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E u r o S c i C o n C o n f e r e n c e o n

Chemistry

2018

Chemistry 2018

Journal of Organic & Inorganic Chemistry

ISSN 2472-1123

F e b r u a r y 1 9 - 2 0 , 2 0 1 8

P a r i s , F r a n c e

Page 57

I

n this paper, we consider dynamic Bayesian models for four different

pollutants: nitric oxide (NO), carbon monoxide (CO), sulphur dioxide (SO

2

)

and non-methane hydrocarbon (NCH

4

) recorded daily in six different stations

in Kuwait from 1999 to 2002. The structures of the models depend on time,

space and pollutants. The approach strives to incorporate the uncertainty of

the covariance structure into simulated models and final inference; therefore,

hierarchical Bayesian model is applied. Association between level of pollutants

and different meteorological variables, such as wind speed, wind directions,

temperature and humidity are considered. The models will decompose into two

main components: a deterministic part to represent the observed components

term and a stochastic term to represent the unobservable components. Our

analysis will start with basic model and gradually increase its complexity. At

each stage the efficiency of the model will be measured. The resulting models

subsequently are tested by comparing the output terms and by comparing and

the predictions with the real observations.

Biography

Shafiqah Alawadhi earned her BS Degree in Computer and

Statistical Science from Kuwait University (KU) in 1989. She

obtained her MS Degree in Statistics Science and her PhD in

Bayesian Statistics from Aberdeen University in Scotland, UK in

1998. Her professional interests are general statistical analysis,

Bayesian statistics especially subjective probability assess-

ment, environmental statistics, educational statistics, Markov

chains, Monte Carlo method, and multivariate statistics. She is

a member of various statistical associations and societies. She

has published more than 35 papers in reputed journals and has

been serving in their editorial board.

alawadhidodo@yahoo.com

Spatial-temporal model for ambient air pollutants in the state of

Kuwait

Shafiqah Al-Awadhi and Fahima Al-Awadhi

Kuwait University, Kuwait

Shafiqah Al-Awadhi, J Org Inorg Chem 2018, Volume: 4

DOI: 10.21767/2472-1123-C1-003