This study calculated the on-site measurement (Tier 4) of greenhouse gases emitted during the production stage of major fishing periods that utilize set nets and bamboo weir fishing boats. In addition, using theoretically calculated results (Tier 1), the emission factor presented by the Intergovernmental Panel on Climate Change (IPCC) was comparatively analyzed. On average, carbon emissions for each operating period in the bamboo weir and set net were calculated to be 0.16 and 3.58 kg CO2 time -1 , respectively; and the measurement values (Tier 4) for each tool were about 4-17 times lower than their respective theoretical values (Tier 1). Significant differences were found based on engine performance. As port entry, port departure, and operating periods of the vessels show negligible variation with short distances, the operation of the vessel engine was considered as the main variable for carbon emissions in anchovy set net fishing.

Recently, demand for systematic and scientific management system is increasing as national consciousness of safety improved. Various studies on monitoring and management techniques of important facilities are being carried out, but it is difficult to conduct swift countermeasures in case of real disasters. Specially, damage inflicted by disasters would be preventable when stability of construction sites as in downtown area or tunnel construction sites where human and material damage is expected to be high can be identified promptly. This study developed a scene visualization measurement sensor using LED and applied on the safety management of structures. The scene visualization measurement technique can change the paradigm of existing measurement methods. The technique will allow users to determine safety of structures promptly and easily in real time without professional help. Also, it will reduce professional manpower for structure management during or after completing the construction, and it can minimize damage from disaster occurrence through quick response when unusual symptoms occur.