In order to monitor the long-term condition of structures in nuclear waste disposal system and evaluate the degree of damage, it is necessary to secure quantitative monitoring, diagnosis, and prediction technology. However, at present, only simple monitoring or deterioration evaluation of the structure is being performed. Recently, there is a trend to develop monitoring systems using artificial intelligence algorithms, such as to introduce artificial intelligence-based failure diagnosis technology in nuclear power plant facilities. An artificial intelligence algorithm was applied to distinguish the noise signal and the destructive signal collected in the field. This can minimize false alarms in the monitoring system. However, it is difficult to apply artificial intelligence to industrial sites only by learning through laboratory data. Therefore, a database of noise signals and destructive signals was constructed through laboratory data, and signals effective for quantitative soundness determination of structures were separated and learned. In addition, an adaptive artificial intelligence algorithm was developed to enable additional learning and adaptive learning using field data, and its performance was verified through experiments.

Bloom of small centric diatom Stephanodiscus is quite occasional in winter season in temperate freshwater ecosystems. It often leads to degradation of water quality and affects the quality of supplied drinking water. In a previous study, we have found that naphthoquinone (NQ) 4-6 derivate is an effective tool for efficient mitigation of natural S. hantzschii blooms. In the present research, polylactide (PLA) and agar foam were used as immobilized agent for NQ 4-6 to improve the efficiency of NQ 4-6 compound releasing process for its application under various field conditions. Mesocosm experiments at 10 ton scale suggested that the abundance of S. hantzschii was continuously increased in the control and upon treatment of the mesocosm with immobilized NQ 4-6 from PLA and agar foam. Their algicidal activities were 78.8% and 77.1%, respectively, on S. hantzschii after 10 days. In the mesocosm experiments, the dynamics of biotic (bacteria, HNFs, ciliates, zooplankton) and abiotic (water temperature, dissolved oxygen, pH, conductivity, nutrients) factors remained unaffected. They exhibited similar trends in the control and treatment groups. Therefore, the immobilized NQ 4-6 from PLA and agar foam has potential to be used as an alternative algicidal substance to effectively mitigate natural S. hantzschii blooms under various field conditions. In addition, it not only can be used to control S. hantzschii, but also is an effective technique. The immobilized NQ 4-6 showed stable controlled release in desired system.

Two Grapholita congener, G. molesta and G. dimorpha have difference in several biological characters such as flight time, emerging number/year, damage site, pupation site, and mating time although their host plants were similar. As a problem, cross-trapping was identified in each trap for monitoring. Effects on species-specific lure using minor sex pheromone components were observed in host plant orchards (apple, pear, peach, and plum) for continuative two years. Treatments of various ratios (0 to 10%) of Z8-12OH to G. molesta lure (Z8-12Ac/E8-12Ac = 95:5) allowed to increase the attraction of G. molesta, but not of G. dimorpha male. Other two minor components (14Ac and 12Ac) to G. dimorpha lure (Z8-12Ac/E8-12Ac = 85:15) were not showed species-specific responses. However, 10% treatment of Z8-14Ac to G. dimorpha lure was showed that G. molesta was decreased significantly although G. dimoprha was not affected. E8-14Ac treatment to new G. dimorpha lure (Z8-12Ac/E8-12Ac/Z8-14Ac = 85:15:10) not affected to attraction of two species. From these results, we suggest that optimum ratios for species-specific monitoring of G. molesta and G. dimorpha are Z8-12Ac/E8-12Ac/Z8-12OH = 95:55:5 and Z8-12Ac/E8-12Ac/Z8-14Ac = 85:15:10, respectively.

본 연구는 무인 항공사진 촬영을 이용하여 해안에 산재한 해안표착물을 탐지하는 새로운 방법을 제시하였다. 이동성과 신속성, 경제성이 우수한 소형 무선 조정 헬리콥터의 기체와 헬리콥터의 진동에 관계없이 연직 상태를 유지할 수 있는 짐벌 장치에 디지털카메라를 장착하여 항공사진 촬영을 시행하였다. 또한, 촬영된 영상으로부터 해안표착물을 탐지하기 위해 Matlab program을 이용한 디지털 영상처리 알고리즘을 고안하였다. 특히 고안된 알고리즘은 배경 차감 기법(Background subtraction method)을 적용하여 연구 대상 해안의 각기 다른 모래 상태로 인해 발생하는 물체 추출 오차를 감소시킴으로써 다양한 형태의 해안표착물을 안정적으로 탐지하는 결과를 보여주었다. 향후, 이 연구 방법을 적용한 해안표착물 모니터링이 이루어질 경우 모니터링 대상 구역 설정의 대표성 문제 해결 및 발생량 추정에 크게 기여할 수 있으며, 해양환경 감시 분야에 활용가능성이 클 것으로 판단된다.

국내산지사면의 토양수분 시공간적 분포상황을 파악하기 위한 토양수분 측정법이 개발되었다. 대상유역을 정밀측정하여 수치고도모형을 구성한 다음 흐름분배 알고리즘을 적용하고 공간적 변화의 대표성을 최대화하기 위한 측정체계를 구축하였다. 토양수분이 강우-유출형성과정에 기여하는 기작을 표현하는 유도과정도 전개되었다. 측정은 설마천 유역의 법륜사 우측사면에서 수행되었다. 다중 측정망의 운영을 통하여 시공간적으로 변화하는 토양수분 자료를 획득하였다. 습한 조건에서 토