• 한국작물학회지
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• 제52권4호
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• pp.393-402
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• 2007

Remote sensing data can be integrated into crop models, making simulation improved. A crop model that uses remote sensing data was evaluated for its capability, which was performed through comparing three different methods of canopy measurement for cotton(Gossypium hirsutum L.). The measurement methods used were leaf area index(LAI), hand-held remotely sensed perpendicular vegetation index(PVI), and satellite remotely sensed PVI. Simulated values of cotton growth and lint yield showed reasonable agreement with the corresponding measurements when canopy measurements of LAI and hand-held remotely sensed PVI were used for model calibration. Meanwhile, simulated lint yields involving the satellite remotely sensed PVI were in rough agreement with the measured lint yields. We believe this matter could be improved by using remote sensing data obtained from finer resolution sensors. The model not only has simple input requirements but also is easy to use. It promises to expand its applicability to other regions for crop production, and to be applicable to regional crop growth monitoring and yield mapping projects.

• 한국농림기상학회지
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• 제5권2호
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• pp.128-137
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• 2003

순복사는 지표 에너지 수지의 가장 근본적인 요소 중 하나이다. 순복사의 정확한 관측을 위해, 주기적이고 지속적인 순복사계 보정이 요구된다. 플럭스 관측에 널리 사용되는, 두 가지 타입의 대표적인 순복사계 (Q-7.1과 CNR1)의 상호 비교 및 보정 실험이 약 4개월 간격으로 두 차례 시행되었다. Q-7.1과 CNR1 간의 차이는 7.7% 이내였고, 표준 기기와의 보정 후 오차는 3.2%이내였다. 순복사계의 반응 차이와 보정 계수는 대기 상태, 특히 계절 변화에 따른 온도 차이에 따라 다르게 나타났다. 결론적으로, 주기적으로 보정된 Q-7.1은 CNR1을 대체하여 장기 관측에 사용될 수 있고, 보정 주기로는 4-6개월이 권장된다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2021년도 학술발표회
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• pp.275-275
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• 2021

A fixed Z-R relationship approach, such as the Marshall-Palmer relationship, for an entire year and for different seasons can be problematic in cases where the relationship varies spatially and temporally throughout a region. From this perspective, this study explores the use of long-term radar reflectivity for South Korea to obtain a nationwide calibrated Z-R relationship and the associated uncertainties within a Bayesian regression framework. This study also investigates seasonal differences in the Z-R relationship and their roles in reducing systematic error. Distinct differences in the Z-R parameters in space are identified, and more importantly, an inverse relationship between the parameters is clearly identified with distinct regimes based on the seasons. A spatially structured pattern in the parameters exists, particularly parameter α for the wet season and parameter β for the dry season. A pronounced region of high values during the wet and dry seasons may be partially associated with storm movements in that season. Finally, the radar rainfall estimates through the calibrated Z-R relationship are compared with the existing Z-R relationships for estimating stratiform rainfall and convective rainfall. Overall, the radar rainfall fields based on the proposed modeling procedure are similar to the observed rainfall fields, whereas the radar rainfall fields obtained from the existing Marshall-Palmer Z-R relationship show a systematic underestimation. The obtained Z-R relationships are validated by testing the predictions on unseen radar-gauge pairs in the year 2018, in the context of cross-validation. The cross-validation results are largely similar to those in the calibration process, suggesting that the derived Z-R relationships fit the radar-gauge pairs reasonably well.

• 생태와환경
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• 제41권4호
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• pp.472-484
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• 2008

The calibrated Andong Reservoir hydro-dynamic module (PART I) of the 2-dimensional hydrodynamic and water quality model, CE-QUAL-W2 [v3.2], was applied to examine the dynamics of total phosphorus, and chlorophyll $\alpha$ concentration within Andong Reservoir. The modeling effort was supported with the data collected in the field for a five year period. In general, the model achieved a good accuracy throughout the calibration period for both chlorophyll ${\alpha}$ and total phosphorus concentration. The greatest deviation in algal concentration occurred on $10^{th}$ October, starting at the layer just beneath the surface layer and extending up to the depth of 35 m. This deviation is principally attributed to the effect of temperature on the algal growth rate. Also, on the same date, the model over-predicts hypolimnion and epilimnion total phosphorus concentration but under-predicts the high concentrated plume in the metalimnion. The large amount of upwelling of finer suspended solid particles, and re-suspension of the sediments laden with phosphorus, are thought to have caused high concentration in the epilimnion and hypolimnion, respectively. Nevertheless, the model well reproduced the seasonal dynamics of both chlorophyll a and total phosphorus concentration. Also, the model tracked the interflow of high phosphorus concentration plume brought by the turbid discharge during the Asian summer monsoon season. Two different hypothetical discharge scenarios (discharge from epilimnetic, and hypolimnetic layers) were analyzed to understand the response of total phosphorus interflow plume on the basis of differential discharge gate location. The simulated results showed that the hypolimnetic discharge gate operation ($103{\sim}113\;m$) was the most effective reservoir structural control method in quickly discharging the total phosphorus plume (decrease of in-reservoir concentration by 219% than present level).

