• Magazine of the Korean Society of Agricultural Engineers
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• v.24 no.2
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• pp.76-88
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• 1982

The stream morphological characteristics of a basin have important influence upon the analysis of runoff. In this study, the laws of stream morphology-the law of average stream fall and the law of least rate of potential energy expenditure-which were derived based on the analogy of entropy in thermodynamics are introduced and their validity is analysised with the data taken from the topographic maps covering the whole Geum River system. The first law is the Law of Average Stream Fall which states that under the dynamic equilibrium condition the ratio of average fall between any two different order stream in the same river basin in unity. The second law is the law of least rate of energy expenditure which states that all natural streams are intended to choose their own course of flow such that the rate of potential energy loss per unit mass of water this course is a minimum. The parameters representing the morphological characteristics of 13 tributaries in the Geum River system such as stream bifurcation ratio and stream concavity were Computed from the Horton-Strahler's laws and are used to check the law of average stream fall. The result showed that the law of average stream fall agrees reasonably well with law of Horton-Strahler. Concavity of a river basin is shown to be the determinative factor to the formation of a stream system. Concavity of a river basin is shown to be the determinative factor to the formation of a stream system. Based on Horton's Law and the law of average stream fall, longitudinal stream profiles can be calculated.

• Water for future
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• v.29 no.5
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• pp.203-214
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• 1996

Quantifying water balance components is crucial to understanding the basic hydrology and hydrochemistry. An importance of water balance has been suggested in order to grasp actual condition of water resources and environmental changes including climatic changes. The present paper proposes an evaluation method of the water balance components based on vegetation monitoring from remote sensing data. In this study, evapotranspiration model adopts a directmethod by using NDVI (Normalized Difference Vegetation Index) calculated from NOAA/AVHRR data and the detailed description of water balance by using the evapotranspiration in all over the Korean Peninsula. Areal distribution data sets of evapotranspiration in all over the Korean Peninsula. Areal distribution data sets of evapotranspiration, runoff ratio, water surplus and deficit are produced using NDVI and simplified water balance model. This method enables to discuss the hydrological problems for North Korea where enough meteorological and hydrological data are unavailable.

• Journal of Wetlands Research
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• v.13 no.3
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• pp.377-384
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• 2011

The objective of this research is to observe and to analyze how the precipitation change can affect urban area and coastal area to groundwater recharge. The variation in the precipitation data of the regional groundwater basin, which includes Busan Metropolitan City Suyeong Gu area, was to estimate the change in the groundwater recharge and to analyze the characteristic changes. Research result reflects that as the precipitation varied, there was some difference in the groundwater recharge. However, differences in the precipitation ratio and the groundwater recharge ratio were consistent. Variation in the precipitation had less impact on the groundwater recharge ratio, and the groundwater recharge ratio decreased as timeline increased. When the precipitation increased by 10 %, groundwater recharge changed by 2.23 %. Accordingly, when it decreased by 10 %, groundwater recharge changed by 2.20 %. When it increased by 20 %, groundwater recharge changed by 4.39 %, and when it decreased by 20 %, groundwater recharge changed by 4.36 %. Despite the dramatic changes in the precipitation, the changes in the groundwater recharge were minimal. From the research, we can observe that the precipitation change had a significant impact on the ratio, but it doesn't really affect the groundwater recharge. Therefore, in urban area, the changes in groundwater recharge don't conform to the changes in the precipitation, and the effect of direct runoff can increase the possible occurrence of urban flooding.

• Journal of The Korean Society of Agricultural Engineers
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• v.60 no.4
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• pp.63-72
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• 2018

The main function of an agricultural reservoir is to supply irrigation water to paddy rice fields in South Korea. Therefore, the operation of a reservoir is significantly affected by the phenology of paddy rice. For example, the early stage of irrigation season, a lot of irrigation water is required for transplanting rice. Therefore, water storage in the reservoir before irrigation season can be a key factor for sustainable irrigation, and it becomes more important under climate change situation. In this study, we analyzed the climate change impacts on reservoir storage rate at the beginning of irrigation period and simulated the reservoir storage, runoff, and irrigation water requirement under RCP scenarios. Frequency analysis was conducted with simulation results to analyze water supply probabilities of reservoirs. Water supply probability was lower in RCP 8.5 scenario than in RCP 4.5 scenario because of low precipitation in the non-irrigation period. Study reservoirs are classified into 5 groups by water supply probability. Reservoirs in group 5 showed more than 85 percentage probabilities to be filled up from half-filled condition during the non-irrigation period, whereas group 1 showed less than 5 percentages. In conclusion, reservoir capacity to catchment area ratio mainly affected water supply probability. If the ratio was high, reservoirs tended to have a low possibility to supply enough irrigation water amount.

• Journal of Korean Society on Water Environment
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• v.34 no.5
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• pp.537-547
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• 2018

Sediment discharge by rainfall runoff affects water quality in rivers such as turbid water, eutrophication. In order to solve various problems caused by soil loss, it is important to establish a sediment management plan for watersheds and rivers in advance. However, there is a lack of sediment data available for estimating sediment discharge in ungauged basins.. Thus, reasonable research is very important to evaluate and predict the sediment discharge quantitatively. In this study, cluster analysis was conducted to classify gauged watersheds into hydrologically homogeneous groups based on the watershed characteristics. Also, this study suggests a method to efficiently predict the sediment discharge for ungauged basins by developing and evaluating the SDR equations based on the PA-SDR module. As the result, the SDR equations for the classified watersheds were derived to predict the most reasonable sediment discharge of ungauged basins with 0.24 % ~ 10.89 % errors. It was found that the optimal parameters for the gauged basins reflect well characteristic of sediment movement. SDR equations proposed in this study will be available for estimating sediment discharge on ungauged basins. Also it is possible to utilize establishing the appropriate sediment management plan for integrated management of watershed and river in Korea.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.183-183
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• 2021

