• Title/Summary/Keyword: Flood warning

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Water Level Prediction on the Golok River Utilizing Machine Learning Technique to Evaluate Flood Situations

  • Pheeranat Dornpunya;Watanasak Supaking;Hanisah Musor;Oom Thaisawasdi;Wasukree Sae-tia;Theethut Khwankeerati;Watcharaporn Soyjumpa
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.31-31
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    • 2023
  • During December 2022, the northeast monsoon, which dominates the south and the Gulf of Thailand, had significant rainfall that impacted the lower southern region, causing flash floods, landslides, blustery winds, and the river exceeding its bank. The Golok River, located in Narathiwat, divides the border between Thailand and Malaysia was also affected by rainfall. In flood management, instruments for measuring precipitation and water level have become important for assessing and forecasting the trend of situations and areas of risk. However, such regions are international borders, so the installed measuring telemetry system cannot measure the rainfall and water level of the entire area. This study aims to predict 72 hours of water level and evaluate the situation as information to support the government in making water management decisions, publicizing them to relevant agencies, and warning citizens during crisis events. This research is applied to machine learning (ML) for water level prediction of the Golok River, Lan Tu Bridge area, Sungai Golok Subdistrict, Su-ngai Golok District, Narathiwat Province, which is one of the major monitored rivers. The eXtreme Gradient Boosting (XGBoost) algorithm, a tree-based ensemble machine learning algorithm, was exploited to predict hourly water levels through the R programming language. Model training and testing were carried out utilizing observed hourly rainfall from the STH010 station and hourly water level data from the X.119A station between 2020 and 2022 as main prediction inputs. Furthermore, this model applies hourly spatial rainfall forecasting data from Weather Research and Forecasting and Regional Ocean Model System models (WRF-ROMs) provided by Hydro-Informatics Institute (HII) as input, allowing the model to predict the hourly water level in the Golok River. The evaluation of the predicted performances using the statistical performance metrics, delivering an R-square of 0.96 can validate the results as robust forecasting outcomes. The result shows that the predicted water level at the X.119A telemetry station (Golok River) is in a steady decline, which relates to the input data of predicted 72-hour rainfall from WRF-ROMs having decreased. In short, the relationship between input and result can be used to evaluate flood situations. Here, the data is contributed to the Operational support to the Special Water Resources Management Operation Center in Southern Thailand for flood preparedness and response to make intelligent decisions on water management during crisis occurrences, as well as to be prepared and prevent loss and harm to citizens.

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Trends in Disaster Prediction Technology Development and Service Delivery (재난예측 기술 개발 및 서비스 제공 동향)

  • Park, Soyoung;Hong, Sanggi;Lee, Kangbok
    • Electronics and Telecommunications Trends
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    • v.35 no.1
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    • pp.80-88
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    • 2020
  • This paper describes the development trends and service provision examples of disaster occurrence and spread prediction technology for various disasters such as tsunamis, floods, and fires. In terms of fires, we introduce the WIFIRE system, which predicts the spread of large forest fires in the United States, and the Metro21: Smart Cities Institute project, which predicts the risk of building fires. This paper describes the development trends in tsunami prediction technology in the United States and Japan using artificial intelligence (AI) to predict the occurrence and size of tsunamis that cause great damage to coastal cities in Japan, Indonesia, and the United States. In addition, it introduces the NOAA big data platform built for natural disaster prediction, considering that the use of big data is very important for AI-based disaster prediction. In addition, Google's flood forecasting system, domestic and overseas earthquake early warning system development, and service delivery cases will be introduced.

Flash Flood Warning System for Mountainous Region Based on Hydrogeomorphological Approach (수문지형학적 접근에 기초한 산악지역의 돌발홍수예경보시스템 연구)

  • Kim, Hong-Tae;Shin, Hyun-Suk
    • Proceedings of the Korea Water Resources Association Conference
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    • 2005.05b
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    • pp.811-815
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    • 2005
  • 산악지역의 유출은 지형적 특성 때문에 매우 빠른 반응시간을 가지고 첨두유량 또한 매우 크게 마련인데 이러한 특성 때문에 산악지역의 돌발홍수 발생 메카니즘과 이것의 정확한 규명은 지금까지 수많은 연구과제의 주제가 되어왔다. 본 연구는 산악지역의 유출 특성을 잘 반영한다고 알려진 수문지형학을 기초한 지형기후학적단위도(geomorphoclimatic unit hydrograph, GCUH) 이론을 토대로 단일유역 산악지역과 분할유역 규모의 유출 특성을 규명하고 각각의 유역특성에 맞는 돌발홍수예경보시스템을 제안 및 비교 검토하고자 한다.

