In this study, we collected and analyzed the current status of licenses for the limited fishery business and divided the problems related to licenses for the limited fishery business into partial damage compensation and cancellation compensation areas. In the case of partial damage compensation areas due to existing public water use projects, it is suggested that the issuance of licenses for limited fishery businesses should be reconsidered. In the case of cancellation compensation areas, it is recommended that the disposition of communal fishery businesses that do not require capital investment should be the principle. If capital such as facilities are invested, compensation should be made by Article 52 of the Enforcement Decree of the Land Compensation Act if the licenses for limited fishery business are closed due to other development projects. In addition, we proposed an improvement plan to establish a rational management system for licenses for limited fishery businesses. In addition to these improvement measures, we hope that further investigation and research on licenses for limited fishery business, which have been insufficient so far, will be conducted to promote the comprehensive use of fisheries resources and waters and the sustainable development of fisheries that are the objectives of the Fisheries Act, and contribute to the improvement of the quality of life of the people and the balanced development of the national economy.

본 연구에서는 국내 아스팔트 도로 현장에서 발생한 동절기 도로융기 현상의 발생 원인을 현장 규명하고 동결융해 피해를 보수하고 자 현장조사, 현장 LFWD실험 및 포장 코어채취, 지하수위 측정, 기상데이터 및 설계자료 분석 등을 실시하였다. 본 연구의 동상 원인 분석은 추후 동결융해 피해 재발방지를 위한 적정한 보수보강공법을 선정하기 위해 수행하였다. 분석과정은 지하수위 상승에 의한 동 상피해 가능성, 동결깊이 과소설계에 의한 동결융해 가능성, 포장면 표면수 유입에 의한 동결융해 가능성, 도로 외측 비포장면을 통한 수분유입과 이에 의한 동결융해 가능성으로 조사하여 동상 원인을 파악하였다. 또한 현장에서 소형충격 재하시험 LFWD(Falling Weight Deflctometer)시험을 하여 포장의 구조적 지지력을 측정하여 얻은 처짐값을 통해 포장체 구조적 능력을 분석함과 동시에 도로융기와의 연관성을 파악하여 균열분석 결과를 함께 분석하고 보수방법을 제안하였다.

Background: Brassica oleracea var. italica (broccoli), a rich source of antioxidants, can prevent various diseases and improve human health. In this study, we investigated the antioxidative effects of broccoli sprout extract on oxidative stress induced by lipopolysaccharide and cisplatin in cell and organ tissue models. Methods: Antioxidative effect of BSE was evaluated using DPPH and ABTS in RAW 364.7 cells, and effects of BSE on testes were investigated using Cisplatin-induced testicular damage model with an in vitro organ culture system. Results: The DPPH assay showed that the antioxidant activity of the alcoholic broccoli sprout extract was higher than that of the water extract. Additionally, the expression levels of antioxidation-related genes, Nrf2 , Gsr , HO-1, and catalase , were significantly increased in broccoli sprout extract-treated RAW 264.7 cells, and the extract suppressed lipopolysaccharide-induced mitochondrial dysfunction. Based on the results in the RAW 264.7 cell culture, the antioxidative effects of the extracts were investigated in a mouse testis fragment culture. The expression of Nrf2 , HO-1 , and Ddx4 was clearly decreased in cisplatin-treated mouse testis fragments and not in both broccoli sprout extract- and cisplatin-treated mouse testis fragments. In addition, the oxidative marker O-HdG was strongly detected in cisplatin-treated mouse testis fragments, and these signals were reduced by broccoli sprout extract treatment. Conclusions: The results of this study show that broccoli sprout extracts could serve as potential nutraceutical agents as they possess antioxidant effects in the testes.

PURPOSES : There has been increasing interest in South Korea on warm-mix asphalt (WMA) and cold-mix asphalt (CMA) technologies that allow production of asphalt pavement mixtures at comparatively lower temperatures than those of hot-mix asphalt (HMA) for use in pavement engineering. This study aims to evaluate the feasibility of replacing HMA pavement with WMA pavement with the goal of reducing CO2 emissions associated with asphalt production for road construction. METHODS : Changes in the dynamic modulus characteristics of WMA and HMA according to short-term and long-term aging were evaluated. In addition, the effects of water damage were evaluated for short- and long-term aging stages. RESULTS : For WMA, in the process of mixing and short-term aging, early-age dynamic modulus decreased owing to low temperature and reduced short-term aging (STA) time. This could result in early damage to the asphalt pavement depending on the applied traffic load and environmental load. CONCLUSIONS : Mastercurves of the dynamic modulus were used for comparative analysis of WMA and HMA. Compared to the dynamic modulus after STA of HMA, the estimated aging time determined by experiments for WMA to achieve the required stiffness was more than 48 hours, which is equiva-lent to approximately 4 to 5 years real service life when converted. It is considered that further studies are needed for performance optimization to achieve early-age performance of the asphalt mixes.

