• Title/Summary/Keyword: Hydrological Component Analysis

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Comparison of Time Series of Alluvial Groundwater Levels before and after Barrage Construction on the Lower Nakdong River (낙동강 하류 하천구조물 건설 전후의 충적층 지하수위 시계열 특성 비교)

  • Kim, Gyoo-Bum;Cha, Eun-Jee;Jeong, Hae-Geun;Shin, Kyung-Hee
    • The Journal of Engineering Geology
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    • v.23 no.2
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    • pp.105-115
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    • 2013
  • Increasing the river cross-section by barrage construction causes rises in the average river water levels and discharge rates in the rainy season. The time series patterns for groundwater levels measured at 23 riverside monitoring wells along the lower Nakdong River are compared for two cases: before and after water-filling at the Changnyeong-Haman Barrage. Monthly average groundwater levels indicate a distinct increase in groundwater levels in the upstream riverside close to the barrage. River-water level management by barrage gate control in August, during the rainy season, resulted in a 0.1 m decrease in groundwater levels, while water-filling at the barrage in December caused a 1.3 m increase in groundwater levels. The results of hierarchical cluster analysis indicate that seven groundwater monitoring wells and river water levels were in the same group before barrage construction, but that this number increased to 14 after barrage construction. Principal component analysis revealed that the explanation power of two principal components corresponding to river fluctuation, PC1 and PC2, was approximately 82% before barrage construction but decreased to 45% after construction. This finding indicates that the effect of the river level component that contributes to change in groundwater level, decreases after barrage construction; consequently, other factors, including groundwater pumping, become more important. Continuous surveying and monitoring is essential for understanding change in the hydrological environment. Water policy that takes groundwater-surface water interaction into consideration should be established for riverside areas.

Runoff Analysis of Modified TOPMODEL with Subsurface Storm Flow Generation Mechanism (지표하 흐름을 고려한 개선된 TOPMODEL의 유출분석연구)

  • Lee, Hak-Su;Han, Ji-Yeong;Kim, Gyeong-Hyeon;Kim, Sang-Hyeon
    • Journal of Korea Water Resources Association
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    • v.34 no.4
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    • pp.403-411
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    • 2001
  • This paper investigates the applicability of a modified version of TOPMODEL considering shallow subsurface storm flow in a forested mountaneous catchment. The macroporous soil structure provides a hydrological pathway for rapid runoff generation. A modified version of TOPMODEL introduces the two-storage system to analyze the hydrograph recession including rapid subsurface storm flow component. The two-month continuous hydrologic simulations of sulmachun watershed suggest that a modified version of TOPMODEL represents comprehensive and realistic flow generation mechanism comparing to those of an original version of TOPMODEL. The results of parameter calibration with Monte-Carlo method indicate a modified version of TOPMODEL produces a set of physically meaningful parameters.

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Study on Development of Artificial Neural Network Forecasting Model Using Runoff, Water Quality Data (유출량 및 수질자료를 이용한 인공신경망 예측모형 개발에 관한 연구)

  • Oh, Chang-Ryeol;Jin, Young-Hoon;Kim, Dong-Ryeol;Park, Sung-Chun
    • Journal of Korea Water Resources Association
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    • v.41 no.10
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    • pp.1035-1044
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    • 2008
  • It is critical to study on data charateristics analysis and prediction for the flood disaster prevention and water quality monitoring because discharge and TOC data in a river channel are strongly nonlinear. Therefore, in the present study, prediction models for discharge, TOC, and TOC load data were developed using approximation component in the last level and detail components segregated by wavelet transform. The results show that the developed model overcame the persistence phenomenon which could be seen from previous models and improved the prediciton accuracy comparing with the previous models. It might be expected that the results from the present study can mitigate flood disaster damage and construct active alternatives to various water quality problems in the future.

Derivation & Evaluation of Drought Threshold Level Considering Hydro-meteorological Data on South Korea (수문기상 정보에 따른 국내 가뭄판단기준 제시 및 평가)

  • Bae, Deg Hyo;Son, Kyung Hwan;Kim, Heon Ae
    • Journal of Korea Water Resources Association
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    • v.46 no.3
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    • pp.287-299
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    • 2013
  • The objective of this study is to derive and evaluate the drought threshold level based on hydro-meteorological data using historical drought events. After collecting the drought events during 1991 to 2009 year, the observed meteorological data and estimated hydrological component from LSM are used as input for the percentile analysis that is drought analysis data. The drought threshold level that precipitation and runoff of 3 month duration are less than 35%, soil moisture of 2 month duration is less than 35% and evapotranspiration of 3 month duration is more than 65% is derived using ROC analysis that are objective test method. ROC analysis with SPI (3) is performed to evaluate the applicability of threshold level in the domestic. As a result, it can be concluded that the derived drought threshold level show better performance to reflect the historical drought events than SPI (3) and it reasonably explain the spatial drought situation through the spatial analysis.