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Dynamic Simulation of Storm Surge and Storm Water-Combine Inundation on the Jeju Coastal Area (폭풍 해일 및 폭풍우로 인한 제주 해안역에서의 동역학적 범람 모의)

  • Lee, Jung-Lyul;Lee, Byung-Gul;Lee, Joo-Yong;Lim, Heung-Soo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.1945-1949
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    • 2006
  • A storm-induced coastal inundation model (SICIM) is presented to simulate the flood event during typhoon passage that often results in significant rise in sea-level heights especially in the upstream region of the basin. The SICIM is a GIS-based distributed hydrodynamic model, both storm surge and storm water inundations are taken into account. The spatial and temporal distribution of the storm water level and flux are calculated. The model was applied to Jeju Island since it has an isolated watershed that is easy to handle as a first step of model application. Another reason is that it is surrounded by coastal area exposed to storm surge inundation. The model is still advancing and will be the framework of a predictive early inundation warning system.

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Study of Flood Warning and Forcasting in Small to Medium scale Watershed (중소하천유역에서의 홍수예보 및 예측에 관한 연구)

  • Kim, Kyung-Tak;Kim, Joo-Hun;Choi, Yun-Seok
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.1126-1130
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    • 2006
  • 중랑천, 왕숙천 등과 같이 유역면적이 작은 유역에서 호우 발생에 따른 홍수예보 및 예측 업무를 수행하기 위해서는 선행시간 확보가 필수적이다. 본 연구는 중소하천 유역에서의 홍수예보 및 예측 업무를 통하여 하천 주요지점에서의 홍수예보 업무를 효과적으로 수행할 수 있도록 하는데 목적이 있다. 연구방법으로는 선행시간 확보를 위해 기상청의 수치예보자료에 대하여 정량적 강우예측 자료 활용방안을 검토하였다. 수치예보자료의 정확도 검토는 관측소별/소유역별로 구분하여 T/M자료와 수치예보자료를 통계학적 방법에 의해 검토하였다. 홍수예보 업무 활용을 위해 간단한 강우-유출 통계모형을 구성하여 홍수예측 업무를 수행하였다. 검증자료는 기왕의 수문자료 중 80mm 이상의 호우를 대상으로 실시하였고, 검증결과 활용가능성이 있음을 입증하였다. 본 연구성과를 기존의 주요지천 홍수예보업무에 활용할 수 있도록 하였다.

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The Transmission Power Controllers for the VSAT Having the ALC Functions (ALC 기능을 갖는 VSAT용 송신전력 제어기)

  • Hong, Sung-Taek;Shin, Gang-Wook;Lee, Dong-Keun;Lee, Young-Woo
    • Proceedings of the KIEE Conference
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    • 2005.07d
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    • pp.2495-2497
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    • 2005
  • The satellite communication equipment, which has been installed and operated for the flood forecast and warning system at KOWACO, needs the review of the transmission Power control for keeping the stable operation of the satellite communication equipments. In this study, made the sample hardware for the transmission power control at Mini-Hubs and remote sites, and developed the control algorithm for stable operation of the transmission power controller.

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Mountainous Flash Flood Monitoring and Improvement for the Prediction & Early Warning System (산지 돌발홍수 모니터링 및 예경보체계 개선)

