• 한국농공학회지
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• 제30권4호
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• pp.45-61
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• 1988

The purpose of this study is to develop regression equations between annual specific sedi- ment of reservoirs and physiographic factors of watersheds. 122 irrigation reservoirs, which have irrigation areas equal to or larger than 200 ha, located in Korea except Cheju province are used in the analysis. Simple regression analyses between the specific annual sediment and each of the physical characteristic factors of the reservoirs are carried out at first. Then, multiple regression analyses between the annual specific sediment and the physical characteristic factors with high correlation coefficients in the simple regression analyses are made. The results obtained from this study are as follows : 1. The results of the sirnple regression analyses show that in each province the watershed area, the length of mainstream, the circumferential length of watershed have high cor- relation coefficients (R=0.814-0.986), and that drainage density, reservoir capacity per watershed area, drainage frequency, basin relief have low correlation coefficients (R=0. 387-0.955). 2. The purposed multiple regression equations between the annual specific sediment of reservoirs and three major characteritic factors of watersheds, namely, the watershed area, the circumferential length of watershed, and the length of mainstream, are proposed as given in Table 2. 3. The result of the simple regression analyses with respect to the reservoir elevation except Jeonnam province, which has very different characteristics comparing to other provinces, shows that watershed area, main stream length and circumferential length have high correlation coefficients (R=0.806-0.884) in low-elevation reservoirs and intermediate- elevation reservoirs, but low correlation coefficients (R=0.639-0.739) in high-elevation reservoirs. 4. With respect to the reservoir elevation, the proposed multiple regression equations bet- ween the annual specific sediment of reservoirs and the three major characteristic factors of watershed which have high correlation coefficients are proposed as given in Table 5.

• 상하수도학회지
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• 제34권6호
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• pp.503-512
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• 2020

Identifying the water circulation status is one of the indispensable processes for watershed management in an urban area. Recently, various water circulation models have been developed to simulate the water circulation, but it takes a lot of time and cost to make a water circulation model that could adapt the characteristics of the watershed. This paper aims to develop a water circulation state estimation model that could easily calculate the status of water circulation in an urban watershed by using multiple linear regression analysis. The study watershed is a watershed in Seoul that applied the impermeable area ratio in 1962 and 2000. And, It was divided into 73 watersheds in order to consider changes in water circulation status according to the urban characteristic factors. The input data of the SHER(Similar Hydrologic Element Response) model, a water circulation model, were used as data for the urban characteristic factors of each watershed. A total of seven factors were considered as urban characteristic factors. Those factors included annual precipitation, watershed area, average land-surface slope, impervious surface ratio, coefficient of saturated permeability, hydraulic gradient of groundwater surface, and length of contact line with downstream block. With significance probabilities (or p-values) of 0.05 and below, all five models showed significant results in estimating the water circulation status such as the surface runoff rate and the evapotranspiration rate. The model that was applied all seven urban characteristics factors, can calculate the most similar results such as the existing water circulation model. The water circulation estimation model developed in this study is not only useful to simply estimate the water circulation status of ungauged watersheds but can also provide data for parameter calibration and validation.

• 한국환경과학회지
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• 제8권3호
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• pp.331-336
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• 1999

The monthly water quality data measured at 14 stations located in the Geum-River watershed were clustered into 2 to 7 clusters. Furthermore, factor analyses were conducted on Gabcheon and Yugucheon to characterize the water qualtiy, based on the information obtained from the results of culster analysis. The results of cluster analysis show that the water quality charactersitic of main stream of the Geum-River is somewhat different from that of substream of the Geum-River. Furthermore, the water quality characteristic of Gabcheon which is expected to have the most serious water quality problems in the Geum-River watershed shows the most different water quality characteristic from Yugucheon. Based ont he factor loadings in each factor, Gabcheon and Yugucheon have their own water quality characteristics. This is mainly because of composite factors such as different population density, industrial activities, and land use conditions in Gabcheon and Yugucheon subwatersheds.

