• Title/Summary/Keyword: 홍수피해분석

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Factors Influencing Disaster Preparedness of Students Studying Emergency Rescue (일 지역 응급구조(학)과 학생들의 재난대비에 영향을 미치는 요인)

  • Choi, Seong-Woo;Ju, Ho-Hyeon
    • The Journal of the Korea Contents Association
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    • v.16 no.7
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    • pp.651-658
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    • 2016
  • As three sides of Korea are surrounded by the sea and it is geographically located at an intersect point for continental and maritime climate, the climate crisis and global warming factors that lead to large-scale natural disasters such as typhoons, floods, and tsunami as well as disasters and damage to humans are increasing due to rapid urbanization and industrialization. Therefore, this study measured the ability of people to cope with disaster in students studying emergency rescue who will play a central role in safety and casualty control in disaster areas in order to figure out the factors that will influence their overall ability. As a result, the following things were discovered: Those who had the experience of listening to information on how to cope in a disaster scored significantly higher in disaster coping scores than those who did not. In comparison with subjects who responded that they were not satisfied with their emergency rescue training at school, those who responded that they were satisfied with their education scored significantly higher in their disaster coping scores. In comparison with subjects who responded negatively to the questions on experience in emergency rescue training as an extracurricular program, those who responded affirmatively to the questions were evaluated as significantly higher in their disaster coping scores. This study suggests that specific strategies can be taken and are needed to improve the ability to cope with disasters in students who are studying emergency rescue.

Selection of Irrigation Structures which Effected by Wastewater by GIS (하수처리수에 영향을 받는 관개용 수리시설 선정과 GIS 자료구축)

  • Kim, Hae-Do;Lee, Kwang-Ya;Chung, Kwang-Kun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2007.05a
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    • pp.273-277
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    • 2007
  • 하수처리장 현황은 2005년을 기준으로 271개소이며 2006년에는 23개소(526.1천톤/일)가 완공되어 총 294개소(22백만톤/일)의 하수처리장이 운영중에 있다. 또한 2006년내에 완공예정인 처리장은 68개소(693.5천톤/일)로서 2007년도에는 총 362개소(23,087천톤/일)로 예상하고 있다. 하수처리수를 년간으로 환산하면 약 84억톤 정도이며 이는 전체 수자원이용량 331억톤의 25%에 해당하는 수치이며, 농업용수이용량인 158억톤의 53%를 차지하는 규모이다. 이처럼 매년 $5{\sim}7%$씩 하수처리수가 늘어나고 있으며 더욱이 대부분 기존의 관개용 수리시설에 인접하여 방류되어 직 간접적으로 재이용되고 있는 실정이다. 본 연구에서는 기존 농업기반시설에 인접한 하수처리수가 얼마큼 농업에 영향을 주고 있는지를 파악하기 위해 GIS 기법을 이용하여 하수처리장으로부터 일정한 거리에 인접하거나 방류지점 하류에 위치한 관개용 수리시설을 찾아내어 재이용 관리지역으로 선정하였고 현장조사를 실시하여 재이용정보를 DB로 구축하였다. 연구결과 전국 271개소 하수처리장중 관개용 수리시설보다 상류측에 있으면서 반경 1.5km 이내에 위치한 하수처리장은 127개소로 나타났으며 현장조사결과 많은 지역에서 하수처리수를 농업용으로 직접 또는 간접적으로 이용하고 있었다. 이처럼 주변상황으로 인해 하수처리수를 농촌용수로 이용할 수밖에 없는 지역이 발생하고 있고 앞으로도 하수처리장이 계속 증설되고 있는 한 기존의 농업수리시설물은 하수처리수의 영향이 더욱 커질 것으로 판단되므로 하수처리장 주변의 농업기반시설에 대한 지속적인 관리가 필요하다.의(2005년 10월 19일)에서는 농업용수 10% 절약 대책과 유역단위의 통합적 물 관리를 요구하게 되었다. 우리나라는 현실적으로 매년 홍수 피해가 발생하고 있지만, 다른 한편 인구밀도가 높고 1인당 가용 수자원이 상대적으로 적기 때문에 국지적 물 부족 문제를 경험하고 있다. 최근 국제적으로도 농업용수의 물 낭비 최소화와 절약 노력 및 타 분야 물 수요 증대에 대한 대응 능력 제고가 매우 중요한 과제로 부각되고 있다. 2006년 3월 멕시코에서 개최된 제4차 세계 물 포럼에서 국제 강 네트워크는 "세계 물 위기의 주범은 농경지", "농민들은 모든 물 위기 논의에서 핵심"이라고 주장하고, 전 프랑스 총리 미셀 로카르는 "...관개시설에 큰 문제점이 있고 덜 조방적 농업을 하도록 농민들을 설득해야 한다. 이는 전체 농경법을 바꾸는 문제..."(segye.com, 2006. 3. 19)라고 주장하는 등 세계 물 문제 해결을 위해서는 농업용수의 효율적 이용 관리가 중요함을 강조하였다. 본 연구는 이러한 국내외 여건 및 정책 환경 변화에 적극적으로 대처하고 물 분쟁에 따른 갈등해소 전략 수립과 효율적인 물 배분 및 이용을 위한 기초연구로서 농업용수 수리권과 관련된 법 및 제도를 분석하였다.. 삼요소의 시용 시험결과 그 적량은 10a당 질소 10kg, 인산 5kg, 및 가리 6kg 정도였으며 질소는 8kg 이상의 경우에는 분시할수록 비효가 높았으며 특히 벼의 후기 중점시비에 의하여 1수영화수와 결실율의 증대가 크게 이루어졌다. 3. 파종기와 파종량에 관한 시험결과는 공시품종선단의 파종적기는 4월 25일부터 5월 10일경까지 인데 이 기간중 일찍 파종하는 경우에 파종적

