- 1.
Winkler, K.; Fuchs, R.; Rounsevell, M.; Herold, M. Global land use changes are four times greater than previously estimated. Nat. Commun. 2021, 12, 2501.
- 2.
Dadashpoor, H.; Azizi, P.; Moghadasi, M. Land use change, urbanization, and change in landscape pattern in a metropolitan area. Sci. Total Environ. 2019, 655, 707–719.
- 3.
Zhou, W.; Yu, W.; Qian, Y.; Han, L.; Pickett, S.T.A.; Wang, J.; Li, W.; Ouyang, Z. Beyond city expansion: Multi-scale environmental impacts of urban megaregion formation in China. Natl. Sci. Rev. 2022, 9, nwab107.
- 4.
Espey, J.; Parnell, S.; Revi, A. The transformative potential of a Global Urban Agenda and its lessons in a time of crisis. NPJ Urban Sustain. 2023, 3, 15.
- 5.
Pandey, B.; Brelsford, C.; Seto, K.C. Infrastructure inequality is a characteristic of urbanization. Proc. Natl. Acad. Sci. 2022, 119, e2119890119.
- 6.
Yu, H.; Zahidi, I. Environmental hazards posed by mine dust, and monitoring method of mine dust pollution using remote sensing technologies: An overview. Sci. Total Environ. 2023, 864, 161135.
- 7.
Maus, V.; Giljum, S.; Gutschlhofer, J.; da Silva, D.M.; Probst, M.; Gass, S.L.B.; Luckeneder, S.; Lieber, M.; McCallum, I. A global-scale data set of mining areas. Sci. Data 2020, 7, 289.
- 8.
Worlanyo, A.S.; Jiangfeng, L. Evaluating the environmental and economic impact of mining for post-mined land restoration and land-use: A review. J. Environ. Manag. 2021, 279, 111623.
- 9.
Sonter, L.J.; Ali, S.H.; Watson, J.E.M. Mining and biodiversity: Key issues and research needs in conservation science. Proc. R. Soc. B Biol. Sci. 2018, 285, 20181926.
- 10.
Hara, K.; Zhang, D. Bacterial abundance and viability in long-range transported dust. Atmos. Environ. 2012, 47, 20–25.
- 11.
Zhang, T.; Chen, Y.; Cai, Y.; Yu, Y.; Liu, J.; Shen, X.; Li, G.; An, T. Abundance and cultivable bioaerosol transport from a municipal solid waste landfill area and its risks. Environ. Pollut. 2023, 320, 121038.
- 12.
Xie, Z.; Fan, C.; Lu, R.; Liu, P.; Wang, B.; Du, S.; Jin, C.; Deng, S.; Li, Y. Characteristics of ambient bioaerosols during haze episodes in China: A review. Environ. Pollut. 2018, 243, 1930–1942.
- 13.
Li, Z.; Ma, Z.; van der Kuijp, T.J.; Yuan, Z.; Huang, L. A review of soil heavy metal pollution from mines in China: Pollution and health risk assessment. Sci. Total Environ. 2014, 468–469, 843–853.
- 14.
Fan, P.; Lu, X.; Yu, B.; Fan, X.; Wang, L.; Lei, K.; Yang, Y.; Zuo, L.; Rinklebe, J. Spatial distribution, risk estimation and source apportionment of potentially toxic metal(loid)s in resuspended megacity street dust. Environ. Int. 2022, 160, 107073.
- 15.
Šantl-Temkiv, T.; Sikoparija, B.; Maki, T.; Carotenuto, F.; Amato, P.; Yao, M.; Morris, C.E.; Schnell, R.; Jaenicke, R.; Pöhlker, C.; et al. Bioaerosol field measurements: Challenges and perspectives in outdoor studies. Aerosol Sci. Technol. 2020, 54, 520–546.
- 16.
Akimbekov, N.S.; Digel, I.; Tastambek, K.T.; Marat, A.K.; Turaliyeva, M.A.; Kaiyrmanova, G.K. Biotechnology of Microorganisms from Coal Environments: From Environmental Remediation to Energy Production. Biology 2022, 11, 1306.
- 17.
Labouyrie, M.; Ballabio, C.; Romero, F.; Panagos, P.; Jones, A.; Schmid, M.W.; Mikryukov, V.; Dulya, O.; Tedersoo, L.; Bahram, M.; et al. Patterns in soil microbial diversity across Europe. Nat. Commun. 2023, 14, 3311.
- 18.
Wanjun, T.; Qingxiang, C.A.I. Dust distribution in open-pit mines based on monitoring data and fluent simulation. Environ. Monit. Assess. 2018, 190, 632.
- 19.
