Harnessing monitoring measurements in urban environments for decision making after nuclear accidents

Abstract This article gives an overview on the conceptual design of the I nhabited A reas M onitoring M odule IAMM which will be introduced into European decision support systems for nuclear emergencies. It will improve the use of monitoring data of radioactive contamination in urban environments for decision making. IAMM converts the dated gamma dose rate (GDR) measurements from geo-referenced locations into maps of surface contamination with an enhanced spatial resolution. Depending on the availability of the monitoring data, IAMM relies on two modes of operation. If there are only a few measurements, these are taken to improve the maps from a deposition model using data assimilation. If the number of measurements is sufficient to apply spatial interpolation IAMM will rely entirely on monitoring data. Suitable geo-referenced data points will be interpreted by IAMM with respect to their detector environment using the concept of location factors. The endpoints of IAMM can be used directly for decision making or dose calculations with either simple dose models or the more refined EuRopean Model for INhabited areas (ERMIN).