• Title/Summary/Keyword: 남해 지역

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Distribution of Agamermis unka (Nematoda: Mermithidae), a Mermithid Parasite of Brown Planthopper (Nilapawata lugens) in Korean Rice Paddies (우리나라 벼논에서 벼멸구선충(Agamermis unka)의 분포)

  • 이동운;조성래;추호렬;김형환
    • Korean journal of applied entomology
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    • v.41 no.2
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    • pp.129-136
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    • 2002
  • Agamermis unka, a mermithid parasite of brown planthopper (BPH), Nilaparvata lugens, is the most important natural enemy of BPH and white-backed planthopper (WBPH), Sogatella furcifera in Korea. Distribution of A. unka was investigated in Korean rice fields from 1992 to 1998 and in 2001. Overwintering population of A. unka in Gosung, Namhae, and Tongyoung from 1992 to 1998 was different depending on locality and year. In the survey of A. tanka distribution in the spring of 2001, A. unka was found only at Jangheung and Haenam in Jeonnam province and Namhae, Jinju, Sancheong, Sacheon, Gosung, Tongyoung, Uiryeong, Changwon, Gimhae, and the experimental field of Gyeongsangnamdo Agricultural Research and Extension Services at Jinju in Gyeongnam province out of 30 observed regions in 5 provinces. The number of A. unka was 1,045/㎥ at Namhae, 947/㎥ at the experimental field of Gyeongsangnamdo Agricultural Research and Extension Services, and 395/㎥ at Gosung. Density of A. unka at the rice paddies of Gyeongnam province after harvest in 2001 was higher at the rice fields of Namhae, Gosung, and the experimental field of Gyeongsangnamdo Agricultural Research and Extension Services. Although density of A. unka was higher in the pesticide-untreated plots than fungicide-treated or insecticide-treated plots of forecasting paddies, there were no significant differences. After rice harvest A. unka was found from the forecasting paddies of Gosung, Jinju, Namhae and Sacheon out of 19 observed localities in Gyeongnam province.

Determination of Design Waves along the South Coast of Korea (한국남해만에서의 설계파의 결정)

  • 김태인;최한규
    • Water for future
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    • v.21 no.4
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    • pp.389-397
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    • 1988
  • For determination of the design wves at the seven selected sites in the South Sea, a method of hindcasting the past annual largest significant waves from the records of both the wind speed at the nearby weather stations and the weather charts of typhoons are utilized. The design significant waves in deep water are determined through the extremal probability analysis for three major wave directions(SW, S, SE) at each site from the annual extremal series of wave heights. Design significant wave heights with the return period of 100 years ranged between 4.6m and 8.8m with the wave period ranging between 8.2 seconds and 12.9 seconds. Through the analysis of weather maps, both the fetches for the wind directions SW-SE along the South Coast and the relationship between the wind speed at sea and the wind speed at the nearby land weather stations for seasonal winds are determined. The wind speed at sea are found to be 0.8-0.9 times the wind speed at the land stations for $U_1$>15m/s. The ratio of the duration-averaged wind speed to the maximum wind speed varies between 0.7-0.9 as a negative exponential function for the duration ranging 2< t< 13 hours.

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Proposal for Wind Wave Damage Cost Estimation at the Southern Coastal Zone based on Disaster Statistics (재해통계기반 남해연안지역 풍랑피해액예측함수 제안)

  • Choo, Tai-Ho;Yun, Gwan-Seon;Kwon, Yong-Been;Park, Sang-Jin;Kim, Seong-Ryul
    • The Journal of the Korea Contents Association
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    • v.17 no.4
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    • pp.267-274
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    • 2017
  • The natural disasters such as typhoon, earthquake, flood, heavy rain, drought, sweltering heat, wind wave, tsunami and so on, are difficult to estimate the scale of damage and spot. Also, these disasters were being damaged to human life. However, if based on the disaster statistics the past damage cases are analyzed and the estimated damages can be calculated, the initial damage action can be taken immediately and based on the estimated damage scale the damage can be mitigated. In the present study, therefore, we proposed the functions of wind wave damage estimation for the southern coast. The functions are developed based on Disaster Report('91~'14) for wind wave and typhoon disaster statistics, regional characteristics and observed sea weather.

Selection of Forage Soybean Cultivars in Jeju Region (제주지역에서 사료용 콩의 우량품종 선발)

  • 조남기;윤상태;강형식;조영일
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.23 no.4
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    • pp.299-306
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    • 2003
  • This study was carried out to select superior soybean cultivars for forage production for soybean forage production in Jeju. The results obtained are summarized as follows; Eighteen soybean cultivars were grown from May 11 to September 11 in 2002 in Jeju to select superior cultivars for forage production. Days to flowering was shortest(58 days) for Seokryangkong and Keunolkong, and longest(93 days) for Danpaheukdu. Days to flowering for other cultivars ranged from 65 to 69 days. Pureunkong and Namhaekong had greater heights(129.3 and 124.6 cm, respectively) while Keunolkong, Hwaeomkong and Seokryangkong had shorter heights. The number of branches per plant was gratest for Sobaekkong, Manrikong, Pungsankong, Kwangankong and Geumgangkong. The number of leaves per plant was geatest for Sobaekkong, Iksankong and Namhaekong. Rueunkong and Jangmikong had thicker stems. Fresh forage yield was greatest for Iksankong, Sobaekkong and Namhaekong(39.5, 39.3 md 38.0 MT/ha respectively). DM yield of forage was featest for Baekunkong, Hnrunkong and Danpaheukdu. Danwonkong, Dawonkong, Seokryanfong and Pungsankong had ueatest forage crude protein content. Duyukong and Kwangankong had featest forage crude fiber content. Jangmikong and Keunolkong had feater crude fat content, while Sobaekkong and Kwangankong had greater crude ash content. Namhaekong, Seokryangkong, Keunolkong and Jinpumkong had greater NFE contents ranging 40.0 to 43.5 and TDN was featest in Keunolkong, Danpaheukdu, Namhaekong and Seokryangkong had greater NFE contents ranging from 59.8 to 60.9%. The best cultivars in Jeju for forage soybean appear to be Namhaekong, Danpaheukdu md Baehukong on the basis of crude protein, TDN, and dry matter yields.

