aurantiaco‐atra (Jacq.) Bory: A magnetic and elemental study. Antarctic Science, 33(6), 660–673. https://doi.org/10.1017/S0954102021000419 Chaparro, M. A. E., Chaparro, M. A. E., Castañeda‐Miranda, A. G., Marié, D. C., Gargiulo, J. D., Lavornia, J. M., et al. (2020). Fine air pollution particles trapped by street tree barks: In situ magnetic biomonitoring. Environmental Pollution, 266(1), 115229. https://doi.org/10.1016/j. envpol.2020.115229 Counoy, H., Turcati, L., Lorillière, R., Bénateau, S., Maalouf, J. P., Agnello, G., et al. (2023). Performance evaluation and applicability of Lichens GO, a citizen science‐based protocol for urban air quality monitoring. Ecological Indicators, 150, 110269.

https://doi.org/10.1016/j.ecolind. 2023.110269 Dawaï, D., Macouin, M., Rousse, S., Léon, J. F., Gountié Dedzo, M., & Drigo, L. (2021). Tracking airborne pollution with environmental magnetism in a medium‐sized African city. Atmosphere, 12(10), 1281. https://doi.org/10.3390/atmos12101281 Gautam, P., Blaha, U., & Appel, E. (2005). Magnetic susceptibility of dust‐ loaded leaves as a proxy of traffic‐related heavy metal pollution in Kathmandu city. Nepal. Atmospheric Environment, 39(12), 2201–2211. https://doi.org/10.1016/j.atmosenv.2005.01.006 Gilbert, O. L. (1974). Air pollution survey by school children. Environmental Pollution, 6(3), 175–180. https://doi.org/10.1016/0013‐9327(74) 90055‐X Gonet, T., Maher, B. A., & Kukutschová, J. (2021). Source apportionment of magnetite particles in roadside airborne particulate matter. Science of the Total Environment, 752, 141828. https://doi.org/10.1016/j.scitotenv.2020.141828 Haklay, M. (2013). Participatory citizen science. In S. Hecker, M. Haklay, A. Bowser, Z. Makuch, J. Vogel, & A. Bonn (Eds.), 2018. Citizen science: Innovation in open science, society and policy. UCL Press. https://doi.org/10.14324/111.9781787352339 Hanesch, M., & Scholger, R. (2002). Mapping of heavy metal loadings in soils by means of magnetic susceptibility measurements. Environmental Geology, 42(8), 857–870. https://doi.org/10.1007/s00254‐002‐0604‐1 Harrison, R.

M., & Jones, M. (1995). The chemical composition of airborne particles in the UK atmosphere. Science of the Total Environment, 168(3), 195–214. https://doi.org/10.1016/0048‐9697(95)04536‐a Hoffmann, V., Knab, M., & Appel, E. (1999). Magnetic susceptibility mapping of roadside pollution. Journal of Geochemical Exploration, 66(1– 2), 313–326. https://doi.org/10.1016/s0375‐6742(99)00014‐x Hofman, J., Maher, B. A., Muxworthy, A., Wuyts, K., Castanheiro, A., & Samson, R. (2017). Biomagnetic monitoring of atmospheric pollution: A review of magnetic Signatures from biological sensors. Environmental Science & Technology, 51(12), 6648–6664. https://doi.org/10.1021/acs. est.7b00832 Kullenberg, C., & Kasperowski, D. (2016). What is citizen science?—A scientometric meta‐analysis. PLoS One, 11(1), e0147152. https://doi.org/ 10.1371/journal.pone.0147152 Lecoanet, H., Leveque, F., & Ambrosi, J. P. (2003). Combination of magnetic parameters: An efficient way to discriminate soil‐contamination sources (south France). Environmental Pollution, 122(2), 229–234. https://doi.org/10.1016/s0269‐7491(02)00299‐3 Lee, K. A., Lee, J. R., & Bell, P. (2020). A review of citizen science within Earth sciences: Potential benefits and obstacles. Proceedings of the Geologists Association, 131(6), 605–617. https://doi.org/10.1016/j.pgeola.2020.07.010 Leite, A. D. S., Rousse, S., Léon, J.‐F., Trindade, R. I.

F., Haoues‐Jouve, S., Carvallo, C., et al. (2022). Barking up the right tree: Using tree bark to track airborne particles in school environment and link science to society. GeoHealth, 6(9), e2022GH000633. https://doi.org/10.1029/ 2022GH000633 Letaïef, S., Scotto‐d’Apollonia, L., Dosias‐Perla, D., Pinero, C., Perier, R., Nicoll, P., & Camps, P. (2023). Benefits and limitations of environmental magnetism for completing citizen science on air quality: A case study in a street Canyon, community science. Community Science, 2(2), e2022CSJ000010. https://doi.org/10.1029/2022CSJ000010 Macouin, M., Suchon, S., Gangneron, F., Haouès‐Jouve, S., Rousse, S., Léon, J. F., et al. (2023). La science participative pour relever de défi de la pollution de l’air urbain. In L’interdisciplinarité, voyage au‐delà des disciplines (pp. 162–166). CNRS. Maher, B. A., Moore, C., & Matzka, J. (2008). Spatial variation in vehicle‐derived metal pollution identified by magnetic and elemental analysis of roadside tree leaves. Atmospheric Environment, 42(2), 364–373. https://doi.org/10.1016/j.atmosenv.2007.09.013 Matzka, J., & Maher, B. A. (1999). Magnetic biomonitoring of roadside tree leaves: Identification of spatial and temporal variations in vehicle‐ derived particulates. Atmospheric Environment, 33(28), 4565–4569. https://doi.org/10.1016/s1352‐2310(99)00229‐0 Mitchell, R., & Maher, B. A. (2009).

