• 한국농공학회논문집
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• 제46권4호
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• pp.25-36
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• 2004

This study was conducted to derive the design rainfall by the consecutive duration using the at-site frequency analysis. Using the errors, K-S tests and LH-moment ratios, Log Pearson type 3 (LP3) and Generalized Extreme Value (GEV) distributions of Gamma and Non-Gamma Family, respectively were identified as the optimal probability distributions among applied distributions. Parameters of GEV and LP3 distributions were estimated by the method of L and LH-moments and the Indirect method of moments respectively. Design rainfalls following the consecutive duration were derived by at-site frequency analysis using the observed and simulated data resulted from Monte Carlo techniques. Relative root-mean-square error (RRMSE) and relative efficiency (RE) in RRMSE for the design rainfall derived by at-site analysis in the observed and simulated data were computed and compared. It has shown that at-site frequency analysis by GEV distribution using L-moments is confirmed as more reliable than that of GEV and LP3 distributions using LH-moments and Indirect method of moments in view of relative efficiency.

• 한국농공학회지
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• 제26권4호
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• pp.52-65
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• 1984

In general precise estimation of hourly of daily distribution of the long-term run-off should be very important in a design of source of irrigation. However, there have not been a satisfying method for forecasting of stationar'y long-term run-off in Korea. Solving this problem, this study introduces unit-hydrograph method frequently used in short-term run-off analysis into the long-term run-off analysis, of which model basin was selected to be Sumgin-river catchment area. In the estimation of effective rainfall, conventional method neglects the Soil moisture condition of catchment area, but in this study, the initial discharge (qb) occurred just before rising phase of the hydrograph was selected as the index of a basin soil moisture condition and then introduced as 3rd variable in the analysis of the reationship between cumulative rainfall and cumulative loss of rainfall, which built a new type of separation method of effective rainfall. In next step, in order to normalize significant potential error included in hydrological data, especially in vast catchment area, Snyder's correlation method was applied. A key to solution in this study is multiple correlation method or multiple regressional analysis, which is primarily based on the method of least squres and which is solved by the form of systems of linear equations. And for verification of the change of characteristics of unit hydrograph according to the variation of a various kind of hydrological charateristics (for example, precipitation, tree cover, soil condition, etc),seasonal unit hydrograph models of dry season(autumn, winter), semi-dry season (spring), rainy season (summer) were made respectively. The results obtained in this study were summarized as follows; 1.During the test period of 1966-1971, effective rainfall was estimated for the total 114 run-off hydrograph. From this estimation results, relative error of estimation to the ovservation value was 6%, -which is mush smaller than 12% of the error of conventional method. 2.During the test period, daily distribution of long-term run-off discharge was estimated by the unit hydrograph model. From this estimation results, relative error of estimation by the application of standard unit hydrograph model was 12%. When estimating by each seasonal unit bydrograph model, the relative error was 14% during dry season 10% during semi-dry season and 7% during rainy season, which is much smaller than 37% of conventional method. Summing up the analysis results obtained above, it is convinced that qb-index method of this study for the estimation of effective rainfall be preciser than any other method developed before. Because even recently no method has been developed for the estimation of daily distribution of long-term run-off dicharge, therefore estimation value by unit hydrograph model was only compared with that due to kaziyama method which estimates monthly run-off discharge. However this method due to this study turns out to have high accuracy. If specially mentioned from the results of this study, there is no need to use each seasonal unit hydrograph model separately except the case of semi-dry season. The author hopes to analyze the latter case in future sudies.

• 생태와환경
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• 제36권3호통권104호
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• pp.257-268
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• 2003

하천형 저수지 (팔당호)에서 탁도의 변동과 탁수에 포함된 입자의 분포를 파악하기 위해 1999${\sim}$2001년동안 일 모니터링 하였다. 수중 탁도와 탁수의 입자 분포는 강우 패턴의 기후학적 요인과 유입${\cdot}$방류량의 수문학적요인 영향이 중요하게 작용하였다. 탁도의 연 평균 농도는 매년 비슷하였고, 연중 10 NTU 이하는 85.0%를 차지하였다. < 5 NTU는 겨울철${\sim}$봄철에, 5${\sim}$10 NTU범위는 가을철에, > 20 NTU이상은 여름철에 우점하는 계절적 특성이 뚜렷하였다. 탁도의 최대값은 7월 하순${\sim}$8월 초순에 발생하였고, 수문 변동과 달리 1999년에서 2001년으로 갈수록 증가하였다. 특히, 2001년에 저수지의 최대탁도는 하류로 갈수록 더욱 증가하는 양상이 현저하였다. 또한, 1999년에는 유량과 탁도가 완만하게 증감되었으나, 2000년과 2001년에는 초기에 급격하게 증가한 후 유량이 커지면서 감소하는 패턴을 보였다. 탁수의 입자는 전 정점에서 clay성분으로 갈수록 분포가 더욱 조밀하였을 뿐만 아니라 차지하는 비율도 높았다. 탁수에서clay는 63.9${\sim}$66.6%, silt는 33.4${\sim}$36.1% 범위로서 총 입자수의 98.9${\sim}$100%범위를 차지하였고, sand는 1.1%이내이었다. 하천형 저수지에서 수중 탁도는 비강우기에 플랑크톤의 생물량에 의한 영향을 많이 받으나 강우기에는 토양 성분을 근간으로 하는 무기입자의 양과 상대적 비율이 매우 우세한 것으로 평가되었다.