• 한국농공학회논문집
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• 제51권5호
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• pp.107-113
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• 2009

The purpose of this study is to estimate the design flood runoff for ungaged forest watershed to reduce the flood damage in national park. Daewonsa watershed in Jirisan National Park was selected as study watershed, of which characteristic factors were obtained from GIS data. Flood runoff was simulated using SCS unit hydrograph module in HEC-HMS model. SCS Curve Number (CN) was calculated from forest type area weighted average method. Huff's time distribution of second-quartile storm of the Sancheong weather station, which is nearest from study watershed, was used for design flood runoff estimation. Critical storm duration for the study watershed was 3 hrs. Based on the critical duration, the peak runoff for each sub-watershed were simulated. It is recommended to monitor the long-term flow data for major stream stations in National Park for a better reliable peak runoff simulation results.

• 한국방재학회 논문집
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• 제9권1호
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• pp.135-144
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• 2009

본 연구에서는 대표단위도가 작성되어 있는 중규모 하천유역을 대상으로 첨두유량을 발생시키는 임계지속기간을 결정하고 임계지속기간과 관련된 수문요소들에 대한 평가를 수행하였다. 임계지속기간과 유역특성인자, 유역응답시간 특성인자 그리고 단위도 특성인자들과의 상관분석을 실시하였다. 분석결과, 재현기간을 제외한 나머지 수문요소(확률강우강도식, 유출량 산정방법, 유효우량 산정방법, 강우시간분포)이 임계지속기간에 영향을 미치는 것으로 판단되었다. 상관분석을 통하여 유역면적, 유로연장, 유로경사, 유역경사가 임계지속기간과 상관성이 높은 것으로 나타났다. 상관성이 높은 유역특성인자와 임계지속기간과의 다중회귀 분석을 실시하고 7가지 형태의 회귀식을 제시하였으며, 유도된 회귀식의 결정계수가 모두 $0.96{\sim}0.97$으로 나타나 매우 높은 상관관계를 갖는 것으로 나타났다.

• Current Research on Agriculture and Life Sciences
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• 제10권
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• pp.35-40
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• 1992

전국(全國) 112개(個) 저수지(貯水池)를 대상(對象)으로 유성인자간(流城因子間)의 관계(關係) 및 유성인자(流城因子)와 첨두유량(尖頭流量)과의 관계(關係)를 조사(調査) 분석(分析)한 결과(結果) 다음과 같은 결론(結論)을 얻었다. 1. 유성면적(流城面積)과 주하천장(主河川長), 유성면적(流城面積)과 유성(流城)의 주장(周長), 유성면적(流城面積)과 지류총연장(支流總延長), 주하천장(主河川長)과 유성(流城)의 주장(周長), 주하천장(主河川長)과 하천중심장(河川重心長), 주하천(主河川) 평균경사(平均傾斜)와 유성(流城)의 평균표고(平均標高)와의 관계(關係)를 상관분석(相關分析)하여 상호간(相互間)의 상관관계식(相關關係式)을 유도(誘導)하였다. 2. 각 유성인자(流城因子)와 첨두류량(尖頭流量)과의 단순상관분석(單純相關分析) 결과(結果) 상관계수(相關係數) r=0.004~0.546으로 비교적(比較的) 낮게 나타나 유성(流城)으로부터의 유출현상(流出現象)은 그 유성(流城)의 여러 인자(因子)에 영향(影響)을 받는다는 것을 확인(確認)할 수 있었다. 3. 유성면적(流城面積), 주하천장(主河川長), 주하천(主河川) 평균경사(平均傾斜), 저수지(貯水池) 설치점(設置點)의 표고(標高)를 독립변수(獨立變數)로 하여 첨두유량(尖頭流量)과의 다중상관분석(多衆相關分析)을 실시(實施)한 결과(結果) $Q_{100}=66.43A^{0.869}L^{-0.536}S^{0.456}Hs^{-0.122}$인 상관식(相關式)이 유도(誘導)되었다.

• 한국농공학회논문집
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• 제57권5호
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• pp.89-99
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• 2015

In this research, 1,032 data of precise safety inspection from 2004 to 2013 are gathered and constructed for finding effective safety inspection systems. Items are extracted from constructed data and factors for typology are decided with statistical method such as principle component analysis and cluster analysis. For factor decision, we extruded independent characteristics such as morphological and geographical characteristic, and deleted items which can be expressed by combination of independent characteristics. Four factors such as total storage, watershed ratio, levee length ratio, and spillway length ratio are extracted in this process. In cluster analysis, levee length ratio is excluded because it is not separated as cluster. Finally nine types of agricultural reservoir are extruded by total storage, watershed ratio, and spillway length ratio with frequency analysis.

