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Spatial distribution characteristics of PM(2.5) and PM(10) in Xi’an City predicted by land use regression models
PM(2.5) and PM(10) could increase the risk for cardiovascular and respiratory diseases in the general public and severely limit the sustainable development in urban areas. Land use regression models are effective in predicting the spatial distribution of atmospheric pollutants, and have been widely...
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| Pubblicato in: | Sustain Cities Soc |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Published by Elsevier Ltd.
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7293537/ https://ncbi.nlm.nih.gov/pubmed/32834929 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.scs.2020.102329 |
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