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Assimilation model of marine environmental data measured by different organizations in Osaka Bay

Many researchers have noticed that environmental data of coastal sea area have been obtained, analyzed and stored independently by different departments of local governments. If those environmental data are assimilated in space and time over the sea area concerned, they may play important roles for expressing the physical, chemical and biological processes of marine environments and ecosystems. The assimilated data may also be useful for predicting/managing marine environments of the coastal sea area. However, there are no such assimilated data available so far. The authors propose a mathematical model for assimilating marine environmental data such as seawater temperature, salinity, concentration of nutrients etc. measured separately at different space and time. Provided marine environmental data source published by different organizations, they develop a mathematical model applying the auto-regressive model (AR-model). They introduce a modified seasonal adjustment algorithm into the AR-model to express the autoregressive components. Applying the proposed model to environmental data measured in Osaka Bay by Osaka Prefectural Fisheries Instruction Center and Environmental Pollution Control Center, Osaka Prefecture, they studied the validity, reliability and applicability of the proposed model. They finally confirmed that the model proposed is valid for assimilating the environmental data in space and time.