Wu, T.; Boor, B.E. Urban aerosol size distributions: A global perspective. Atmos. Chem. Phys. 2021, 21, 8883–8914.
- 20.
Chen, P.-C.; Lin, Y.-T. Exposure assessment of PM2.5 using smart spatial interpolation on regulatory air quality stations with clustering of densely-deployed microsensors. Environ. Pollut. 2022, 292, 118401.
- 21.
Faisal, A.-A.; Rahman, M.M.; Haque, S. Retrieving spatial variation of aerosol level over urban mixed land surfaces using Landsat imageries: Degree of air pollution in Dhaka Metropolitan Area. Phys. Chem. Earth Parts A/B/C 2022, 126, 103074.
- 22.
Liu, L.; Zhang, X.; Gao, Y.; Chen, X.; Shuai, X.; Mi, J. Finer-Resolution Mapping of Global Land Cover: Recent Developments, Consistency Analysis, and Prospects. J. Remote Sens. 2021, 2021, 5289697.
- 23.
Zhao, Y.; Zhu, Z. ASI: An artificial surface Index for Landsat 8 imagery. Int. J. Appl. Earth Obs. Geoinf. 2022, 107, 102703.
- 24.
Zuo, J.; Rameezdeen, R.; Hagger, M.; Zhou, Z.; Ding, Z. Dust pollution control on construction sites: Awareness and self-responsibility of managers. J. Clean. Prod. 2017, 166, 312–320.
- 25.
Edwards, D.P.; Sloan, S.; Weng, L.; Dirks, P.; Sayer, J.; Laurance, W.F. Mining and the African Environment. Conserv. Lett. 2014, 7, 302–311.
- 26.
Li, J.; Carlson, B.E.; Yung, Y.L.; Lv, D.; Hansen, J.; Penner, J.E.; Liao, H.; Ramaswamy, V.; Kahn, R.A.; Zhang, P.; et al. Scattering and absorbing aerosols in the climate system. Nat. Rev. Earth Environ. 2022, 3, 363–379.
- 27.
Sharma, R.; Kumar, A. Analysis of seasonal and spatial distribution of particulate matters and gaseous pollutants around an open cast coal mining area of Odisha, India. Environ. Sci. Pollut. Res. 2023, 30, 39842–39856.
- 28.
Zhao, X.; Huang, J.; Lu, J.; Sun, Y. Study on the influence of soil microbial community on the long-term heavy metal pollution of different land use types and depth layers in mine. Ecotoxicol. Environ. Saf. 2019, 170, 218–226.
- 29.
Zhang, J.; Fu, M.; Hassani, F.P.; Zeng, H.; Geng, Y.; Bai, Z. Land Use-Based Landscape Planning and Restoration in Mine Closure Areas. Environ. Manag. 2011, 47, 739–750.
- 30.
Gutierrez-Velez, V.H.; Gilbert, M.R.; Kinsey, D.; Behm, J.E. Beyond the ‘urban’ and the ‘rural’: Conceptualizing a new generation of infrastructure systems to enable rural–urban sustainability. Curr. Opin. Environ. Sustain. 2022, 56, 101177.
- 31.
Korek, M.; Johansson, C.; Svensson, N.; Lind, T.; Beelen, R.; Hoek, G.; Pershagen, G.; Bellander, T. Can dispersion modeling of air pollution be improved by land-use regression? An example from Stockholm, Sweden. J. Expo. Sci. Environ. Epidemiol. 2017, 27, 575–581.
- 32.
Ma, X.; Gao, J.; Longley, I.; Zou, B.; Guo, B.; Xu, X.; Salmond, J. Development of transferable neighborhood land use regression models for predicting intra-urban ambient nitrogen dioxide (NO2) spatial variations. Environ. Sci. Pollut. Res. 2022, 29, 45903–45918.
- 33.
Ghosh, B.; Lal, H.; Srivastava, A. Review of bioaerosols in indoor environment with special reference to sampling, analysis and control mechanisms. Environ. Int. 2015, 85, 254–272.
- 34.
Zhao, Y.; Zhang, J.; Wang, S.; Yu, L.; Yu, H.; Wang, Y.; Feng, L. Efficacy of 75% alcohol in pretreatment of the Andersen sampler in trapping maximum airborne microbes. Aerobiologia 2021, 37, 171–178.
- 35.
Zhang, Z.; Wang, K. The Synoptic to Decadal Variability in the Winter Surface Wind Speed Over China by the Weather Regime View. Geophys. Res. Lett. 2021, 48, e2020GL091994.
- 36.
