• 제목/요약/키워드: SAr

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Intercropping of Cow Pea (Vigna unguiculata) as Summer Forage Yield with Grewia tenax in Irrigated Saline Soil of Khartoum State, Sudan

  • Abdalla, Nasre Aldin Mustafa;Alawad, Seid Ahmed Hussein;ElMukhtar, Ballal Mohamed
    • Journal of Forest and Environmental Science
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    • 제38권2호
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    • pp.122-127
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    • 2022
  • Agroforestry in terms of intercropping cow pea as summer forage with Grewia tenax was undertaken under sub -irrigation system in two consecutive seasons of 2017 and 2018 in saline soil of Khartoum State of Sudan. The aims were to find out suitable agro forestry system for saline soils as well as to investigate effect of tree spacing on field summer forage crop under semi -irrigation system. Therefore G. tenax trees that spaced at 4×4 m were used as main factor versus cow pea crop that incorporated at 25×50 cm intervals by using completely randomized block design with 3 replications. Trees and crop parameters were determined in terms of plant growth and yield. In addition to land equivalent ratio and soil chemical and physical properties at different layers were determined. The results revealed that, soil parameters in terms of CaCo3, SAR, ESP, pH paste and EC ds/m were increased with increasing soil depths. Meanwhile tree growth did not show any significant differences in the first season in 2017. Whereas in the second season in 2018 tree growth namely; tree height, tree collar and canopy diameters were higher under intercropping than in sole trees. Cow pea plant height recorded significant differences under sole crop in the first season in 2017. Unlike the forage fresh yield that was significant under the inter cropped plots. Tree fruit yield was higher under sole trees and land equivalent ratio was more advantageous under GS2 (1.5 m) which amounted to 4. Therefore it is possible to introduce this agroforestry system under saline soils to provide summer forage of highly nutritive value to feed animals and to increase farmers' income as far as to halt desertification and to sequester carbon.

Research on Spatial Dependence and Influencing Factors of Korean Intra-Industry Trade of Agricultural Products: From South Korea's Agricultural Trade Data

  • Lv, Hong-Qu;Huang, Chen-Yang
    • Journal of Korea Trade
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    • 제25권3호
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    • pp.116-133
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    • 2021
  • Purpose - Intra-industry trade of agricultural products can eliminate the disadvantage of Korea's traditional agriculture and improve its lack of comparative advantage. The main purpose of this paper is to measure the level and index of intra-industry trade of Korean agricultural products and to explore the spatial dependence and spillover effect associated with this type of trade. The main factors influencing intra-agricultural trade are analyzed from two perspectives: the population and the classification of agricultural products. Design/methodology - First, the level of intra-industry trade of Korean agricultural products is measured. Second, to obtain a more accurate estimate of the influence of various factors, and based on two types of weight matrices, a spatial econometric model is constructed from two aspects: population and classification of agricultural products. The status and the factors influencing intra-industry trade are also studied. Findings - It is concluded that there is a positive spatial correlation between Korea's intra-industry trade in agricultural products and that of its trading partners. The spatial spillover effect of this type of trade is verified by using the spatial autoregressive model (SAR). Labor-intensive agricultural products are found to have a positive spillover effect on intra-industry trade, while land-intensive products do not have a significant effect. Originality/value - In this paper, the two types of agricultural products are meticulously distinguished, and the spatial effect of the intra-industry trade of agricultural products as well as the influence of various factors are analyzed. In addition, the accuracy of the estimation of the coefficients of the factors by using the spatial econometric model is higher than that of the ordinary panel data model.

그물형 안테나의 고어 개수에 따른 Radio Frequency (RF) 특성 분석 (Analysis of Radio Frequency (RF) Characteristics and Effectiveness according to the Number of Gores of Mesh Antenna)

