This study was carried out to investigate the effects of seeding dates on the growth characteristics, dry matter yield and mineral contents of rye cultivated in the paddy field. The field experiment was conceived as a randomized block design performed in triplicate with seeding dates of October 19 (T1), October (T2), November 2 (T3), November 9 (T4), and November 16 (T5). All treatments was harvested on May 22 of the following year. Plant length, stem diameter, dry matter yield, and total digestible nutrient (TDN) yield were higher in rye with early seeding dates (p<0.05), whereas TDN was higher with late seeding dates (p<0.05). There was no significant difference between crude protein and ether extract among the different seeding dates. Neutral detergent fiber (NDF) and acid detergent fiber (ADF) were higher with early seeding dates (p<0.05). K and Ca contents were significantly higher at T1 as compared to other treatments (T2, T3, T4 and T5). There was no significant difference in Mg and Na content among T1, T2, T3, T4 and T5 treatments. P content was higher in the order T1 > T2 > T3 > T4 > T5 (p<0.05). There was no significant difference in free sugar contents (glucose, fructose and sucrose) by treatments, whereas total free sugar content was the highest in T1 than in the other treatments (p<0.05). Collectively, the results obtained in this study indicate that it is favorable to seed (T1 and T2) soon after harvesting rice to increase dry matter, TDN yield and total free sugar content of rye in the midlands of Korea.

This study compared the climatic conditions and fruit quality of the ‘Shiranuhi’ mandarin. This variety is expanding to inland areas due to climate change and global warming. The main producing area of ‘Shiranuhi’ mandarin is Jeju Island. In the inland areas where ‘Shiranuhi’ mandarin is grown, the average temperature is 12.9-13.9℃, which is 3-4℃ lower than the temperature in Seogwipo (16.9℃) on Jeju Island. In these inland areas, there are frequent critical minimum temperatures (below –3℃) in January or February, making the open field temperatures unsuitable for growing ‘Shiranuhi’ mandarins. However, farmers in these areas have managed to mitigate this risk by maintaining an average temperature of 18.3℃ inside plastic houses, which are actively heated from December to March. The earliest full bloom of ‘Shiranuhi’ was recorded in Jindo, Jeollanam-do on April 10. The earliest harvest date was observed in Seogwipo, Jeju on January 9, which indicates the shortest maturity period of 272 days. The cumulative temperature inside the greenhouse was highest in Wanju, Jeollabuk-do at 5,755℃. Buan, Jeollabuk-do (5,517℃) and Seogwipo, Jeju (5,518℃) had nearly identical temperatures. Significant differences in fruit quality were observed between the inland areas and Jeju Island. These differences were observed in fruit length, summit length, firmness, and the CIE b* value of the peel. The climate differences seem to have a greater influence on the factors that determine the fruit shape among the fruit quality characteristics. The yield per tree was higher in Seogwipo, Jeju (38.3kg) compared to the inland areas (30 to 34kg). Inland areas predominantly featured medium to small fruits (251-300g), while Jeju Island had a higher proportion of larger fruits (over 350g).

Nowadays, artificial intelligence model approaches such as machine and deep learning have been widely used to predict variations of water quality in various freshwater bodies. In particular, many researchers have tried to predict the occurrence of cyanobacterial blooms in inland water, which pose a threat to human health and aquatic ecosystems. Therefore, the objective of this study were to: 1) review studies on the application of machine learning models for predicting the occurrence of cyanobacterial blooms and its metabolites and 2) prospect for future study on the prediction of cyanobacteria by machine learning models including deep learning. In this study, a systematic literature search and review were conducted using SCOPUS, which is Elsevier’s abstract and citation database. The key results showed that deep learning models were usually used to predict cyanobacterial cells, while machine learning models focused on predicting cyanobacterial metabolites such as concentrations of microcystin, geosmin, and 2-methylisoborneol (2-MIB) in reservoirs. There was a distinct difference in the use of input variables to predict cyanobacterial cells and metabolites. The application of deep learning models through the construction of big data may be encouraged to build accurate models to predict cyanobacterial metabolites.

