• 제목/요약/키워드: Vegetation models

검색결과 209건 처리시간 0.023초

식생냉각효과 적용을 통한 BioCAS의 폭염기간 일 최고기온 추정 개선 - 서울 및 수도권지역을 중심으로 - (Improvement of Vegetation Cooling Effects in BioCAS for Better Estimation of Daily Maximum Temperature during Heat Waves - In Case of the Seoul Metropolitan Area -)

  • 이한경;이채연;김규랑;조창범
    • 대기
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    • 제29권2호
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    • pp.131-147
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    • 2019
  • On the urban scale, Micro-climate analysis models for urban scale have been developed to investigate the atmospheric characteristics in urban surface in detail and to predict the micro-climate change due to the changes in urban structure. BioCAS (Biometeorological Climate Impact Assessment System) is a system that combines such analysis models and has been implemented internally in the Korea Meteorological Administration. One of role in this system is the analysis of the health impact by heat waves in urban area. In this study, the vegetation cooling models A and B were developed and linked with BioCAS and evaluated by the temperature drop at the vegetation areas during ten selected heat-wave days. Smaller prediction errors were found as a result of applying the vegetation cooling models to the heat-wave days. In addition, it was found that the effects of the vegetation cooling models produced different results according to the distribution of vegetation area in land cover near each observation site - the improvement of the model performance on temperature analysis was different according to land use at each location. The model A was better fitted where the surrounding vegetation ratio was 50% or more, whereas the model B was better where the vegetation ratio was less than 50% (higher building and impervious areas). Through this study, it should be possible to select an appropriate vegetation cooling model according to its fraction coverage so that the temperature analysis around built-up areas would be improved.

하천유형별 식생모델의 홍수위 분석 (Flood Stage Analysis on Vegetated Patterns with River Sites)

  • 이종석;송중근
    • 한국콘텐츠학회논문지
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    • 제10권11호
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    • pp.452-460
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    • 2010
  • 본 연구는 하천유형별 식생모델의 계획 홍수위에 대한 1차원 HEC-RAS 및 2차원 RMA-2 수치모형을 이용하여 홍수위 안정성 검토를 수행하였다. 식생모델은 하천을 흐르는 수로구간이 사회 문화적으로 위치하는 중요도에 따라 도시 농촌 산지하천으로 구분해 구축하였다. 수치모형에 의한 홍수위 검토결과는 대상하천의 식생 전 홍수위는 각 하천의 계획홍수위와 비슷한 양상을 보였다. 또한 식생밀도를 변화시킨 도시하천의 경우는 식생밀도 25% 추가 시 홍수위 상승량은 약 0.20m 정도이나 제방월류는 나타나지 않았다. 농촌 및 산지하천의 경우에는 홍수위 상승량 변화가 거의 없는 것으로 나타났다.

Utilizing Concept of Vegetation Freeboard Equivalence in River Restoration

  • Lee, Jong-Seok;Julien, Pierre Y.
    • International Journal of Contents
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    • 제8권3호
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    • pp.34-41
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    • 2012
  • The concept of vegetation freeboard equivalence (VFE) is presented from the comparison between the rise in stage with/without vegetation and the freeboard height under design discharge conditions. In South Korea, the freeboard height of large, medium and small rivers is defined as a function of river discharge. Two models are used for this analysis of flood stage with and without vegetation: the 1-D model HEC-RAS and the 2-D model RMA-2. Both models are applied to three river study sites of the Geum River in South Korea as representative sites for a large, a medium and a small river. The analysis shows that without vegetation, both models provide comparable results and the calculated results are in very good agreement with the design configuration. The vegetation effects on the medium river are less significant, and the freeboard is adequate to contain the rise in stage from the added floodplain vegetation in large rivers. The concept of vegetation freeboard equivalence is therefore useful for the analysis of flood river stages after the restoration of channels with increased floodplain vegetation.

