Ecological disturbance plants distributed throughout the country are causing a lot of damage to us directly or indirectly in terms of ecology, economy and health. These plants are not easy to manage and remove because they have a strong fertility, and it is very difficult to express them quantitatively. In this study, drone hyperspectral sensor data and Field spectroradiometer were acquired around the experimental area. In order to secure the quality accuracy of the drone hyperspectral image, GPS survey was performed, and a location accuracy of about 17cm was secured. Spectroscopic libraries were constructed for 7 kinds of plants in the experimental area using a Field spectroradiometer, and drone hyperspectral sensors were acquired in August and October, respectively. Spectral data for each plant were calculated from the acquired hyperspectral data, and spectral angles of 0.08 to 0.36 were derived. In most cases, good values of less than 0.5 were obtained, and Ambrosia trifida and Lactuca scariola, which are common in the experimental area, were extracted. As a result, it was found that about 29.6% of Ambrosia trifida and 31.5% of Lactuca scariola spread in October than in August. In the future, it is expected that better results can be obtained for the detection of ecosystem distribution plants if standardized indicators are calculated by constructing a precise spectral angle standard library based on more data.

We computed parameters that affect velocity distribution by applying Chiu’s two-dimensional velocity distribution equation based on the theory of entropy probability and acoustic doppler current profiler (ADCP) of Jungmun-stream, Akgeun-stream, and Yeonoe-stream among the nine streams in Jeju Province between July 2011 and June 2015. In addition, velocity and flow were calculated using a surface image velocimeter to evaluate the parameters estimated in the velocity observation section of the streams. The mean error rate of flow based on ADCP velocity data was 16.01% with flow calculated using the conventional depth-averaged velocity conversion factor (0.85), 6.02% with flow calculated using the surface velocity and mean velocity regression factor, and 4.58% with flow calculated using Chiu’s two-dimensional velocity distribution equation. If surface velocity by a non-contact velocimeter is calculated as mean velocity, the error rate increases for large streams in the inland areas of Korea. Therefore, flow can be calculated precisely by utilizing the velocity distribution equation that accounts for stream flow characteristics and velocity distribution, instead of the conventional depth-averaged conversion factor (0.85).

본 연구는 재래누룩에서 분리 동정한Aspergillus oryzae 83-10(AO)을 활용하여 원료조건에 따른 pellet형 누룩의 특성과 양조특성을 검토하였다. 실험 결과, 원료의 조건은 10분간 증자하여 살균․호화된 원료(S)가 pellet 누룩의 제조에 있어서 안정적이고, 높은 효소력의 생성에 더욱 적합한 것으로 나타났으며, 발효경과 32시간 때에 효소활성이 높고, 포자생성에 의한 포자 날림 등이 없어 작업성이 가장 우수하였다. 제조된 pellet 누룩 S-AO(32시간 배양)과 시판되고 있는 재래누룩 SH의 효소활성(dry base, unit/g)을 비교한 결과, glucoamylase 활성 S-AO(325.92) > SH(297.44), α-amylase 활성 S-AO(421.26) > SH(75.12) 및 acidic carboxypeptidase 활성 S-AO(3,803.8) > SH(278.6)으로 pellet 누룩이 재래누룩과 비교해 유의적으로 높은 수치를 나타내었으며, 누룩의 일반분석 결과에서는 SH 누룩이 pH, 총산, 아미노산도 모두 유의적으로 높은 수치를 나타내었다. 약주 양조특성 분석 결과 발효가 끝난 시점에 SH 술덧의 가용성고형물과 총산함량이 S-AO 술덧과 비교하여 유의하게 높게 나타났으며, S-AO 술덧은 아미노산 함량과 알코올 함량이 유의적으로 높게 나타났다. 알코올 함량 분석결과 S-AO 17.96%, SH 12.66%으로 큰 차이를 나타내어 발효 안정성과 수율에 있어서 S-AO 술덧이 높은 평가를 받았다. 발효경과 중 술덧의 효소활성은 누룩의 사용량을 쌀 사용량(g)×30 unit/g(glucoamylase)으로 효소활성 수치에 따라 달리 하였지만 그에 못 미치는 결과를 보였다. 술덧제조 직후 S-AO 26.69 unit/mL, SH 17.58 unit/mL으로 S-AO 시료는 비교적 근접한 수치를 나타내었지만 SH 시료는 상당량 부족한 모습을 보여 이러한 결과는 누룩의 품질 균일성에 의한 것으로 판단되어진다. 이러한 결과로 살균된 통밀을 pellet형 누룩으로 가공하여 국균을 배양하면 기존 재래식 누룩이나 입국에 비하여 품질을 떨어뜨리지 않으며, 제조효율도 상당히 높일 수 있을 것으로 기대할 수 있다.