• Title/Summary/Keyword: 식생공

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Numerical Analysis for Wave Propagation with Vegetated Coastal Area (연안해역에서의 수변식생에 의한 파란변형에 관한 수치해석)

  • LEE SEONG-DAE
    • Journal of Ocean Engineering and Technology
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    • v.20 no.1 s.68
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    • pp.63-68
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    • 2006
  • Recently, it has been widely recognized that coastal vegetations may have great value in supporting fisheries, protecting from wave attack, stabilizing the sea bed and maintaining good scenery. Hydrodynamic factors play a major role in the functions of water quality and ecosystems. However, the studies on physical and numerical process of wave propagation are few and far behind compared to those on the hydrodynamic roles of coastal vegetations. In general, Vegetation flourishing along the coastal areas attenuates the incident waves, through momentum exchange between stagnated water mass in the vegetated area and rapid mass in the un-vegetated area. This study develops a numerical model for describing the wave attenuation rate in the complex topography with the vegetation area. Based on the numerical results, the physical properties of the wave attenuation are examined under various wave, geometric and vegetation conditions. Through the comparisons of these results, the effects of the vegetation properties, wave properties and model parameters such ac the momentum exchange coefficient have been clarified.

The Vegetation of Seoimal-Lighthouse area in koje Island (거제 서이말등대 주변의 식생)

  • 김인택
    • Journal of Life Science
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    • v.12 no.6
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    • pp.649-653
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    • 2002
  • The vegetation of Seoimal-lighthouse area was investigated from August, 2001 to July, 2002. In order to analyze the vegetation of this area, synthesis table, actual vegetation map were prepared. The main community structures of this area represent evergreen broad-leaf community(about 48%), which are very good condition(nearly last sere) to preserve and 11communities(Camellia japonica community, Castanopsis cuspidnta var. thunbergii community, Neolitsea sericea community, Quercus serrata community, Quercus variabilis community, Carpinus corenna community, Srtrax japonica community, Pinus thunbergii community, Quercus acutissima community, Zelkova serrata community, Cinnamimum japonicum community) were classified by vegetation type. And Daphne kiusiana, Asirum maculatum, Cymbidium goeringii, Chloranthus glaber, Ligularia taguetii should be worthwhile species to conserve in this area.

Characteristics of the Vegetation Mat Prepared from Miscanthus Sinensis var. Purpurascens (거대억새(Miscanthus sinensis var. purpurascens)를 이용하여 제조된 식생기반재의 특성)

  • Kwon, Gu-Joong;Kim, Eun-Ji;Park, Hee-Jun;Kim, Dae-Young
    • Journal of the Korean Wood Science and Technology
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    • v.42 no.1
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    • pp.27-33
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    • 2014
  • The characteristic of vegetation mat prepared from miscanthus, waste wood chip, perlite and pulp slurry was investigated. The pore rate was increased with amount of pulp slurry. The hydraulic conductivity decreased with the amount of miscanthus in the condition mixed with each other raw materials. With the miscanthus amount, the soil hardness was increased. The peel strength decreased with the mount of miscanthus amount in all case. Hydrogen ion concentration (pH) was the overall alkaline. The MOR of miscanthus based vegetation mat was decreased with the amount miscanthust.

A Study on Attenuation of Ground Vibration Using Hammer Generated Seismic Wave (탄성파탐사에 의한 토양층 지반진동의 감쇠연구)

  • 서만호;손호웅
    • The Journal of Engineering Geology
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    • v.6 no.2
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    • pp.95-102
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    • 1996
  • A study on the attenuation of ground vibration was carried out on the soil layer using seismic exploration method. A 12-channel engineering seismograph was used to acquire real digital amplitude data in field work. Frequency analysis of seismic data shows maximum spectrum amplitude around 40Hz. Relative amplitude decreases exponentially as the distance increases and the attenuation factors are n = 0.25 and a = 0.13-0.20. Internal attenuation indexes(a) are 0.13 and 0.20 in the wet soil zone and the vegatated soil zone, respectively. It means that ground vibration attenuates faster in vegatated soil zone than in wet soil zone. Average internal attenuation coefficient(h) was determined to be 0.094 from seismic velocity and frequency analysis.