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Analysis of extreme wind speed and precipitation using copula (코플라함수를 이용한 극단치 강풍과 강수 분석)

  • Kwon, Taeyong;Yoon, Sanghoo
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.4
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    • pp.797-810
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    • 2017
  • The Korean peninsula is exposed to typhoons every year. Typhoons cause huge socioeconomic damage because tropical cyclones tend to occur with strong winds and heavy precipitation. In order to understand the complex dependence structure between strong winds and heavy precipitation, the copula links a set of univariate distributions to a multivariate distribution and has been actively studied in the field of hydrology. In this study, we carried out analysis using data of wind speed and precipitation collected from the weather stations in Busan and Jeju. Log-Normal, Gamma, and Weibull distributions were considered to explain marginal distributions of the copula. Kolmogorov-Smirnov, Cramer-von-Mises, and Anderson-Darling test statistics were employed for testing the goodness-of-fit of marginal distribution. Observed pseudo data were calculated through inverse transformation method for establishing the copula. Elliptical, archimedean, and extreme copula were considered to explain the dependence structure between strong winds and heavy precipitation. In selecting the best copula, we employed the Cramer-von-Mises test and cross-validation. In Busan, precipitation according to average wind speed followed t copula and precipitation just as maximum wind speed adopted Clayton copula. In Jeju, precipitation according to maximum wind speed complied Normal copula and average wind speed as stated in precipitation followed Frank copula and maximum wind speed according to precipitation observed Husler-Reiss copula.

Reliability evaluations of time of concentration using artificial neural network model -focusing on Oncheoncheon basin- (인공신경망 모형을 이용한 도달시간의 신뢰성 평가 -온천천 유역을 대상으로-)

  • Yoon, Euihyeok;Park, Jongbin;Lee, Jaehyuk;Shin, Hyunsuk
    • Journal of Korea Water Resources Association
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    • v.51 no.1
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    • pp.71-80
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    • 2018
  • For the stream management, time of concentration is one of the important factors. In particular, as the requirement about various application of the stream increased, accuracy assessment of concentration time in the stream as waterfront area is extremely important for securing evacuation at the flood. the past studies for the assessment of concentration time, however, were only performed on the single hydrological event in the complex basin of natural streams. The development of a assessment methods for the concentration time on the complex hydrological event in a single watershed of urban streams is insufficient. Therefore, we estimated the concentration time using the rainfall- runoff data for the past 10 years (2006~2015) for the Oncheon stream, the representative stream of the Busan, where frequent flood were taken place by heavy rains, in addition, reviewed the reliability using artificial neural network method based on Matlab. We classified a total of 254 rainfalls events based on over unrained 12 hours. Based on the classification, we estimated 6 parameters (total precipitation, total runoff, peak precipitation/ total precipitation, lag time, time of concentration) to utilize for the training and validation of artificial neural network model. Consequently, correlation of the parameter, which was utilized for the training and the input parameter for the predict and verification were 0.807 and 0.728, respectively. Based on the results, we predict that it can be utilized to estimate concentration time and analyze reliability of urban stream.

Study of Local Area Weather Condition Monitoring System in WSN (WSN기반의 국지적 기상모니터링 시스템 고찰)

  • Chung, Wan-Young;Jung, Sang-Joong;Kim, Jong-Jin;Kwon, Tae-Ha
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.05a
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    • pp.271-276
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    • 2009
  • An local area weather condition monitoring system to minimize many disasters from the sudden change of weather condition in local and mountain area is proposed. Firstly, the comparison of present state of the related monitoring systems and the possibility of realization with some merits are investigated. Moreover, this paper present direction of local area weather condition monitoring system based on integration of wireless sensor network and CDMA network following some case study. Through the efficient integration of both networks, the measured weather condition data from sensors can be transmitted to the server or mobile to monitor with high reliability. The proposed monitoring system will guide new type of project in wireless sensor network and support alarm service of the sudden change of weather condition to mobile user from central official regulations.