  • Chung, Jae-Hak;Lee, Jong-Seol;Park, Sang-Hyung
    • Proceedings of the Korea Water Resources Association Conference
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    • 2011.05a
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    • pp.365-370
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    • 2011
  • 매년 반복되는 산간계곡에서의 인명피해를 저감하기 위하여 방재연구소에서는 "산지 돌발홍수 예측시스템"을 개발하였으며, '10년 우기철동안 시범지역의 모니터링을 통해 시스템의 문제점을 분석하고, 이를 개선하기 위한 방안을 검토하였다. 산지지역 강우에 대한 모니터링은 현재 지방자치단체에서 운영하고 있는 자동우량경보시설을 활용하였으며, 해당 시설중 특히 수위계가 설치된 지역에 대하여 검토하였다. 수위자료 모니터링 결과를 바탕으로 정확도를 검토한 결과, 5개 시범지역의 경우 약 56%의 정확도가 있는 것으로 나타났다. 산정되었다. 그러나 시스템을 수정 보완한 후에는 정확도가 66%로 증가하였다. 향후 지속적인 모니터링과 문제점 분석을 통해 정확도를 지속적으로 향상시킬 계획이다.

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Analysis of Flood Prediction and Warning Alert Standard for Urban Mid and Small Stream (도시지역 중소하천 홍수예경보 발령 기준 산정)

  • Song, yang-ho;Lee, jung-ho
    • Proceedings of the Korea Contents Association Conference
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    • 2016.05a
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    • pp.463-464
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    • 2016
  • 본 연구에서는 하나의 도시유역 중소하천에 대하여 수리 수문 분석을 바탕으로 홍수예경보 발령을 위한 일련의 분석 체계를 수립하였다. 이를 통해 산정된 결과물은 강우지속기간별 경보발령 기준 강우량 수치이다. 이것은 해당 하천이 합류하는 본류 하천의 배수위 영향에 따라 달라질 수 있다. 경보발령 기준 강우량 산정을 위한 도시유역 중소하천의 수리 수문 분석은 가장 일반적인 해석 모형인 HEC-HMS 및 HEC-RAS 모형들을 상호 연계하여 이루어졌으며, 경보발령 기준 강우량 산정에 있어서는 상 하류의 다양한 관측수위 조건을 고려하였다.

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The Research of Establishing Direction and Application of Transportation Disaster Prevention System (교통방재시스템의 구축 방향 및 활용에 대한 연구)

  • Lee, Sang-Hwa;Son, Young-Tae
    • 한국방재학회:학술대회논문집
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    • 2008.02a
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    • pp.309-312
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    • 2008
  • In Korea, although the damage from disaster (flood and storm) is increasing, the early stage warning and countermeasure are not in operation rapidly. The research areas of transportation engineering arenot diverse, so once the road is flooded and interrupted, drivers, the system operators and managers are in panic, and nearby roads are in terrible traffic congestion. In case of Korea, the research of evacuation is highly needed, because it is very necessary and easy to apply in real field. In this paper, we establish the concept of transportation disaster prevention system and suggest the directions of it. In addition, based on this research, we choose one example of disasters and establish an example of the transportation disaster prevention system. Our goal is to make steps; prevention, preparation, countermeasure and restoration in the view of minimizing on social chaos and damages emphasizing aspect of transportation countermeasure. This research will be the good precedent of approach, analysis and countermeasure when the disasters are occurred, and a basis of transportation disaster prevention system and manual in Korea.

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Down Stream Flood Forecasting and Warning Method Using Parellel River Stage (병렬 하천수위를 이용한 하류 홍수위 예경보기법)

  • Kwon, Ki-Dae;Choo, Yean-Moon;Jee, Hong-Kee
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.393-397
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    • 2012
  • 인접한 저수지 간의 연계운영을 통한 홍수조절 및 용수공급능력을 제고시키기 위해서 저수용한 공유기법의 일환인 병렬저수지 시스템을 연구대상으로 안동댐 및 임하댐 유역을 연계운영기법으로서 홍수조절능력을 제고시키고 안동댐의 저수량을 확보시켜 용수공급능력을 제고시킬 수 있는 방법을 연구하였다. 특히 유역추적과 하도추적을 통해 계산된 매개변수들을 실제 형태와 비교분석하여 산정하고, 이에 따른 가장 적합한 강우-유출해석을 통한 하류 지역의 홍수 피해를 최소화하기 위한 예 경보 기법을 제시하였다. 최적의 유수전환용량을 산정하기 위해 저수지간의 Swiching 기법을 고려하였으며, HEC-HMS 모형을 이용하여 재현기간별 유입량을 예측하여 결과를 도출하였다.

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