• 한국지리정보학회지
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• 제6권4호
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• pp.24-36
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• 2003

본 연구는 유역규모에서의 토양침식위험도를 평가하기 위해서 GIS 및 수정범용토양유실공식(RUSLE)을 활용하였다. 토양유실량 예측공식인 RUSLE 인자를 생성하기 위하여 토지이용도, 지형도, 토양도, 그리고 강수량 등의 자료들을 사용하였고, 최종적으로 grid 기반의 10m 셀의 격자형 데이터로 구축한 RUSLE 인자들의 중첩분석을 통하여 연간 토양유실량을 예측할 수 있었다. 분석결과에 따르면, 대상지의 83.5%는 연간 토양유실량이 1ton/ha 미만으로 비교적 낮은 것으로 나타났으나, 농업지역은 30% 이상이 연간 토양유실량 10ton/ha 이상으로 다른 토지이용에 비해 토양침식위험도가 상대적으로 높은 것으로 평가되었다. 따라서 이들 지역에 대한 철저한 현장조사를 토대로 토양침식의 위험도를 최소화하기 위한 토양보전계획의 수립이 필요하리라 판단된다.

• 대한의생명과학회지
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• 제22권4호
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• pp.199-206
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• 2016

Pesticides are widely used to prevent loss of agricultural production but extensive exposure can induce health problems to pesticide operators. This study was performed to evaluate the health risk of highly produced pesticides used in fruit growing farm land by comparison of estimated exposure level with AOEL using KO-POEM program. AOEL was driven based on NOAEL of each pesticide evaluated by JMPR, EFSA or KRDA. In calculation of exposure level, types of formulation, dilution factors, spraying duration and motor type and exposure protection device were allocated according to actual condition of use. Dermal absorption rate was differently applied among EFSA default values (25% or 75%), general default value (10%) or real test result values to know the plausibility of default values and safety of pesticide to operators in outline. Twenty pesticide ingredients (fungicides and insecticides) were produced more than 30 tons per year, which were mancozeb, chlorothalonil, imidaclopirid and etc in order. Dermal absorption rates obtained from studies were various from 0.07 to 81% but mostly under 10%. The estimated exposure levels showed big differences more than 10 times higher when using EFSA default rate and up to 5 times higher when using general rate of 10% comparing using rates of test results. Mancozeb, chlorthalonil, diazinon and chlorpyrifos presented still higher exposure level than AOEL even when using test absorption rate from study, which suggests that re-evaluation of AOEL or dermal exposure absorption rate or strict management are required for health protection of operators who use those four pesticides in farm land.

• 융합정보논문지
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• 제9권12호
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• pp.133-140
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• 2019

본 연구는 농식품 무역적자 심화의 원인을 환율변동 위험에서 찾고, 최근 환율변동이 급격했던 2009~2013년 구간의 미국의 달러 약세 및 일본의 엔화 약세 현상이 한국 농식품 무역수지에 미치는 영향을 살펴보았다. 그 결과 일본의 양적완화가 실시된 2012년 이후 농식품 수출액이 감소하여 무역적자가 확대되었으며, 2008년 미국의 양적완화 조치로 2009~2011년 한국의 대미 수입액이 급격히 늘어 무역적자가 심화되었다. 장기적인 환율하락은 한국 농식품 수출의 감소와 수입 증가를 야기하여 한국 경제 상황에 악영향을 미치고 있었다. 따라서 정부는 농식품 수입 관리 방안을 마련해야 할 것이며, 생산농가들도 외환손실 방지를 위해 사전에 직접 환율변동 위험을 대비해야 할 것이다. 이를 위해 정부는 콘트롤타워 역할을 통해 새로운 환율변동 정보를 실시간으로 제공하여 무역상대국의 환율 공세에 효과적으로 대처해야 할 것이며, 환율상담과 교육 등 다양한 프로그램을 도입하는 동시에 환위험 관리의 중요성에 관한 홍보를 실시해야 할 것이다.

• 한국환경농학회지
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• 제22권1호
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• pp.70-73
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• 2003

Nitrate contamination in the aquatic systems is the primary indicator of poor agricultural management. The influence of sewage sludge application rates (0, 10, 25, 50 and 100 dry Mg/ha) on distribution of nitrate originating from the sewage sludge in soil profiles was investigated. Soil profile monitoring of nitrate was carried out with a Lakeland clay soil in 1997. Irrespectively of the sewage sludge application rates up to 50 dry Mg/ha, the concentration of $NO_3$-N at the 120 cm depth was below 10 mg/kg and the difference due to the amount of sewage sludge application was negligible at this depth. There was virtually no $NO_3$-N below 120 cm depth and this was confirmed by a deep sampling up to 300 cm depth. Most of the nitrate remained in the surface 60 cm of the soil. Below 120 cm depth nitrate concentration was very low because of the denitrification even at high sewage sludge rate of 100 dry Mg/ha. The $NO_3$-N concentrations in the soil fluctuated over the growing season due to plant uptake and denitrification. The risk of groundwater contamination by nitrate from sewage sludge application up to high rate of 100 dry Mg/ha was very low in a wheat grown clay soil with high water table ( < 3 m).

