• Asian Journal of Turfgrass Science
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• v.22 no.1
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• pp.1-12
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• 2008

Remote sensing using multispectral radiometry may be a useful tool to detect drought stress in turf. The objective of this research was to investigate the correlation between drought stress and multispectral reflectance (MSR) from the turf canopy. St. Augustinegrass (Stenotaphrum secundatum[Walt.] Kuntze.) cultivars 'Floratam' and 'Palmetto', 'SeaIsle 1' seashore paspalum Paspalum vaginatum Swartz.), 'Empire' zoysiagrass (Zoysia japonica Steud.), and 'Pensacola' bahiagrass (Paspalum notatumFlugge) were established in lysimeters in the University of Florida Envirotron greenhouse facility in Gainesville. Irrigation was applied at 100%, 80%, 60%, or 40% of evapotranspiration (ET). Weekly evaluations included: a) shoot quality, leaf rolling, leaf firing b) soil moisture, chlorophyll content index; c) photosynthesis and d) multispectral reflectance. All the measurements were correlated with MSR data. Drought stress affected the infrared spectral region more than the visible spectral region. Reflectance sensitivity to water content of leaves was higher in the infrared spectral region than in the visible spectral region. Grasses irrigated at 100% and 80% of ET had no differences in normalized difference vegetation indices (NDVI), leaf area index (LAI), and stress indices. Grasses irrigated at 60% and 40% of ET had differences in NDVI, LAI, and stress indices. All measured wavelengths except 710nm were highly correlated (P < 0.0001) with turf visual quality, leaf firing, leaf rolling, soil moisture, chlorophyll content index, and photosynthesis. MSR could detect drought stress from the turf canopy.

• Journal of Korea Water Resources Association
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• v.49 no.6
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• pp.565-577
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• 2016

The objective of this study is to propose a method for computing the Natural Drought Index (NDI) that does not consider man-made drought facilities. Principal Component Analysis (PCA) was used to estimate the NDI. Three monthly moving cumulative runoff, soil moisture and precipitation were selected as input data of the NDI during 1977~2012. Observed precipitation data was collected from KMA ASOS (Korea Meteorological Association Automatic Synoptic Observation System), while model-driven runoff and soil moisture from Variable Infiltration Capacity Model (VIC Model) were used. Time series analysis, drought characteristic analysis and spatial analysis were used to assess the utilization of NDI and compare with existing SPI, SRI and SSI. The NDI precisely reflected onset and termination of past drought events with mean absolute error of 0.85 in time series analysis. It explained well duration and inter-arrival time with 1.3 and 1.0 respectively in drought characteristic analysis. Also, the NDI reflected regional drought condition well in spatial analysis. The accuracy rank of drought onset, termination, duration and inter-arrival time was calculated by using NDI, SPI, SRI and SSI. The result showed that NDI is more precise than the others. The NDI overcomes the limitation of univariate drought indices and can be useful for drought analysis as representative measure of different types of drought such as meteorological, hydrological and agricultural droughts.

• Journal of Korea Water Resources Association
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• v.56 no.12
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• pp.883-893
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• 2023

While South Korea's dependence on imported grains is very high, droughts impacts from exporting countries have been overlooked. Using the Evaporative Stress Index (ESI), this study globally analyzed frequency, extent, and long-term trends of agricultural droughts and their relation to natural oscillations and global crop prices. Results showed that global-scale correlations were found between ESI and soil moisture anomalies, and they were particularly strong in crop cultivation areas. The high correlations in crop cultivation areas imply a strong land-atmosphere coupling, which can lead to relatively large yield losses with a minor soil moisture deficits. ESI showed a clear decreasing trend in crop cultivation areas from 1991 to 2022, and this trend may continue due to global warming. The sharp increases in the grain prices in 2012 and 2022 were likely related to increased drought areas in major grain-exporting countries, and they seemed to elevate South Korea's producer price index. This study suggests the need for drought risk management for grain-exporting countries to reduce socioeconomic impacts in South Korea.

