• 제목/요약/키워드: estimating equations

검색결과 480건 처리시간 0.022초

드론 RGB 정사영상 기반 하도 지형 공간 추정 방법 - 내성천 중심으로 - (Estimation of channel morphology using RGB orthomosaic images from drone - focusing on the Naesung stream -)

  • 강우철;이경수;장은경
    • 한국지리정보학회지
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    • 제25권4호
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    • pp.136-150
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    • 2022
  • 본 연구는 하천 관리 및 홍수위 분석에 있어 필수적인 자료 중 하나인 하천 지형정보를 얻기 위해 RGB 영상을 활용하는 방법에 대한 비교 검토가 이루어졌다. 하천 구역의 지형정보를 얻는 데 있어 흐름 구간 즉 하도 지형정보를 얻는 것이 가장 어려운 분야 중 하나이기에 본 연구에서는 RGB 영상 기반으로 하도 지형정보를 추정하는 것에 집중하였다. 이를 위해 Acoustic Doppler Current Profiler(ADCP)와 RTK-GPS(Real Time Kinematic-GPS)를 이용하여 하도 지형을 직접 계측하였으며, 동시에 드론 촬영을 통해 획득한 고해상도 이미지를 이용하여 정사 영상을 생성하였다. 이후 수심 계측 결과와 RGB 정사 영상의 밴드 값들을 이용하여 수심 예측을 위한 기존에 개발된 회귀식들을 적용하였으며, 가장 뛰어난 예측력을 보여준 회귀식을 이용하여 연구 대상 지역의 하도 지형을 추정하였다. 흐름 구간 이외 지역의 경우 항공 라이다로부터 생성된 DEM을 이용하여 하천 구간 전체에 대한 지형정보를 구축하였다. 추가로 드론 촬영이 이루어진 동일한 시간 동안 직접 계측한 자료를 이용하여 생성된 지형정보와 드론 정사 영상 기반으로 생성된 하도 지형정보의 비교 검증을 수행하기 위해 CCHE2D 모형을 활용하여 흐름 모델링을 모의하였으며, 일부 구간에 대한 계측이 이루어지지 못한 직접 계측한 지형정보와 비교하여 영상 기반의 지형정보는 보다 나은 수심, 유속 모의 결과를 보여주었다. 본 연구 결과를 통해 RGB 영상으로부터 하도 지형정보를 획득할 수 있는 것을 확인하였으며, 추가적인 연구가 수행된다면 하천 관리를 위한 효율적인 하천 지형정보를 얻는 방법으로 활용할 가능성을 확인하였다.

RANS simulation of secondary flows in a low pressure turbine cascade: Influence of inlet boundary layer profile

  • Michele, Errante;Andrea, Ferrero;Francesco, Larocca
    • Advances in aircraft and spacecraft science
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    • 제9권5호
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    • pp.415-431
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    • 2022
  • Secondary flows have a huge impact on losses generation in modern low pressure gas turbines (LPTs). At design point, the interaction of the blade profile with the end-wall boundary layer is responsible for up to 40% of total losses. Therefore, predicting accurately the end-wall flow field in a LPT is extremely important in the industrial design phase. Since the inlet boundary layer profile is one of the factors which most affects the evolution of secondary flows, the first main objective of the present work is to investigate the impact of two different inlet conditions on the end-wall flow field of the T106A, a well known LPT cascade. The first condition, labeled in the paper as C1, is represented by uniform conditions at the inlet plane and the second, C2, by a flow characterized by a defined inlet boundary layer profile. The code used for the simulations is based on the Discontinuous Galerkin (DG) formulation and solves the Reynolds-averaged Navier-Stokes (RANS) equations coupled with the Spalart Allmaras turbulence model. Secondly, this work aims at estimating the influence of viscosity and turbulence on the T106A end-wall flow field. In order to do so, RANS results are compared with those obtained from an inviscid simulation with a prescribed inlet total pressure profile, which mimics a boundary layer. A comparison between C1 and C2 results highlights an influence of secondary flows on the flow field up to a significant distance from the end-wall. In particular, the C2 end-wall flow field appears to be characterized by greater over turning and under turning angles and higher total pressure losses. Furthermore, the C2 simulated flow field shows good agreement with experimental and numerical data available in literature. The C2 and inviscid Euler computed flow fields, although globally comparable, present evident differences. The cascade passage simulated with inviscid flow is mainly dominated by a single large and homogeneous vortex structure, less stretched in the spanwise direction and closer to the end-wall than vortical structures computed by compressible flow simulation. It is reasonable, then, asserting that for the chosen test case a great part of the secondary flows details is strongly dependent on viscous phenomena and turbulence.

