• Title/Summary/Keyword: RRI model

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Assessing the Suitability of Satellite Precipitation Products for Flood Modeling in the Tonle Sap Lake Basin, Cambodia

  • Oudom Satia Huong;Xuan-Hien Le;Giha Lee
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.176-176
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    • 2023
  • The Tonle Sap is the richest and diverseness of freshwater ecosystem in Southeast Asia, receiving nurturing water flows from the Mekong and its immediate basin. In addition, the rapid development in the Tonle Sap Lake (TSL) Basin, and flood inundation may threaten the natural diversities and characteristics. The impacts of flood inundation in 11 sub-basins contributing to the Tonle Sap Lake were assessed using the Rainfall-Runoff-Inundation (RRI) model to quantify the potential magnitude and extent of the flooding. The RRI model is set up by using gauged rainfall data to simulate the information of river discharge and flood inundation of huge possible flood events. Moreover, two satellite precipitation products (SPPs), CHIRPS and GSMaP, within respectively spatial resolutions of 0.05° and 0.1°, are utilized as an input for the RRI model to simulate river discharge, flood depth, and flood extent for the great TSL Basin of Cambodia. This study used statistical indicators such as NSE, PBIAS, RSR, and R2 as crucial indices to evaluate the performance of the RRI model. Therefore, the findings of this study could provide promising guidance in hydrological modeling and the significant implications for flood risk management and disaster preparedness in the region.

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Assessment of Rainfall Runoff and Flood Inundation in the Mekong River Basin by Using RRI Model

  • Try, Sophal;Lee, Giha;Yu, Wansik;Oeurng, Chantha
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.191-191
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    • 2017
  • Floods have become more widespread and frequent among natural disasters and consisted significant losses of lives and properties worldwide. Flood's impacts are threatening socio-economic and people's lives in the Mekong River Basin every year. The objective of this study is to identify the flood hazard areas and inundation depth in the Mekong River Basin. A rainfall-runoff and flood inundation model is necessary to enhance understanding of characteristic of flooding. Rainfall-Runoff-Inundation (RRI) model, a two-dimensional model capable of simulating rainfall-runoff and flood inundation simultaneously, was applied in this study. HydoSHEDS Topographical data, APPRODITE precipitation, MODIS land use, and river cross section were used as input data for the simulation. The Shuffled Complex Evolution (SCE-UA) global optimization method was integrated with RRI model to calibrate the sensitive parameters. In the present study, we selected flood event in 2000 which was considered as 50-year return period flood in term of discharge volume of 500 km3. The simulated results were compared with observed discharge at the stations along the mainstream and inundation map produced by Dartmouth Flood Observatory and Landsat 7. The results indicated good agreement between observed and simulated discharge with NSE = 0.86 at Stung Treng Station. The model predicted inundation extent with success rate SR = 67.50% and modified success rate MSR = 74.53%. In conclusion, the RRI model was successfully used to simulate rainfall runoff and inundation processes in the large scale Mekong River Basin with a good performance. It is recommended to improve the quality of the input data in order to increase the accuracy of the simulation result.

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Watershed Scale Flood Simulation in Upper Citarum Watershed, West Java-Indonesia using RRI Model

  • Nastiti, Kania Dewi;Kim, Yeonsu;Jung, Kwansue;An, Hyunuk
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.179-179
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    • 2015
  • Citarum River is one of the important river in West Java, Indonesia. During the rainy season, flood happens almost every year in Upper Citarum Watershed, hence, it is necessary to establish the countermeasure in order to prevent and mitigate flood damages. Since the lack of hydrological data for the modelling is common problem in this area, it is difficult to prepare the countermeasures. Therefore, we used Rainfall-Runoff-Inundation (RRI) Model developed by Sayama et al. (2010) as the hydrological and inundation modelling for evaluating the inundation case happened in Upper Citarum Watershed, West Java, Indonesia and the satellite based information such as rainfall (GSMaP), landuse and so on instead of the limited hydrological data. In addition, 3 arc-second HydroSHEDS Digital Elevation Model (DEM) is used. To verify the model, the observed data of Nanjung water stage gauging station and the daily observation data are used. Simulated inundation areas are compared with the flood extent figure from Upper Citarum Basin Flood Management Project (UCBFM).

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Development of River Recreation Index Model by Synthesis of Water Quality Parameters (수질인자의 합성에 의한 하천 레크리에이션 지수 모델의 개발)

  • Seo, Il Won;Choi, Soo Yeon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.34 no.5
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    • pp.1395-1408
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    • 2014
  • In this research, a River Recreation Index Model (RRIM) was developed to provide sufficient information on the water quality of rivers to the public in order to secure safety of publics. River Recreation Index (RRI) is an integrated water quality information for recreation activities in rivers and expressed as the point from 0 to 100. The proposed RRIM consisted of two sub models: Fecal Coliform Model (FCM) and Water Quality Index Model (WQIM). FCM predicted Fecal Coliform Grade (FCG) using a logistic regression and WQIM synthesized water quality parameters of, DO, pH, turbidity and chlorophyll a into Water Quality Index (WQI). FCG and WQI were integrated into RRI by the integrating algorithm. The proposed model was applied to upstream of Gangjeong Weir in Nakdong River, and compared with Real Time Water Quality Index (RTWQI) which is the existing water quality information system for recreation use. The results show that calculated RRI reflected change of integrated water quality parameters well. Especially chlorophyll a showed Pearson correlation coefficient -0.85 with RRI. Also, RRIM produced more conservative index than RTWQI because RRI was calculated considering uncertainty of water quality criteria. Further, RRI showed especially low values when fecal coliform was predicted as low grade.