  • 김진혁;이시아;박태용;최한솔;김홍래;채봉건;오현웅
    • 우주기술과 응용
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    • 제1권3호
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    • pp.364-374
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    • 2021
  • 본 논문에서는 초소형 위성에 적용할 수 있는 전개형 메쉬 안테나의 Gore 특성에 따른 radio frequency (RF) 특성 변화에 관해 논한다. 메쉬 안테나의 경우 다양한 초소형위성에 탑재할 수 있으며, 통신/영상레이다/SIGINT 등 다양한 우주임무에 활용이 가능하다. 이상적인 안테나 곡면을 형성하기 위해서는 충분한 개수의 안테나 Rib 구조로 반사판을 구현해야 한다. 그러나 안테나 Rib 개수 증가에 따라 안테나 질량을 비롯해 기계적인 전개 메커니즘의 복잡도 및 전개 신뢰성 등 다양한 설계인자에 영향을 미치게 된다. 본 논문에서는 안테나의 RF 성능 열화 최소화 관점에서 적정 안테나 Rib의 개수를 도출하기 위해 메쉬 안테나의 예시 모델을 대상으로 다양한 Rib 개수에 따른 RF 시뮬레이션을 통해 비교분석을 수행하였다.

위성 이미지를 활용한 제방 안정성 평가 기법 개발 (Development of Levee Safety Revaluation for Satellite Images)

  • 방영준;이승오
    • 한국방재안전학회논문집
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    • 제15권3호
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    • pp.1-14
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    • 2022
  • 최근 기후변화와 하천 제방의 노후화로 인해 수재해 위험이 가중되고 있으나 기존의 재래적인 하천 제방의 점검은 많은 인력과 예산 소모로 많은 한계점들이 존재하다. 이에 따라 효과적인 홍수 대응을 위해 새로운 모니터링과 예/경보 시스템 구축이 필요한 상황이다. 본 연구는 인공위성(Sentinel-1)을 이용한 하천 제방 변위 산출, 수문학적 요인과의 관계 분석 항목들을 결합한 하천 제방 건강상태 모니터링 방법을 제안한다. 본 연구에서 산정한 변동성 지수를 계산하여 4등급으로 구분하였고, 토양 수분의 급증한 결과를 토대로 제방 붕괴 구간이 변동성이 급증한 취약지점 상태로 판단하였다. 향후에는 원격 기술과 분석 항목들을 결합한 포렌식 기법을 통해 기존 제방관리 시스템의 고도화가 가능할 것으로 기대한다.

Potential Functional Role of Phenethylamine Derivatives in Inhibiting Dopamine Reuptake: Structure-Activity Relationship

  • Dooti Kundu;Anlin Zhu;Eunae Kim;Suresh Paudel;Choon-Gon Jang;Yong Sup Lee;Kyeong-Man Kim
    • Biomolecules & Therapeutics
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    • 제31권1호
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    • pp.108-115
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    • 2023
  • Numerous psychotropic and addictive substances possess structural features similar to those of β-phenethylamine (β-PEA). In this study, we selected 29 β-PEA derivatives and determined their structure-activity relationship (SAR) to their ability to inhibit dopamine (DA) reuptake; conducted docking simulation for two selected compounds; and identified their potential functionals. The compounds were subdivided into arylethylamines, 2-(alkyl amino)-1-arylalkan-1-one derivatives and alkyl 2-phenyl-2-(piperidin-2-yl)acetate derivatives. An aromatic group, alkyl group, and alkylamine derivative were attached to the arylethylamine and 2-(alkyl amino)-1-arylalkan-1-one derivatives. The inhibitory effect of the compounds on dopamine reuptake increased in the order of the compounds substituted with phenyl, thiophenyl, and substituted phenyl groups in the aromatic position; compounds with longer alkyl groups and smaller ring-sized compounds at the alkylamine position showed stronger inhibitory activities. Docking simulation conducted for two compounds, 9 and 28, showed that the (S)-form of compound 9 was more stable than the (R)-form, with a good fit into the binding site covered by helices 1, 3, and 6 of human dopamine transporter (hDAT). In contrast, the (R, S)-configuration of compound 28 was more stable than that of other isomers and was firmly placed in the binding pocket of DAT bound to DA. DA-induced endocytosis of dopamine D2 receptors was inhibited when they were co-expressed with DAT, which lowered extracellular DA levels, and uninhibited when they were pretreated with compound 9 or 28. In summary, this study revealed critical structural features responsible for the inhibition of DA reuptake and the functional role of DA reuptake inhibitors in regulating D2 receptor function.