머신러닝 기반의 강우추정 방법 개발 (Development of Machine Learning Based Precipitation Imputation Method)

  • 한희찬;김창주;김동현
    • 한국습지학회지
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    • 제25권3호
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    • pp.167-175
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    • 2023
  • 강우 데이터는 습지관리, 수문모의, 수자원 관리와 같은 다양한 분야에서 활용되는 필수 입력자료 중 하나이다. 강우 데이터를 활용하여 효율적인 수자원관리를 위해서는 기본적으로 데이터의 결측률을 최소화 시킴으로써 최대한 많은 데이터를 확보하는 것이 필수적이다. 또한 미계측 지역에 대한 강우 데이터를 확보한다면 보다 효율적인 수문모의가 가능하다. 그러나 결측 강우 데이터는 주로 통계학적 기법에 의해 추정되어 왔다. 본 연구의 목적은 데이터 간의 상관관계를 기반으로 새로운 데이터를 예측할 수 있는 머신러닝 알고리즘을 활용하여 결측 강우 데이터를 복원할 수 있는 새로운 방법을 제안하고자 한다. 또한, 기존의 통계적 방법들과 비교하여 머신러닝 기법의 결측 강우 데이터 복원을 위한 활용가치를 평가하고자 한다. 평가를 위해 대표적인 머신러닝 알고리즘인 Artificial Neural Network (ANN)과 Random Forest (RF)을 적용하였다. 강우의 발생 유무를 분류하는 성능은 RF 알고리즘이 ANN 알고리즘보다 강우 발생유무의 분류 정확도가 높은 것으로 나타났다. 분류 모형의 평가 지표인 F1-score나 Accuracy값이 RF는 0.80, 0.77인 반면에, ANN은 0.76, 0.71로 계산되었다. 또한 강우량을 추정하는 성능 역시 RF가 ANN 알고리즘보다 보다 높은 정확도를 보였다. RF과 ANN 알고리즘의 RMSE은 2.8mm/day과 2.9mm/day이고, R2값은 0.73, 0.68으로 계산되었다.

Comparative Performance of Susceptibility Map-Weighted MRI According to the Acquisition Planes in the Diagnosis of Neurodegenerative Parkinsonism

  • Suiji Lee;Chong Hyun Suh;Sungyang Jo;Sun Ju Chung;Hwon Heo;Woo Hyun Shim;Jongho Lee;Ho Sung Kim;Sang Joon Kim;Eung Yeop Kim
    • Korean Journal of Radiology
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    • 제25권3호
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    • pp.267-276
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    • 2024
  • Objective: To evaluate the diagnostic performance of susceptibility map-weighted imaging (SMwI) taken in different acquisition planes for discriminating patients with neurodegenerative parkinsonism from those without. Materials and Methods: This retrospective, observational, single-institution study enrolled consecutive patients who visited movement disorder clinics and underwent brain MRI and 18F-FP-CIT PET between September 2021 and December 2021. SMwI images were acquired in both the oblique (perpendicular to the midbrain) and the anterior commissure-posterior commissure (AC-PC) planes. Hyperintensity in the substantia nigra was determined by two neuroradiologists. 18F-FP-CIT PET was used as the reference standard. Inter-rater agreement was assessed using Cohen;s kappa coefficient. The diagnostic performance of SMwI in the two planes was analyzed separately for the right and left substantia nigra. Multivariable logistic regression analysis with generalized estimating equations was applied to compare the diagnostic performance of the two planes. Results: In total, 194 patients were included, of whom 105 and 103 had positive results on 18F-FP-CIT PET in the left and right substantia nigra, respectively. Good inter-rater agreement in the oblique (κ = 0.772/0.658 for left/right) and AC-PC planes (0.730/0.741 for left/right) was confirmed. The pooled sensitivities for two readers were 86.4% (178/206, left) and 83.3% (175/210, right) in the oblique plane and 87.4% (180/206, left) and 87.6% (184/210, right) in the AC-PC plane. The pooled specificities for two readers were 83.5% (152/182, left) and 82.0% (146/178, right) in the oblique plane, and 83.5% (152/182, left) and 86.0% (153/178, right) in the AC-PC plane. There were no significant differences in the diagnostic performance between the two planes (P > 0.05). Conclusion: There are no significant difference in the diagnostic performance of SMwI performed in the oblique and AC-PC plane in discriminating patients with parkinsonism from those without. This finding affirms that each institution may choose the imaging plane for SMwI according to their clinical settings.

