• 농업과학연구
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• 제50권4호
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• pp.799-808
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• 2023

Globally, abnormal climate phenomena have led to an increase in rainfall intensity, consequently causing a rise in flooding-related damages. Agricultural areas, in particular, experience significant annual losses every year due to a lack of research on flooding in these regions. This study presents a comprehensive analysis of the flood event that occurred on July 16, 2017, in the agricultural area situated in Sindaedong, Heungdeok-gu, Cheongju-si. To achieve this, the EPA (United States Environmental Protection Agency) Storm Water Management Model (SWMM) was employed to generate runoff data by rainfall information. The produced runoff data facilitated the identification of flood occurrence points, and the analysis results exhibited a strong correlation with inundation trace maps provided by the Ministry of the Interior and Safety (MOIS). The detailed output of the SWMM model enabled the extraction of time-specific runoff information at each inundation point, allowing for a detailed understanding of the inundation status in the agricultural area over different time frames. This research underscores the significance of utilizing the SWMM model to simulate inundation in agricultural areas, thereby validating the efficacy of flood alerts and risk management plans. In particular, the integration of rainfall data and the SWMM model in flood prediction methodologies is expected to enhance the formulation of preventative measures and response strategies against flood damages in agricultural areas.

• 대한공간정보학회지
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• 제25권2호
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• pp.49-56
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• 2017

본 연구에서는 이상기후 및 기후변화에 따른 태풍, 집중호우 등으로 발생할 수 있는 피해들을 대비하고 상황에 맞는 대응을 위한 침수분석을 하였다. 연구대상지역은 낙동강의 지류인 남강유역에 대하여 국 내외 홍수위험지도 작성에 널리 이용되고 있는 FLUMEN 모형을 적용한 하도 및 제내지의 2차원 침수해석을 실시하였다. ArcView에 의해 지형을 $5m{\times}5m$의 수치표고모형을 생성하여 하천의 수리 수문특성 분석 및 침수지역 식별의 정확성을 최대한 확보할 수 있도록 하였다. 침수 모의 결과 1구역에 163.3 ha, 2구역에 227.7ha 그리고 3구역은 59.9 ha의 침수가 발생한 것으로 모의되었다.

• 한국안전학회지
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• 제24권5호
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• pp.63-68
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• 2009

The urgent VAI method development is required since "The Act of Physical Protection and Radiological Emergency that is established in 2003" requires an evaluation of physical threats in nuclear facilities and an establishment of physical protection in Korea. The VAI methodology is developed to (1) make a sabotage model by reusing existing fire/flooding/pipe break PSA models, (2) calculate MCSs and TEPSs, (3) select the most cost-effective TEPS among many TEPSs, (4) determine the compartments in a selected TEPS as vital areas, and (5) provide protection measures to the vital areas. The developed VAI methodology contains four steps, (1) collecting the internal level 1 PSA model and information, (2) developing the fire/flood/pipe rupture model based on level 1 PSA model, (3) integrating the fire/flood/pipe rupture model into the sabotage model by JSTAR, and (4) calculating MCSs and TEPS. The VAT process is performed through the VIPEX that was developed in KAERI. This methodology serves as a guide to develop a sabotage model by using existing internal and external PSA models. When this methodology is used to identify the vital areas, it provides the most cost-effective method to save the VAI and physical protection costs.

• 농촌계획
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• 제19권3호
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• pp.51-59
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• 2013

The objective of this study was to make a map of farmland vulnerability to flood inundation based on morphologic characteristics from the flood-damaged areas. Vulnerability mapping based on the records of flood damages has been conducted in four successive steps; data preparation and preprocessing, identification of morphologic criteria, calculation of inundation vulnerability index using a fuzzy membership function, and evaluation of inundation vulnerability. At the first step, three primary digital data at 30-m resolution were produced as follows: digital elevation model, hill slopes map, and distance from water body map. Secondly zonal statistics were conducted from such three raster data to identify geomorphic features in common. Thirdly inundation vulnerability index was defined as the value of 0 to 1 by applying a fuzzy linear membership function to the accumulation of raster data reclassified as 1 for cells satisfying each geomorphic condition. Lastly inundation vulnerability was suggested to be divided into five stages by 0.25 interval i.e. extremely vulnerable, highly vulnerable, normally vulnerable, less vulnerable, and resilient. For a case study of the Jinju, farmlands of $138.6km^2$, about 18% of the whole area of Jinju, were classified as vulnerable to inundation, and about $6.6km^2$ of farmlands with elevation of below 19 m at sea water level, slope of below 3.5 degrees, and within 115 m distance from water body were exposed to extremely vulnerable to inundation. Comparatively Geumsan-myeon and Sabong-myeon were revealed as the most vulnerable to farmland inundation in the Jinju.

• 대한토목학회논문집
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• 제38권3호
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• pp.395-406
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• 2018

도시유역의 침수해석에 널리 사용되는 XP-SWMM 모형은 맨홀을 하나의 절점(node)으로 간주하여 과부하 맨홀에서 발생하는 국부 손실의 영향을 고려하지 못하기 때문에 침수 면적(범위)을 과소 산정한다. 그러므로 XP-SWMM을 이용한 침수해석 시 과부하 맨홀에서의 국부손실을 고려한 손실계수의 적용성 분석이 필요한 실정이다. 본 연구에서는 내수 침수피해가 빈번히 발생하는 도림천 유역의 도림1 배수분구를 활용하여 맨홀 형태 및 손실계수 적용 유무에 따른 침수면적의 변화를 비교 분석하였다. 침수모의 결과, 손실계수를 고려한 경우가 고려하지 않은 경우보다 실제 침수면적과의 일치율이 약 17% 증가하였다. 또한 중간맨홀 및 합류맨홀($90^{\circ}$접합, 3방향 및 4방향 접합 맨홀)에 따른 각각의 손실계수를 적용하여 침수 해석한 결과 중간맨홀의 손실계수만을 적용한 것과 유사한 결과가 도출되었다. 그러므로 도시지역의 침수지역을 정확하게 모의하기 위해서는 과부하 맨홀에서의 손실계수를 고려한 2차원 침수해석을 수행하여야 할 것으로 판단된다. 본 연구의 연구결과는 도시지역의 침수 위험지역을 파악하기 위한 기초적인 자료로 활용이 가능할 것으로 판단된다.