• Title/Summary/Keyword: torrential rains

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The Reducing Effects Analysis of Floods through Washland Construction in Hwapocheon Basin (화포천 유역의 천변저류지 조성을 통한 홍수 저감효과 분석)

  • Jeong, Young-Won;Kim, Young-Do;Park, Jae-Hyun;Yoon, Byung-Man
    • Proceedings of the Korea Water Resources Association Conference
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    • 2009.05a
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    • pp.1489-1493
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    • 2009
  • The disaster with many casualties every year by floods, and the economic loss will occur in Korea. The establishment and the recovery measures are necessary. In this research, we analyzed the effect for reducing flood by making washland in flood season, where is used as the wetland in non-flood season in Hwapocheon basin of Nakdong River, Korea. We prepared draingage of inner basin for flood in the past because the water elevation of Hwapocheon is lower than the water elevation of the Nakdong River. On the other hand, now a days, drainage capacity of the expansion and change of the height of the embankment have limitations, because of the increase in torrential rains. In this study, HEC-RAS is used for the unsteady flow routing for the effectiveness analysis of flood level mitigation in flood season. This analysis was performed according to the scenarios of washland construction location and its scale.

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Performance Comparison between Neural Network Model and Statistical Model for Prediction of Damage Cost from Storm and Flood (신경망 모델과 확률 모델의 풍수해 예측성능 비교)

  • Choi, Seon-Hwa
    • The KIPS Transactions:PartB
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    • v.18B no.5
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    • pp.271-278
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    • 2011
  • Storm and flood such as torrential rains and major typhoons has often caused damages on a large scale in Korea and damages from storm and flood have been increasing by climate change and warming. Therefore, it is an essential work to maneuver preemptively against risks and damages from storm and flood by predicting the possibility and scale of the disaster. Generally the research on numerical model based on statistical methods, the KDF model of TCDIS developed by NIDP, for analyzing and predicting disaster risks and damages has been mainstreamed. In this paper, we introduced the model for prediction of damage cost from storm and flood by the neural network algorithm which outstandingly implements the pattern recognition. Also, we compared the performance of the neural network model with that of KDF model of TCDIS. We come to the conclusion that the robustness and accuracy of prediction of damage cost on TCDIS will increase by adapting the neural network model rather than the KDF model.

Introduction of Soil Network(Gold Network) as one of the Ecological Network (생태네트워크로서의 토양네트워크(Gold Network) 제안)

  • Lee, Dong-Kun;Lee, Hochul;Kim, Eunyoung;Song, Wonkyong;Kim, Young Ja;Hwang, Sangyeon
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.16 no.1
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    • pp.245-257
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    • 2013
  • Lately, besides promoting the biodiversity of the natural ecosystems, there is a demand for climate change mitigation features that will reduce greenhouse gases and prevent disasters that will bring damages such as torrential rains. However, there was not a lot of discussion on the soils that are key in these features. Therefore, this paper proposes a network (Gold Network) as an alternative that will solve the problem that was filed earlier by figuring out how to compose the soil environment. First, in order to maximize the ecological status and value of the soil, a soil network can be proposed through the vertical and horizontal connections of the fragmented soil. Second, there is a need to understand and research the organic system of the ecosystems as well as the complex perspective of the ecosystem services, not only the fragmentary perspectives of the soil remediation, planting improvements or the other existing elements. Third, there is a need to apply the integrated perspective of the Landscape Ecology, Ecological Engineering and Restoration Ecology for the connectivity of the soil (network) due to it being in the execution of the soil network. If a soil network was to be built, a fundamental ecological network would be realized to not only promote biodiversity but also to prepare effective adaptation to climate change.