Xu, Y.; Liu, Y.; Chen, R.; Meng, Y.; Li, K.; Fu, C. Study on the spatio-temporal evolution characteristics and driving mechanism of China’s carbon emissions. Humanit. Soc. Sci. Commun. 2023, 10, 786.
- 37.
Xu, M.; Chang, C.-P.; Fu, C.; Qi, Y.; Robock, A.; Robinson, D.; Zhang, H. Steady decline of east Asian monsoon winds, 1969–2000: Evidence from direct ground measurements of wind speed. J. Geophys. Res. Atmos. 2006, 111, D24111.
- 38.
Mousavi, S.E.; Delgado-Saborit, J.M.; Adivi, A.; Pauwels, S.; Godderis, L. Air pollution and endocrine disruptors induce human microbiome imbalances: A systematic review of recent evidence and possible biological mechanisms. Sci. Total Environ. 2022, 816, 151654.
- 39.
Wong, P.-Y.; Lee, H.-Y.; Chen, Y.-C.; Zeng, Y.-T.; Chern, Y.-R.; Chen, N.-T.; Candice Lung, S.-C.; Su, H.-J.; Wu, C.-D. Using a land use regression model with machine learning to estimate ground level PM2.5. Environ. Pollut. 2021, 277, 116846.
- 40.
Xue, S.; Liu, X.; Li, Y.; Liu, B.; Tu, Q.; Li, C. Pathogenic Bacterial Communities of Dust in a Coal Mine. Front. Environ. Sci. 2022, 10, 857744.
- 41.
Pincetl, S. Cities in the age of the Anthropocene: Climate change agents and the potential for mitigation. Anthropocene 2017, 20, 74–82.
- 42.
Kameoka, S.; Motooka, D.; Watanabe, S.; Kubo, R.; Jung, N.; Midorikawa, Y.; Shinozaki, N.O.; Sawai, Y.; Takeda, A.K.; Nakamura, S. Benchmark of 16S rRNA gene amplicon sequencing using Japanese gut microbiome data from the V1–V2 and V3–V4 primer sets. BMC Genom. 2021, 22, 527.
- 43.
Yang, K.; Li, L.; Xue, S.; Wang, Y.; Liu, J.; Yang, T. Influence factors and health risk assessment of bioaerosols emitted from an industrial-scale thermophilic biofilter for off gas treatment. Process Saf. Environ. Prot. 2019, 129, 55–62.
- 44.
Akila, M.; Earappa, R.; Qureshi, A. Ambient concentration of airborne microbes and endotoxins in rural households of southern India. Build. Environ. 2020, 179, 106970.
- 45.
Lü, H.; Wen, S.; Feng, Y.; Wang, X.; Bi, X.; Sheng, G.; Fu, J. Indoor and outdoor carbonyl compounds and BTEX in the hospitals of Guangzhou, China. Sci. Total Environ. 2006, 368, 574–584.
- 46.
Borghi, F.; Spinazzè, A.; Mandaglio, S.; Fanti, G.; Campagnolo, D.; Rovelli, S.; Keller, M.; Cattaneo, A.; Cavallo, D.M. Estimation of the Inhaled Dose of Pollutants in Different Micro-Environments: A Systematic Review of the Literature. Toxics 2021, 9, 140.
- 47.
Cheng, Y.; Ma, N.; Witt, C.; Rapp, S.; Wild, P.S.; Andreae, M.O.; Pöschl, U.; Su, H. Face masks effectively limit the probability of SARS-CoV-2 transmission. Science 2021, 372, 1439–1443.
- 48.
Medema, G.J.; Teunis, P.F.M.; Havelaar, A.H.; Haas, C.N. Assessment of the dose-response relationship of Campylobacter jejuni. Int. J. Food Microbiol. 1996, 30, 101–111.
- 49.
Seppey, C.V.W.; Lara, E.; Broennimann, O.; Guisan, A.; Malard, L.; Singer, D.; Yashiro, E.; Fournier, B. Landscape structure is a key driver of soil protist diversity in meadows in the Swiss Alps. Landsc. Ecol. 2023, 38, 949–965.
- 50.
Hanson, C.A.; Fuhrman, J.A.; Horner-Devine, M.C.; Martiny, J.B.H. Beyond biogeographic patterns: Processes shaping the microbial landscape. Nat. Rev. Microbiol. 2012, 10, 497–506.
- 51.
Martiny, J.B.H.; Bohannan, B.J.M.; Brown, J.H.; Colwell, R.K.; Fuhrman, J.A.; Green, J.L.; Horner-Devine, M.C.; Kane, M.; Krumins, J.A.; Kuske, C.R.; et al. Microbial biogeography: Putting microorganisms on the map. Nat. Rev. Microbiol. 2006, 4, 102–112.