This study was carried out to verify the effect of increasing the ambient temperature around apple trees by directly blowing warm-air under the slender spindle apple training system using an agricultural warm-air blower and ducts used in plastic house cultivation to develop late frost damage reduction technology during the blooming season. The temperature increase effect around apple trees owing to the operating warm-air blowing ducts was most evident at a height of 30 cm from the ground surface. At this height, the branch ducts made of Oxford fabric and Solartex showed a raised ambient temperature of about 2.6oC and 1.1oC, respectively. However, the temperature rising effect at a height of 130 cm and 230 cm from the ground surface owing to the operating warm-air blowing ducts was not distinct compared to that in the control. The effect of raising ambient temperature around apple trees through the operation of warm-air blowing ducts was found to be greater as the ambient temperature did not severely drop below the freezing temperature. Damage to the central flower in the apple inflorescence at the pink stage was significantly reduced in the warm-air blowing ducts made of Oxford fabric (42.8%) compared to that in the control (73.2%). However, the damage to other flowers except the central one was not significant compared to that in the control. The fruiting rate of the central and other flowers in the apple inflorescence depending on the operating warm-air blowing ducts was significantly increased compared to that in the control. The fruiting rates of central and other flowers depending on the ducts materials, such as Oxford fabric, and Solartex, and that of the control were 38.3%/82.7%, 31.4%/82.7%, and 0.5%/61.1%, respectively. In conclusion, in the case of open-field apple orchards, if the warm-air blowing duct is installed close to the laterals where frost damage mainly occurs in the slender- spindle dense cultivation system, the damage caused by late frost in the vicinity of blooming time can be reduced to some extent.

PURPOSES : The purpose of this study is to provide basic data to improve the service life of asphalt pavement using basalt aggregate in Jeju Island by evaluating the performance of asphalt pavement through analysis of material and structural aspects. METHODS : To evaluate the performance of Jeju Island's asphalt pavement, cracks, permanent deformation, and longitudinal roughness were analyzed for the Aejo-ro road, which has high traffic and frequent premature damage. Cores were collected from Aejo-ro sections in good condition and damaged condition, and the physical properties of each layer were compared and analyzed. In addition, plate cores were collected from two sections with severe damage and the cause of pavement damage was analyzed in detail. RESULTS : About 45% of the collected cores suffered damage such as layer separation and damage to the lower layer. The asphalt content of surface layer in the damaged section was found to be 1.1% lower on average than that in the good condition section, and the mix gradations generally satisfied the standards. The density difference between the cores of each layer was found to be quite large, and the air voids was found to be at a high level. CONCLUSIONS : Test results on the cores showed that, considering the high absorption ratio of basalt aggregate, the asphalt content was generally low, and the high air voids of the pavement was believed to have had a significant impact on damage. High air voids in asphalt pavement can be caused by poor mixture itself, poor construction management, or a combination of the two factors. Additionally, the separation of each layer is believed to be the cause of premature failure of asphalt pavement.

PURPOSES : This study intended to derive a methodology that can evaluate water splash caused by distress on the road surface based on experimental methods and to present quantitatively by analyzing the impact on road users. METHODS : Through literature review, the current problems of road pavement and drainage facility standards, the factors of road splash caused by puddle was selected to measure damage. Field measurements were conducted by setting different conditions for each factors and setting different conditions based on the hypothesis. In addition, water splash by surface distress type and puddle was measured to analyze using statistical techniques from correlation to multi-regression. RESULTS : The maximum and effective distance due to road splash increases as the driving speed, regardless of vehicle load and tyre type. Splash was measured according to the type of road distress to analyze the correlation between the influencing factors, and there was a weak correlation between the width and length of the puddle, depth and the effective distance. In addition, the interaction analysis showed that there was an interaction between the width of the water hole and the depth of puddle. Moreover, based on the multi-regression analysis, it was not statistical significant. This is judged to that the number of data samples used for this analysis is limited because the diversity of puddle conditions cannot be set differently for each type of distress. CONCLUSIONS : Since the distress of depending on the size, depth and shape of the road surface, it is necessary to calculate it and present maintenance standards, so this results present an experimental methodology that can intuitively evaluate damage cased by unestablished puddle. From this results, this is expected to be used as a quantitative indicator to evaluate the satisfaction of road users as a functional performance according to road surface condition.

