In this paper, we propose an overall framework about Bohai sea ice comprehensive service and expert aid decision-making system, among which six subsystems consists of sea ice multi-source information acquisition subsystem, sea ice comprehensive information database, sea ice comprehensive information integration subsystem, sea ice expert aid decision-making subsystem, sea ice products release subsystem, and sea ice disaster loss evaluation subsystem. The proposing system has such features as functional integration, business-oriented product services, visual display and decision making, and so on. This paper can provide reference for the construction of sea ice comprehensive service and expert aid decision-making system in China.
Off shore waters provide resources for human beings, while on the other hand, threaten them because of marine disasters. Ocean stations are part of off shore observation networks, and the quality of their data is of great signifi cance for exploiting and protecting the ocean. We used hourly mean wave height, temperature, and pressure real-time observation data taken in the Xiaomaidao station (in Qingdao, China) from June 1, 2017, to May 31, 2018, to explore the data quality using eight quality control methods, and to discriminate the most eff ective method for Xiaomaidao station. After using the eight quality control methods, the percentages of the mean wave height, temperature, and pressure data that passed the tests were 89.6%, 88.3%, and 98.6%, respectively. With the marine disaster (wave alarm report) data, the values failed in the test mainly due to the infl uence of aging observation equipment and missing data transmissions. The mean wave height is often aff ected by dynamic marine disasters, so the continuity test method is not eff ective. The correlation test with other related parameters would be more useful for the mean wave height.
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