Agnihotri, R., Sawlani, R., Azam, M. M., Basumatary, S. K., Sharma, C., Mishra, S. K., Kumar, R., Narayanan, T., Rathore, J. S., & Tripathi, J. (2020). Geochemical, stable isotopic, palynological characterization of surface dry soils and atmospheric particles over Jodhpur city (Thar Desert, Rajasthan) during peak summer of 2013. MAPAN, 35(1); 53–67. https://doi.org/10.1007/s12647-019-00337-5
Al-Shayeb, S.M., Al-Rajhi, M.A. & Seaward, M.R.D. (1995). The date palm (Phoenix dactylifera L.) as a biomonitor of lead and other elements in arid environments. Sci. Total Environ., 168(1); 1–10.
Bates, M.R. (2002). Environmental magnetism: a practical guide. Quatern. Sci. Rev., 21(8–9); 1118–1120.
Brauer, M., Guttikunda, S. K., Nishad, K. A., Dey, S., Tripathi, S. N., Weagle, C., & Martin, R. V. (2019). Examination of monitoring approaches for ambient air pollution: A case study for India. Atmos. Environ., 216; 116940. https://doi.org/10.1016/j.atmosenv.2019.116940
Brzozowski, K., Maczyński, A. & Ryguła, A. (2020). Monitoring road traffic participants’ exposure to PM10 using a low-cost system. Sci. Total Environ., 728; 138718.
Cavaliere, A. et al. (2018). Development of low-cost air quality stations for next generation monitoring networks: calibration and validation of PM2.5 and PM10 sensors. Sensors, 18(9); 2843.
CPCB (2003). Guidelines for ambient air quality monitoring. Retrieved April 21, 2023, from http://www.indiaairquality.info/wp-content/uploads/docs/2003_CPCB_Guidelines_for_Air_Monitoring.pdf.
CPCB (2020). CPCB CAAQMS Dashboard. Retrieved April 21, 2023, from https://app.cpcbccr.com/ccr/#/caaqm-dashboard-all/caaqm-landing.
Dawaï, D. et al. (2021). Tracking airborne pollution with environmental magnetism in a medium-sized african city. Atmosphere 2021, 12(10); 1281.
Feenstra, B. et al. (2019). Performance evaluation of twelve low-cost PM2.5 sensors at an ambient air monitoring site. Atmos. Environ., 216; 116946.
Gillooly, S. E., Michanowicz, D. R., Jackson, C. M., Shmool, J. L. C., Bain, D. J., Pappas, C. P., & Clougherty, J. E. (2019). Evaluating deciduous tree leaves as biomonitors for ambient particulate matter pollution in Pittsburgh, PA, USA. Environmental Monitoring and Assessment, 191(12), 711. https://doi.org/10.1007/s10661-019-7831-3
Giordano, M. R., Malings, C., Pandis, S. N., Presto, A. A., McNeill, V. F., Westervelt, D. M., Beekmann, M., & Subramanian, R. (2021). From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors. Journal of Aerosol Science, 158, 105833. https://doi.org/10.1016/j.jaerosci.2021.105833
Hofman, J., Wuyts, K., Van Wittenberghe, S., Brackx, M., & Samson, R. (2014). On the link between biomagnetic monitoring and leaf-deposited dust load of urban trees: Relationships and spatial variability of different particle size fractions. Environmental Pollution, 189, 63–72. https://doi.org/10.1016/j.envpol.2014.02.020
Hofman, J., Maher, B. A., Muxworthy, A. R., 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.7b00882
Jeddi, K., Chaieb, M., & Garbey, M. (2021). Tree species as a biomonitor of metal pollution in arid Mediterranean environments: Case for arid southern Tunisia. Environmental Science and Pollution Research, 28(22), 28598–28605. https://doi.org/10.1007/s11356-021-12607-0
Jodhpur Development Authority (2016). Jodhpur Metro Development Plan 2031. Retrieved April 21, 2023, from https://urban.rajasthan.gov.in/content/dam/raj/udh/development-authority/jda-jodhpur/pdf/Jodhpur MDP Report 2031.pdf.