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Variation in Vegetation Area caused by Topographical Change at Jinudo in the Nakdong Estuary (낙동강 하구역 진우도내 지형변동에 따른 식생면적의 변화)

  • Ryu, Sung-Hoon;Lee, In-Cheol;Park, So-Young
    • Journal of Ocean Engineering and Technology
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    • v.23 no.4
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    • pp.19-24
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    • 2009
  • In order to analysis the variation in vegetation area caused by topographical change at Jinudo in the Nakdong estuary, we used aerial photographs of Jinudo from 1998 to 2006. To extract an accuracy shoreline from these aerial photographs, a tide calibration was performed. We also estimated the annual variation in topographic area and vegetation area, and then analyzed the relationship between them by a correlation analysis. The following results were obtained: 1) The calibrated shoreline distance of Jinudo from 1998 to 2006 was estimated to have a range of (-)1,927 cm to (+)4,671 cm. 2) Annual changes in the topographic area and vegetation area in Jinudo have been increasing gradually from 1998, and the correlation coefficient between topographic area and vegetation area is 0.97. 3) The estimated topographic areas were with following order: southern (III), eastern (IV), northern (II) and western (I), while for the vegetation area, the order was southern (III), northern (II), eastern (IV) and western (I). 4) The vegetation area of the southern region (III) of Jinudo had the largest size among the regions, and was calculated to be $4.3{\sim}5.4$ times larger than the eastern region (IV).

Definition of flash drought and analysis of hydrometeorological characteristics in South Korea (국내 돌발가뭄의 정의 및 수문기상학적 특성 분석)

  • Lee, Hee-Jin;Nam, Won-Ho;Yoon, Dong-Hyun;Svoboda, Mark D.
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.72-72
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    • 2021
  • 가뭄은 수개월, 수년 이상에 걸쳐 서서히 발생 및 지속되며, 식생에 대한 피해가 발생할 때까지 확실한 인식이 어렵다. 최근에는 기후변화로 인하여 가뭄의 발생빈도가 증가하고 있으며, 기상 이상에 따른 다양한 형태의 가뭄이 발생하고 있다. 미국에서 정의한 'Flash Drought'는 비교적 짧은 기간 동안 표면온도의 상승과 비정상적으로 낮고 빠르게 감소하는 토양수분으로 인하여 식생에 대한 극심한 스트레스를 유발하면서 광범위한 작물 손실 및 용수공급 감소 등에 대한 피해를 야기하는 가뭄이다. 국내에서는 Flash Drought에 대한 모니터링이 활성화되지 않았기 때문에 본 연구에서는 '돌발가뭄'이라는 새로운 정의를 제시하면서 토양수분, 증발산량, 강수량, 기온 등의 가뭄 관련 주요인자를 활용하여 국내에서 발생한 돌발가뭄 (Flash Drought)를 감지하고 분석하고자 하였다. 돌발가뭄을 분석하기 위하여 선행연구에서 제시한 가뭄 관련 주요인자 기준 유형, 증발산량 기반 가뭄지수를 활용한 유형 등을 활용하였으며, 지상관측자료로는 국내 76개 종관기상관측 자료를 활용하였다. 또한, 토양수분 자료는 GRACE (Gravity Recovery and Climate Experiment) 위성영상 자료를 취득한 후 5 km 공간해상도 자료로 활용하였다. 가뭄지수의 경우 증발산 기반 가뭄지수 중 표준강수증발산지수 SPEI (Standardized Precipitation Evapotranspiration), 증발스트레스지수 ESI (Evaporative Stress Index) 등을 활용하여 국내 돌발가뭄 유형에 대한 분석에 적용하였다. 본 연구를 통하여 아직 명확하게 정의되지 않은 돌발가뭄에 대한 유형별 분석 및 국내 돌발가뭄의 수문기상학적 특성을 분석하고자 한다.

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Predicting Forest Gross Primary Production Using Machine Learning Algorithms (머신러닝 기법의 산림 총일차생산성 예측 모델 비교)

  • Lee, Bora;Jang, Keunchang;Kim, Eunsook;Kang, Minseok;Chun, Jung-Hwa;Lim, Jong-Hwan
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.21 no.1
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    • pp.29-41
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    • 2019
  • Terrestrial Gross Primary Production (GPP) is the largest global carbon flux, and forest ecosystems are important because of the ability to store much more significant amounts of carbon than other terrestrial ecosystems. There have been several attempts to estimate GPP using mechanism-based models. However, mechanism-based models including biological, chemical, and physical processes are limited due to a lack of flexibility in predicting non-stationary ecological processes, which are caused by a local and global change. Instead mechanism-free methods are strongly recommended to estimate nonlinear dynamics that occur in nature like GPP. Therefore, we used the mechanism-free machine learning techniques to estimate the daily GPP. In this study, support vector machine (SVM), random forest (RF) and artificial neural network (ANN) were used and compared with the traditional multiple linear regression model (LM). MODIS products and meteorological parameters from eddy covariance data were employed to train the machine learning and LM models from 2006 to 2013. GPP prediction models were compared with daily GPP from eddy covariance measurement in a deciduous forest in South Korea in 2014 and 2015. Statistical analysis including correlation coefficient (R), root mean square error (RMSE) and mean squared error (MSE) were used to evaluate the performance of models. In general, the models from machine-learning algorithms (R = 0.85 - 0.93, MSE = 1.00 - 2.05, p < 0.001) showed better performance than linear regression model (R = 0.82 - 0.92, MSE = 1.24 - 2.45, p < 0.001). These results provide insight into high predictability and the possibility of expansion through the use of the mechanism-free machine-learning models and remote sensing for predicting non-stationary ecological processes such as seasonal GPP.