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1523-1523
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• 2001

The wine industry requires practical methods for objectively measuring the composition of both red wine grapes on the vine to determine optimal harvest time; and of freshly harvested grapes for efficient allocation to vinery process streams for particular red wine products, and to determine payment of contract grapegrowers. To be practical for industry application these methods must be rapid, inexpensive and accurate. In most cases this restricts the analyses available to measurement of TSS (total soluble solids, predominantly sugars) by refractometry and pH by electropotentiometry. These two parameters, however, do not provide a comprehensive compositional characterization for the purpose of winemaking. The concentration of anthocyanin pigment in red wine grapes is an accepted indicator of potential wine quality and price. However, routine analysis for total anthocyanins is not considered as a practical option by the wider wine industry because of the high cost and slow turnaround time of this multi-step wet chemical laboratory analysis. Recent work by this ${group}^{l,2}$ has established the capability of near infrared (NIR) spectroscopy to provide rapid, accurate and simultaneous measurement of total anthocyanins, TSS and pH in red wine grapes. The analyses may be carried out equally well using either research grade scanning spectrometers or much simpler reduced spectral range portable diode-array based instrumentation. We have recently expanded on this work by collecting thousands of red wine grape samples in Australia. The sample set spans two vintages (1999 and 2000), five distinct geographical winegrowing regions and three main red wine grape varieties used in Australia (Cabernet Sauvignon, Shiraz and Merlot). Homogenized grape samples were scanned in diffuse reflectance mode on a FOSE NIR Systems6500 spectrometer and subject to laboratory analysis by the traditional methods for total anthocyanins, TSS and pH. We report here an analysis of the correlations between the NIR spectra and the laboratory data using standard chemometric algorithms within The Unscrambler software package. In particular, various subsets of the total data set are considered in turn to elucidate the effects of vintage, geographical area and grape variety on the measurement of grape composition by NIR spectroscopy. The relative ability of discrete calibrations to predict within and across these differences is considered. The results are then used to propose an optimal calibration strategy for red wine grape analysis.

• 대한환경공학회지
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• 제27권9호
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• pp.978-988
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• 2005

본 연구에서는 한강수계의 팔당호에 3차원 시변화 모델을 적용하였으며, 상이한 강우 및 유량 조건에서의 실측자료를 이용하여 적용 모델의 재현성을 검토하였다. 모델의 보정 및 검증 결과 모델 예측값은 실측간과 적절한 일치를 보였으며, 재현성이 검토된 모델 결과를 바탕으로 팔당호의 수온, 유속, 체류시간의 시 공간적 분포와 유입지류의 흐름 특성을 분석하였다. 팔당호 수표면에서는 일반적으로 소내섬 남쪽 수역에서 다른 수역에 비해 다소 높은 수온과 낮은 유속이 유지되는 것으로 나타났다. 또한 소내섬 남쪽 수역과 남한강 수역 하류 부분에서는 연중 대부분의 기간 동안 국지적으로 긴 체류시간이 유지되고 있으며, 이는 이들 수역에서 블로킹으로 인한 상류 방향으로의 역류가 발생하기 때문인 것으로 분석되었다. 한편 팔당호에서는 초여름과 겨울에 약한 수온성층이 형성되며, 초봄과 가을에는 성층이 파괴되어 전 수층에서 유사한 수온을 보이나 댐 방류의 영향으로 인해 수체의 수직 혼합은 발생하지 않았다. 집중 강우가 발생하는 여름철에는 유입 및 유출량의 급격한 증가로 인해 수온 성층이 파괴되며, 전 수역에서 체류시간이 크게 감소하는 것으로 예측되었다. 이러한 수체 흐름 하에서 남, 북한강 그리고 경안천은 각각 다른 방향으로부터 팔당호로 유입된 후 구별된 흐름 경로를 통해 댐까지 이동하게 되며, 특히 경안천은 소내섬 남쪽 수역에서 유입된 후 댐에 이르기까지 일반적으로 소내섬 서쪽 호반을 따라 표층을 중심으로 이동하는 것으로 분석되었다. 본 연구 결과 팔당호는 수온, 유속 그리고 체류시간의 시 공간적 변화가 매우 심하며, 수온 성층의 발달이 미약하나 유입지류의 수온 차이로 인해 밀도류가 형성되는 것으로 나타났다.