Evaluation and application of biomagnetic monitoring of traffic‐derived particulate pollution. Atmospheric Environment, 43(13), 2095–2103. https://doi.org/10.1016/j.atmosenv.2009.01.042 Moreira, T. C. L., Amato‐Lourenço, L. F., da Silva, G. T., Saldiva de André, C. D., de André, P. A., Barrozo, L. V., et al. (2018). The use of tree barks to monitor traffic related air pollution: A case study in São Paulo–Brazil. Frontiers in Environmental Science, 6, 72. https://doi.org/10. 3389/fenvs.2018.00072 Moreno, E., Sagnotti, L., Dinarès‐Turell, J., Winkler, A., & Cascella, A. (2003). Biomonitoring of traffic air pollution in Rome using magnetic properties of tree leaves. Atmospheric Environment, 7(21), 2967–2977. https://doi.org/10.1016/S1352‐2310(03)00244‐9 Muxworthy, A. R., Lam, C., Green, D., Cowan, A., Maher, B. A., & Gonet, T. (2022). Magnetic characterization of London’s airborne nanoparticulate matter. Atmospheric Environment, 287, 119292. https://doi.org/10.1016/j.atmosenv.2022.119292 Muxworthy, A. R., Matzka, J., Davila, A. F., & Petersen, N. (2003). Magnetic signature of daily sampled urban atmospheric particles. Atmospheric Environment, 37(29), 4163–4169. https://doi.org/10.1016/s1352‐2310(03)00500‐4 Petrovský, E., Kapička, A., Jordanova, N., Knab, M., & Hoffmann, V. (2000).

Low‐field magnetic susceptibility: A proxy method of estimating increased pollution of different environmental systems. Environmental Geology, 39(3–4), 312–318. https://doi.org/10.1007/s002540050010 Pope, C. A., Hansen, M. L., Long, R. W., Nielsen, K. R., Eatough, N. L., Wilson, W. E., & Eatough, D. J. (2004). Ambient particulate air pollution. Heart rate variability. and blood markers of inflammation in a panel of elderly subjects. Environmental Health Perspectives, 112(3), 339–345. https://doi.org/10.1289/ehp.6588 Rochette, P. (1987). Magnetic susceptibility of the rock matrix related to magnetic fabric studies. Journal of Structural Geology, 9(8), 1015–1020. https://doi.org/10.1016/0191‐8141(87)90009‐5 Sagnotti, L., Rochette, P., Jackson, M., Vadeboin, F., Dinarès‐Turell, J., & Winkler, A. (2003). Inter‐laboratory calibration of low field and anhysteretic susceptibility measurements. Physics of the Earth and Planetary Interiors, 138(1), 25–38. https://doi.org/10.1016/s0031‐9201(03) 00063‐3

CARVALLO ET AL.

16 of 17

26929430, 2024, 3, Downloaded from https://onlinelibrary.wiley.com/doi/10.1029/2024CSJ000084 by Mines Paristech, Wiley Online Library on [04/09/2024]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License

10.1029/2024CSJ000084

Sagnotti, L., Taddeucci, J., Winkler, A., & Cavallo, A. (2009). Compositional, morphological, and hysteresis characterization of magnetic airborne particulate matter in Rome, Italy. Geochemistry, Geophysics, Geosystems, 10(8), Q08Z06. https://doi.org/10.1029/2009GC002563 Schneider, P., Castell, N., Vogt, M., Dauge, F. R., Lahoz, W. A., & Bartonova, A. (2017). Mapping urban air quality in near real‐time using observations from low‐cost sensors and model information. Environment International, 106, 234–247. https://doi.org/10.1016/j.envint.2017. 05.005 Seed, L., Wolseley, P., Gosling, L., Davies, L., & Power, S. A. (2013). Modelling relationships between lichen bioindicators, air quality and climate on a national scale: Results from the UK OPAL air survey. Environmental Pollution, 182, 437–447. https://doi.org/10.1016/j.envpol. 2013.07.045 Sokhi, R. S., Moussiopoulos, N., Baklanov, A., Bartzis, J., Coll, I., Finardi, S., et al. (2022). Advances in air quality research—Current and emerging challenges. Atmospheric Chemistry and Physics, 22(7), 4615–4703. https://doi.org/10.5194/acp‐22‐4615‐2022 Tregidgo, D. J., West, S. E., & Ashmore, M. R. (2013). Can citizen science produce good science? Testing the OPAL air survey methodology, using lichens as indicators of nitrogenous pollution. Environmental Pollution, 182, 448–451.

https://doi.org/10.1016/j.envpol.2013.03.034 Turcati, L., Legrand, M., Plattner, G., & Eymard, L. (2022). PartiCitaE: Histoire et enseignement d’une expérimentation pas à pas. ISTE Technologies et Innovation, 7, 4. https://doi.org/10.21494/ISTE.OP.2022.0871 Winkler, A., Contardo, T., Vannini, A., Sorbo, S., Basile, A., & Loppi, S. (2020). Magnetic emissions from brake‐wear are the major source of airborne particulate matter bioaccumulated by lichens exposed in Milan (Italy). Applied Sciences, 10(6), 2073. https://doi.org/10.3390/ app10062073

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