This study proposes a methodology for the regional seismic risk assessment of structural damage to buildings in Korea based on evaluating individual buildings, considering inconsistency between the administrative district border and grid lines to define seismic hazard. The accuracy of seismic hazards was enhanced by subdividing the current 2km-sized grids into ones with a smaller size. Considering the enhancement of the Korean seismic design code in 2005, existing seismic fragility functions for seismically designed buildings are revised by modifying the capacity spectrum according to the changes in seismic design load. A seismic risk index in building damage is defined using the total damaged floor area considering building size differences. The proposed seismic risk index was calculated for buildings in 29 administrative districts in 'A' city in Korea to validate the proposed assessment algorithm and risk index. In the validation procedure, sensitivity analysis was performed on the grid size, quantitative building damage measure, and seismic fragility function update.

PURPOSES : Previously, the expansion state of the concrete pavement in which AAR occurred could not be determined. Because the current situation has not been evaluated, it has been difficult to prepare an appropriate response. In this study, a method for calculating the expansion amount of concrete pavement using the stiffness damage test (SDT) is proposed. METHODS : The SDT method was examined through a literature review. For the laboratory tests, specimens that generated AAR were produced based on the mix design (2018) of the Korea Expressway Corporation. SDT was used to calculate various mechanical properties, and their correlation with the expansion amount was reviewed. RESULTS : Using the SDT, various mechanical properties(elastic modulus, hysteresis area, plastic deformation, plastic deformation index, stiffness damage index, and nonlinear index) were calculated based on the expansion rate of the AAR. The elastic modulus was evaluated as the best predictor of the expansion rate. Thus, if the elastic modulus is calculated using SDT, a prediction equation can be used to calculate the amount of AAR expansion. This equation will need to be supplemented by further research. CONCLUSIONS : SDT was used to confirm that the expansion state due to the AAR of the concrete pavement could be indirectly evaluated. Among the mechanical properties related to SDT, the elastic modulus was found to be the most suitable for predicting the amount of expansion.

신종 갈색날개매미충은 과실류에 대하여 심각한 경제적 피해를 야기한다. 국내에서는 이종의 관리를 위해 화학약제를 사용하고 있다. 그러나, 이 해충에 대한 살충제의 사용시기과 종류는 꿀벌 개체군에 악영향을 일으킨 다. 그러므로, 본 연구는 감에 있어 살충제의 사용을 감소시키고 효과를 증대시킬 수 있는 방제의사결정 수준을 평가하였다. 공간분포 분석을 통하여 감귤의 피해관련 요소인 신초, 과실형성수, 수확량에 어떤 발육단계가 영향 을 주었는지를 확인하였다. 갈색날개매미충 알의 분포는 감 열매 수와 공간적으로 관련되어 있었다. 그러나 갈색 날개매미충 알의 밀도와 감의 피해와 관련된 요인들 간에 어떠한 선형 관계를 발견하지는 못했다. 그러나 갈색날 개매미충의 밀도와 산란된 죽은 가지와의 상관성은 확인되었다. 난괴 밀도에 근거한 죽는 가지 추정 발육 모델 (Developed model of branch death possibility)로부터 새롭게 발달된 가지당 5.75개의 난괴가 방제의사결정 수준으 로 제안되었다. 위의 결과들은 과원내 갈색날개매미충 관리의 효과를 높임과 동시에 다른 곤충에 대한 방제의사 결정수준을 개발하는데 도움을 줄 수 있을 것이다.

Since the importance of integrated pest management to minimize environmental damage and maximize pest control effectiveness has emerged, efforts to put it into practice have continued. To implement IPM, it is necessary to estimate the economic injury level to determine the control method by identifying pests and weeds that damage the quantity and quality of crops in the field, investigating the occurrence level, and calculating the ratio of cost and effectiveness. Also, damage to host plants caused by increased density of insect pests appears to change plant’s health that key factor for managing crops. Therefore, understanding the relationship between the density of pests and the damage to the host plants is necessary. This study aims to analyze the causal relationship between the density of insect pests and damage to the host plants for estimating the economic injury level of insect pests on the host plants and investigating the possibility of pest control decision-making using plant health status.

