• 제목/요약/키워드: U-Forest

검색결과 324건 처리시간 0.029초

양돈분뇨 처리에 따른 수목의 질소저장 및 지상부 바이오매스 추정 (Estimation of Nitrogen Storage Potential and Aboveground Biomass of Tree Species Treated with Liquid Pig Manure)

  • 김현철;여진기;신한나;이헌호
    • 한국산림과학회지
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    • 제100권4호
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    • pp.715-721
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    • 2011
  • 본 연구는 시험림에 양돈분뇨를 처리하여 수목의 지상부 biomass 및 질소저장 능력을 구명하는데 그 목적이 있으며 공시수종은 8개의 포플러(Dorskamp, 72-30, 72-31, Bonghwa1, Eco28, 62-10, Suwon, 97-18) 및 버드나무 클론(131-27) 그리고 기타 4수종(Liriodendron tulipifera L., Metasequoia glyptostroboides Hu and W.C.Cheng, Quercus palustris $M{\ddot{u}}nchh.$, Acer okamotoanum Nakai)이다. 지상부 biomass 구성 비율은 줄기, 가지, 잎의 순으로 높게 나타났으며, 지상부 biomass의 부위별 질소함량은 잎, 가지, 줄기의 순으로 높게 나타났다. 지상부 biomass 생산량은 양돈분뇨 처리구의 모든 수종 및 클론들이 평균 ha당 30 ton, 무처리구가 ha당 16 ton으로 나타나 양돈분뇨 처리구가 높았으며 양돈분뇨 처리구에서 Dorskamp 클론의 지상부 biomass 생산량이 ha당 48.3 ton으로 가장 높았다. 수목의 질소저장 능력은 양돈분뇨 처리구의 모든 수종 및 클론들이 평균 ha당 159 kg, 무처리구가 ha당 90 kg으로 나타나 양돈분뇨를 처리한 수종들의 질소함량이 높게 나타났으며 Dorskamp 클론이 ha당 286.5 kg의 질소를 저장해 가장 높게 나타났다. 따라서 Dorskamp 클론이 양돈분뇨 처리에 적합한 클론으로 나타났지만 양돈분뇨에 대한 내성 및 피해 등에 관한 연구가 지속적으로 필요할 것으로 판단된다.

머신러닝 기반 건강컨설팅 성공여부 예측모형 개발 (Developing a Model for Predicting Success of Machine Learning based Health Consulting)

  • 이상호;송태민
    • 한국IT서비스학회지
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    • 제17권1호
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    • pp.91-103
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    • 2018
  • This study developed a prediction model using machine learning technology and predicted the success of health consulting by using life log data generated through u-Health service. The model index of the Random Forest model was the highest using. As a result of analyzing the Random Forest model, blood pressure was the most influential factor in the success or failure of metabolic syndrome in the subjects of u-Health service, followed by triglycerides, body weight, blood sugar, high cholesterol, and medication appear. muscular, basal metabolic rate and high-density lipoprotein cholesterol were increased; waist circumference, Blood sugar and triglyceride were decreased. Further, biometrics and health behavior improved. After nine months of u-health services, the number of subjects with four or more factors for metabolic syndrome decreased by 28.6%; 3.7% of regular drinkers stopped drinking; 23.2% of subjects who rarely exercised began to exercise twice a week or more; and 20.0% of smokers stopped smoking. If the predictive model developed in this study is linked with CBR, it can be used as case study data of CBR with high probability of success in the prediction model to improve the compliance of the subject and to improve the qualitative effect of counseling for the improvement of the metabolic syndrome.