관리조방형 옥상녹화의 식재모델별 표면온도 모니터링 (Temperature Monitoring of Vegetation Models for the Extensive Green Roof)

  • 윤희정;장성완;이은희
    • KIEAE Journal
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    • 제13권5호
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    • pp.89-96
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    • 2013
  • Green roofs can reduce surface water runoff, provide a habitat for wildlife moderate the urban heat island effect, improve building insulation and energy efficiency, improve the air quality, create aesthetic and amenity value, and preserve the roof's waterproofing. Green roofs are mainly divided into three types : intensive, simple-intensive, and extensive. Especially, extensive roof environment is a harsh one for plant growth; limited water availability, wide temperature fluctuations, high exposure to wind and solar radiation create highly stressed environment. This study, aimed at extensive green roof, was carried out on the rooftop of the library at Seoul Women's Univ. from October to November, 2012 and from March to August, 2013. To suggest the most effective vegetation model for biodiversity and heat island mitigation, surface temperatures were monitored by each vegetation model. We found that herbaceous plants of Aster sphathulifolius, Aceriphyllum rossii and Belamcanda chinensis, shrub of Syringa patula 'Miss Kim', Thymus quinquecostatus var. japonica, Sedum species can mixing each other. Among them, the vegetation models including Sedum takesimense, Aster sphathulifolius, Thymus quinquecostatus var. japonica was more effective on the surface temperature mitigation, because the species have the tolerance and high ratio of covering, and also in water. Especially, in the treatment of bark mulching, they helped to increase the temperature of vegetation models. In the case of summer, temperature mitigation of vegetation models were no significant difference among vegetation types. Compared to surface temperature of June, July and August were apparent impact of temperature mitigation, it shows that temperature mitigation are strongly influenced by substrate water content.

개발사업에 따른 산림식생 영향평가모형 개발 및 적용 (Development and Application of Impact Assessment Model of Forest Vegetation by Land Developments)

  • 이동근;김은영
    • 한국환경복원기술학회지
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    • 제12권6호
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    • pp.123-130
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    • 2009
  • Fragmentation due to land developments causes disturbances and changes of composition in forest vegetation. The purpose of the study was to develop the impact assessment model for quantitative distance or degree of disturbance by land developments. This study conducted a survey about structure and composition of forest vegetation to determine degree of impact from land developments. The results of field survey, there was a difference in structure and composition of forest vegetation such as tree canopy, herbaceous cover, and number of vine and alien species the distances from edge to interior area such as 0m, 10m, 20m, 40m, and over 60m. To assess the disturbance of forest vegetation, the factors selected were the rate of vine's cover and appearance of alien species. The impact assessment model about vine species explained by a distance, forest patch size, type of forest fragmentation, and type of vegetation ($R^2$=0.44, p<0.001). The other model about alien species explained by a distance, type of forest fragmentation, type of vegetation, and width of road (85.9%, p<0.005). The models applied to Samsong housing development in Goyang-si, Gyunggi-do. The vines and alien species in the study area have had a substantial impact on forest vegetation from edge to 20 or 40m. The impact assessment models were high reliability for estimating impacts to land developments. The impact of forest vegetation by development activities could be minimized thorough the adoption of the models introduced at the stage of EIA.

식생 모니터링을 위한 다중 위성영상의 시공간 융합 모델 비교 (Comparison of Spatio-temporal Fusion Models of Multiple Satellite Images for Vegetation Monitoring)