- 52.
Vicuña, R.; González, B. The microbial world in a changing environment. Rev. Chil. De Hist. Nat. 2021, 94, 2.
- 53.
Katiyar, V. Assessment of indoor air micro-flora in selected schools. Adv. Environ. Res. 2013, 2, 61–80.
- 54.
Li, Y.; Lu, R.; Li, W.; Xie, Z.; Song, Y. Concentrations and size distributions of viable bioaerosols under various weather conditions in a typical semi-arid city of Northwest China. J. Aerosol Sci. 2017, 106, 83–92.
- 55.
Lladó Fernández, S.; Větrovský, T.; Baldrian, P. The concept of operational taxonomic units revisited: Genomes of bacteria that are regarded as closely related are often highly dissimilar. Folia Microbiol. 2019, 64, 19–23.
- 56.
He, Y.; Caporaso, J.G.; Jiang, X.-T.; Sheng, H.-F.; Huse, S.M.; Rideout, J.R.; Edgar, R.C.; Kopylova, E.; Walters, W.A.; Knight, R.; et al. Stability of operational taxonomic units: An important but neglected property for analyzing microbial diversity. Microbiome 2015, 3, 20.
- 57.
Roswell, M.; Dushoff, J.; Winfree, R. A conceptual guide to measuring species diversity. Oikos 2021, 130, 321–338.
- 58.
Wei, K.; Zheng, Y.; Li, J.; Shen, F.; Zou, Z.; Fan, H.; Li, X.; Wu, C.-Y.; Yao, M. Microbial aerosol characteristics in highly polluted and near-pristine environments featuring different climatic conditions. Sci. Bull. 2015, 60, 1439–1447.
- 59.
Menut, L.; Siour, G.; Bessagnet, B.; Couvidat, F.; Journet, E.; Balkanski, Y.; Desboeufs, K. Modelling the mineralogical composition and solubility of mineral dust in the Mediterranean area with CHIMERE 2017r4. Geosci. Model Dev. 2020, 13, 2051–2071.
- 60.
Cavender-Bares, J.; Schneider, F.D.; Santos, M.J.; Armstrong, A.; Carnaval, A.; Dahlin, K.M.; Fatoyinbo, L.; Hurtt, G.C.; Schimel, D.; Townsend, P.A.; et al. Integrating remote sensing with ecology and evolution to advance biodiversity conservation. Nat. Ecol. Evol. 2022, 6, 506–519.
- 61.
Han, Y.; Li, L.; Wang, Y.; Ma, J.; Li, P.; Han, C.; Liu, J. Composition, dispersion, and health risks of bioaerosols in wastewater treatment plants: A review. Front. Environ. Sci. Eng. 2020, 15, 38.
- 62.
Liu, Z.; Zhuang, W.; Hu, L.; Rong, R.; Li, J.; Ding, W.; Li, N. Experimental and numerical study of potential infection risks from exposure to bioaerosols in one BSL-3 laboratory. Build. Environ. 2020, 179, 106991.
- 63.
Sheikhnejad, Y.; Aghamolaei, R.; Fallahpour, M.; Motamedi, H.; Moshfeghi, M.; Mirzaei, P.A.; Bordbar, H. Airborne and aerosol pathogen transmission modeling of respiratory events in buildings: An overview of computational fluid dynamics. Sustain. Cities Soc. 2022, 79, 103704.
- 64.
Peng, S.; Chen, Q.; Liu, E. The role of computational fluid dynamics tools on investigation of pathogen transmission: Prevention and control. Sci. Total Environ. 2020, 746, 142090.
- 65.
Fairs, A.; Agbetile, J.; Bourne, M.; Hargadon, B.; Monteiro, W.R.; Morley, J.P.; Edwards, R.E.; Wardlaw, A.J.; Pashley, C.H. Isolation of Aspergillus fumigatus from sputum is associated with elevated airborne levels in homes of patients with asthma. Indoor Air 2013, 23, 275–284.
- 66.
Leleu, C.; Menotti, J.; Meneceur, P.; Choukri, F.; Sulahian, A.; Garin, Y.J.-F.; Denis, J.-B.; Derouin, F. Bayesian Development of a Dose-Response Model for Aspergillus fumigatus and Invasive Aspergillosis. Risk Anal. 2013, 33, 1441–1453.
- 67.
Wang, M.; Kong, W.; Marten, R.; He, X.-C.; Chen, D.; Pfeifer, J.; Heitto, A.; Kontkanen, J.; Dada, L.; Kürten, A.; et al. Rapid growth of new atmospheric particles by nitric acid and ammonia condensation. Nature 2020, 581, 184–189.