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Results show that the fluctuation of a chemical oxygen demand from the surface layer (a depth of 0.5m) to the bottom layer (a depth of 0.5m on the bottom face) can be estimated using a neural network whose inputs are water depth, water temperature, salinity, dissolved oxygen, pH, chlorophyll-a, hours of sunshine, and respective amounts of precipitation and mean air temperature. When the sensitivity analysis was carried out to clarify the contribution of each environmental factor for the chemical oxygen demand, it was affected considerably by weather conditions (hours of sunshine, precipitation, water temperature, etc.), salinity, and chlorophyll-a.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"水産大学校","subitem_publisher_language":"ja"},{"subitem_publisher":"National Fisheries 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