Anoplophora horsfieldii (Hope, 1843), 국명 노랑알락하늘소(가칭)는 아열대 지역에 주로 분포하는 종으로 2019 년에 제주도 용연계곡에서 처음 발견되었으며, 2023년에 국내 정착이 보고되었다. 국내에서는 팽나무에서 발생 하는 것으로 알려졌으나, 섭식방식, 산란 선호성 등 생태적 특성에 대해서는 국내외 연구가 전무하다. 따라서 본 연구에서는 노랑알락하늘소의 기초적인 생태정보를 제공하고자 실내 산란 선호성 조사 및 야외조사를 진행 했다. 산란 선호성 실험은 기주식물로 알려진 팽나무, 멀구슬나무와 제주도내 대표 수종인 동백나무, 종가시나무 을 대상으로 했다. 이 중 팽나무에서만 산란이 확인었으며, 상대적으로 굵은 팽나무에서 더 많은 산란이 확인되었 다. 야외조사에서는 최대 발생지인 용연계곡을 기준으로 반경 3 km 내에서 노랑알락하늘소의 탈출공이 확인된 32 그루의 팽나무를 대상으로 피해를 조사하였다. 나무의 굵기는 흉고직경이 20-40 cm인 팽나무에서 탈출공이 많이 확인되었고, 높이는 지면으로 부터 0-100 cm 구간에서 가장 많은 탈출공이 발견되었다.

소나무허리노린재는(Leptoglossus occidentalis)는 북미원산으로 2010년 경남 창원에서 국내 침입이 처음 확인 되었다. 최근 까지는 소나무 구과에서 피해에서 나타났으나 이로 인한 피해는 수목생육에 직접적인 영향이 적은 편이다. 그러나 2020년 경기도 가평군의 잣나무 구과에서 피해가 확인되었는데, 잣나무 구과는 산림에서 경제적 으로 매우 중요한 소득작물로, 이로 인한 피해가 문제가 되기 시작하였다. 잣나무 구과에서 소나무허리노린재 발생소장 조사를 위해 경기도 가평군 6개 지역의 잣나무 상부에 타임랩스 카메라(TLC2020,Brinno)설치하고 영 상분석을 통해 잣 구과에서 소나무허리노린재 발생소장을 조사한 결과, 잣 구과에서 2021년 6월 7일에 최초 관찰 되기 시작하여 11월 7일까지 관찰되었으며, 2022년에는 5월 17일부터 10월 29일까지 관찰되었다. 시기별 구과 피해율 조사를 위해 잣나무 구과에 4월 초순에 망대를 사전에 설치하고 5월 중순부터 각 시기별로 소나무허리노 린재를 15일 간격으로 접종시켜 가해토록 한 후 제거하여 가해 시기에 따른 종자 피해율을 조사한 결과 잣 구과가 주로 성숙하는 6~7월 경이 잣 종자피해율이 높았으며 7월 하순부터는 종자 피해율이 낮아지는 경향을 보였다.

This study was conducted to calculate the damage of Italian ryegrass (IRG) by abnormal climate using machine learning and present the damage through the map. The IRG data collected 1,384. The climate data was collected from the Korea Meteorological Administration Meteorological data open portal.The machine learning model called xDeepFM was used to detect IRG damage. The damage was calculated using climate data from the Automated Synoptic Observing System (95 sites) by machine learning. The calculation of damage was the difference between the Dry matter yield (DMY)normal and DMYabnormal. The normal climate was set as the 40-year of climate data according to the year of IRG data (1986~2020). The level of abnormal climate was set as a multiple of the standard deviation applying the World Meteorological Organization (WMO) standard. The DMYnormal was ranged from 5,678 to 15,188 kg/ha. The damage of IRG differed according to region and level of abnormal climate with abnormal temperature, precipitation, and wind speed from -1,380 to 1,176, -3 to 2,465, and -830 to 962 kg/ha, respectively. The maximum damage was 1,176 kg/ha when the abnormal temperature was -2 level (+1.04℃), 2,465 kg/ha when the abnormal precipitation was all level and 962 kg/ha when the abnormal wind speed was -2 level (+1.60 ㎧). The damage calculated through the WMO method was presented as an map using QGIS. There was some blank area because there was no climate data. In order to calculate the damage of blank area, it would be possible to use the automatic weather system (AWS), which provides data from more sites than the automated synoptic observing system (ASOS).

Recently, the importance of impact-based forecasting has increased along with the socio-economic impact of severe weather have emerged. As news articles contain unconstructed information closely related to the people’s life, this study developed and evaluated a binary classification algorithm about snowfall damage information by using media articles text mining. We collected news articles during 2009 to 2021 which containing ‘heavy snow’ in its body context and labelled whether each article correspond to specific damage fields such as car accident. To develop a classifier, we proposed a probability-based classifier based on the ratio of the two conditional probabilities, which is defined as I/O Ratio in this study. During the construction process, we also adopted the n-gram approach to consider contextual meaning of each keyword. The accuracy of the classifier was 75%, supporting the possibility of application of news big data to the impact-based forecasting. We expect the performance of the classifier will be improve in the further research as the various training data is accumulated. The result of this study can be readily expanded by applying the same methodology to other disasters in the future. Furthermore, the result of this study can reduce social and economic damage of high impact weather by supporting the establishment of an integrated meteorological decision support system.