• Journal of Forest and Environmental Science
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• 제28권3호
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• pp.179-184
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• 2012

Dipterocarps (Dipterocarpaceae) is a dominant tree family of tropical rainforest in Southeast Asia. Dipterocarps have been exploited for its timber and disappearing fast in East Kalimantan. In this study, we predicted the distribution of dipterocarpus, one of the main dipterocarps genera, by evaluating its habitat suitability using logistic regression analysis with specimen collection points and environmental factors from GIS data. Current distribution of dipterocarpus was generated by combining the habitat suitability classes with an updated forest cover map. Rainfall, soil type, followed by elevation was the main factors that influence the distribution of dipterocarpus in East Kalimantan. Dipterocarpus can be found in a quarter of the current forest cover, which is highly suitable as habitat of Dipterocarpus.

• Journal of Ecology and Environment
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• 제48권1호
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• pp.60-73
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• 2024

Background: The available information on terrestrial pest gastropods and their impact on the environment worldwide is scarce and outdated. The present study aimed to address this gap by conducting the first comprehensive survey of pest gastropods in the Nuwara Eliya District, an important vegetable growing area in the highlands of Sri Lanka. Eighty agricultural lands were surveyed over two years by establishing ten 1 m2 sampling plots per crop type in each agricultural land. Geo-coordinates, air temperature, elevation, relative humidity, daily rainfall, soil pH, species richness and abundance were recorded for rainy and non-rainy periods. The relationship between species composition and environmental variables was analyzed using multi-regression models and distribution maps. Results: Out of the 14 species recorded in agricultural lands, nine were identified as exotic pest species. Species abundance (t = 4.69, p < 0.05) and diversity was higher in the rainy period and the dominant species during this period were Bradybaena similaris (t = 2.69, p < 0.05) and Deroceras reticulatum (t = 2. 46, p < 0.05). Eggs and estivating adults were found in soil and under decaying organic matter during the non-rainy period. The exotic species showed broader preferences for the measured environmental factors and showed a wider range in distribution compared to the native species. Variation in pest gastropod composition was significantly accounted for by elevation, relative humidity, soil pH and daily rainfall. Additionally, the species richness and abundance varied across locations due to the combined effects of elevation, crop type and stage, and field type. Conclusions: The study emphasizes the importance of understanding the biology and ecology of gastropod pests to develop effective management strategies. By considering the influence of environmental factors and implementing appropriate soil management techniques, such as targeting specific habitats and crop stages, it is possible to mitigate pest populations and minimize their impact on agricultural lands. Overall, this research contributes valuable insights into the dynamics and interactions of terrestrial gastropods in agricultural ecosystems, supporting sustainable pest management practices.

• 한국수자원학회논문집
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• 제45권1호
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• pp.53-64
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• 2012

본 연구 (II)에서는 앞선 연구 (I)에서 개발된 지표 및 지표하 유출해석 모듈의 적용성과 수치해석적인 안정성에 대한 분석하였다. 개발 모듈의 유출해석에서 기존 강우-유출해석 모형에 비해 특징적인 침투해석에 관한 모의를 위해 침투해석 방식이 서로 다른 FFC2Q 모형과 $Vflo^{TM}$을 비교대상으로 선정하여 동일한 투수층 유역에 적용하여 모의 결과를 비교분석해 보았으며, 강우의 크기와 토양의 유효토심 및 강우발생시점부터 강우종료 후 경과시간에 대한 모의조건을 설정하여 개발모듈의 적용성과 해석결과의 안정성을 검토해 보았다. 이상의 테스트에서 본 연구의 개발 모듈은 침투과정을 물리적으로 나타내는 전형적인 형태를 잘 나타내었으며, 토양조건 별 포화시점도 상이하였고, 수두가 증가되는 기울기도 다르게 구현함으로써 토양별 특성치를 비교적 잘 보여주었다. 또한, 강우강도가 유출에 미치는 영향과 시간분포에 대한 모의결과도 잘 반영하였으며, 마지막으로 타 모형과의 비교결과에서도 강우-유출해석에 대한 정확도가 높게 평가될 만한 결과를 도출하였다.

