• Title/Summary/Keyword: 기후지대

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Overseas Protected Horticulture (Japan, Israel) Analysis of Present Situation and Possibility for Introduction (해외 시설원예 현황 분석과 도입가능성(일본, 이스라엘))

  • 권영삼
    • Journal of Bio-Environment Control
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    • v.2 no.1
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    • pp.58-64
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    • 1993
  • 일본은 기후적으로 아열대와 온대에 걸친 아시아 Monsoon지대에 속하고 있는 삼면이 바다로 둘러싸여 기후조건의 특성은 강우량이 평균 2,000mm로 상당히 많고 기온도 북해도와 본주, 구주지방간에 상당한 차이가 있음.(중략)

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Determination of Safe Cropping Season in Direct- Seeding of Rice on Flooded Paddy by Using Effective Temperatures in Agroclimatic Zones (농업기후지대별 작물생육 유효기온 출현특성에 따른 벼 담수직파 안전작기 설정)

  • Shim Kyo-Moon;Lee Jeong-Taek;Yun Seong-Ho;Choi Don-Hyang
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.1 no.1
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    • pp.72-80
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    • 1999
  • The study was conducted to establish the safe cropping season for direct- seeding on flooded paddy by the analysis of meteorological data(l973~1992, 20 years) from Korea Meteorological Administration. The critical date for early seeding(CDES) at direct- seeding culture on flooded paddy was decided by the appearance date of daily mean air temperature(DMAT) of 15$^{\circ}C$. The optimum heading date(OHD) was the first day when 22$^{\circ}C$ of daily mean air temperature could be kept for 40 days of ripening period after heading, and the critical date of late heading for safe ripening(CDHR) was the last day when 19$^{\circ}C$ of daily mean air temperature could be kept for 40 days after heading. The optimum seeding date(OSD) and the critical date for late seeding(CDLS) could be decided by the accumulated temperature from OHD and CDHR to the appearance dates of necessary temperatures for early, intermediate, and intermediately late maturing varieties. This results can be used for the determination of the safe cropping season of direct-seeding on flooded paddy in each agroclimatic zone. For instance, the OSD appearance date for early maturing variety in Suwon region appeared to be May 11~20 and the CDLS appearance date was May 31~June 7.

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The Differences of Rice Growth and Yield at Various Agroclimatic Regions in Chungnam Province (충남지역 농업기후 지대별 벼 생육 및 수량 변이)

  • Choi, N.G.;Park, J.H.
    • Journal of Practical Agriculture & Fisheries Research
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    • v.20 no.1
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    • pp.163-174
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    • 2018
  • Rice cultivation is immensely affected by many climatic factors including temperature, precipitation, etc, and imbalanced climatic conditions negatively affect the growth of rice. In this study, we investigated the effects of different agroclimatic zones of Chungnam Province on rice quality and examined the correlations between climatic characteristics and rice yield components. Average temperatures and rainfall were higher in 'Western Sobaek Inland' than those in the 'South Western coastal zone, and precipitation records showed a wide variation among counties due to typhoons during the examined periods. The average accumulative temperature affecting the magnitude of production during reproductive growth periods was higher in "Cheon-An", "Gong-Ju", "Yeon-Gi (Se-Jong)", "Bo-Ryeong", and "Dang-Jin" counties than those in other counties. The plant height was higher in 'Western Sobaek Inland' counties such as "Yeon-Gi(Se-Jong)" and "Cheon-An", and 'Southern Charyeong Plain' counties such as "Cheong-Yang", "Dang-Jin", and "A-San", than those in other counties. The number of tillers during the 40 days after rice transplantation in "Seo-Cheon" and "Bo-Ryeong" counties increased compared to other counties. This result was relevant to the fact that the date of rice transplantation in those counties was 3 to 4 days later than those in other counties of Chung-Nam Province. The average yield (milled rice basis) was the highest in 'Western Sobaek Inland' zone, showing 3,756 kg ha-1, followed by 'Southern Charyeong Plain' zone showing 3,621kg ha-1, and was the lowest in 'South Western coastal zone by 3,315kg ha-1. "Yeon-Gi(Se-Jong)" and "Dang-Jin" counties showed the highest yields of 4,100kg ha-1. "Seo-San", "Seo-Cheon", and "Tae-An" counties were relatively lower yields of 3,240~3,280kg ha-1 in comparison of other counties.

Estimation of Regional Water Balance in Various Climate Change Scenarios (기후변화 시나리오에 따른 지역 물수지 추정)

  • 김만규
    • The Korean Journal of Quaternary Research
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    • v.13 no.1
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    • pp.53-65
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    • 1999
  • It is only possible by Physical based Water Balance Models such as $BROOK_{TOP}$ developed by me to estimate regional water balances caused by changes of regional ecosystem, which result in climate change, change of vegetation due to climate change, artificial landuse change, etc. This study estimates regional water balances of mid-north agricultural and forest regions in Germany using $BROOK_{TOP}$-Water Balance Model with climate change scenarios developed by PIK in Germany and GCM Scenarios developed by Praha University in Czech. Developing Water Resource Change Estimation System such as this study for global warming with considering climate, surface and underground conditions provides the basis of system development for surface-, groundwater-, cultivation-, ecosystem-, natural emergency-management, landuse and regional planing.

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Predicting Potential Epidemics of Rice Leaf Blast Disease Using Climate Scenarios from the Best Global Climate Model Selected for Individual Agro-Climatic Zones in Korea (국내 농업기후지대 별 최적기후모형 선정을 통한 미래 벼 도열병 발생 위험도 예측)

  • Lee, Seongkyu;Kim, Kwang-Hyung
    • Journal of Climate Change Research
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    • v.9 no.2
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    • pp.133-142
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    • 2018
  • Climate change will affect not only the crop productivity but also the pattern of rice disease epidemics in Korea. Impact assessments for the climate change are conducted using various climate change scenarios from many global climate models (GCM), such as a scenario from a best GCM or scenarios from multiple GCMs, or a combination of both. Here, we evaluated the feasibility of using a climate change scenario from the best GCM for the impact assessment on the potential epidemics of a rice leaf blast disease in Korea, in comparison to a multi?model ensemble (MME) scenario from multiple GCMs. For this, this study involves analyses of disease simulation using an epidemiological model, EPIRICE?LB, which was validated for Korean rice paddy fields. We then assessed likely changes in disease epidemics using the best GCM selected for individual agro?climatic zones and MME scenarios constructed by running 11 GCMs. As a result, the simulated incidence of leaf blast epidemics gradually decreased over the future periods both from the best GCM and MME. The results from this study emphasized that the best GCM selection approach resulted in comparable performance to the MME approach for the climate change impact assessment on rice leaf blast epidemic in Korea.