• Korean Journal of Agricultural Science
• /
• v.46 no.4
• /
• pp.843-856
• /
• 2019

Real-time flood prediction has an important role in significantly reducing potential damage caused by floods for urban residential areas located downstream of river basins. This paper presents an effective approach for flood forecasting based on the construction of a deep neural network (DNN) model. In addition, this research depends closely on the open-source software library, TensorFlow, which was developed by Google for machine and deep learning applications and research. The proposed model was applied to forecast the flowrate one, two, and three days in advance at the Son Tay hydrological station on the Red River, Vietnam. The input data of the model was a series of discharge data observed at five gauge stations on the Red River system, without requiring rainfall data, water levels and topographic characteristics. The research results indicate that the DNN model achieved a high performance for flood forecasting even though only a modest amount of data is required. When forecasting one and two days in advance, the Nash-Sutcliffe Efficiency (NSE) reached 0.993 and 0.938, respectively. The findings of this study suggest that the DNN model can be used to construct a real-time flood warning system on the Red River and for other river basins in Vietnam.

• Ocean and Polar Research
• /
• v.24 no.3
• /
• pp.207-213
• /
• 2002

We have analyzed sea surface temperature and salinity data collected in the western Pacific Ocean by using an automated Thermosalinograph (TSG) installed on the RV Onnuri during May - June of 2001. The TSG data exhibit characteristics of water masses distributed in the near surface layer of the cruise area very well. Especially, they reveal the diurnal surface temperature cycle and the effect of rainfall on temperature and salinity in the equatorial region, showing the effectiveness of the use of TSG. Problems to be improved for the better TSG operation are the method of water sampling and calibration of TSG sensors. Installation of a pressure gauge in the TSG system and periodical sensor calibration are strongly recommended to ensure reliability of data.

• Fire Science and Engineering
• /
• v.26 no.3
• /
• pp.67-72
• /
• 2012

Indoor fire hydrant facilities and sprinkler system applied to the initial fire suppression for buildings' interior fire are pivotal roles in extinguishing the fire in the early stage. The roof shapes of recent buildings combined with distinctive local culture and design are being constructed. Distinctive roof forms, i.e. gable roof buildings are planned and built, View point planning with the roof gardens also restricts measurement of the discharge pressure on the indoor fire hydrant, It is too narrow to gauge the water discharge pressure with deploying up to 5 water hoses. To resolve these problems improvement for the efficient management of indoor fire hydrant system and the effective early stage flame extinguishment is suggested.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2004.05b
• /
• pp.256-261
• /
• 2004

Due to the problems of global warming, the frequency of meteorological extremes such as droughts, floods and the annual rainfall amount are suddenly increasing. Even though the increase of greenhouse gases, for example, is thought to be the main factor for global warming, its impact on global climate has not yet been revealed clearly in rather quantitative manners. Therefore, tile objective of this study is to inquire the change of precipitation condition due to climate change by global warming. In brief, this study want to see its assumption if rainfall quantile estimates are really changing. In order to analyze the temporal change, the rainfall quantile estimates at the Seoul rain gauge stations are estimated for the 21-year data period being moved from 1908 to 2002 with 1-year lag. The main objective of this study is to analyze the variability of rainfall quantile estimates using four methods. Next, The changes in confidence interval of rainfall quantile are evaluated by increasing the data period. It has been found that confidence interval of rainfall quantile estimates is reduced as the data period increases. When the hydraulic structures are to be designed, it is important to select the data size and to re-estimate the flood prevention capacity in existing river systems.

• Journal of the Korean Society of Fisheries and Ocean Technology
• /
• v.34 no.2
• /
• pp.200-211
• /
• 1998

Heat transfer performance improvement by fin and groovs is studied for condensation of R-11 on integral-fin tubes. Eight tubes with trapczodially shaped integral-fins having fin density from 748 to 1654fpm(fin per meter) and 10, 30 grooves are tested. A plain tube having the same diameter as the finned tubes is also used for comparison. R-11 condensates at saturation state of 32 $^{\circ}C$ on the outside tube surface coded by inside water flow. All of test data are taken at steady state. The heat transfer loop is used for testing singe long tubes and cooling is pumped from a storage tank through filters and folwmeters to the horizontal test section where it is heated by steam condensing on the outside of the tubes. The pressure drop across the test section is measured by menas pressure gauge and manometer. The results obtained in this study is as follows : 1. Based on inside diameter and nominal inside area, overall heat transfer coefficients of finned tube are enhanced up to 1.6 ~ 3.7 times that of a plain tube at a constant Reynolds number. 2. Friction factors are up to 1.6 ~ 2.1 times those of plain tubes. 3. The constant pumping power ratio for the low integral-fin tubes increase directly with the effective area to the nominal area ratio, and with the effective area diameter ratio. 4. A tube having a fin density of 1299fpm and 30 grooves has the best heat transfer performance.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
• /
• v.8 no.1
• /
• pp.151-165
• /
• 1996

Relation between condensate retention and heat transfer performance is studied for condensation of CFC-11 on horizontal integral-fin tubes. Eight tubes with trapezoidally shaped integral fin density from 738fpm to 1654fpm and 10, 30 grooves are tested. The liquid retention angles are measured by the height gauge, and each tube is tested under static(non-condensing) condition (CFC-11, water) and under dynamic(condensing) condition (CFC-11). The analytical model predicts the amount of liquid retention on a horizontal integral-fin tubes within＋10 percent over most of the data. Average retention angle increases as both surface tension-to-density ratio($\sigma/\rho$) and fin density(fpm) increase, The tube having a fin density of 1299~1654fpm has the best heat transfer performance. The amount of surface flooding must keep below of 40 percent for best heat transfer performance at condensation. The tube having low number of fin density must be used for fluids having high values of $\sigma/\rho$(water, (TEX)$NH_3$, ect.) and the tube having high number of fin density must be used for the fluid having low values of $\sigma/\rho$(R-11, R-22, etc.)