Deep learning methods and their application have become an essential part of prediction and modeling in water-related research areas, including hydrological processes, climate change, etc. It is known that application of deep learning leads to high availability of data sources in hydrology, which shows its usefulness in analysis of precipitation, runoff, groundwater level, evapotranspiration, and so on. However, there is still a limitation on microclimate analysis and prediction with deep learning methods because of deficiency of gauge-based data and shortcomings of existing technologies. In this study, a real-time rainfall prediction model was developed from a sky image data set with convolutional neural networks (CNNs). These daily image data were collected at Chung-Ang University and Korea University. For high accuracy of the proposed model, it considers data classification, image processing, ratio adjustment of no-rain data. Rainfall prediction data were compared with minutely rainfall data at rain gauge stations close to image sensors. It indicates that the proposed model could offer an interpolation of current rainfall observation system and have large potential to fill an observation gap. Information from small-scaled areas leads to advance in accurate weather forecasting and hydrological modeling at a micro scale.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.12
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• pp.6597-6601
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• 2013

This study aims at suggesting a evaluation method of water cycle soundness in U-City. The distortion of water cycle soundness induced industrialization and urbanization was quantitatively analyzed. In order to evaluate the soundness of water cycle in U-City the reduction ratio of runoff was evaluated in comparison of before the construction of the water recycling facilities for natural water cycle, the reduction ratio of urban water was evaluated in comparison of before the introduction of the artificial recycling facilities for artificial water cycle.

• Journal of Korea Water Resources Association
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• v.40 no.8
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• pp.585-600
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• 2007

The hydrologic cycle and BOD pollutant loads of all sub-watersheds were analyzed using HSPF (Hydrological Simulation Program-Fortran). At first, sensitivity analyses to water quantity (peak discharge and total volume) and quality (BOD peak concentrations and total loads) were conducted and some critical Parameters were selected. For more precise simulation, the study watershed was divided into four parts according to the landuse characteristics and used climate data and so calibrated and verified respectively. It was found that as the urban area ratio increases in the downstream direction, baseflow decreases (11.1 % $\rightarrow$ 5.0%) and the ratio of direct runoff volume(42.5 % $\rightarrow$ 56.9 %), BOD concentration (3.3 mg/L $\rightarrow$ 15.0 mg/L) and unit loads (55.4 kg/ha/year $\rightarrow$ 354.5 kg/ha/year) increase.

• Journal of Wetlands Research
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• v.15 no.1
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• pp.79-90
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• 2013

Stormwater wetland targeted to treat the rainfall runoff from cow feeding-lot basin has been monitored from May 2010 to November 2011. Reduction efficiency estimated based on 20 rainfall event monitoring was 88%, 54%, 70%, 31%, and 64% for TSS, BOD, $COD_{Cr}$, TN, and TP, respectively. Theoretically, as rainfall depth increases, hydraulic exchange ratio has to be increased. When the exchange ratio approaches to 1 (usually design goal), TSS reduction efficiency was estimated about 55%. Uncertainty in reduction efficiency of the stormwater wetland is normally very high due to the continuous rainfall activity, its magnitude and intensity, antecedent dry days, and other natural variables which can not be controlled by experiment conductors. In this study, predominant affecting variables was found to be hydraulics caused by consecutive rainfall events having different intensity and algal growth during dry days.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.95-95
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• 2021

전 세계 담수 자원의 예측 및 관리에 있어서 유출량 변화의 예측은 중요하다. 하지만 강수량 대비 유출량의 비율인 유출율이 수자원 시스템에 중요한 영향을 미치는지에 대한 여부는 여전히 불분명하다. 본 연구에서는 전 세계의 1,636개 관측소에서 관측된 유출량과 강수량 자료를 이용하여 최근 60년 (1956-2015) 동안 유출량, 강수량, 증발산량의 관계에 있어서 유출율의 역할에 관해 연구하였다. 수문 기후학적으로 습한 지역과 건조한 지역을 구분할 수 있는 임계값으로 유출율을 사용할 수 있다는 점을 Budyko 공간에서 적용하여 건조 지수와의 비교를 통해 발견할 수 있었다. 유출량 변화에 대한 상세한 분석을 위해 강수량 및 증발산량 변화율에 따라 6가지의 범주를 설정하였고 그 결과 대부분의 관측소에서는 강수량의 변화와 일관된 방향으로 유출량이 변화하는 것으로 밝혀져 유출량의 변화는 강수 변화에 더 민감하다는 결론을 얻었으며 모든 범주에 있어서 유출율은 강수량과 증발산량의 변화에 의한 유출량 변화의 크기에 상당한 영향이 있음이 밝혀졌다. 본 연구의 결과들을 통해 우리는 기후 변화에 따른 유출량 변화에 대한 예측성 향상에 있어서 유출율에 대한 물리적인 이해가 잠재적인 주요한 요소라고 제안한다. 토지 피복 및 토지 이용과 같은 인위적 영향은 유출율을 직접 감소 또는 증가시켜 유출량의 민감도를 변화시킬 수 있다. 본 연구에서 제안된 수치적인 접근 방식은 수자원 가용성에 대한 기후 변화 및 인위적 영향을 완화하기 위해 실행 가능한 정보를 제공할 것으로 보인다.