Kawasaki, K., Horikawa, K. & Sakai, H. (2017). Magnetic biomonitoring of roadside pollution in the restricted Midagahara area of Mt. Tateyama, Toyama, Japan. Environ. Sci. Pollut. Res., 24(11); 10313–10325.
Khamesi, A., Khademi, H. & Zeraatpisheh, M. (2020). Biomagnetic monitoring of atmospheric heavy metal pollution using pine needles: the case study of Isfahan, Iran. Environ. Sci. Pollut. Res., 27(25); 31555–31566.
Kinney, P.L. (2018). Interactions of climate change, air pollution, and human health. Curr. Environ. Health Rep., 5(1); 179–186.
Larrasoaña, J.C. et al. (2021). Environmental magnetic fingerprinting of anthropogenic and natural atmospheric deposition over southwestern Europe. Atmos. Environ., 261; 118568.
Lavi, A. et al. (2016). Mapping air pollution by biological monitoring in the metropolitan Tel Aviv area. Int. J. Environ. Health Res., 26(3); 346–360.
Liu, Q., Roberts, A. P., Torrent, J., & Horng, C.-S. (2007). What do the HIRM and S-ratio really measure in environmental magnetism? Geochemistry, Geophysics, Geosystems, 8(9), Q09011. https://doi.org/10.1029/2007GC001662.
Maher, B.A. (2009). Rain and dust: Magnetic records of climate and pollution. Elements, 5(4); 229–234.
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. Atmos. Environ., 42(2); 364–373.
Mathur, M.L. & Choudhary, R.C. (1997). Desert Lung Syndrome, in rural dwellers of the Thar Desert, India. J. Arid Environ., 35(3); 559–562.
Matzka, J., & Maher, B.A. (1999). Magnetic biomonitoring of roadside tree leaves: identification of spatial and temporal variations in vehicle-derived particulates. Atmos. Environ., 33(28); 4565–4569.
Mitchell, R. & Maher, B.A. (2009). Evaluation and application of biomagnetic monitoring of traffic-derived particulate pollution. Atmos. Environ., 43(13); 2095–2103.
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, 37(21), 2967–2977. https://doi.org/10.1016/S1352-2310(03)00244-0
Norouzi, S., Khademi, H., Ayoubi, S., & Cano, A. F. (2016). Biomagnetic monitoring of heavy metals contamination in deposited atmospheric dust, a case study from Isfahan, Iran. Journal of Environmental Management, 173, 55–64. https://doi.org/10.1016/j.jenvman.2016.03.002
Padmakumar, G. P., Srinivas, K., Uday, K. V., Iyer, K. R., & Pathak, P. (2012). Characterization of aeolian sands from Indian desert. Engineering Geology, 139–140, 38–49. https://doi.org/10.1016/j.enggeo.2012.04.005
Pant, P., Singh, N., & Guttikunda, S. K. (2019). Monitoring particulate matter in India: Recent trends and future outlook. Air Quality, Atmosphere & Health, 12(1), 45–58. https://doi.org/10.1007/s11869-018-0629-6
Paoli, L., Guttová, A., Grassi, A., Lackovičová, A., Senko, D., & Loppi, S. (2017). Magnetic properties and element concentrations in lichens exposed to airborne pollutants released during cement production. Environmental Science and Pollution Research, 24(13), 12063–12080. https://doi.org/10.1007/s11356-017-8838-3
PetiolePro (2023). PetioleProTM. Retrieved April 21, 2023, from https://www.petiolepro.com/leaf-area-meter-petiole-pro/
Petrovský, E., Kapička, A., Grison, H., Kotlík, B., & Miturová, H. (2020). Negative correlation between concentration of iron oxides and particulate matter in atmospheric dust: Case study at industrial site during smoggy period. Environmental Sciences Europe, 32(1), Article 134. https://doi.org/10.1186/s12302-020-00420-8
Plume Labs (2014). Flow, by Plume Labs. Retrieved April 23, 2023, from https://plumelabs.com/en/flow/
Plume Labs (2017). Plume air cloud – air quality data crowdsourcing platform for environmentally-friendly cities. https://cordis.europa.eu/project/id/778501.