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Feasibility of Economic Analysis of Riverfront Facility Based on Mobile Big Data (통신 빅데이터 기반 하천이용시설 사용성능 경제성평가기법개발)

  • Choi, Byeong Jun;Noh, Hee-Ji;Bang, Young Jun;Lee, Seung Oh
    • Journal of Korean Society of Disaster and Security
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    • v.14 no.3
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    • pp.29-38
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    • 2021
  • Riverfront facilities are river space facilities used by citizens for the rest and convenience. Recently, although the importance of efficient maintenance of riverfront facilities is increasing, damaging facilities cases are increasing due to frequent floods. Currently, the inspections and diagnosis of river space facilities are limited to the main flood control facilities. And the standards for the maintenance and management of the riverfront facilities are insufficient. Utilization survey, which is the standard for managing river space facilities, is also inefficient in terms of manpower consumption and economic feasibility. This study uses mobile big data to classify river usage and conducts a survey for usability of river facilities to derive economic evaluation for usage performance. In the future, if economical method system that considers safety, usability, and durability is conducted and demanding analysis for each convenience facility is evaluated, it is expected that the efficient maintenance of riverfront facilities is perfomed better and the use of rivers by citizens will further increase.

Flood Runoff Computation for Mountainous Small Basins using WMS Model (WMS 모형을 활용한 산지 소하천 유역의 유출량 산정)

  • Chang, Hyung Joon;Lee, Jung Young;Lee, Hyo Sang
    • Journal of Korean Society of Disaster and Security
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    • v.14 no.4
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    • pp.9-15
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    • 2021
  • The frequency of flash floods in mountainous areas is increasing due to the abnormal weather that occurs increasingly in the recent, and it causes human and material damages is increasing. Various plans for disaster mitigation have been established, but artificial plans such as raising embankment and dredging operation are inappropriate for valleys and rivers in national parks that prioritize nature protection. In this study, flood risk assessment was conducted for Gyeryongsan National Park in Korea using the WMS (Watershed Modeling System)which is rainfall runoff model for valleys and rivers in the catchment. As the result, it was simulated that it is flooding in three sub-catchments (Jusukgol, Sutonggol, Dinghaksa) of a total in Gyeryongsan National Park when rainfall over the 50 years return period occurs, and it was confirmed that the risk of trails and facilities what visitors are using was high. The risk of trails in national parks was quantitatively presented through the results of this study, and we intend to present the safe management guidelines of national parks in the future.

Characterization of broad bean wilt virus 2 isolated from Perilla frutescens in Korea (국내 잎들깨에서 발생한 잠두위조바이러스2의 특성 구명)

  • Hyun-Sun Kim;Hee-Seong Byun;You-Ji Choi;Hyun-Yong Choi;Jang-Kyun Seo;Hong-Soo Choi;Bong-Choon Lee;Mikyeong Kim;Hae-Ryun Kwak
    • Korean Journal of Environmental Biology
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    • v.41 no.1
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    • pp.1-13
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    • 2023
  • Broad bean wilt virus 2 (BBWV2) is a species in the genus Fabavirus and family Secoviridae, which is transmitted by aphids and has a wide host range. The BBWV2 genome is composed of two single-stranded, positive-sense RNAs, RNA-1 and RNA-2. The representative symptoms of BBWV2 are mosaic, mottle, vein clearing, wilt, and stunting on leaves, and these symptoms cause economic damage to various crops. In 2019, Perilla fructescens leaves with mosaic and yellowing symptoms were found in Geumsan, South Korea. Reverse-transcription polymerase chain reaction (RT-PCR) was performed with specific primers for 10 reported viruses, including BBWV2, to identify the causal virus, and the results were positive for BBWV2. To characterize a BBWV2 isolate (BBWV2-GS-PF) from symptomatic P. fructescens, genetic analysis and pathogenicity tests were performed. The complete genomic sequences of RNA-1 and RNA-2 of BBWV2-GS-PF were phylogenetically distant to the previously reported BBWV2 isolates, with relatively low nucleotide sequence similarities of 76-80%. In the pathogenicity test, unlike most BBWV2 isolates with mild mosaic or mosaic symptoms in peppers, the BBWV2-GS-PF isolate showed typical ring spot symptoms. Considering these results, the BBWV2-GS-PF isolate from P. fructescens could be classified as a new strain of BBWV2.

