SPATIO-TEMPORAL DISTRIBUTIONS OF NITROGEN DIOXIDE AROUND CAN-BAYRAMIC REGION IN CANAKKALE: A COMPARATIVE EXPOSURE AND MODEL STUDY

Space-time data analysis and assimilation techniques in atmospheric sciences typically consider input from monitoring measurements. The input is often processed in a manner that acknowledges characteristics of the measurements (e.g., underlying patterns, fluctuation features) under conditions of uncertainty; it also leads to the derivation of secondary information that serves study-oriented goals, and provides input to space-time prediction techniques. This work describes a comparison of the predicted NO(2) concentrations with the results of ten measurement stations at Can-Bayramic region in 2006. A meteorological model CALMET and its puff dispersion model CALPUFF were used to predict ambient NO2 concentrations in the region. Statistical analyses were carried out to evaluate the model performance by using two main parameters: correlation coefficient (r) and index of agreement (d). The agreement of model predictions and measurements was better for eight rural monitoring stations (Mallikoy, Kocaagacli, Hamdibey, Kizilelma, Osmaniye, Katran, Yosunlucesme and Fatmaoluk) compared with the two suburban stations (Can and Bayramic).