1:45 PM - 2:00 PM
[HSC05-13] Development of a biological impact database on marine organisms
Keywords:Database, Sub-seabed CO2 storage, Marine monitoring, CO2 leakage
When CO2 leaks from the seabed into the sea, the CO2 concentration in seawater increases and pCO2 rises. This result affects marine organisms. In assessing the potential environmental impact of leaked CO2, which is required by law, it is important to collect data on the relationship between pCO2 and biological impact, and organize them into a usable form. In this study, we developed a biological impact database for the purpose of searching and managing data on the biological impact of CO2. When developing the system, we first defined the system requirements. This includes consideration of data volume, search items, search time, maintainability, and so on. We also aimed for an easy-to-use interface. In addition, graphing function was installed in the system using search results so that the impact threshold level can be confirmed on the screen. In parallel with the development of the database system, impact data were extracted from various papers related to biological impacts and inputted into the database. The species to be stored in the database were selected in consideration of various stakeholders. As a result, 150 lethal records and 661 sub-lethal records were collected. Biological impact is determined by a pCO2 value and exposure time. Therefore, the lethal index was organized as LC50 and LT50 that are ΔpCO2 (pCO2 increment from the natural state) and exposure time, respectively, for half of the organisms to be killed . Although various items related to sublethal impact have been reported, in this database they have been classified into eight categories: growth, life and death, proliferation, metamorphosis, hatching, infection, malformation, and behavior. As the sublethal index, LnRR and Hedges' d were calculated to allow mutual comparison between the categories. LnRR is the logarithmic of the ratio of a variable in a category between the control group and the experimental group, and Hedges' d is another index calculated from the average value, the number of samples, and the standard deviation of both the control and experimental groups. Environmental impact assessment has a step to describe the biological composition of the target sea area. Based on the results obtained in this step, the information required for the target sea area can be searched and extracted from this database. By combining ΔpCO2 distribution estimated from a simulation calculating leaked CO2 dispersion based on a leakage scenario with the results from the database, it is possible to predict an area of biological impacts caused by CO2 leakage. In addition, the results obtained from the biological impact database can be used to select organisms and items that should be focused on in monitoring.