• Journal of The Korean Society of Agricultural Engineers
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• v.51 no.5
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• pp.25-34
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• 2009

The objective of this study is to evaluate the future potential climate and vegetation canopy change impact on a dam watershed hydrology. A $6,661.5\;km^2$ dam watershed, the part of Han-river basin which has the watershed outlet at Chungju dam was selected. The SWAT model was calibrated and verified using 9 year and another 7 year daily dam inflow data. The Nash-Sutcliffe model efficiency ranged from 0.43 to 0.91. The Canadian Centre for Climate Modelling and Analysis (CCCma) Coupled Global Climate Model3 (CGCM3) data based on Intergovernmental Panel on Climate Change (IPCC) SRES (Special Report Emission Scenarios) B1 scenario was adopted for future climate condition and the data were downscaled by artificial neural network method. The future vegetation canopy condition was predicted by using nonlinear regression between monthly LAI (Leaf Area Index) of each land cover from MODIS satellite image and monthly mean temperature was accomplished. The future watershed mean temperatures of 2100 increased by $2.0^{\circ}C$, and the precipitation increased by 20.4 % based on 2001 data. The vegetation canopy prediction results showed that the 2100 year LAI of deciduous, evergreen and mixed on April increased 57.1 %, 15.5 %, and 62.5% respectively. The 2100 evapotranspiration, dam inflow, soil moisture content and groundwater recharge increased 10.2 %, 38.1 %, 16.6 %, and 118.9 % respectively. The consideration of future vegetation canopy affected up to 3.0%, 1.3%, 4.2%, and 3.6% respectively for each component.

• Asian Journal of Turfgrass Science
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• v.20 no.2
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• pp.213-221
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• 2006

This study was designed to determine what sensor-based technologies might reliably and accurately predict irrigation scheduling needs of warm-season turfgrass. 'Floratam' St. Augustinegrass[Stenotaphrum secundatum(Walt.) Kuntze] and 'Sea Isle I' seashore paspalum(Paspalum vaginatum Swartz) were established in tubs in the Envirotron Turfgrass Research Laboratory in Gainesville, FL in the spring of 2002. Each grass was subjected to repeated dry-down cycles where irrigation was withheld. Sensor-based data were collected and these evaluations were used to determine if irrigation scheduling could be determined based on plant response during dry-down. Results indicated that reflectance indices($P{\le}0.001$) and soil moisture($P{\le}0.0001$) throughout the dry-down cycle can predict the need for irrigation scheduling as turf quality declined below acceptable levels.

• Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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• 2019.08a
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• pp.221-222
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• 2019

• Journal of Korean Society of Disaster and Security
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• v.15 no.3
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• pp.1-14
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• 2022

Recently, the risk of water disasters are increasing due to climate change and the aging of river levees. Existing conventional river embankment inspections have many limitations due to the consumption of a lot of manpower and budget. Thus, it is necessary to establish a new monitoring and forecast/warning method for effective flood response. This study proposes the river levee health monitoring system by analyzing the relationship between river levee deformation and hydrological factors using Sentinel-1. The variance index calculated in this study was classified into 4 grades. And the levees collapse section was judged to be a high vulnerable point in which the variance rapidly increased based on the result of the rapid increase in soil moisture. In the future, it is expected that it will be possible to advance levee maintenance technology and improve national disaster management through the advancement of the existing levee management system and automated monitoring through the forensic method that combines remote technology.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.418-418
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• 2023

가뭄은 농업, 환경 및 사회경제적인 조건에 영향을 미치는 주요 자연 재해로 우리나라는 2015년부터 지속적인 가뭄 상황을 겪고 있다. 지속된 가뭄으로 인해 토양의 수분함량이 변화하여 농작물의 생장 활동 등에 영향을 미쳐 수확량이 낮아질 수 있다. 토양수분은 경사나 토질 등 지형학적인 특성에 따라 민감하게 반응하는 수문인자로, 특성을 광역적으로 정확하게 판단하기 어렵기 때문에 고해상도 원격탐사 자료를 활용하여 토양수분의 거동을 파악하는 연구들이 진행되고 있다. 특히, Synthetic Aperture Radar (SAR) 관측은 작물과 기본적인 토양의 유전체 및 기하학적 특성에 민감하게 반응하기 때문에, 토양수분 및 농업적 가뭄 분석 연구에 활용되고 있다. 본 연구는 2025년 발사될 예정인 C-band SAR 수자원 위성 산출물인 토양수분을 적용한 농업적 가뭄지수산정 알고리즘 기법 개발 연구를 위하여, 수자원 위성과 제원이 비슷한 Sentinel-1 자료를 통해 산정된 토양수분을 활용하여 농업적 가뭄지수인 Soil Moisture Drought Index (SMDI)를 산정하고자 한다. 산정된 SMDI의 검증을 위해 지점 관측된 토양수분 자료와 비교하여 Receiver Operating Characteristic (ROC) 분석 및 error matrix 기법 등을 활용하여 산정된 농업적 가뭄지수의 지역적 적용성을 파악하고자 한다. SAR 자료 기반의 농업적 가뭄지수 산정 알고리즘을 개발함으로써, 향후 제공될 수자원 위성의 자료를 활용한 가뭄 분석 연구에 활용될 수 있을 것으로 판단된다.