Association between hearing loss and high-sensitivity C-reactive protein: the Kangbuk Samsung Cohort Study

  • Jihoon Kim;Yesung Lee;Eunhye Seo;Daehoon Kim;Jaehong Lee;Youshik Jeong;Seonghyun Kwon;Jinsook Jeong;Woncheol Lee
    • Annals of Occupational and Environmental Medicine
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    • 제35권
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    • pp.38.1-38.10
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    • 2023
  • Background: Hearing loss (HL) is linked to an elevated risk of cardiovascular diseases (CVDs). The pathogeneses of HL and CVD commonly involve inflammatory responses. Previous studies investigated elevated levels of inflammatory biomarkers in subjects with HL, however, their findings did not demonstrate statistical significance. In our cross-sectional and longitudinal study, we investigated the correlation between HL and increased high-sensitivity C-reactive protein (hsCRP) levels to determine how HL is associated with CVDs. Methods: We conducted a cross-sectional study with workers aged over 18 years who underwent health check-ups at our institution between 2012 and 2018 (n = 566,507), followed by conducting a longitudinal study of workers aged > 18 who underwent health checkups at least twice at our institution between 2012 and 2018 (n = 173,794). The definition of HL was as an average threshold of ≥ 20 dB in pure-tone air conduction at 0.5, 1.0, and 2.0 kHz in both ears. The incidence of increased hsCRP levels throughout the follow-up period was defined as a level exceeding 3 mg/L. Logistic regression and generalized estimating equations were performed to estimate the risk of increased hsCRP levels according to the occurrence of HL in groups stratified by age. Results: In the cross-sectional study, the multivariate-adjusted odds ratio (OR) was 1.17 (95% confidence interval [CI]: 1.02-1.34); the OR was 0.99 (95% CI: 0.80-1.22) in those under 40 and 1.28 (1.08-1.53) in those over 40. In the longitudinal study, the multivariable-adjusted OR was 1.05 (95% CI: 0.92-1.19); the OR was 1.10 (95% CI: 0.90-1.35) in those under 40 and 1.20 (1.01-1.43) in those over 40. Conclusions: This cross-sectional and longitudinal study identified an association between HL and increased hsCRP levels in workers aged over 40 years.

Allometric equation for estimating aboveground biomass of Acacia-Commiphora forest, southern Ethiopia

  • Wondimagegn Amanuel;Chala Tadesse;Moges Molla;Desalegn Getinet;Zenebe Mekonnen
    • Journal of Ecology and Environment
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    • 제48권2호
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    • pp.196-206
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    • 2024
  • Background: Most of the biomass equations were developed using sample trees collected mainly from pan-tropical and tropical regions that may over- or underestimate biomass. Site-specific models would improve the accuracy of the biomass estimates and enhance the country's measurement, reporting, and verification activities. The aim of the study is to develop site-specific biomass estimation models and validate and evaluate the existing generic models developed for pan-tropical forest and newly developed allometric models. Total of 140 trees was harvested from each diameter class biomass model development. Data was analyzed using SAS procedures. All relevant statistical tests (normality, multicollinearity, and heteroscedasticity) were performed. Data was transformed to logarithmic functions and multiple linear regression techniques were used to develop model to estimate aboveground biomass (AGB). The root mean square error (RMSE) was used for measuring model bias, precision, and accuracy. The coefficient of determination (R2 and adjusted [adj]-R2), the Akaike Information Criterion (AIC) and the Schwarz Bayesian information Criterion was employed to select most appropriate models. Results: For the general total AGB models, adj-R2 ranged from 0.71 to 0.85, and model 9 with diameter at stump height at 10 cm (DSH10), ρ and crown width (CW) as predictor variables, performed best according to RMSE and AIC. For the merchantable stem models, adj-R2 varied from 0.73 to 0.82, and model 8) with combination of ρ, diameter at breast height and height (H), CW and DSH10 as predictor variables, was best in terms of RMSE and AIC. The results showed that a best-fit model for above-ground biomass of tree components was developed. AGBStem = exp {-1.8296 + 0.4814 natural logarithm (Ln) (ρD2H) + 0.1751 Ln (CW) + 0.4059 Ln (DSH30)} AGBBranch = exp {-131.6 + 15.0013 Ln (ρD2H) + 13.176 Ln (CW) + 21.8506 Ln (DSH30)} AGBFoliage = exp {-0.9496 + 0.5282 Ln (DSH30) + 2.3492 Ln (ρ) + 0.4286 Ln (CW)} AGBTotal = exp {-1.8245 + 1.4358 Ln (DSH30) + 1.9921 Ln (ρ) + 0.6154 Ln (CW)} Conclusions: The results demonstrated that the development of local models derived from an appropriate sample of representative species can greatly improve the estimation of total AGB.