Prediction System for Turbidity Exclusion in Imha Reservoir (임하호 탁수 대응을 위한 예측 시스템)

  • Jeong, Seokil;Choi, Hyun Gu;Kim, Hwa Yeong;Lim, Tae Hwan
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.487-487
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    • 2021
  • 탁수는 유기물 또는 무기물이 유입되면서 빛의 투과성이 낮아진 수체를 의미한다. 탁수가 발생하게 되면 어류의 폐사, 정수처리 비용의 증가 및 경관의 변화로 인한 피해가 발생하게 된다. 국내에서는 홍수기 또는 태풍 시 유역의 토사가 저수지 상류에서 유입하여 호내의 탁수를 발생시키는 경우가 있는데, 특히 낙동강 유역의 임하호에서 빈번하게 고탁수가 발생하여 왔다. 본 연구에서는 임하호에서 탁수 발생 시 신속 배제를 위한 수치적인 예측 시스템을 소개하고자 한다. 저수지 탁수관리의 기본개념은 용수공급능력을 고려한 고탁수의 신속한 배제이다. 이는 선제적 의사결정을 요구하므로, 지류에서 탁수가 발생한 즉시 향후 상황에 대한 예측이 필요하다. 이러한 예측을 위해 유역관리처는 3단계의 수치해석을 수행한다. 첫 번째는 유역 상류에서 탁수가 감지되었을 때, 호 내 탁수의 분포를 예측하는 것이다. 수심 및 수평방향의 탁수 분포에 대한 상세한 결과가 도출되어야 하기에, 3차원 수치해석 프로그램인 AEM3D를 이용한다. 이때, 과거 고탁수 유입에 대한 자료를 기반으로 산정된 매개변수가 적용된다. 두 번째는 예측된 호내 분포를 초기조건으로 댐 방류량 및 취수탑 위치(선택배제)에 따른 탁수 배제 수치해석을 수행하게 된다. 다양하고 많은 case에 대한 신속한 모의 및 3달 이상의 장기간 예측을 요구하므로, 2차원 수치모델인 CE-QUAL-W2를 활용한다. 이 단계에서 수자원의 안정적 공급이 가능한 범위 내에서 효과적인 탁수 배제 방류 방법 등이 결정되며, 방류 탁도가 예측된다. 세 번째 단계는 방류탁도를 경계조건으로 하여 하류 하천(반변천~내성천 합류 전)의 탁도를 예측하는 것이다. 하천의 탁도 예측은 국내뿐만 아니라 국외에서도 그 사례를 찾아보기가 쉽지 않은데, 이는 중소형의 지류에 대한 입력자료가 충분하지 않고 불확실성이 높기 때문이다. 이에 과거 10여 년의 data를 이용한 회귀분석을 통해 탁수 발생물질(SS)-부유사-유량과의 관계를 도출하고, 2차원 하천모델(EFDC)을 이용하여 수심 평균 탁도를 예측하게 된다. 이러한 세 단계의 예측은 탁수가 호내로 유입됨에 따라 반복되고, 점차 예측 정확도가 향상되게 된다. 세 단계의 과정을 통한 임하호 탁수의 조기 배제는 현재 적지 않은 효과를 거두고 있다고 판단된다. 그러나 탁수를 발생시키는 현탁물질의 종류는 매번 일정하지 않기 때문에, 이러한 예측 시스템에 정확도에 영향을 줄 수 있으므로, 여러 상황을 고려한 딥러닝을 도입하여 탁수 물질에 대한 정보를 예측한다면 보다 합리적인 의사결정 지원 도구가 될 수 있을 것이다.

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The Estimation of Soil Moisture Index by SWAT Model and Drought Monitoring (SWAT 모형을 이용한 토양수분지수 산정과 가뭄감시)

  • Hwang, Tae Ha;Kim, Byung Sik;Kim, Hung Soo;Seoh, Byung Ha
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.4B
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    • pp.345-354
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    • 2006
  • Drought brings on long term damage in contrast to flood, on economic loss in the region, and on ecologic and environmental disruptions. Drought is one of major natural disasters and gives a painful hardship to human beings. So we have tried to quantify the droughts for reducing drought damage and developed the drought indices for drought monitoring and management. The Palmer's drought severity index (PDSI) is widely used for the drought monitoring but it has the disadvanges and limitations in that the PDSI is estimated by considering just climate conditions as pointed out by many researchers. Thus this study uses the SWAT model which can consider soil conditions like soil type and land use in addition to climate conditions. We estimate soil water (SW) and soil moisture index (SMI) by SWAT which is a long term runoff simulation model. We apply the SWAT model to Soyang dam watershed for SMI estimation and compare SMI with PDSI for drought analysis. Say, we calibrate and validate the SWAT model by daily inflows of Soyang dam site and we estimate long term daily soil water. The estimated soil water is used for the computation of SMI based on the soil moisture deficit and we compare SMI with PDSI. As the results, we obtained the determination coefficient of 0.651 which means the SWAT model is applicable for drought monitoring and we can monitor drought in more high resolution by using GIS. So, we suggest that SMI based on the soil moisture deficit can be used for the drought monitoring and management.