• 한국습지학회지
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• 제17권3호
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• pp.251-263
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• 2015

본 연구에서는 L-moment ratio diagram 기법과 지형정보시스템(GIS)을 동시에 활용하여 우리나라의 지속기간별 연 최대강우량의 최적확률밀도함수를 판별하는 새로운 기법을 제안하고, 결과 도출과정에 있어 발견된 연최대강우량의 통계값의 흥미로운 지형학적 특성을 살펴보았다. 이를 위하여 우리나라 기상청에서 운영하는 67개의 강우관측지점에서 관측된 강우자료의 연최대강우량을 1시간, 3시간, 6시간, 12시간, 24시간 누적시간에 대하여 산출하고, L-moment ratio diagram 기법을 활용하여 이들에 대한 최적확률밀도함수를 구한 후, 이를 관측지점에 해당하는 티센 다각형에 다른 색상으로 표현하여 그 공간적 분포를 살펴보았다. 또한, 각 후보 확률밀도함수의 적합도에 대한 지도를 작성하였다. 본 연구의 결과를 요약하면 다음과 같다: (1) 강우의 극한값의 특성을 대표할 수 있는 통계값인 L-skewness와 L-kurtosis는 뚜렷한 공간적 경향을 띠고 있다. 특히 산맥을 포함한 우리나라의 지형적 특성에 큰 영향을 받았다. 이는 발생빈도가 높고 강도가 낮은 평상시의 강우사상뿐 만 아니라, 연최대강우량 또한 지형의 영향을 크게 받는다는 것을 의미한다; (2) 우리나라의 산악지역에서는 연최대강우량의 통계적 특성에 대한 고도의 영향이 비산악지역보다 더 크며, 고도가 높은 지역일수록 발생 빈도가 낮고 강도가 강한 강우사상이 더 자주 발생하며, 강우의 누적기간이 증가할수록 이러한 경향은 작아졌다; (3) 우리나라의 연최대강우량을 가장 잘 대변할 수 있는 확률밀도함수는 Generalized Extreme Value (GEV) 분포와 Generalized Logistic (GLO) 분포이다. 단, 남해안의 중앙지역에 대해서는 Generalized Pareto (GPA) 분포가 가장 적합한 것으로 나타났다.

• 한국수자원학회논문집
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• 제37권9호
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• pp.695-706
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• 2004

본 연구는 실측자료가 확보된 중규모 하천유역에서 최대 첨두유량을 발생시키는 설계강우의 시간분포모형을 밝혀내고, 결정된 시간분포모형을 바탕으로 하여 유역특성과 임계지속기간의 관계를 규명하는 것이다. 50-5,000$\textrm{km}^2$의 44개 유역을 통하여 수문분석을 실시하였으며, SCS 유효우량 산정방법으로 결정된 유효우량을 사용하여 최대 첨두유량을 발생시키는 시간분포모형은 Huff의 4분위 시간분포모형으로 나타났다. 유역면적 50-600$\textrm{km}^2$인 유역에서는 24시간 강우지속기간의 첨두유량과 임계지속기간의 첨두유량은 유사한 값을 보이며, 유역면적 600-5,000$\textrm{km}^2$인 유역에서는 48시간 강우지속기간의 첨두유량과 임계지속기간의 첨두유량이 유사한 값을 보였다. AMC III 조건의 유효우량에 대하여 높은 상관성을 지니는 유역면적과 임계지속기간의 관계식을 유도하였으며, 유역면적 50-5,000$\textrm{km}^2$이 중규모 하천유역에서 임계지속기간을 결정하는데 유용한 식으로 이용될 수 있을 것으로 판단된다. 또한, 단위도 특성치를 이용한 무차원 회귀식을 유도하였다.

• 한국산업융합학회 논문집
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• 제2권1호
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• pp.35-43
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• 1999

The purpose of this study is to derive the optimal methodology estimating the changes of fluvial hydraulic characteristics due to semi-covering work of urban stream. First, after collecting the data of the daily maximum rainfall of Chungju gaging station, the frequency analysis was carried out with frequency factor method, which includes normal, two-parameter and three-parameter lognormal, Gumbel-Chow, pearson type III, log-pearson type III distribution, and the goodness of fit test was executed by $x^2$-test and Kormogorov-Smimov test. Using the SCS method, the effective rainfall was estimated and the peak flow was calculated by the area-routing method. The HEC-2 model was applied to calculate water surface profiles for steady, gradually varied flow at Kyohyun river system in Chungju city. The model was applied to floodplain and riverbed management to evaluate flood way encroachments and to delineate flood hazard by riverside roadway construction. The model also was used to evaluate effects on water surface profiles of river improvement and levees as well as the presence of bridges or other hydraulic structures in the floodplain.

• Communications for Statistical Applications and Methods
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• 제25권4호
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• pp.355-371
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• 2018

The two parameter negative exponential distribution has many practical applications in queuing theory such as the service times of agents in system, the time it takes before your next telephone call, the time until a radioactive practical decays, the distance between mutations on a DNA strand, and the extreme values of annual snowfall or rainfall; consequently, has many applications in reliability systems. This paper considers an estimation problem of stress-strength model with two parameter negative parameter exponential distribution. We introduce a maximum penalized likelihood method, Bayes estimator using Lindley approximation to estimate stress-strength model and compare the proposed estimators with regular maximum likelihood estimator for complete data. We also introduce a maximum penalized likelihood method, Bayes estimator using a Markov chain Mote Carlo technique for incomplete data. A Monte Carlo simulation study is performed to compare stress-strength model estimates. Real data is used as a practical application of the proposed model.