Association between coronavirus disease 2019-related workplace interventions and prevalence of depression and anxiety

  • Hyun Woo Park;Seung Hyun Park;Young Wook Kim;JunSeok Son;Chan Woo Kim;Hyoung Ouk Park;Jun Ho Lee;Young Hoo Shin;Chang Ho Chae;Eui Yup Chung;Hun Jeong
    • Annals of Occupational and Environmental Medicine
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    • 제34권
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    • pp.11.1-11.9
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    • 2022
  • Background: Although coronavirus disease 2019 is causing a variety of psychological problems for workers, there are few longitudinal studies on changes in workers' mental health by workplace intervention. This study aimed to evaluate the change in the prevalence of depression and anxiety according to the active involvement of the workplace. Methods: This study was conducted on 1,978 workers at a workplace who underwent a health screening from January 2019 to August 2020, and classified depression and anxiety disorders using a self-report questionnaire. After the first pandemic, the company stopped health screening, took paid leave and telecommuting, and conducted interventions such as operating its own screening clinic. To see if this workplace intervention affects workers' mental health, we conducted generalized estimating equations to compare odds ratio (OR). Results: In the pre-intervention group, 384 people (16.86%) had depression, and 507 people (22.26%) had anxiety disorder. Based on the OR before intervention, the OR of depression decreased to 0.76 (0.66-0.87) and the OR of anxiety disorder decreased to 0.73 (0.65-0.82). Conclusions: As a result of this study, it was confirmed that workplace intervention was related to a decrease in depression and anxiety. This study provides basic data to improve workers' mental health according to workplace intervention, and further research is needed according to workplace intervention in the future.

태양에너지를 이용한 곡물건조시스템의 시뮬레이션에 관한 연구 (Simulation of Drying Grain with Solar-Heated Air)

