Probabilistic assessment of spatiotemporal fine particulate matter concentrations in Taiwan using multivariate indicator kriging-Reference-Cited by-同舟云学术

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Probabilistic assessment of spatiotemporal fine particulate matter concentrations in Taiwan using multivariate indicator kriging

Published:2023-11-03 Issue: Volume: Page:
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Jang Cheng-Shin

Funder

National Science and Technology Council, Taiwan

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00477-023-02600-3.pdf

Reference43 articles.

1. Agarwal A, Kaushik A, Kumar S, Mishra RK (2020) Comparative study on air quality status in Indian and Chinese cities before and during the COVID-19 lockdown period. Air Qual Atmos Health 13:1167–1178. https://doi.org/10.1007/s11869-020-00881-z

2. Alexeeff SE, Schwartz J, Kloog I, Chudnovsky A, Koutrakis P, Coull BA (2015) Consequences of kriging and land use regression for PM25 predictions in epidemiologic analyses: insights into spatial variability using high-resolution satellite data. J Expos Sci Environ Epidemiol 25(2):138–144. https://doi.org/10.1016/j.envint.2022.107233

3. Cambardella CA, Moorman TB, Parkin TB, Karlen DL, Novak JM, Turco RF, Konopka AE (1994) Field-scale variability of soil properties in central Iowa soils. Soil Sci Soc Am J 58:1501–1511. https://doi.org/10.2136/sssaj1994.03615995005800050033x

4. Chan TC, Chou CC, Chu YC, Tang JH, Chen LC, Lin HH, Chen KJ, Chen RC (2022) Effectiveness of controlling COVID-19 epidemic by implementing soft lockdown policy and extensive community screening in Taiwan. Sci Rep 12(1):12053. https://doi.org/10.1038/s41598-022-16011-x

5. Chen Z, Chen D, Zhao C, Kwan M, Cai J, Zhuang Y, Zhao B, Wang X, Chen B, Yang J, Li R, He B, Gao B, Wang K, Xu B (2020) Influence of meteorological conditions on PM2.5 concentrations across China: a review of methodology and mechanism. Environ Int 139:105558. https://doi.org/10.1016/j.envint.2020.105558

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