This study was conducted with the aim of confirming the impact and relative contribution of extreme weather to dry matter yield (DMY) of silage corn in the central inland region of Korea. The corn data (n=1,812) were obtained from various reports on the new variety of adaptability experiments conducted by the Rural Development Administration from 1978 to 2017. As for the weather variables, mean aerial temperature, accumulated precipitation, maximum wind speed, and sunshine duration, were collected from the Korean Meteorological Administration. The extreme weather was detected by the box plot, the DMY comparison was carried out by the t-test with a 5% significance level, and the relative contribution was estimated by R2 change in multiple regression modeling. The DMY of silage corn was reduced predominantly during the monsoon in summer and autumn, with DMY damage measuring 1,500-2,500 kg/ha and 1,800 kg/ha, respectively. Moreover, the relative contribution of the damage during the monsoons in summer and autumn was 40% and 60%, respectively. Therefore, the impact of autumn monsoon season should be taken into consideration when harvesting silage corn after late August. This study evaluated the effect of extreme weather on the yield damage of silage corn in Korea and estimated the relative contribution of this damage for the first time.

본 연구는 우리나라 곰솔 현실림의 생장특성을 반영한 지위지수곡선을 개발하고자 최근 산림자원조사를 통해 획득한 493 plots의 곰솔 임분 자료를 수집하여 진행되었다. 수고생장모델 개발을 위해 생장추정에 널리 쓰이고 있는 Chapman-Richards, Schumacher, Gompertz 및 Weibull 대수차분방정식을 적용한 결과, 적합도가 가장 높은 Weibull식을 수고 생장모델에 대한 최적합식으로 선정하였으며, 유도곡선법을 이용하여 지위지수 곡선을 개발하였다. 개발된 해안⋅내륙 각각의 곰솔 지위지수 분류곡선을 이용하여 임령에 따른 독립된 두 집단의 우세목 수고생장을 비교 분석한 결과, 임령 50년 이후에서 유의적 차이가 있는 것으로 나타났다(p<0.05). 따라서 본 연구는 변화된 곰솔 현실림의 생장특성을 반영한 지위지수를 통해 지역 간 생장특성 차이를 구명함으로써 지역별 맞춤형 임분관리계획 수립 시 활용가치가 더욱 기대되는 바이다.

우리나라는 3면이 바다로 둘러싸여 있을 뿐만 아니라 국가하천과 지방하천의 연장이 26,843km에 달하고 있어 풍부한 해수면과 내수면이 함께 공존하는 지리적 특징이 있다. 국민소득의 향상 등으로 내수면에서 운항하는 선박이 지속적으로 증가하고 있어 내수면에 서 선박사고 및 인명사고의 위험성도 증가하고 있다. 본 연구에서는 내수면관련 법령조사 및 운영현황 분석을 통하여 거시적인 내수면 선박의 안전관리 대책 방안을 제시하였다. 그 개선방안으로 하드웨어적 인프라로서 사고 초기대응 및 인명구조의 골든타임 확보를 위한 충분한 내수면 소방정의 확보와 내수면 선박 사고예방 전문기관의 운영을 제언하며, 소프트웨어적 인프라로서 내수면 선박의 출항통제기 준 마련과 현행 해수면 선박에만 적용하고 있는 안전진단제도를 기반으로 내수면 선박의 특성에 맞는 맞춤형 제도도입을 제언하였다. 이 러한 내수면 안전관리 정책은 내수면 선박 사고발생 시 신속하고 체계적인 대처 방안 마련에 기여할 것으로 기대되며, 세월호 사건 이후 잠시 활성화 되었던 내수면 선박에 대한 안전관련 연구에 지속적인 관심을 갖는 기회가 되었으면 한다.

우리나라의 수산 양식의 대부분이 이루어지는 연안과 내만에 최근 빈번한 고수온 현상으로 매년 막대한 양식 피해가 발생하고 있다. 2018년~2021년의 최근 4년간의 7월은 이례적인 고수온, 장마, 태풍 등에 의해 1990년 이후 수온의 연별 변동성이 1994년~1997년에 이 어 두 번째로 크게 나타났다. 동·서·남해의 대표적인 고수온 양식피해 우심해역(천수만, 가막만, 구룡포)에 대한 열속과 열수지 분석을 통 해 여름철 천수만과 가막만의 고수온 발생은 주로 대기로부터 해수면을 통한 열유입에 의한 것임을 확인하였다. 벌크식으로 계산한 순열 속과 수온변화로부터 계산한 해양 열 저장률로부터 4년간(2018년~2021년)의 7월 평균 해양 열 수송률을 추산한 결과, 서산 창리는 순열속 의 13.5 %, 여수 신월은 순열속의 62.3 %가 외부로 유출되는 것으로 계산되었다, 구룡포 하정은 순열속의 22.2 %가 평균적으로 외부로 유출 되는 것으로 평가되었으나, 냉수대 발생 유무에 따라 연도별로 해양 열 수송률이 순열속의 -174.5 %에서 132.5 %까지 큰 차이를 보였다.