  • 금동혁;김용운
    • Journal of Biosystems Engineering
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    • 제4권2호
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    • pp.65-83
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    • 1979
  • Low-temperature drying systems have been extensively used for drying cereal grain such as shelled corn and wheat. Since the 1973 energy crisis, many researches have been conducted to apply solar energy as supplemental heat to natural air drying systems. However, little research on rough rice drying has been done in this area, especially very little in Korea. In designing a solar drying system, quality loss, airflow requirements, temperature rise of drying air, fan power and energy requirements should be throughly studied. The factors affecting solar drying systems are airflow rate, initial moisture content, the amount of heat added to drying air, fan operation method and the weather conditions. The major objectives of this study were to analyze the effects of the performance factors and determine design parameters such as airflow requirements, optimum bed depth, optimum temperature rise of drying air, fan operation method and collector size. Three hourly observations based on the 4-year weather data in Chuncheon area were used to simulate rough rice drying. The results can be summarized as follows: 1. The results of the statistical analysis indicated that the experimental and predicted values of the temperature rise of the air passing through the collector agreed well. 2. Equilibrium moisture content was affected a little by airflow rate, but affected mainly by the amount of heat added, to drying air. Equilibrium moisture content ranged from 12.2 to 13.2 percent wet basis for the continuous fan operation, from 10.4 to 11.7 percent wet basis for the intermittent fan operation respectively, in range of 1. 6 to 5. 9 degrees Centigrade average temperature rise of drying air. 3. Average moisture content when top layer was dried to 15 percent wet basis ranged from 13.1 to 13.9 percent wet basis for the continuous fan operation, from 11.9 to 13.4 percent wet basis for the intermittent fan operation respectively, in the range of 1.6 to 5.9 degrees Centigrade average temperature rise of drying air and 18 to 24 percent wet basis initial moisture content. The results indicated that grain was overdried with the intermittent fan operation in any range of temperature rise of drying air. Therefore, the continuous fan operation is usually more effective than the intermittent fan operation considering the overdrying. 4. For the continuous fan operation, the average temperature rise of drying air may be limited to 2.2 to 3. 3 degrees Centigrade considering safe storage moisture level of 13.5 to 14 perceut wet basis. 5. Required drying time decrease ranged from 40 to 50 percent each time the airflow rate was doubled and from 3.9 to 4.3 percent approximately for each one degrees Centigrade in average temperature rise of drying air regardless of the fan operation methods. Therefore, the average temperature rise of drying air had a little effect on required drying time. 6. Required drying time increase ranged from 18 to 30 percent approximately for each 2 percent increase in initial moisture content regardless of the fan operation methods, in the range of 18 to 24 percent moisture. 7. The intermittent fan operation showed about 36 to 42 percent decrease in required drying time as compared with the continuous fan operation. 8. Drymatter loss decrease ranged from 34 to 46 percent each time the airflow rate was doubled and from 2 to 3 percent approximately for each one degrees Centigrade in average temperature rise of drying air, regardless of the fan operation methods. Therefore, the average temperature rise of drying air had a little effect on drymatter loss. 9. Drymatter loss increase ranged from 50 to 78 percent approximately for each 2 percent increase in initial moisture content, in the range of 18 to 24 percent moisture. 10. The intermittent fan operation: showed about 40 to 50 percent increase in drymatter loss as compared with the continuous fan operation and the increasing rate was higher at high level of initial moisture and average temperature rise. 11. Year-to-year weather conditions had a little effect on required drying time and drymatter loss. 12. The equations for estimating time required to dry top layer to 16 and 1536 wet basis and drymatter loss were derived as functions of the performance factors. by the least square method. 13. Minimum airflow rates based on 0.5 percent drymatter loss were estimated. Minimum airflow rates for the intermittent fan operation were approximately 1.5 to 1.8 times as much as compared with the continuous fan operation, but a few differences among year-to-year. 14. Required fan horsepower and energy for the intermittent fan operation were 3. 7 and 1. 5 times respectively as much as compared with the continuous fan operation. 15. The continuous fan operation may be more effective than the intermittent fan operation considering overdrying, fan horsepower requirements, and energy use. 16. A method for estimating the required collection area of flat-plate solar collector using average temperature rise and airflow rate was presented.

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태양에너지를 이용한 곡물건조시스템의 시뮬레이션에 관한 연구 (Simulation of Drying Grain with Solar-Heated Air)