A Study on Village Names of Youngnam Provinces : the Cases of Changnyeong-Gun, Bonghwa-Gun and Namhae-Gun (영남지방 지명에 관한 연구 -창녕군, 봉화군, 남해군의 경우-)

  • Park, Tae-Hwa
    • Journal of the Korean association of regional geographers
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    • v.5 no.1
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    • pp.1-24
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    • 1999
  • This is a study on village names in a plain region of Changnyeong-Gun, a mountain region of Bonghwa-Gun and an island region of Namhae-Gun. The three regions differ in geographical features. The data are based on 455 village names in Changnyeong-Gun, 552 village names in Bonghwa-Gun and 275 village names in Namhae-Gun found in the 1 : 50,000 topographic map. The method of this study is to analyze the word structures of village names in the five basic concepts in geography : Man-Land(Natural Environment and Human Activities). Spatial Relation, Distribution, Region and Transition. The main results of this study are as follows: 1. Naming of villages are related to Natural Environment(41%), Human Activities(23%), Region(17%), Spatial Relation(13%), Distribution(5%), and Transition(3%). Of these six factors, Changnyeong-Gun is relatively dominant in village names related to Spatial Relations, Region and Transition ; Bonghwa-Gun Natural Environment and Namhae-Gun Human Activities and Spatial Relations. But the three Guns are absolutely dominant in village names related to Natural Environment and Human Activities. 2. A village name is divided into the specific name part(given name) and the generic name part(classified name). Names related to Human Activities, Spatial Relations, Distribution and Transition are more frequently found in the specific name part. Therefore, they are used as the given name of a village name. Whereas names related to Natural Environment and Region are more frequently found in generic name part, which means that they are used as the classified name of a village. 3. The word structure of a village name usually has two parts a frontal part(given name) and a rear part(classified name). The two parts have a particular pattern in the geographic concept when they are combined. 1) In the village names related to in their frontal part of the word structure, is more frequently combined as their rear part in Bonghwa-Gun, in Namhae-Gun and in Changnyeong-Gun. 2) In the village names related to in their frontal part of the word structure, is more frequently combined as their rear part in Changnyeong-Gun, in Namhae-Gun and in Bonghwa-Gun. Accordingly, Man(Human Activities) - Land (Natural Environment) can be considered the most important concept in the naming of villages, because the concept is most frequently used in the word structures of village names.

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Assessment of Teleconnection based Long-Range Flood Risk Prediction during different El Ni?o phases: A Case Study of Gyeongnam (원격상관기반 엘니뇨 시기별 홍수위험 장기예측 평가: 경남지자체 대상)

  • Yoon, Sun-Kwon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2016.05a
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    • pp.91-91
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    • 2016
  • 본 연구는 대규모 대기환경패턴 변화에 따른 극한 기후발생 및 극치 수문사상의 지역적 변동 특성을 분석하였고, 통계기법을 이용한 기후지수와 수문변량간의 원격상관관계 분석결과를 이용하여 한반도 중 장기 수문변량 예측의 가능성을 진단하였다. 또한 경남 지자체를 대상으로 다양한 통계예측모형(AR, MA, ARMA, ARIMA, VAR)을 구축하여 그 예측능력을 평가하고 적용성을 검토하였고, 중 장기 통합홍수위험 평가를 위한 인덱스를 개발하였다. 서로 다른 엘니뇨 시기별 홍수 위험도 평가결과 전형적인 엘니뇨(Cold Tongue El Nino)해에는 남해안 일부 지역(거제시, 남해군)에서 위험도가 높게 산정되었으며, 경남 북부지역에서는 위험도가 매우 낮게 산정되었다. 중앙태평양 엘니뇨(Warm Pool El Nino) 해에는 경남 남부 지역을 중심으로 홍수위험지수가 높게 나타나 중앙태평양 엘니뇨가 발달 시 경남지역의 홍수위험 발생 가능성 평년에 비하여 큰 것으로 분석된다. 또한 라니냐(La Nina) 해에는 경남 서쪽일부 지역(남해군, 하동군, 산청군)에서 통합홍수위험지수가 높게 나타났으며, 나머지 지역에서는 홍수위험도가 작거나 중간 값을 보이는 것으로 분석되었다. 본 연구는 중 장기적 관점에서 수자원 예측 및 효율적인 물 관리와 안정적인 용수공급에 도움을 줄 것으로 사료되며, 한반도 대상 특정 엘니뇨 해의 지자체별 홍수위험 취약성 평가에 활용이 가능할 것이다.

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