This study is aimed to analyze fishermen’s perception and the economic feasibility of inland waters ranching project on the branches of Geum River. Analysis of fishermen’s perception on the branches of Geum River showed that fishermen had an affirmative response on the inland freshwater ranching project related issues such as fisheries resources enhancement, necessity of project, economic achievement as so on. The model of inland waters ranching project on the branches of Geum River is designed to fisheries resources enhancement, habitat compositiom, ecology tours, use and management of resources. The results of the economic feasibility of inland waters ranching project on the branches of Geum River were internal rate of return (IRR) was 18.43%, a benefit-cost ratio was shown to be 1.54, net present value (NPV) was 4,929 thousand won, which indicates the economic feasibility of inland waters ranching project.

In this study, dual drainage system based runoff model was established for W-drainage area in G-si, and considering the various rainfall characteristics determined using Huff and Mononobe methods, the degree of flooding in the target area was analyzed and the risk was compared and analyzed through the risk matrix method. As a result, the Monobe method compared to the Huff method was analyzed to be suitable analysis for flooding of recent heavy rain, and the validity of the dynamic risk assessment considering the weight of the occurrence probability as the return period was verified through the risk matrix-based analysis. However, since the definition and estimating criteria of the flood risk matrix proposed in this study are based on the return period for extreme rainfall and the depth of flooding according to the results of applying the dual drainage model, there is a limitation in that it is difficult to consider the main factors which are direct impact on inland flooding such as city maintenance and life protection functions. In the future, if various factors affecting inland flood damage are reflected in addition to the amount of flood damage, the flood risk matrix concept proposed in this study can be used as basic information for preparation and prevention of inland flooding, as well as it is judged that it can be considered as a major evaluation item in the selection of the priority management area for sewage maintenance for countermeasures against inland flooding.

In this study, dual drainage system based runoff model was established for W-drainage area in G-si, and considering the various rainfall characteristics determined using Huff and Mononobe methods, the degree of flooding in the target area was analyzed and the risk was compared and analyzed through the risk matrix method. As a result, the Monobe method compared to the Huff method was analyzed to be suitable analysis for flooding of recent heavy rain, and the validity of the dynamic risk assessment considering the weight of the occurrence probability as the return period was verified through the risk matrix-based analysis. However, since the definition and estimating criteria of the flood risk matrix proposed in this study are based on the return period for extreme rainfall and the depth of flooding according to the results of applying the dual drainage model, there is a limitation in that it is difficult to consider the main factors which are direct impact on inland flooding such as city maintenance and life protection functions. In the future, if various factors affecting inland flood damage are reflected in addition to the amount of flood damage, the flood risk matrix concept proposed in this study can be used as basic information for preparation and prevention of inland flooding, as well as it is judged that it can be considered as a major evaluation item in the selection of the priority management area for sewage maintenance for countermeasures against inland flooding.

The purpose of this paper is to confirm the trend of inland water fish farming in North Korea and to suggest a plan for inter-Korean cooperation. North Korea’s inland water fish farming laid the foundation for production in the 1950s and 1960s, and production facilities were expanded until 1980. In the midst of the severe economic crisis in the 1990s, North Korea paid attention to inland water fish farming as an alternative to food production. The military took the lead in expanding the aquaculture industry and catfish farming was encouraged. In the Kim Jong-un era, North Korea’s inland fish farming continues the tradition of catfish farming and promotes a policy of expanding inland cage farming. This study comprehensively reviewed recent inter-Korean relations, North Korea’s food crisis and acceptability, and UN sanctions. As a result, inland water fish farming is the most promising field for inter-Korean cooperation in the field of fisheries. In the initial stage of inter-Korean cooperation in the field of inland water fish farming, humanitarian aid projects such as feed and seed support can be promoted. In the stage of expanding inter-Korean cooperation, knowledge sharing program and materials and facilities support projects can be promoted. Development cooperation and direct private investment are possible at the full-scale stage.