Resonant Frequency Estimation of Reradiation Interference at MF from Power Transmission Lines Based on Generalized Resonance Theory

  • Bo, Tang;Bin, Chen;Zhibin, Zhao;Zheng, Xiao;Shuang, Wang
    • Journal of Electrical Engineering and Technology
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    • v.10 no.3
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    • pp.1144-1153
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    • 2015
  • The resonant mechanism of reradiation interference (RRI) over 1.7MHz from power transmission lines cannot be obtained from IEEE standards, which are based on researches of field intensity. Hence, the resonance is ignored in National Standards of protecting distance between UHV power lines and radio stations in China, which would result in an excessive redundancy of protecting distance. Therefore, based on the generalized resonance theory, we proposed the idea of applying model-based parameter estimation (MBPE) to estimate the generalized resonance frequency of electrically large scattering objects. We also deduced equation expressions of the generalized resonance frequency and its quality factor Q in a lossy open electromagnetic system, i.e. an antenna-transmission line system in this paper. Taking the frequency band studied by IEEE and the frequency band over 1.7 MHz as object, we established three models of the RRI from transmission lines, namely the simplified line model, the tower line model considering cross arms and the line-surface mixed model. With the models, we calculated the scattering field of sampling points with equal intervals using method of moments, and then inferred expressions of Padé rational function. After calculating the zero-pole points of the Padé rational function, we eventually got the estimation of the RRI’s generalized resonant frequency. Our case studies indicate that the proposed estimation method is effective for predicting the generalized resonant frequency of RRI in medium frequency (MF, 0.3~3 MHz) band over 1.7 MHz, which expands the frequency band studied by IEEE.

Analysis of future flood inundation change in the Tonle Sap basin under a climate change scenario

  • Lee, Dae Eop;Jung, Sung Ho;Yeon, Min Ho;Lee, Gi Ha
    • Korean Journal of Agricultural Science
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    • v.48 no.3
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    • pp.433-446
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    • 2021
  • In this study, the future flood inundation changes under a climate change were simulated in the Tonle Sap basin in Cambodia, one of the countries with high vulnerability to climate change. For the flood inundation simulation using the rainfall-runoff-inundation (RRI) model, globally available geological data (digital elevation model [DEM]; hydrological data and maps based on Shuttle elevation derivatives [HydroSHED]; land cover: Global land cover facility-moderate resolution imaging spectroradiometer [GLCF-MODIS]), rainfall data (Asian precipitation-highly-resolved observational data integration towards evaluation [APHRODITE]), climate change scenario (HadGEM3-RA), and observational water level (Kratie, Koh Khel, Neak Luong st.) were constructed. The future runoff from the Kratie station, the upper boundary condition of the RRI model, was constructed to be predicted using the long short-term memory (LSTM) model. Based on the results predicted by the LSTM model, a total of 4 cases were selected (representative concentration pathway [RCP] 4.5: 2035, 2075; RCP 8.5: 2051, 2072) with the largest annual average runoff by period and scenario. The results of the analysis of the future flood inundation in the Tonle Sap basin were compared with the results of previous studies. Unlike in the past, when the change in the depth of inundation changed to a range of about 1 to 10 meters during the 1997 - 2005 period, it occurred in a range of about 5 to 9 meters during the future period. The results show that in the future RCP 4.5 and 8.5 scenarios, the variability of discharge is reduced compared to the past and that climate change could change the runoff patterns of the Tonle Sap basin.

Anti-atherosclerotic Effect of the Methanol Extract of Sorbus commixta Cortex in the High Cholesterol-Diet Rats