Raheja, G., Harper, K., & Hennigan, C. J. (2022). Community-based participatory research for low-cost air pollution monitoring in the wake of unconventional oil and gas development in the Ohio River Valley: Empowering impacted residents through community science. Environmental Research Letters, 17(6), 065006. https://doi.org/10.1088/1748-9326/ac7d5d
Rai, P., Chakraborty, A., & Gupta, T. (2020). Real-time measurement and source apportionment of elements in Delhi’s atmosphere. Science of the Total Environment, 742, 140332. https://doi.org/10.1016/j.scitotenv.2020.140332
Rai, P.K., & Chutia, B.M. (2016). Particulate matter bio-monitoring through magnetic properties of an Indo-Burma hotspot region. Chem. Ecol., 32(6); 550–574.
Rai, P.K., Chutia, B.M., & Patil, S.K. (2014). Monitoring of spatial variations of particulate matter (PM) pollution through bio-magnetic aspects of roadside plant leaves in an Indo-Burma hot spot region. Urban For. Urban Greening, 13(4); 761–770.
Roy, S., Habib, G., & Raman, R.S. (2024). Identification of source contributions to fine particulate matter at Indian desert-urban mixed region. Atmos. Environ., 320; 120303.
Sagnotti, L., Taddeucci, J., Winkler, A., & Cavallo, A. (2006). Magnetic properties of atmospheric particulate matter from automatic air sampler stations in Latium (Italy): Toward a definition of magnetic fingerprints for natural and anthropogenic PM10 sources. Journal of Geophysical Research: Solid Earth, .111.(B12), B12S22. https://doi.org/10.1029/2006JB004508
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
Sheikh, H. A., Maher, B. A., & Karloukovski, V. (2022). Biomagnetic characterization of air pollution particulates in Lahore, Pakistan. Geochemistry, Geophysics, Geosystems, 23.(2), e2021GC010293. https://doi.org/10.1029/2021GC010293
Tomlinson, D. L., Wilson, J. G., Harris, C. R., & Jeffrey, D. W. (1980). Problems in the assessment of heavy-metal levels in estuaries and the formation of a pollution index. Helgoländer Meeresuntersuchungen, .33., 566–575. https://doi.org/10.1007/BF02414780
Wang, Y., Li, J., Jing, H., Zhang, Q., Jiang, J., & Biswas, P. (2015). Laboratory evaluation and calibration of three low-cost particle sensors for particulate matter measurement. Aerosol Science and Technology, .49.(11), 1063–1077. https://doi.org/10.1080/02786826.2015.1100710
Westervelt, D. M., Ma, Y., Bopili, L., & Mubedi, J. P. (2024). Low-cost investigation into sources of PM2.5 in Kinshasa, Democratic Republic of the Congo. ACS ES&T Air, .1.(1), 43–51. https://doi.org/10.1021/acsestair.3c00042
WHO (2016). Ambient air pollution: A global assessment of exposure and burden of disease. Retrieved June 17, 2023, from https://www.who.int/publications/i/item/9789241511353.
WHO (2022). Billions of people still breathe unhealthy air: new WHO data, World Health Organization. Retrieved June 7, 2023, from https://www.who.int/news/item/04-04-2022-billions-of-people-still-breathe-unhealthy-air-new-who-data.
Winkler, A., Sagnotti, L., & Taddeucci, J. (2021). The effect of Covid-19 lockdown on airborne particulate matter in Rome, Italy: A magnetic point of view. Environmental Pollution, 291, 118191. https://doi.org/10.1016/j.envpol.2021.118191
Yadav, S. & Rajamani, V. (2004). Geochemistry of aerosols of northwestern part of India adjoining the Thar desert. Geochim. Cosmochim. Acta, 68(9); 1975–1988.