• Journal of The Korean Society of Agricultural Engineers
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• v.54 no.2
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• pp.103-113
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• 2012

본 연구에서는 하수재이용에 따른 논에서의 토양염분 변화를 추정하기 위하여 경기도 화성시 수원환경사업소 인근에 위치한 병점지구를 대상으로 수문순환과 작물성장과의 관계를 고려한 SWAP (Soil-Water-Atmosphere-Plant) 모형을 이용하여 평가하였다. 실험에 사용한 관개용수는 지하수 (TR#1), 하수처리장 방류수+여과+UV (TR#3)로 분류하여 모형에 사용하였다. 유입관개수의 EC (Electrical Conductivity)는 지하수 관개수인 TR#1이 다른 처리구에 비해 작았고, TR#3의 경우 0.442~0.698 dS $m^{-1}$의 범위를 보였다. 모형의 보정과 검정을 위해서 대상지구에 FDR (Frequency Domain Reflection)을 설치하여 토양수분함유량과 염분농도를 토심에 따라 일단위로 모니터링 하였다. 토심 (50, 100, 140 cm)에 따른 토양함수량의 RMSE는 검정기간 중 TR#1에서 0.003~0.064 $cm^3\;cm^{-3}$, TR#3에서 0.001 $cm^3\;cm^{-3}$ 범위를 보여 주었고, 토양염분의 보정기간 중 토심별 RMSE는 TR#1에서 0.018~0.037 dS $m^{-1}$, TR#3에서 0.004~0.014 dS $m^{-1}$ 범위를 보여 적용성이 있는 것으로 나타났다. 토양내의 염분수지 분석 결과, 토양에서의 염분저장량이 (-)로 나타나 토양내로 침출되는 것으로 나타났으며, WMRI (Water Management Response Indicators)을 이용한 분석 결과, 높은 침투능으로 인하여 토양에서의 염분 집적 영향은 낮은 것으로 평가되었다.

• The Korean Journal of Ecology
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• v.18 no.1
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• pp.121-136
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• 1995

The forest vegetation on Mt. Ch’ongnyang was investigated for phytosociological analysis of the vegetation types and interspecific association. The forest was classified into seven vegetation units; A: Quercus Mongolica community, A-1: Group of Quercus variabilis, A-1-a: Subgroup of Pinus densiflora, A-1-b: Typical subgroup, A-2: Group of Aconitum trilobum, A-3: Group of Quercus dentata, B: Zelkova serrata communty. The group of Quercus variabilis was distributed on southeast- and southwest-facing slopes in 400~830 m above the sea level, and organic matter in the soil was 3.36~4.67％. The group of Aconitum trilobum was distributed on northeast- and northwest-facing slopes in 650~830 m above the sea level, and organic matter in the soil was 7.18％. The group of Quercus dentata was distributed on southwest-facing solpes in the vicinity of 810 m above the sea level, and organic matter in the soil was 9.7％. The Zelkova serrata community was distributed in the vicinity of ravines, and organic matter in the soil was 7.6％. The contents of Mg and Ca, and electric conductivity in the Zelkova serrata community were relatively high, 11.82 me/100mg, and 11.27 me/100mg, 102.2 μ mos/cm, respectively. In the results of polar ordination, environmental gradient of axis Ⅰ and axis Ⅱwere correlated with moisture, inclination and azimuth, respectively. Group of Quercus variabilis has occurred in xeric, group of Aconitum trilobum in submesic, and the Zelrova serrata community in mesic sites. In the meantime the interspecific association analysis based on chi-square yielded three species groupings with high positive affinity(p<0.01), i.e.group Ⅰ consisted of 18 species, including Acer pseudo-sieboldianum, Ansliaea acerifolia, Aconitum trilobum and group Ⅲ consisted of 19 species, in cluding Zelrova serrata, Oplismenus undulatifolius, Acer truncatum var. barbinerve, respectively.