Statistical modeling approaches for pm10 prediction in urban areas; A review of 21st-century studies

Atmosphere

Volumn 7, Issue 2, 2016, Pages

  Shahraiyni, Hamid Taheri ^a,b   Sodoudi, Sahar ^a  

^a FREIE UNIVERSITÄT BERLIN   (Germany)

^b SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Forecasting; PM10; PM10 predictors; Spatial prediction; Spatial temporal prediction; Statistical models; Urban areas

Indexed keywords

LAND USE; NEURAL NETWORKS; STATISTICAL METHODS;

EXPLANATORY VARIABLES; SPATIAL PREDICTION; SPATIAL TEMPORALS; SPATIO-TEMPORAL PREDICTION; STATISTICAL MODELING; STATISTICAL TECHNIQUES; TEMPORAL RESOLUTION; URBAN AREAS;

FORECASTING;

NUMERICAL MODEL; PARTICULATE MATTER; PREDICTION; SPATIOTEMPORAL ANALYSIS; STATISTICAL ANALYSIS; TWENTY FIRST CENTURY; URBAN AREA;

EID: 84959542151     PISSN: None     EISSN: 20734433     Source Type: Journal    
DOI: 10.3390/atmos7020015     Document Type: Review

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