• 제목/요약/키워드: Flood Impacted Areas

검색결과 6건 처리시간 0.021초

전략적 정보제공을 위한 침수영향구역 클러스터링 (Dentifying and Clustering the Flood Impacted Areas for Strategic Information Provision)

  • 박은미;빌랄 무하메드
    • 한국ITS학회 논문지
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    • 제20권6호
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    • pp.100-109
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    • 2021
  • 본 연구는 폭우로 인해 도로침수가 발생되고 그로 인한 교통상황 악화가 발생할 때, 도로이용자와 침수와 혼잡 상황을 관리하는 시의 관리자들에 필요한 정보를 생산하기 위한 방법론에 대한 연구이다. 홍수와 같은 재난상황에서, 도로이용자들의 2차 피해를 막고, 도로상황 악화를 방지하며 빠른 회복을 위해서는, 적절한 정보가 제공되어야 한다. 도시의 규모에 따라 차이가 있겠으나, 도시에 수천 개의 구간이 존재하고, 특히 홍수와 같은 상황에서 수백 개 내지 천개 이상의 혼잡구간이 존재할 때, 개별 구간단위 혼잡수준 정보는 재난상황관리에 더 이상 유용하지 않다. 본 연구에서는 홍수상황에 영향을 받는 링크들을 공간적으로 클러스터링하고, 클러스터에 포함되지 못하는 영향 링크들은 정보제공 대상에 열외 시켜 무의미한 정보는 제외될 수 있도록 하였다. 또한 클러스터의 시공간적 특성, 즉 시간적 지속성, 공간적 크기를 산정하여, 영향 지역의 심각도 정보가 제공될 수 있도록 하였다. 본 연구를 통하여 만들어진 정보는 도로 이용자와 도시 관리자 모두가 홍수로 파급된 도로네트워크 문제에 적절히 대응하게 하는데 활용될 수 있을 것으로 기대된다.

수재민의 수해로 인한 영향과 삶의 질에 관한 연구 (A Study on Impact of Flood Disaster and Quality of Life among the Flood Victims)

  • 이선혜
    • 지역사회간호학회지
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    • 제15권1호
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    • pp.145-154
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    • 2004
  • Purpose: This study was performed to identify the extent of flood damage, the quality of life(QOL) and their relationships to flood victims. Method: The subjects of this study were 248(men 100, women 148) who live around seven areas in K province impacted by Typhoon Rusa. Data was collected between February 25 and March 21, 2003 by structured questionnaires. The instruments were composed of two parts. The extent of flood damage were the impacts of daily living by revised from Ginexi et aI.(2000). QOL was used to WHOQOL BREF Korean Version by Min et al.(2002). The SPSS program was used for its descriptive, reliability, and correlation analysis. Result: The means of the extent of flood damage were: daily living 1.88, economy 4.60, and health 3.75. The mean of total QOL was 2.95: social domain 3.29, overall satisfaction 3.09, physical domain 3.06, psychological domain 2.95, and environmental domain 2.68. The negative correlations were between the Impact of daily living and Total QOL(r=-.143, p<.05), Physical QOL(r=-.220, p<.01) and Overall satisfaction (r=-141, p<.05). Conclusion: This study has learned that the impact of the flood had negative effects on the flood victims quality of life, and the difficulties they faced in their daily lives. Further research will be needed to explore influencing factors on QOL in disaster victims.

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Socio-economic and Environmental Impact Assessment in Agricultural Cultivation, Case Studies in Rice Cultivation and Shrimp Farming in the Mekong River Delta, Vietnam

  • Nguyen, Tran Nhan Tanh;Tran, Thi Hong Ngoc
    • 환경영향평가
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    • 제18권6호
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    • pp.461-467
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    • 2009
  • This paper provides two case studies of environmental impacts with socio-economic values. The first case is on flood protection levees conducted from 2003 to 2004 in Phu Tan district, An Giang province. The impacts were found by comparing full flood protection levees area (FFPL) to non-full flood protection levees area (NFFPL). Participatory Rural Appraisal (PRA) tools per each group of rich, middle, and poor people were used to list the impacts. Then, major impacts were selected by ranking and interviewing 60 households per site, and assessed by Cost Benefit Analysis (CBA) in rice production from 1996 to 2002 between two areas. The tested research indicated moving system of NFFPL to that of FFPL lost about 11 million VND/ha/year. The second case is on impacts of Penaeid shrimp farming conducted in Duyen Hai District, Tra Vinh Province in 2004-2005. Ninety households and 12 local officials were interviewed. Four PRAs were conducted and 36 water samples were taken inside and outside shrimp pond to measure values of DO, COD, Fe total, TSS, N-$NO_3{^-}$, N-$NH_4{^+}$, P-$PO{_4}^{3-}$, and Chlorophyll-a. Research results showed only 36.7% of the households got profit from shrimp farming. Highest financial efficiency was 0.72 for the semi-intensive system. Tested water indicators showed surface water quality did not match Vietnamese standard for surface water in coastal area (TCVN 5943-1995) and in rain. The water was very muddy and contaminated by organic aluminum. Summarily, the impacts were clarified more obviously via adding socio-economic values to assessment. Importantly, the values were transformed to household's income which is an indicator for policy-makers to consider the impacts obviously. Besides, data of different group of people impacted are cases contributing to consideration of the impacts in an appropriate social level.