• 한국수자원학회논문집
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• 제54권11호
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• pp.955-968
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• 2021

수자원 계획 수립시 인위적인 하천수의 사용 및 조절 과정을 거치지 않는 자연유량 상태를 기반으로 이루어지며, 관측자료를 이용하거나 장기유출모형을 이용한 방법 등을 통해 산정할 수 있다. 그러나, 자연적인 유출 상태를 보이는 유역은 매우 제한적이며, 미계측유역은 수문모형을 구축한 후 이를 전이시켜 산정하는 등 신뢰성 있는 수문자료는 여전히 부족한 실정이다. 본 연구에서는 GR4J 강우-유출모형을 활용하여 14개 댐 상류 유역에 대한 매개변수 최적화를 수행하여 자연유량의 재현성을 평가하였다. 매개변수의 불확실성을 정량적으로 고려하기 위해 Bayesian 이론을 도입하였으며, 매개변수의 사후분포로부터 추출되는 다수의 매개변수를 지역화에 활용하였다. 최종적으로 최적 매개변수와 유역의 특성을 갖는 인자에 대한 상관관계를 파악해 유역특성인자를 선별하였으며, 인자 사이의 상관성을 효과적으로 고려하기 위하여 Copula 함수를 활용해 매개변수 지역화 모델로 확장하였다. 결과적으로 지역 매개변수를 활용해 산정된 유량과 14개 댐 관측 유입량이 약 0.8 이상의 높은 상관성을 확인하였다. 본 연구에서 제안한 방법론은 미계측유역의 강우-유출모형 매개변수 추정시 유역특성을 고려한 지역 매개변수의 추정이 가능하다는 측면에서 유리한 장점을 확인할 수 있으며, 동시에 불확실성 정보를 제공함으로써 미계측유역의 자연유량 예측 모형으로 활용 가능할 것으로 판단된다.

• 한국물환경학회지
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• 제24권2호
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• pp.169-173
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• 2008

A field monitoring was conducted in order to find out the discharge characteristics of non-point source pollutants in the agricultural area. Event Mean Concentration (EMC) of TSS, $BOD_5$, $COD_{Mn}$, TP, TN was calculated based on the monitoring data of 10 rainfall events at agricultural watersheds. A significant relationship was observed from the correlation between EMCs and rainfall characteristics. The result shows that EMC ranges of 95% confidence intervals were 50.5~203 mg/L for TSS, 0.8~14.2 mg/L for $BOD_5$, 4.2~20.7 mg/L for $COD_{Mn}$, 2.4~4.5 mg/L for TN and 0.2~0.5 mg/L for TP, respectively. The correlation coefficients between TSS and TP and between $BOD_5$ and $COD_{Mn}$ were found to be 0.912 and 0.961. But TN was lower correlated with other EMC factors. It was also found that rainfall characteristics was not correlated with EMCs.

• 한국농공학회논문집
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• 제63권6호
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• pp.49-60
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• 2021

BCSA (Bias-Correction and Stochastic Analog) is a statistical downscaling technique designed to effectively correct the systematic errors of GCM (General Circulation Model) output and reproduce basic statistics and spatial variability of the observed precipitation filed. In this study, the applicability of BCSA was evaluated using the ASOS observation data over South Korea, which belongs to the monsoon climatic zone with large spatial variability of rainfall and different rainfall characteristics. The results presented the reproducibility of temporal and spatial variability of daily precipitation in various manners. As a result of comparing the spatial correlation with the observation data, it was found that the reproducibility of various climate indices including the average spatial correlation (variability) of rainfall events in South Korea was superior to the raw GCM output. In addition, the needs of future related studies to improve BCSA, such as supplementing algorithms to reduce calculation time, enhancing reproducibility of temporal rainfall patterns, and evaluating applicability to other meteorological factors, were pointed out. The results of this study can be used as the logical background for applying BCSA for reproducing spatial details of the rainfall characteristic over the Korean Peninsula.