A Study about the Engineering Properties of Vegetation, One of All Factors to Select Vegetation Species for Soil Slope Protection (식물의 공학적 특성을 고려한 토사사면 보호공에서의 식생선정기법 연구)

  • 유전용;김현태;강병윤;반창현;양영철
    • Proceedings of the Korean Geotechical Society Conference
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    • 2002.10a
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    • pp.459-466
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    • 2002
  • This study reviews the engineering properties of vegetation as one of all factors to select vegetation species for slope protection. The vegetation species mainly applied in domestic soil slope protection were inspected, and the root properties such as root pattern, root length, root weight, were analyzed. And then direct shear tests on undisturbed fine sand including roots were performed to review the effect of root reinforcement. From these analyses, it was concluded that the engineering properties of vegetation should be considered to select vegetation species for slope protection.

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Dataset of Long-term Investigation on Change in Hydrology, Channel Morphology, Landscape and Vegetation Along the Naeseong Stream (II) (내성천의 수문, 하도 형태, 경관 및 식생 특성에 관한 장기모니터링 자료 (II))

  • Lee, Chanjoo;Kim, Dong Gu;Hwang, Seung-Yong;Kim, Yongjeon;Jeong, Sangjun;Kim, Sinae;Cho, Hyeongjin
    • Ecology and Resilient Infrastructure
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    • v.6 no.1
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    • pp.34-48
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    • 2019
  • Naeseong Stream is a natural sand-bed river that flows through mountainous and cultivated area in northern part of Gyeongbuk province. It had maintained its inherent landscape characterized by white sandbars before 2010s. However, since then changes occurred, which include construction of Yeongju Dam and the extensive vegetation development around 2015. In this study, long-term monitoring was carried out on Naeseong Stream to analyze these changes objectively. This paper aims to provide a dataset of the investigation on channel morphology and vegetation for the period 2012-2018. Methods of investigation include drone/terrestrial photography, LiDAR aerial survey and on-site fieldwork. The main findings are as follows. Vegetation development in the channel of Naeseong Stream began around 1987. Before 2013 it occurred along the downstream reach and since then in the entire reach. Some of the sites where riverbed is covered with vegetation during 2014~2015 were rejuvenated to bare bars due to the floods afterwards, but woody vegetation was established in many sites. Bed changes occurred due to deposition of sediment on the vegetated surfaces. Though Naeseong Stream has maintained its substantial sand-bed characteristics, there has been a slight tendency in bed material coarsening. Riverbed degradation at the thalweg was observed in the surveyed cross sections. Considering all the results together with the hydrological characteristics mentioned in the precedent paper (I), it is thought that the change in vegetation and landscape along Naeseong Stream was mainly due to decrease of flow. The effect of Yeongju Dam on the change of the riverbed degradation was briefly discussed as well.

The Interrelationship between Riparian Vegetation and Hydraulic Characteristics during the 2020 Summer Extreme Flood in the Seomjin-gang River, South Korea (2020 여름 섬진강 대홍수시 하안식생과 수리 특성의 상호관계)

  • Lee, Cheolho;Lee, Keonhak;Kim, Hwirae;Baek, Donghae;Kim, Won;Kim, Daehyun;Lee, Hyunjae;Woo, Hyoseop;Cho, Kang-Hyun
    • Ecology and Resilient Infrastructure
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    • v.8 no.2
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    • pp.79-87
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    • 2021
  • Because active interactions occur among vegetation, hydrology, and geomorphology in riparian systems, any changes in one of these factors can significantly affect the other two. In this study, we evaluated these interactions at four sites (two in Gajeong and two in Hahan) along the Seomjin-gang River that was substantially devastated by an extreme flood in 2020. We examined the relationship between the riparian vegetation and the hydraulic characteristics of the flood using remote sensing, hydraulic modeling, and field surveys combined. The evaluation results showed that the floods caused a record-breaking rise of up to 43.1 m above sea level at the Yeseong-bridge stage gauge station (zero elevation 27.4 m) located between the Gajeong and Hahan sites, with the shear stress being four times higher in Hahan than in Gajeong. Additionally, the water level during the flood was estimated to be a maximum of 1 m higher depending on the location in the presence of riparian plants. Furthermore, both sites underwent extensive biological damage due to the flood, with 78-80% loss in vegetation, with preferential damage observed in large willow species, compared to Quercus acutissima. The above findings imply that all plant species exhibit different vulnerabilities towards extreme floods and do not induce similar behavior towards events causing a disturbance. In conclusion, we developed strategies for effectively managing riparian trees by minimizing flood hazards that could inevitably cause damage.