• Fisheries and Aquatic Sciences
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• 제26권4호
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• pp.294-303
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• 2023

Beside that the fish species and their sub-populations are highly important as a keystone species in the coastal and marine ecosystem, there are very few studies on their presence, distribution and temporal variations within and around the lagoon ecosystems in Albania. This paper provides an updated review on the life cycle, fishery, exploitation state and management of the main species that are subject of commercial fishing in the Karavasta lagoon, southeastern Adriatic coast of Albania. Due to the fact that lagoons represent a continuum between continental and marine aquatic ecosystems they play a crucial role in species life cycles. Further on in the circumstances of rapid utilizations and environmental changes, anomalies in salinity and temperatures, accelerated anthropogenic influences their rate of vulnerability is highly increased. Following the requirements of the Water Framework Directive, transitional water, coastal lagoons and estuaries there is a need for urgent monitoring and management approaches. The commercial species include: European eel (Anguilla anguilla), species of Family Mugilidae (Mugil cephalus, Liza ramada, Liza salienes and Chelon labrosus), Seabream (Sparus aurata), Seabass (Dincentrarchus labrax), etc. Fish productivity is oscillating from maximum value of 61.95 kg/ha is recorded in period of 1975-80 and lower value of 31 kg/ha in year 2020. Our study highlights importance of fish and fishery long-term monitoring, and contributes to understand the driving factors in productivity, migration patterns and species ecology in the vital coastal ecosystems.

• 농촌의학ㆍ지역보건
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• 제35권2호
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• pp.124-133
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• 2010

본 연구는 농촌지역 고등학생 299명을 대상으로 2008년 5월에 구조화된 설문지를 이용하여 정신건강, 우울정도 및 인터넷중독 실태를 파악하고, 제변수간의 관계를 파악하여 청소년 정신건강관리 프로그램을 개발하기 위한 기초자료를 제공하기 위해 실시하였다. 그 결과는 다음과 같다. 첫째, 본 연구 대상자의 정신건강 및 문제행동검사(AMPQ) 결과는 비교적 낮은 문제행동을 나타냈으며, 학교유형별 통계적으로 유의하게 차이가 있게 나온 항목은 외재화 문제와 총문제 행동이었으며, 성별에서 남학생이, 외재화 문제군은 남학생에서 더 문제가 있는 것으로 나왔다. 둘째, 우울정도는 비교적 낮은 점수를 나타냈으며, 잠재적 우울군 5.1%, 고위험 우울군 0.3%이었다. 셋째, 인터넷중독정도는 전체적으로 정상군 96.9%, 잠재적 위험군 1.7%, 고위험군 1.4%이었으며, 제변수간에 통계적으로 유의한 차이는 없었다. 넷째, 대상자의 AMPQ와 우울정도 및 인터넷 중독과는 매우 상관성이 있는 것으로 나왔다. 전반적인 정신건강 문제는 우울정도가 심할수록, 인터넷중독이 심할수록 있는 것으로 나왔다. 이상과 같은 결과에서 청소년 정신건강의 심각성을 인식하고 문제가 발생하기 전에 사전예방하고, 조기에 치료할 수 있는 프로그램의 개발과 제도적 장치 마련이 필요하다. 특히 청소년기 우울증은 성인과 달리 발견이 매우 어려우므로, 가장 중요한 것은 조기 발견하여 적절한 관리 및 치료 방향을 설정하는 것이다.

• 한국산학기술학회논문지
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• 제20권1호
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• pp.52-63
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• 2019

전략분야의 연구들은 일정 수준 이상 성공한 대기업을 대상으로 실증분석을 실시함으로써 제대로 된 성과함의를 도출하지 못할 여지가 있다. 이러한 측면에서 미래 시점에 성공할 기업과 실패할 기업이 현재 시점에 혼재되어 있는 벤처기업을 대상으로 논의의 타당성을 검증함으로써 보다 변별력 있는 연구결과를 획득할 가능성은 높아질 수 있다. 본 연구는 경영전략과 최고경영자의 특성, 그리고 이들 간의 상호작용효과가 기업성과에 미치는 영향에 대한 가설을 제시하고, 387개 벤처기업으로부터 회수된 설문에 근거하여 실증분석을 실시함으로써 전략분야의 논의들이 어떤 타당성을 가지는지를 벤처기업을 대상으로 검증하고자 하였다. 분석결과에 따르면 경영전략 중에서는 기술혁신 차별화 전략이, 최고경영자의 특성 중에서는 혁신성과 장기지향성이 기업성과에 유의한 영향을 미치는 것으로 나타났다. 또한 경영전략과 최고경영자의 특성 간의 상호작용효과의 경우 원가우위 전략과 마케팅 차별화 전략은 위험감수성향, 혁신성, 장기지향성 모두에 대해 유의한 결합효과를 보여주었다. 반면에 기술혁신 차별화 전략은 최고경영자의 특성 중 어느 것과도 유의한 결합효과를 보여주지 않았다. 이를 통해 원가우위 전략과 마케팅 차별화 전략은 기업성과에 단독으로 영향을 미치지 않고 최고경영자의 특성과 결합될 때 영향을 미치는 반면. 기술혁신 차별화 전략은 기업성과에 단독으로 영향을 미치지만 최고경영자의 특성과는 결합효과가 존재하지 않는다는 결론에 도달하였다. 본 연구는 벤처기업의 성과제고를 위해서는 경영전략과 최고경영자의 특성 간에 적합성을 추구하는 것이 중요하다는 사실을 실증분석을 통해 확인했다는 점에서 의의를 가진다.