Development of Typhoon Damage Forecasting Function of Southern Inland Area By Multivariate Analysis Technique (다변량 통계분석을 이용한 남부 내륙지역 태풍피해예측모형 개발)

  • Kim, Yonsoo;Kim, Taegyun
    • Journal of Wetlands Research
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    • v.21 no.4
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    • pp.281-289
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    • 2019
  • In this study, the typhoon damage forecasting model was developed for southern inland district. The typhoon damage in the inland district is caused by heavy rain and strong winds, variables are many and varied, but the damage data of the inland district are not enough to develop the model. The hydrological data related to the typhoon damage were hour maximum rainfall amount which is accumulated 3 hour interval, the total rainfall amount, the 1-5 day anticipated rainfall amount, the maximum wind speed and the typhoon center pressure at latitude 33° near the Jeju island. The Multivariate Analysis such as cluster Analysis considering the lack of damage data and principal component analysis removing multi-collinearity of rainfall data are adopted for the damage forecasting model. As a result of applying the developed model, typhoon damage estimated and observed values were up to 2.2 times. this is caused it is difficult to estimate the damage caused by strong winds and it is assumed that the local rainfall characteristics are not considered properly measured by 69 ASOS.

Analysis of hydrological characteristics of Yongdam Dam experimental basin (용담댐 시험유역 특성자료분석 연구)

  • Hwang, Eui-Ho;Chae, Hyo-Sok;Lee, Geun-Sang;Koh, Deuk-Koo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.1444-1449
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    • 2006
  • Korea is about 70% of all country to mountain, and basin is consisted of various terrain, soil, vegetation, land use etc. because use land as intensive. Also, need basin hydrologic model that can analysis base outflow as well as outflow directly for calculation of discharge to establish irrigation plan. Inconvenient in use method and user interface offer side is causing by way that existing USGS WEASEL runs in PC Arc/Info, and ArcGIS with development of present GIS technology is applied in many fields offering convenience in analysis that use GIS. In this research, wished to develop suitable outflow parameter extraction system, For this, develop pre-processor and post-processor that effectively draw of hydrologic model input data from water resources DB through van example benchimarking, and developed input/output component of GIS base applicable to various hydrologic and water quality model.

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Estimation of Distributed Groundwater Recharge in Jangseong District by using Integrated Hydrologic Model (통합수문모형을 이용한 장성지역의 분포형 지하수 함양량 추정)

  • Chung, Il-Moon;Park, Seunghyuk;Lee, Jeong Eun;Kim, Min Gyu
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.38 no.4
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    • pp.517-526
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    • 2018
  • As groundwater recharge shows the heterogeneity in space and time due to land use and soil types, estimating daily recharge by integrated hydrologic analysis is needed. In this work, the SWAT-MODFLOW model was applied to compute daily based groundwater recharge in Jangseong region. The accuracy of the model was evaluated by comparing the observed and calculated values of the unsteady groundwater flow levels after calibrating the observed and calculated flow rates of the stream for a hydrological analysis. The estimated hydrologic components showed a strong correlation with each other and significant spatial variations regarding the groundwater recharge rate in accordance with the heterogeneous watershed characteristics such as subbasin slope, land use, and soil type. Overall, it was concluded that the coupled hydrologic models were capable of simulating the spatial variation with respect to the hydrologic component process in surface water and groundwater. The average recharge rate was estimated at approximately 20.8%.

System Development for Automatic Extraction and Analysis of Hydrology-Related Watershed Characteristic Data (수문학적 유역특성자료 자동화 추출 및 분석시스템 개발 (I))

  • Hwang, Eui-Ho;Kwon, Hyung-Joong;Lee, Geun-Sang;Yu, Byeong-Hyeok;Koh, Deuk-Koo
    • Journal of the Korean Association of Geographic Information Studies
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    • v.11 no.3
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    • pp.1-12
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    • 2008
  • This study was to develop the analyzing system for watershed characteristics data. The developed system has laid the foundation for preparing the input data in various hydrological models. The algorithms and items included in the system were derived from benchmarking of the GIS WEASEL, which used to prepare the input data of PRMS (Precipitation-Runoff Modeling System). The system was designed to develop and maintain the organized system using both object-oriented UML (Unified Modeling Language) and GIS component-based ArcObjects.

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A spatiotemporal adjustment of precipitation using radar data and AWS data (레이더와 지상관측소 강우자료를 이용한 시공간 강우 조정 모형)

  • Shin, Tae Sung;Lee, Gyuwon;Kim, Yongku
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.1
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    • pp.39-47
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    • 2017
  • Precipitation is an important component for hydrological and water control study. In general, AWS data provides more accurate but low dense information for precipitation while radar data gives less accurate but high dense information. The objective of this study is to construct adjusted precipitation field based on hierarchical spatial model combining radar data and AWS data. Here, we consider a Bayesian hierarchical model with spatial structure for hourly accumulated precipitation. In addition, we also consider a redistribution of hourly precipitation to 2.5 minute precipitation. Through real data analysis, it has been shown that the proposed approach provides more reasonable precipitation field.

A Study on Quality Control Method for Minutely Rainfall Data (분 단위 강우자료의 품질 개선방안에 관한 연구)

  • Kim, Min-Seok;Moon, Young-Il
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.35 no.2
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    • pp.319-326
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    • 2015
  • Rainfall data is necessary component for water resources design and flood warning system. Most analysis are used long-term hourly data of surface synoptic stations from the Meteorological Administration, Ministry of land, Infrastructure and Transport and others. However, It will be used minutely data of more high density automatic weather stations than surface synoptic stations expecting to increase the frequency of heavy precipitation. But minutely data has a problem about quality of rainfall data by auto observation. This study analyzed about quality control method using automatic weather station's minutely rainfall data of meteorological administration. It was performed assessment of the quality control that was classified quality control of miss Data, outlier data and rainfall interpolation. This method will be utilized when hydrological analysis uses minute rainfall data.