Techniques of flood damage investigation and flood losses data management (홍수재해조사 및 재해자료관리 기법)

  • 김양수
    • The Journal of Engineering Geology
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    • v.10 no.2
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    • pp.36-51
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    • 2000
  • Almost every year, Korean suffered from the repetitive natural disasters such as typhoons and floods. During last 10 years, Korea experienced annual average of $50 million property damages caused by inundation. To estabilish the flood disaster counter plan, knowledge for flood damage causes based on the field investigations of inundated area is required. The field investigations is focused on technique to document and analyze the meteorological conditions leading to torrential rains, the causes and patterns of flooding, the performance of flood control structures in affected areas, the extent damages and the effectiveness of local emergency response and recovery actions. We did comparative analysis of field investigation techniques. As a major goal of flood hazard map design, one of non structural disaster countermeasures, it was expected to reduce flood damage losses by requiring local governments to implement land-use regulation that would result in safe building practices in flood hazard areas. This requires local governments to develop flood hazard maps to assess how to manage particularly vulnerable floodplain areas. In this study we suggested a design manual and the management system of flood hazard map.

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Experimental Performance Comparison for Prediction of Red Tide Phenomenon (적조현상의 실험적 예측성능 비교)

  • Heo, Won-Ji;Won, Jae-Kang;Jung, Yong-Gyu
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.49 no.2
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    • pp.1-6
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    • 2012
  • In recent years global climate change of hurricanes and torrential rains are going to significantly, that increase damages to property and human life. The disasters have been several claimed in every field. In future, climate changes blowing are keen to strike released to the world like in several movies. Reducing the damage of long-term weather phenomena are emerging with predicting changes in weather. In this study, it is shown how to predict the red tide phenomenon with multiple linear regression analysis and artificial neural network techniques. The red tide phenomenon causing risk could be reduced by filtering sensor data which are transmitted and forecasted in real time. It could be ubiquitous driven custom marine information service system, and forecasting techniques to use throughout the meteorological disasters to minimize damage.

Economic Benefit Analysis of Urban Meteorological Information Service Using Contingent Valuation Method (조건부가치측정법을 이용한 도시기상정보서비스의 경제적 편익 분석)

  • Cho, Youngsang;Koo, Yoonmo;Lee, Jongsu;Lee, Joong-Woo
    • Environmental and Resource Economics Review
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    • v.20 no.4
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    • pp.643-662
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    • 2011
  • As the concentration of people in urban area become severe and abnormal meteorological disasters such as regional torrential rains, heavy snows, sweltering heat, and so on have been increasing, the interest on the urban meteorological information service, which considers the specific characteristics of metropolitan areas in weather forecasting, are also increasing. The urban meteorological information service is one of up-to-date technologies which observes urban weather in a more microscale perspective compared to the present weather forecasting system and provides useful meteorological information which is specialized for metropolises in real time. Therefore, urban meteorological information service is expected to contribute to the increase in quality of life for citizens and to the development of industry in urban areas. In this study, we estimate the economic benefit of the urban meteorological information service using contingent valuation method with survey data of the citizens who are expected to be the direct customers of this new information service. As a result, we conclude that the household is willing to pay 5,963 Korean won per year on average, during a period of five years, for receiving this meteorological information service, and this willingness-to-pay is varied by the socio-economic characteristics of head of the household.

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Changes in Localized Heavy Rain that Cause Disasters Due to Climate Crisis - Focusing on Gwangju (기후 위기로 인한 재난을 야기하는 집중호우 변화 - 광주광역시를 중심으로)

  • Kim, Youn-Su;Chang, In-Hong;Song, Kwang-Yoon
    • Journal of Integrative Natural Science
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    • v.14 no.4
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    • pp.162-175
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    • 2021
  • Recently, due to global warming, the average temperature of the earth has risen, and the glaciers in the Antarctic and Arctic melt, leading to a rise in sea level, which is accompanied by powerful natural disasters such as strong typhoons and tsunamis around the world. Accordingly, a precipitation in summer in Korea also increased, and changes in the form of precipitation were showed with the increase. Compared to the past, the frequency of localized heavy rain is increasing, and the damage from flooding and flooding is increasing day by day. In this study, based on the precipitation data measured in hours from May to September from 2016 to 2021 according to the change in the precipitation form, according to the nature of the torrential rain investigated the change in the summer precipitation form. In addition, the trend of localized heavy rain from 2016 to 2021 was confirmed by classifying them into two types: localized heavy rains caused by cyclones and weather front, and by typhoons and large-scale cyclones. Through this, the change in precipitation due to the climate crisis should not be viewed as a single phenomenon, it should be reflected and discussed on our life focused on scientific and technological development, and it should be used as a stepping stone for realizing a humanistic.