  • 김예슬;박노욱
    • 대한원격탐사학회지
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    • 제35권6_3호
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    • pp.1209-1219
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    • 2019
  • 지속적인 식생 모니터링을 위해서는 다중 위성자료의 시간 및 공간해상도의 상호 보완적 특성을 융합한 높은 시공간해상도에서의 식생지수 생성이 필요하다. 이 연구에서는 식생 모니터링에서 다중 위성자료의 시공간 융합 모델에 따른 시계열 변화 정보의 예측 정확도를 정성적, 정량적으로 분석하였다. 융합 모델로는 식생 모니터링 연구에 많이 적용되었던 Spatial and Temporal Adaptive Reflectance Fusion Model(STARFM)과 Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model(ESTARFM)을 비교하였다. 예측 정확도의 정량적 평가를 위해 시간해상도가 높은 MODIS 자료를 이용해 모의자료를 생성하고, 이를 입력자료로 사용하였다. 실험 결과, ESTARFM에서 시계열 변화 정보에 대한 예측 정확성이 STARFM보다 높은 것으로 나타났다. 그러나 예측시기와 다중 위성자료의 동시 획득시기의 차이가 커질수록 STARFM과 ESTARFM 모두 예측 정확성이 저하되었다. 이러한 결과는 예측 정확성을 향상시키기 위해서는 예측시기와 가까운 시기의 다중 위성자료를 이용해야 함을 의미한다. 광학영상의 제한적 이용을 고려한다면, 식생 모니터링을 위해 이 연구의 제안점을 반영한 개선된 시공간 융합 모델 개발이 필요하다.

수심의 제한을 받는 침수식생 개수로의 평균흐름 예측모형 개발 (Development of Mean Flow Model for Depth-Limited Vegetated Open-Channel Flows)

  • 양원준;최성욱
    • 한국수자원학회논문집
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    • 제43권9호
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    • pp.823-833
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    • 2010
  • 침수식생 개수로 흐름은 식생영역과 상부영역에 서로 다른 흐름구조를 보인다. 즉, 식생영역에서 전단으로 인해 생성되는 난류는 억제되며 비교적 균일한 유속 분포를 보이며 상부영역에서는 일반 개수로 흐름과 유사한 흐름구조를 보인다. 이와 같이 두 상이한흐름구조가 결합된 복잡한 흐름특성으로 인해 침수식생 개수로흐름은 공학적인 관심의 대상이 되어왔다. 본 연구에서는 침수식생 개수로 흐름의 층적분 모형의 비교 분석을 수행하였다. 일반적으로 식생흐름의 층적분 모형은 층의 수에 따라 2층 및 3층모형으로 구분한다. 즉, 전체 수심을 식생영역과 상부영역으로 구분하는 2층모형과 식생영역을 바닥 조도의 영향 유무에 따라 내부 및 외부 식생영역으로 구분하는 3층모형으로 분류된다. 본 연구에서는 2층모형과 3층모형을 비교하였다. 다양한 실험조건에 적용한 결과, 3층모형이 식생영역에서 유속의 변화를 고려할 수 있으나 결과는 레이놀즈응력 분포에 민감하며, 적분된 유속은 2층모형에 의한 예측 결과가 더욱 정확한 것으로 나타났다. 3층모형에서 내부 식생영역의 결과가 전체 흐름구조에 미치는 영향이 무시할 수 있으므로 이 점을 착안하여 식생영역에서 유속 변화가 고려되는 수정 2층모형을 제시하였다. 수정 2층모형에서 가정하는 레이놀즈응력 분포는 상부영역에서는 선형, 식생영역에서는 멱함수 형으로 변화한다. 다양한 조건에 적용한 결과, 수정 2층모형이 대체로 기존의 모형과 비슷한 정도의 예측을 수행하나 식생밀도가 매우 작은 흐름의 경우 예측 결과가 불량한 것으로 나타났다.