Unveiling the mysteries of flood risk: A machine learning approach to understanding flood-influencing factors for accurate mapping

  • Roya Narimani;Shabbir Ahmed Osmani;Seunghyun Hwang;Changhyun Jun
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2023년도 학술발표회
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    • pp.164-164
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    • 2023
  • This study investigates the importance of flood-influencing factors on the accuracy of flood risk mapping using the integration of remote sensing-based and machine learning techniques. Here, the Extreme Gradient Boosting (XGBoost) and Random Forest (RF) algorithms integrated with GIS-based techniques were considered to develop and generate flood risk maps. For the study area of NAPA County in the United States, rainfall data from the 12 stations, Sentinel-1 SAR, and Sentinel-2 optical images were applied to extract 13 flood-influencing factors including altitude, aspect, slope, topographic wetness index, normalized difference vegetation index, stream power index, sediment transport index, land use/land cover, terrain roughness index, distance from the river, soil, rainfall, and geology. These 13 raster maps were used as input data for the XGBoost and RF algorithms for modeling flood-prone areas using ArcGIS, Python, and R. As results, it indicates that XGBoost showed better performance than RF in modeling flood-prone areas with an ROC of 97.45%, Kappa of 93.65%, and accuracy score of 96.83% compared to RF's 82.21%, 70.54%, and 88%, respectively. In conclusion, XGBoost is more efficient than RF for flood risk mapping and can be potentially utilized for flood mitigation strategies. It should be noted that all flood influencing factors had a positive effect, but altitude, slope, and rainfall were the most influential features in modeling flood risk maps using XGBoost.

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구봉 금광산의 광미 인근지역의 천부지하수 수질특성 (Groundwater quality in the Shallow Aquifer nearby the Gubong gold-mine Tailings)

  • 우남칠;최미정
    • 대한지하수환경학회지
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    • 제5권3호
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    • pp.148-154
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    • 1998
  • 구봉광산은 과거 남한의 최대 금광중의 하나였다. 광산 주변 지역에서는 천부 지하수를 생활용과 농업용 수원으로 사용하여 왔다. 이 지역에서 Cd, Cu, Pb 및 Zn에 의한 토양오염이 보고되었으며, 이로부터 이 지역의 천부지하수의 수질과 광미로 인한 영향을 규명하고자 본 연구가 시작되었다. 인근의 하천수, 지하수 및 광미지역의 침출수 시료를 채취하여 Na, K Ca, Mg 등의 주양이온과 F, Cl, NO$_3$, SO$_4$, HCO$_3$, 등의 음이온 및 Al, Cr, Mn, Fe, Ni, Cu, Zn, Cd, Pb, Se, As, Hg 등의 미량 오염원소등을 분석하였다. 분석결과로부터 4가지 유형의 수질특성을 구분하였으며, 이 지역의 지하수는 알칼리니티와 염도에 의한 농업용수로서의 위해성은 없는 것으로 판명되었다. 지하수 중의 주요염물질은 비소였으며, 유비철석(arsenopyrite)의 산화로부터 기인되는 것으로 사료된다. 따라서 기매립된 광미와 퇴적물을 파내는 것은 비소성분의 지하수로의 이동을 유발할 수 있다.

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Sentinel-1 및 Sentinel-2 위성영상기반 식생지수를 활용한 용담댐 유역의 토양수분 산정 (Soil moisture estimation of YongdamDam watershed using vegetation index from Sentinel-1 and -2 satellite images)