• Proceedings of the Korea Water Resources Association Conference
• /
• 2009.05a
• /
• pp.1021-1026
• /
• 2009

본 연구에서는 물리적 기반의 완전분포 모형인 $Vflo^{TM}$ 모형을 이용하여 강원도 인제군에 위치한 내린천 유역을 대상으로 광덕산 레이더 자료와 지상강우 자료를 이용하여 분포형 홍수유출모의를 실시하였다. $Vflo^{TM}$모형을 구성하기 위해서 GIS 지형공간 자료가 사용하였다. 유역의 하천 배수망과 각 격자에서의 경사를 구하기 위하여 250m 격자 크기의 DEM을 사용하였다. 본 연구에서는 2006년 7월 14일부터 2006년 7월 17일까지의 관측 레이더 강우자료(Quantitative Precipitation Estimation, QPE), 보정된 레이더 강우자료, 지상 강우량자료를 동일한 조건의 $Vflo^{TM}$모형에 입력하여 관측 유출량과 비교함으로써 기상청레이더 자료와 조건부합성기법으로 보정된 레이더 자료의 수문모형의 입력 자료로써의 타당성을 비교하고자 하였다. 광덕산 레이더 강우의 경우 관측치보다 상당히 과소 추정되는 모습을 보여주었고, 지상강우와 조건부합성기법으로 보정된 레이더 강우의 경우 실제 관측치와 비슷한 유출을 나타내었지만, 조건부 합성기법(Kim, 2008)을 이용하여 레이더강우와 지상강우를 합성한 보정 레이더 강우자료가 가장 좋은 결과를 보여주었다. 이를 통해 기상레이더 강우자료와 지상강우자료를 합성할 경우 충분히 레이더 강우를 이용하여 홍수모형의 입력자료로써 수문학적 활용성이 있음을 확인하였다.

• Spatial Information Research
• /
• v.17 no.3
• /
• pp.351-359
• /
• 2009

Nowadays, a precision multiple-beam epoch sounder is a depth-sounding apparatus, which is widely used especially for the mapping of bottom of the sea in the coastal area and the bed of river. However, there has been no attempt to verify the accuracy of the depth-sounding apparatus with the data obtained through the actual measurement. As a consequence, the efficient and systematic evaluation of the survey results cannot be performed. In this paper, the accuracy of the multiple beam echo sounder is analyzed by comparing the in-situ measurements and reference data. The test results show that the highest level of accuracy, indicated by IHO, can be achieved even though the magnitude of error increases with the depth of water.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2019.05a
• /
• pp.156-156
• /
• 2019

In this study, a gated recurrent unit (GRU) network is constructed based on a deep neural network (DNN) with the aim of restoring the missing daily flow data in river basins. Lai Chau hydrological station is located upstream of the Da river basin (Vietnam) is selected as the target station for this study. Input data of the model are data on observed daily flow for 24 years from 1961 to 1984 (before Hoa Binh dam was built) at 5 hydrological stations, in which 4 gauge stations in the basin downstream and restoring - target station (Lai Chau). The total available data is divided into sections for different purposes. The data set of 23 years (1961-1983) was employed for training and validation purposes, with corresponding rates of 80% for training and 20% for validation respectively. Another data set of one year (1984) was used for the testing purpose to objectively verify the performance and accuracy of the model. Though only a modest amount of input data is required and furthermore the Lai Chau hydrological station is located upstream of the Da River, the calculated results based on the suggested model are in satisfactory agreement with observed data, the Nash - Sutcliffe efficiency (NSE) is higher than 95%. The finding of this study illustrated the outstanding performance of the GRU network model in recovering the missing flow data at Lai Chau station. As a result, DNN models, as well as GRU network models, have great potential for application within the field of hydrology and hydraulics.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2015.05a
• /
• pp.413-413
• /
• 2015

최근 국내외적으로 정도 높은 강우장을 모의하기 위해 레이더 자료와 강우자료를 합성하려는 연구가 수행되고 있다. 이는 정밀하게 강우를 관측할 수 있는 지점 강우의 장점과 강우의 공간분포를 파악할 수 있는 레이더 자료의 장점을 결합하여 고품질의 자료를 생산할 수 있기 때문이다. 기존에는 연속수정법, 조건부 합성기법, 코크리깅, 가우시안 합성기법 등과 같은 자료합성 기법을 이용하여 레이더 자료와 지상강우를 합성한 연구가 수행되었다. 그러나 강우자료의 간헐적인 특징으로 인하여 두 자료를 합성하려는 시도는 간단하지 않은 문제로 나타났다. 이에 본 연구에서는 간헐적 특성의 자료를 고려한 자료합성 기법을 제안하였다. 먼저, 자료를 0이 포함되지 않은 경우와 0이 포함된 경우의 2가지 유형으로 구분하였다. 기존에는 주로 자료에 0에 포함되지 않은 경우에 대한 합성기법이 평가되었지만, 본 연구에서는 0이 포함된 경우에 대한 합성기법에 초점을 맞추었다. 자료합성 기법 중 코크리깅 기법을 이용하여 0이 포함된 레이더 자료와 강우자료를 합성하는 방법을 제안하였고 이를 0이 포함되지 않은 경우를 이용한 합성 결과와 비교하였다. 아울러 제안된 합성기법을 한강 유역의 자료에 적용하여 그 결과를 비교 및 평가 하였다.