Spatial outlier detection in the PM10 monitoring network of Normandy (France)

Developmental Biology

Misiti Michel¹  Portier Bruno⁴  Poggi Jean-Michel³  Misiti Yves¹  Bobbia Michel² 

[1] Université d’Orsay, Lab. de Mathématiques, 91405 Orsay, France$$;Air Normand, 3, place de la pomme d’or, 76 000 Rouen, France$$;Université d’Orsay, Lab. de Mathématiques, 91405 Orsay, France$$Université Paris Descartes, Paris, France$$;Normandie Université, INSA de Rouen, BP 08 – 76800 Saint–Etienne du Rouvray, France$$

关键词: Air quality;    kriging;    nearest neighbors;    particulate matter;    spatial outlier detection;   

DOI  :  10.5094/APR.2015.053

学科分类：农业科学（综合）

来源: Dokuz Eylul Universitesi * Department of Environmental Engineering

【 摘 要 】

We consider hourly PM₁₀ measurements from 22 monitoring stations located in Basse–Normandie and Haute–Normandie regions (France) and also in the neighboring regions. All considered monitoring stations are either urban background stations or rural ones. The paper focuses on the statistical detection of outliers of the hourly PM₁₀ concentrations from a spatial point of view. The general strategy uses a jackknife type approach and is based on the comparison of the actual measurement with some robust spatial prediction. Two spatial predictions are considered: the first one is based on the median of the concentrations of the closest neighboring stations which directly consider weighted concentrations while the second one is based on kriging increments, instead of more traditional pseudo–innovations. The two methods are applied to the PM₁₀ monitoring network in Normandy and are fully implemented by Air Normand (the official association for air quality monitoring in Haute–Normandie) in the Measurements Quality Control process. Some numerical results are provided on recent data from January 1, 2013 to May 31, 2013 to illustrate and compare the two methods.

【 授权许可】

Unknown   

【 预 览 】

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