  • 손무빈;정지훈;이용관;우소영;김성준
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2021년도 학술발표회
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    • pp.161-161
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    • 2021
  • 본 연구에서는 금강 상류의 용담댐 유역(930.0 km2)을 대상으로 Sentinel-1 SAR(Synthetic Aperture Radar) 및 Sentinel-2 MultiSpectral Instrument(MSI) 위성영상을 활용한 토양수분 산출연구를 수행하였다. 연구에 사용된 자료는 10 m 해상도의 Sentinel-1 IW(Interferometric Wide swath) mode GRD(Ground Range Detected) product의 VV(Vertical transmit-Vertical receive) 및 VH(Vertical transmit-Horizontal receive) 편파자료와 Sentinel-2 Level-2A Bottom of Atmosphere(BOA) reflectance 자료를 2019년에 대해 각 6일 및 5일 간격으로 구축하였다. 위성영상의 Image processing은 SNAP(SentiNel Application Platform)을 활용하여 Sentinel-1 영상의 편파 별(VV, VH) 후방산란계수와 Sentinel-2의 적색(Band-4) 및 근적외(Band-8) 영상을 생성하였다. 토양수분 산출 모형은 다중선형회귀모형(Multiple Linear Regression Model)을 활용하였으며, 각 지점에 해당하는 토양 속성별로 모형을 생성하였다. 모형의 입력자료는 Sentinel-1 위성의 편파별 후방산란계수, Sentinel-1 위성에서 산출된 식생지수 RVI(Radar Vegetation Index)와 Sentinel-2 위성에서 산출된 NDVI(Normalized Difference Vegetation Index)를 활용하여 식생의 영향을 반영하고자 하였다. 모의 된 토양수분을 검증하기 위해 6개 지점의 TDR(Time Domain Reflectometry) 기반 실측 토양수분 자료를 수집하고, 상관계수(Correlation Coefficient, R), 평균제곱근오차(Root Mean Square Error, RMSE) 및 IOA(Index of Agreement)를 활용하여 전체 기간 및 계절별로 나누어 검증할 예정이다.

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Numerical Model Test of Spilled Oil Transport Near the Korean Coasts Using Various Input Parametric Models

  • Hai Van Dang;Suchan Joo;Junhyeok Lim;Jinhwan Hur;Sungwon Shin
    • 한국해양공학회지
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    • 제38권2호
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    • pp.64-73
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    • 2024
  • Oil spills pose significant threats to marine ecosystems, human health, socioeconomic aspects, and coastal communities. Accurate real-time predictions of oil slick transport along coastlines are paramount for quick preparedness and response efforts. This study used an open-source OpenOil numerical model to simulate the fate and trajectories of oil slicks released during the 2007 Hebei Spirit accident along the Korean coasts. Six combinations of input parameters, derived from a five-day met-ocean dataset incorporating various hydrodynamic, meteorological, and wave models, were investigated to determine the input variables that lead to the most reasonable results. The predictive performance of each combination was evaluated quantitatively by comparing the dimensions and matching rates between the simulated and observed oil slicks extracted from synthetic aperture radar (SAR) data on the ocean surface. The results show that the combination incorporating the Hybrid Coordinate Ocean Model (HYCOM) for hydrodynamic parameters exhibited more substantial agreement with the observed spill areas than Copernicus Marine Environment Monitoring Service (CMEMS), yielding up to 88% and 53% similarity, respectively, during a more than four-day oil transportation near Taean coasts. This study underscores the importance of integrating high-resolution met-ocean models into oil spill modeling efforts to enhance the predictive accuracy regarding oil spill dynamics and weathering processes.

2024년 일본 노토반도 지진으로 인한 지표 변위 분석: Offset Tracking을 이용한 수평 방향 지표 변위를 중심으로 (Analysis of Surface Displacement Due to the 2024 Noto Peninsula Earthquake in Japan: Focus on Horizontal Surface Displacement Using Offset Tracking)

  • 김봉찬;이슬기;이창욱
    • 대한원격탐사학회지
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    • 제40권3호
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    • pp.307-316
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    • 2024
  • 2024년 1월 1일 일본 노토반도에서 모멘트 규모 7.5의 강진이 발생했다. 이 강진에 의해 노토반도에는 심각한 지표 변위가 발생하였다. 지표 변위 파악에는 global navigation satellite system (GNSS) 기지국에서 측정된 자료를 사용하나 기지국이 존재하지 않는 지역의 정보를 획득하기에는 한계점이 존재한다. 따라서 본 연구에서는 급격하게 발생한 변위를 탐지할 수 있는 offset tracking을 이용하여 노토반도 전역의 수평 지표 변위를 파악하고자 한다. Offset tracking 기법을 이용하여 노토반도를 분석한 결과 진앙이 위치한 노토반도의 북동쪽 지역보다 북서쪽 지역에서 더 많은 수평 방향 지표 변위가 발생하였으며 지표 변위 값이 최대 2.9 m에 달하는 것으로 나타났다. 본 연구의 결과는 지상 GNSS 기지국을 통해 지표 변위 자료를 획득하지 못하는 지역의 지표 변위 값을 산출하는 데 활용할 수 있을 것이다.