Comparing LAI Estimates of Corn and Soybean from Vegetation Indices of Multi-resolution Satellite Images

  • Kim, Sun-Hwa;Hong, Suk Young;Sudduth, Kenneth A.;Kim, Yihyun;Lee, Kyungdo
    • 대한원격탐사학회지
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    • 제28권6호
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    • pp.597-609
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    • 2012
  • Leaf area index (LAI) is important in explaining the ability of the crop to intercept solar energy for biomass production and in understanding the impact of crop management practices. This paper describes a procedure for estimating LAI as a function of image-derived vegetation indices from temporal series of IKONOS, Landsat TM, and MODIS satellite images using empirical models and demonstrates its use with data collected at Missouri field sites. LAI data were obtained several times during the 2002 growing season at monitoring sites established in two central Missouri experimental fields, one planted to soybean (Glycine max L.) and the other planted to corn (Zea mays L.). Satellite images at varying spatial and spectral resolutions were acquired and the data were extracted to calculate normalized difference vegetation index (NDVI) after geometric and atmospheric correction. Linear, exponential, and expolinear models were developed to relate temporal NDVI to measured LAI data. Models using IKONOS NDVI estimated LAI of both soybean and corn better than those using Landsat TM or MODIS NDVI. Expolinear models provided more accurate results than linear or exponential models.

하천의 지형학적 인자와 식생종수의 관계 -한강수계를 중심으로- (Relationship between Stream Geomophological Factors and the Vegetation Abundance - With a Special Reference to the Han River System -)

  • 이광우;김태균;심우경
    • 한국조경학회지
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    • 제30권3호
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    • pp.73-85
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    • 2002
  • The purpose of this study was to develop prediction models for plant species abundance by stream restoration. Generally the stream plant is affected by stream gemophology. So in this study, the relationship between the vegetation abundance and stream gemophology was developed by multiple regression analysis. The stream characteristics utilized in this study were longitudinal slope, transectional slope, micro-landforms through the longitudinal direction, riparian width and geometric mean diameter and biggest diameter of bed material, and cumulated coarse and fine sand weight portion. The Pyungchang River with mountainous watershed and the Kyungan stream and the Bokha stream in the agricultural region were selected and vegetation species abundance and stream characteristics were documented from the site at 2~3km intervals from the upper stream to the lower. The Models for predicting the vegetation abundance were developed by multiple regression analysis using SPSS statistics package. The linear relationship between the dependant(species abundance) and independant(stream characteristics) variables was tested by a graphical method. Longitudinal and transectional slope had a nonlinear relationship with species abundance. In the next step, the independance between the independant variables was tested and the correlation between independant and dependant variables was tested by the Pearson bivariate correlation test. The selected independant variables were transectional slope, riparian width, and cumulated fine sand weight portion. From the multiple regression analysis, the $R^2$for the Pyungchang river, Kyungan stream, Bokga stream were 0.651, 0.512 and 0.240 respectively. The natural stream configuration in the Pyungchang river had the best result and the lower $R^2$for Kyunan and Bokha stream were due to human impact which disturbed the natural ecosystem. The lowest $R^2$for the Bokha stream was due to the shifting sandy bed. If the stream bed is fugitive, the prediction model may not be valid. Using the multiple regression models, the vegetation abundance could be predicted with stream characteristics such as, transection slope, riaparian width, cumulated fine sand weigth portion, after stream restoration.

드론 원격정보 격자크기가 실제증발산량 산정에 미치는 영향 (Influence of Scaling in Drone-based Remotely Sensed Information on Actual Evapotranspiration Estimation)

  • 이길하
    • 한국환경과학회지
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    • 제27권2호
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    • pp.135-141
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    • 2018
  • The specification of surface vegetation is essential for simulating actual evapotranspiration of water resources. The availability of land cover maps based on remotely collected data makes the specification of surface vegetation easier. The spatial resolution of hydrologic models rarely matches the spatial scales of the vegetation data needed, and remotely collected vegetation data often are upscaled up to conform to the hydrologic model scale. In this study, the effects of the grid scale of of surface vegetation on the results of actual evapotranspiration were examined. The results show that the coarser resolution causes larger error in relative terms and that a more realistic description of area-averaged vegetation nature and characteristics needs to be considered when calculating actual evapotranspiration.