This study aimed to determine the trend in dry matter yield (DMY) of a new sorghum-sudangrass hybrid (SSH) in the central inland regions of Korea. The metadata (n=388) were collected from various reports of the experiments examining the adaptability of this new variety conducted by the Rural Development Administration (1988–2013). To determine the trend, the parameters of autoregressive (AR) and moving average (MA) were estimated from correlogram of Autocorrelation function (ACF) and partial ACF (PACF) using time series modeling. The results showed that the trend increased slightly year by year. Furthermore, ARIMA (1, 1, 0) was found to be the optimal model to describe the historical trend. This means that the trend in the DMY of the SSH was associated with changes over the past two years but not with changes from three years ago. Although climatic variables, such as temperature, precipitation, and sunshine were also considered as environmental factors for the annual trends, no clear association was observed between DMY and climates. Therefore, more precise processing and detailed definition of climate considering specific growth stages are required to validate this association. In particular, research on the impact of heavy rainfall and typhoons, which are expected to cause damage in the short term, on DMY trends is ongoing, and the model confirmed in this study is expected to play an important role in studying this aspect. Furthermore, we plan to add the environmental factors such as soil and cultivation management as well as climate to our future studies.

In terms of coastal and marine tourism, Busan’s Haeundae had the nation’s representativeness, and is pushing for many kinds of related policies to revitalize the special tourism zone. Due to a drop in the number of beach users, it is inevitable for the Haeundae Special Tourist Zone to face active responses to new trends emerging in the global tourism market. Therefore, the purpose of this study is to present a tourism strategy for making the Suyeong River as a more competitive ourist resource along the zone. First, a language network analysis is conducted through interviews to understand the ideas of interest groups for the river cruise activation project. Second, the frame structure of stakeholders is used to analyze solutions by comparing the similarities and differences in recognition frames of interest groups. Third, we intend to analyze the detailed frame types of stakeholders and present new alternatives based on the structure of relationships between types.

This study was carried out to investigate the growth characteristics, yield, and chemical compositions of winter forage crops cultivated after rice harvest in the central inland region. The experimental design was arranged in a randomized block design with three replications. The treatments consisted of 4 species (Rye, Oat, Triticale and Italian ryegrass), and varieties were “Marton”, “Donghan”, “Shinyoung” and “Kowinnearly”, respectively. As a result, dry matter yield and TDN yield were higher in rye than in the other winter forage crops, and lowest in Oat(p<0.05). Crude protein and crude fat content were significantly higher in Italian ryegrass(p<0.05). However, Crude ash and ADF content did not show significant difference among winter forage crops. NDF content was higher in order of Rye > Triticale > Oat > Italian ryegrass(p<0.05). TDN and total amino acid content (EAA+NEAA) were higher in order of winter forage crop with high crude protein content (Italian ryegrass > Oat > Triticale > Rye). Total mineral content was higher in order of Rye > Triticale > Oat > Italian ryegrass(p<0.05), and total free sugar content was higher in order of Oat > Italian Ryegrass > Triticale > Rye(p<0.05). Compared with the results above, Italian ryegrass and Oat are high in crude protein, TDN, amino acid and free sugar content. Rye and Triticale have the merit that feed value is decreased but high yield(dry matter and TDN yield) can be maintained. Therefore, it is advantageous to grow Rye and Triticale as winter forage crops after rice harvest in the central inland region.

강수는 기상학, 농업, 수문학, 자연재해, 토목 및 건설 등 분야에서 매우 중요한 기상 변수들 중 하나이다. 최근 이러한 강수를 탐지하고, 측정 및 예보를 하기 위해서 위성원격탐사기술은 필수적이다. 따라서 본 연구에서는 미국항공우주국(National Aeronautics and Space Administration, NASA)에서 발사한 전 지구 강수 관측 위성인 GPM 위성을 기반으로 다양한 자료와 합성된 강수 자료인 IMERG 자료의 정확도를 한반도, 특히 남한지역에 대해 지상관측자료와 비교분석 하였다. 기상자동관측 장비인 AWS의 관측 강수량을 검증 자료로 사용하여, 2016년 1월부터 12월까지 1년간의 기간 동안 한반도의 육상부분에 대하여 IMERG의 월 강수량 자료를 비교 검증하였다. 잘 알려진 대로 위성은 해안가와 섬 지역 같은 부분에서 단점이 있지만, 별도로 비교 분석하였다. 위성 자료인 IMERG와 지상 관측 자료인 AWS를 비교한 결과, 상관계수가 0.95로 높은 상관성을 보였으며, Bias, RMSE의 오차 비교에서도 각각 월 15.08 mm, 월 30.32 mm의 낮은 오차를 산출하였다. 해안지역에서도 육상지역과 마찬가지로 0.7 이상의 높은 상관계수를 산출하며, 강수 자료로서 IMERG의 신뢰도를 검증하였다.