A Statistical Analysis of JERS L-band SAR Backscatter and Coherence Data for Forest Type Discrimination

  • Zhu Cheng;Myeong Soo-Jeong
    • 대한원격탐사학회지
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    • 제22권1호
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    • pp.25-40
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    • 2006
  • Synthetic aperture radar (SAR) from satellites provides the opportunity to regularly incorporate microwave information into forest classification. Radar backscatter can improve classification accuracy, and SAR interferometry could provide improved thematic information through the use of coherence. This research examined the potential of using multi-temporal JERS-l SAR (L band) backscatter information and interferometry in distinguishing forest classes of mountainous areas in the Northeastern U.S. for future forest mapping and monitoring. Raw image data from a pair of images were processed to produce coherence and backscatter data. To improve the geometric characteristics of both the coherence and the backscatter images, this study used the interferometric techniques. It was necessary to radiometrically correct radar backscatter to account for the effect of topography. This study developed a simplified method of radiometric correction for SAR imagery over the hilly terrain, and compared the forest-type discriminatory powers of the radar backscatter, the multi-temporal backscatter, the coherence, and the backscatter combined with the coherence. Statistical analysis showed that the method of radiometric correction has a substantial potential in separating forest types, and the coherence produced from an interferometric pair of images also showed a potential for distinguishing forest classes even though heavily forested conditions and long time separation of the images had limitations in the ability to get a high quality coherence. The method of combining the backscatter images from two different dates and the coherence in a multivariate approach in identifying forest types showed some potential. However, multi-temporal analysis of the backscatter was inconclusive because leaves were not the primary scatterers of a forest canopy at the L-band wavelengths. Further research in forest classification is suggested using diverse band width SAR imagery and fusing with other imagery source.

Development of Spatial Data Management System to Estimate Regional Evapotranspiration Using a Land Surface Parameterization

  • Kim, Kwang-Soo;Chung, U-Ran
    • 한국농림기상학회:학술대회논문집
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    • 한국농림기상학회 2003년도 춘계 학술발표논문집
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    • pp.58-61
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    • 2003
  • A land surface parameterization has been used to simulate influences of the terrestrial surface on the atmosphere. A simple biosphere model (SiB2), one of land surface parameterization, calculates exchange of radiation, sensible heat, latent heat, and momentum between the surface and the atmosphere (Sellers, et al., 1996).(omitted)

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Water Use Efficiency in Five Different Species of One-year-old Seedlings Grown in a Field Nursery in Mongolia

  • Lee, Don-Koo;Park, Yeong-Dae;Batkhuu, Nyam-Osor
    • 한국제4기학회지
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    • 제17권2호
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    • pp.123-128
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    • 2003
  • This study was conducted to examine the water use efficiency (WUE) in five species of one-year-old seedlings grown in a field nursery in Mongolia. Larix sibirica and Pinus sylvestris are the most dominant coniferous species while Ulmus pumila is an important deciduous species known well-adapted in harsh conditions such as in semi-arid forests and Gobi desert regions. Caragana arborescens (Siberian pea shrub) and Hippophae rhamnoides are N-fixing shrubs in Mongolia. Thirty one-year-old seedlings were sampled from each of the five species (a total of 150 samples) and measured for net photosynthetic rate (Pn) and transpiration rate (E). The Pn and E were used to calculate and compare the WUE of each species. Pn differed significantly among the five species (p < 0.05). However, there was no significant difference in Pn between L. sibirica and H. rhamnoides (p > 0.05). C. arborescens showed the highest Pn whereas U. pumila did the poorest. E differed significantly among the five species (p < 0.05). L. sibirica and U. pumila showed considerably lower E than other species. Thus, WUE values of coniferous species such as L. sibirica and P. sylvestris were significantly greater than deciduous or shrub species such as U. pumila, C. arborescens and H. rhamnoides (p < 0.01). It may result that conifers showed relatively high water use efficiency than deciduous or shrub trees due to their lower transpiration rates, which resulted in morphological and physiological characteristics of their leaves. This may indicate that L. sibirica and P. sylvestris can be widely used for rehabilitation works in Mongolia attributed to their dominant distributions but also their high drought-resistance properties.

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