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1 Ergebnisse
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Using Bayesian spatio-temporal model to determine the socio..:
Jin, Jie-Qi
;
Du, Yue
;
Xu, Li-Jun
...
Environmental Pollution. 254 (2019) - p. 113023 , 2019
Link:
https://doi.org/10.1016/j.envpol.2019.113023
RT Journal T1
Using Bayesian spatio-temporal model to determine the socio-economic and meteorological factors influencing ambient PM2.5 levels in 109 Chinese cities
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.envpol.2019.113023&Exemplar=1&LAN=DE A1 Jin, Jie-Qi A1 Du, Yue A1 Xu, Li-Jun A1 Chen, Zhao-Yue A1 Chen, Jin-Jian A1 Wu, Ying A1 Ou, Chun-Quan PB Elsevier BV YR 2019 SN 0269-7491 JF Environmental Pollution VO 254 SP 113023 LK http://dx.doi.org/https://doi.org/10.1016/j.envpol.2019.113023 DO https://doi.org/10.1016/j.envpol.2019.113023 SF ELIB - SuUB Bremen
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