  • Kang, Dae-Gill;Sohn, Eun-Jin;Kim, Jin-Sook;Lee, Yun-Jung;Moon, Mi-Kyoung;Lee, An-Sook;An, Jun-Seok;Lee, Ho-Sub
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.20 no.5
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    • pp.1337-1345
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    • 2006
  • Hypercholesterolemia is a pivotal pathogenic factor for the development and maintenance of atherosclerosis. The present study was designed to evaluate whether the methanol extract of Sorbus commixta cortex (MSC) restores vascular dysfunction in association with the aortic expressions of proinflarnmatory and adhesion molecules in high cholesterol (HC) diet-rats. Chronic treatment with low (100 mg/kg/day) or high doses (200 mg/kg/day) of MSC lowered the increase in plasma levels of triglyceride (TG) and low-density lipoprotein (LDL) cholesterol induced by a cholesterol-enriched diet without affecting on the plasma level of high density lipoprotein (HDL)-cholesterol. Vascular tone attenuated in the HC-diet rats was restored by administration with MSC. Treatment with MSC also suppressed the HC-induced increase in the monocyte chemoattractant protein-1 (MCP-1) and nuclear factor-$_K$B (NF-$_K$B) p65 expressions as well as expressions levels of adhesion molecules including intercellular adhesion molecule-1 (ICAM-1), vascular cell adhesion molecule-1 (ICAM-1), and E-selectin in aorta. The present study also showed that MSC inhibited the HC-mediated induction of ET-1 and ACE expression. In histopathological examination, aortic segments in the HC-diet rat revealed thickening intima and media, which were blocked by administration with MSC. Taken together, MSC could suppress the development of atherosclerosis in the HC-diet rat model through the inhibition of the aortic expression levels of pro-inflammatory and adhesion molecules.

Spectral Analysis of Heart Rate Variability in ECG and Pulse-wave using autoregressive model (AR모델을 이용한 심전도와 맥파의 심박변동 스펙트럼 해석)

  • Kim NagHwan;Lee EunSil;Min HongKi;Lee EungHyuk;Hong SeungHong
    • Journal of the Institute of Convergence Signal Processing
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    • v.1 no.1
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    • pp.15-22
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    • 2000
  • The analysis of power spectrum based on linear AR model is applied widely to quantize the response of autonomic nerve noninvasively, In this paper, we estimate the power spectrum density for heartrate variability of the electrocadiogram and pulse wave for short term data(less than two minute), The time series of heart rate variability is obtained from the time interval(RRI, PPI) between the feature point of the electrocadiogram and pulse wave for normal person, The generated time series reconstructed into new time series through polynomial interpolation to apply to the AR mode. The power spectrum density for AR model is calculated by Burg algorithm, After applying AR model, the power spectrum density for heart rate variability of the electrocadiogram and the pulse wave is shown smooth spectrum power at the region of low frequence and high frequence, and that the power spectrum density of electrocadiogram and pulse wave has similar form for same subject.

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Prediction Model of Remaining Service Life of Concrete for Irrigation Structures by Measuring Carbonation (중성화 측정을 통한 콘크리트의 잔존수명 예측 모델)

  • Lee, Joon-Gu;Park, Kwang-Soo;Kim, Han-Joung;Lee, Joung-Jae
    • Journal of the Korea Concrete Institute
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    • v.15 no.4
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    • pp.529-540
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    • 2003
  • Recently, the researches on the durability design of concrete structures have been studied. As the examples, models to evaluate the service life prediction of the structure have been developed. The purpose of this article is to develop the model for predicting remaining service life. The final aim is to provide the user time for repairing the concrete structures. In addition, it makes possible to maintain the concrete structure economically. 70 reservoirs out of the inland concrete structures were selected and concrete structures of their components were surveyed. Two methods were used for measuring carbonation; TG/DTA method and Phenolphtalein indicator and, the value of pH was measured by the pH meter, After deriving correlations of calcium carbonate and used year, duration from completion year to 2002, pH value, and concrete cover depth the model was developed for predicting remaining service life by measuring data as small as possible. The conventional models had been developed on the basis of experiment data obtained from the restricted lab environment like as carbon gas exposure. On the other hand this model was developed on the basis of measuring data obtained from the real field that the complex deterioration actions are occurred such as freezing and thawing, carbonation, steel corrosion, and so on. The reliability of the developed model will be evaluated high in this point and this model can help to maintain concrete structures economically by providing the manager time to repair the deteriorated concrete structures in site of facility management.

Spectral Analysis of Heart Rate Variability in Electrocardiogram and Pulse-wave using autoregressive model (AR모델을 이용한 심전도와 맥파의 심박변동 스펙트럼 해석)

  • 김낙환;민홍기;이응혁;홍승홍
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2000.08a
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    • pp.289-292
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    • 2000
  • 선형 자귀회귀(AR) 모델을 근거로한 HRV 파워 스펙트럼해석은 비침습적으로 자율신경의 반응을 정량화하는데 폭넓게 사용된다. 본 연구는 단구간(2분 미만)의 심전도와 맥파 신호로부터 시계열 HRV의 파워스펙트럼을 추정한다. 시계열은 정상인을 대상으로 검출한 심전도와 맥파신호의 특징점 시간간격(RRI, PPI)으로부터 구하였다. 발생된 시계열은 다항식 보간법에 의해 AR모델에 적합하게 재구성하였으며, AR모델 계수는 Burg법에 의해 계산하였다. AR모델을 적용한 단구간의 심전도와 맥파의 심박변동에 대한 파워스펙트럼밀도는 저주파수(LF)와 고주파수(HF)에서 매끄러운 스펙트럼 파워를 나타내고 있다. 또한 동일한 피험자의 심전도와 맥파의 파워스펙트럼밀도를 비교한 결과 동일한 모양을 나타내었다.

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