• The Plant Pathology Journal
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• 제31권4호
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• pp.350-362
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• 2015

A disease forecast model for bacterial grain rot (BGR) of rice, which is caused by Burkholderia glumae, was developed in this study. The model, which was named 'BGRcast', determined daily conduciveness of weather conditions to epidemic development of BGR and forecasted risk of BGR development. All data that were used to develop and validate the BGRcast model were collected from field observations on disease incidence at Naju, Korea during 1998-2004 and 2010. In this study, we have proposed the environmental conduciveness as a measure of conduciveness of weather conditions for population growth of B. glumae and panicle infection in the field. The BGRcast calculated daily environmental conduciveness, $C_i$, based on daily minimum temperature and daily average relative humidity. With regard to the developmental stages of rice plants, the epidemic development of BGR was divided into three phases, i.e., lag, inoculum build-up and infection phases. Daily average of $C_i$ was calculated for the inoculum build-up phase ($C_{inf}$) and the infection phase ($C_{inc}$). The $C_{inc}$ and $C_{inf}$ were considered environmental conduciveness for the periods of inoculum build-up in association with rice plants and panicle infection during the heading stage, respectively. The BGRcast model was able to forecast actual occurrence of BGR at the probability of 71.4% and its false alarm ratio was 47.6%. With the thresholds of $C_{inc}=0.3$ and $C_{inf}=0.5$, the model was able to provide advisories that could be used to make decisions on whether to spray bactericide at the preand post-heading stage.

• Journal of Veterinary Science
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• 제24권3호
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• pp.48.1-48.13
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• 2023

Background: Senecavirus A (SVA), a member of the family Picornaviridae, is newly discovered, which causes vesicular lesions, lameness in swine, and even death in neonatal piglets. SVA has rapidly spread worldwide in recent years, especially in Asia. Objectives: We conducted a global meta-analysis and systematic review to determine the status of SVA infection in pigs. Methods: Through PubMed, VIP Chinese Journals Database, China National Knowledge Infrastructure, and Wanfang Data search data from 2014 to July 26, 2020, a total of 34 articles were included in this analysis based on our inclusion criteria. We estimated the pooled prevalence of SVA in pigs by the random effects model. A risk of bias assessment of the studies and subgroup analysis to explain heterogeneity was undertaken. Results: We estimated the SVA prevalence to be 15.90% (1,564/9,839; 95% confidence interval [CI], 44.75-65.89) globally. The prevalence decreased to 11.06% (945/8,542; 95% CI, 28.25-50.64) after 2016. The highest SVA prevalence with the VP1-based RT-PCR and immunohistochemistry assay was 58.52% (594/1,015; 95% CI, 59.90-83.96) and 85.54% (71/83; 95% CI, 76.68-100.00), respectively. Besides, the SVA prevalence in piglet herds was the highest at 71.69% (119/166; 95% CI, 68.61-98.43) (p < 0.05). Moreover, our analysis confirmed that the subgroups, including country, sampling year, sampling position, detected gene, detection method, season, age, and climate, could be the heterogeneous factors associated with SVA prevalence. Conclusions: The results indicated that SVA widely exists in various countries currently. Therefore, more prevention and control policies should be proposed to enhance the management of pig farms and improve breeding conditions and the environment to reduce the spread of SVA.

• 국제학술발표논문집
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• The 10th International Conference on Construction Engineering and Project Management
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• pp.1295-1295
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• 2024

As extreme weather events such as heavy snowfall and typhoon become more frequent, climate change significantly impacts across various worldwide industries. With demands for dealing with this phenomenon, continuous achievements in safety diagnosis have been announced for large structures. Conversely, in agricultural infrastructures having lower risk to human life, there is lack of established safety diagnosis methods. However, considering expansion of high-value smart farm, the importance of plastic greenhouse cannot be overlooked. Therefore, this study aimed to develop on-site diagnosis technique for structural safety of steel structure greenhouse. To build an analysis model, we generated point cloud data of on-site greenhouse using a camera with LiDAR sensor. Subsequently, we extracted points corresponding to pipes using a pre-trained semantic segmentation model, achieving a pipe segmentation accuracy of 78.1%. These points were then converted into 3D frame model, with a location coordinate error of 5.4 cm for nine reference points, as measured by an on-site survey. In FEM structural analysis, nonlinearity of pipe connection was reflected. The loads were determined based on expected wind speed and snow depth in Korea. The structural safety of on-site model was diagnosed more vulnerable with 10.3% higher maximum axial stress, compared with standard model. Through this research, we expect the quantitative safety diagnosis of predicting greenhouse collapse risk. In addition, this technique will enable localized reinforcement strategies within the structure.