Simulation of the Flood Damage Area of the Imjin River Basin in the Case of North Korea's Hwanggang Dam Discharge (북한 황강댐 유출량에 따른 임진강유역 홍수 피해 지역 시뮬레이션)

  • Park, Sung-Jae;Lee, Chang-Wook
    • Korean Journal of Remote Sensing
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    • v.34 no.6_1
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    • pp.1033-1039
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    • 2018
  • In Korea, every year during the summer season, typhoons and torrential rains cause floods and damage to property. In particular, the Imjin River basin is characterized by steep slopes, narrow upstream areas, and low flat downstream areas, which are vulnerable to floods. In addition, damages occurred due to unauthorized discharge in the Hwanggang Dam, a large dam upstream of the Imjin River in North Korea. In order to prevent such flood damage, Korea is constructing the Gunnam Flood Control Site in 2010 to prevent flood damage. However, even after the construction of the flood control zone, the flood control capacity is only 20% of the maximum water level of the Hwanggang dam. This study used LAHARZ_py program to calculate flood damage area in the northern part of Gyeonggi province. As a result, when the discharge of Hwanggang dam exceeding the flood control ability of Gunnam flood control zone occurs, damage to Yeoncheon-gun and Paju-si of Gyeonggi-do was expected. This study will be useful as a material to prepare for flood damage.

A Study on the Bed Load Collision Sound Analysis Using Sound Sensor and Denoising Filter (음향센서와 디노이징 필터를 활용한 향상된 소류사 충돌음 분석 연구)

  • Kim, Sung Uk;Jun, Kye Won
    • Journal of Korean Society of Disaster and Security
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    • v.14 no.2
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    • pp.43-50
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    • 2021
  • In Korea, the frequency of soil disasters has soared recently due to increased torrential rains caused by abnormal weather conditions. In particular, soil generated from mountainous areas is flowing into small rivers along valleys, depositing rivers and adding to flood damage. In order to prevent damage from such soil disasters, it is important to predict sediments and to quantitatively identify bed load. In this work, we conducted an experiment to indirectly measure acoustic sensor-based bed load collision sounds using pipe hydrophones, and compared them with raw data by applying denoising methods to improve the reliability of the measured data. As a result, we derive results in a more clear analysis of bed load estimation by correcting noise when the denoising method is applied to raw data.

Structural Stability Evaluation of Eco-Friendly Prefabricated Rainwater Infiltration Type Detention Facility with Red Clay Water-Permeable Block Body (황토투수블록체를 적용한 친환경 조립식 빗물 침투형 저류시설의 구조 안정성 평가)

  • Choi, Hyeonggil;Lee, Taegyu;Kim, Hojin;Choi, Heeyong
    • Journal of the Korea Institute of Building Construction
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    • v.22 no.1
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    • pp.1-10
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    • 2022
  • Recently, due to the frequent occurrence of localized torrential rains and heat waves caused by abnormal climates. For this reason, it is necessary to develop an economical and eco-friendly rainwater detention facility that can secure the groundwater level through rainwater detention as well as flood prevention against concentrated rainfall by simultaneously implementing rainwater permeation and storage. In this study, the structural safety of an eco-friendly rainwater infiltration type detention facility made using eco-friendly inorganic binders including red clay was examined. Static analysis considering the constant load and additional vertical load and dynamic analysis considering the seismic spectrum were performed. As a result, it was found that the eco-friendly prefabricated rainwater infiltration type detention facility developed in this study has a maximum stress of about 68.1% to 75.4% and a maximum displacement of about 0.9% to 9.6% under the same load and seismic conditions compared to the existing PE block rainwater detention facility. It was confirmed that the eco-friendly prefabricated rainwater infiltration type detention facility secured excellent structural stability.