  • 금동혁
    • Journal of Biosystems Engineering
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    • 제4권2호
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    • pp.64-64
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    • 1979
  • Low-temperature drying systems have been extensively used for drying cereal grain such as shelled corn and wheat. Since the 1973 energy crisis, many researches have been conducted to apply solar energy as supplemental heat to natural air drying systems. However, little research on rough rice drying has been done in this area, especially very little in Korea. In designing a solar drying system, quality loss, airflow requirements, temperature rise of drying air, fan power and energy requirements should be throughly studied. The factors affecting solar drying systems are airflow rate, initial moisture content, the amount of heat added to drying air, fan operation method and the weather conditions. The major objectives of this study were to analyze the effects of the performance factors and determine design parameters such as airflow requirements, optimum bed depth, optimum temperature rise of drying air, fan operation method and collector size. Three hourly observations based on the 4-year weather data in Chuncheon area were used to simulate rough rice drying. The results can be summarized as follows: 1. The results of the statistical analysis indicated that the experimental and predicted values of the temperature rise of the air passing through the collector agreed well.2. Equilibrium moisture content was affected a little by airflow rate, but affected mainly by the amount of heat added, to drying air. Equilibrium moisture content ranged from 12.2 to 13.2 percent wet basis for the continuous fan operation, from 10.4 to 11.7 percent wet basis for the intermittent fan operation respectively, in range of 1. 6 to 5. 9 degrees Centigrade average temperature rise of drying air.3. Average moisture content when top layer was dried to 15 percent wet basis ranged from 13.1 to 13.9 percent wet basis for the continuous fan operation, from 11.9 to 13.4 percent wet basis for the intermittent fan operation respectively, in the range of 1.6 to 5.9 degrees Centigrade average temperature rise of drying air and 18 to 24 percent wet basis initial moisture content. The results indicated that grain was overdried with the intermittent fan operation in any range of temperature rise of drying air. Therefore, the continuous fan operation is usually more effective than the intermittent fan operation considering the overdrying.4. For the continuous fan operation, the average temperature rise of drying air may be limited to 2.2 to 3. 3 degrees Centigrade considering safe storage moisture level of 13.5 to 14 perceut wet basis.5. Required drying time decrease ranged from 40 to 50 percent each time the airflow rate was doubled and from 3.9 to 4.3 percent approximately for each one degrees Centigrade in average temperature rise of drying air regardless of the fan operation methods. Therefore, the average temperature rise of drying air had a little effect on required drying time.6. Required drying time increase ranged from 18 to 30 percent approximately for each 2 percent increase in initial moisture content regardless of the fan operation methods, in the range of 18 to 24 percent moisture.7. The intermittent fan operation showed about 36 to 42 percent decrease in required drying time as compared with the continuous fan operation.8. Drymatter loss decrease ranged from 34 to 46 percent each time the airflow rate was doubled and from 2 to 3 percent approximately for each one degrees Centigrade in average temperature rise of drying air, regardless of the fan operation methods. Therefore, the average temperature rise of drying air had a little effect on drymatter loss. 9. Drymatter loss increase ranged from 50 to 78 percent approximately for each 2 percent increase in initial moisture content, in the range of 18 to 24 percent moisture. 10. The intermittent fan operation: showed about 40 to 50 percent increase in drymatter loss as compared with the continuous fan operation and the increasing rate was higher at high level of initial moisture and average temperature rise.11. Year-to-year weather conditions had a little effect on required drying time and drymatter loss.12. The equations for estimating time required to dry top layer to 16 and 1536 wet basis and drymatter loss were derived as functions of the performance factors. by the least square method.13. Minimum airflow rates based on 0.5 percent drymatter loss were estimated.Minimum airflow rates for the intermittent fan operation were approximately 1.5 to 1.8 times as much as compared with the continuous fan operation, but a few differences among year-to-year.14. Required fan horsepower and energy for the intermittent fan operation were3. 7 and 1. 5 times respectively as much as compared with the continuous fan operation.15. The continuous fan operation may be more effective than the intermittent fan operation considering overdrying, fan horsepower requirements, and energy use.16. A method for estimating the required collection area of flat-plate solar collector using average temperature rise and airflow rate was presented.

산악기상자료와 목재평형함수율에 기반한 산림연료습도 추정식 개발 (Modeling and mapping fuel moisture content using equilibrium moisture content computed from weather data of the automatic mountain meteorology observation system (AMOS))

  • 이훈택;원명수;윤석희;장근창
    • 한국지리정보학회지
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    • 제22권3호
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    • pp.21-36
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    • 2019
  • 본 연구는 산불 위험 예측의 주요 인자인 10시간 사연료습도(10-h FMC)를 산악기상관측망 기상자료로 추정하는 방법을 마련하기 위해 수행되었다. 안성(도심지)과 홍릉 두 지점(숲 속, 숲 밖)의 자동기상관측소에서 기상인자와 10-h FMC를 측정하고 이를 이용해 10-h FMC 추정식을 도출했다. 도출한 추정식을 이용해 지난 6년간(2013~2018년) 산불발생 다발일의 10-h FMC를 분석하고 전국 10-h FMC 지도를 제작했다. 기상인자(기온, 풍속, 목재평형함수율, 강우량)와 10-h FMC의 회귀분석 결과 목재평형함수율이 가장 효율적으로 10-h FMC를 설명했음을 확인했다. 목재평형함수율을 이용해 도출한 10-h FMC 추정식은 모형 적합과 검증과정 모두에서 높은 적합도를 보였다. 각 연구지의 추정식을 서로 다른 연구지에 적용하면 모형의 적합도가 같은 연구지에서 만든 식을 적용했을 때보다 줄어들었지만 여전히 만족할 만한 결과를 보였다. 본 연구의 회귀식은 10-h FMC와 목재평형함수율 사이 강우 후 건조반응 차이와 식생 유무가 10-h FMC에 미치는 영향을 반영하지 못해 적합도가 줄어든 것으로 나타났다. 마지막으로 도출한 추정식을 사용한 공간분석을 통해 지난 6년간 산불발생 다발일의 산불 중 70% 이상이 10.5% 이하의 10-h FMC 조건에서 발생했음을 확인했다. 본 연구 결과는 산악기상관측망과 연계하여 전국 산지의 10-h FMC를 추정하는 데 사용할 수 있다. 10-h FMC는 산불 위험 예측 기초 연구 자료로 활용되어 재해 관련 국가 정책 결정에 기여할 것으로 판단된다.