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
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2023년도 학술발표회
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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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댐하류하천정비사업의 댐 운영개선 효과 경제성 분석 (II) -경제적 편익 및 비용분담률 분석 (Economic Analysis of Dam Operation Improvement by Dam Downstream River Improvement Works (II)-Economic Benefit and Cost Allocation Analysis)

  • 유승훈;이광만;이을래
    • 한국수자원학회논문집
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    • 제44권9호
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    • pp.765-776
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    • 2011
  • 댐이 건설된 이후 댐직하류 하천구간은 하천구역내 사유지 경작과 하상주차장 등의 입지, 사주가 발달하여 하폭감소에 의한 문제가 발생하였다. 특히 하천정비의 미흡으로 홍수시 하천통수능력이 감소하여 유역전반에 영향을 미치고 있다. 댐 운영조건도 일부 제약을 받고 있는데 이의 해소를 통한 댐 기능의 회복과 운영의 효율성 제고가 하천의 치수 안정성 확보와 함께 개선대책이 필요하였다. 따라서 댐 운영관리개선과 연계된 댐직하류 하천정비사업이 시행되고 있는데 사업의 타당성, 경제적 편익, 비용배분 및 투자비 회수방안 등과 같은 문제점이 제기되었다. 아울러 댐사업자가 하천사업을 주관한 사례가 없어 이들 사업에 대한 경제성 평가의 객관적 해석과 편익에 대한 정량화 방법의 개발이 요구되었다. 본 연구는 댐직하류 하천정비사업의 사업주체(국가와 용수 및 발전사업자 등)간의 합리적인 건설비용 배분방법을 제시하고 그 적정성을 평가하고자 하였다. 평가결과, 시범 적용 3개 댐의 경제적 편익은 14,405.8백만원/년으로 추정되었고, 편익 중 사업시행자인 K-water의 재무적 가치는 40%, 정부의 공공성 편익은 60%로 분석되었다.

북아메리카 사막 지형에 미친 인류의 영향: 피닉스, 애리조나 지역을 사례로 (Human Impacts on Urban Landscapes in North American Desert: A Case Study in the Phoenix, Arizona, USA)

  • 정아라
    • 한국지형학회지
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    • 제26권3호
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    • pp.69-85
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    • 2019
  • Humans have been important driver to reconfigure the terrestrial surface of the Earth by altering its morphology and processes. The effect of human activities on the physical landscape, however, shows substantially uneven geographical patterns. Most of anthrogemorphoogical studies regarding human-induced denudation have focused on areas with a long history of human modifications such as humid landscapes, so the hypothesis is naturally a great human impact on landscapes. The effect of human activities on dryland Earth surfaces are far less commonly studied, although erosion is one of major concerns in arid and semi-arid region regarding land and water quality degradation. The urban metropolis of Phoenix, Arizona, USA provides an opportunity to explore the impact of the Anthropocene. The Phoenix metropolitan area rests on classic desert landforms, such as extensive pediments, alluvial fans and sand sheets. Human activities including cattle crazing, wildfire resulting from introduced grass species by human, and recent urbanization processes have impacted these classic desert landforms and altered geomorphic processes. The purpose of this paper, therefore, rests in examining Anthropocene in the geomorphology of the north-central Sonoran Desert. The objectives of this paper are: i) to understand the impact of the Anthropocene on the geomorphological processes and forms through field observations; ii) to quantify the magnitude of human impacts on landscape using a published two-decade long record of erosion dataset and natural background erosion dataset in submitted manuscript at the sprawling edge of the Phoenix metropolitan region; iii) to examine how geomorphic outcome can affect the sustainability of cities through the estimation of sediment yield under the condition of urban sprawl.