• 제목/요약/키워드: Rainfall.

검색결과 6,218건 처리시간 0.032초

Review for Assessment Methodology of Disaster Prevention Performance using Scientometric Analysis (계량정보 분석을 활용한 방재성능평가 방법에 대한 고찰)

  • Dong Hyun Kim;Hyung Ju Yoo;Seung Oh Lee
    • Journal of Korean Society of Disaster and Security
    • /
    • 제15권4호
    • /
    • pp.39-46
    • /
    • 2022
  • The rainfall characteristics such as heavy rains are changing differently from the past, and uncertainties are also greatly increasing due to climate change. In addition, urban development and population concentration are aggravating flood damage. Since the causes of urban inundation are generally complex, it is very important to establish an appropriate flood prevention plan. Thus, the government in Korea is establishing standards for disaster prevention performance for each local government. Since the concept of the disaster prevention performance target was first presented in 2010, the setting standards have changed several times, but the overall technology, methodology, and procedures have been maintained. Therefore, in this study, studies and technologies related to urban disaster prevention performance were reviewed using the scientometric analysis method to review them. This analysis is a method of identifying trends in the field and deriving new knowledge and information based on data such as papers and literature. In this study, papers related to the disaster prevention performance of the Web of Science for the last 30 years from 1990 to 2021 were collected. Citespace, scientometric software, was used to identify authors, research institutes, countries, and research trends, including citation analysis. As a result of the analysis, consideration factors such as the the concept of asset evaluation were identified when making decisions related to urban disaster prevention performance. In the future, it is expected that prevention performance standards and procedures can be upgraded if the keywords are specified and the review of each technology is conducted.

Development of river discharge estimation scheme using Monte Carlo simulation and 1D numerical analysis model (Monte Carlo 모의 및 수치해석 모형을 활용한 하천 유량 추정기법의 개발)

  • Kang, Hansol;An, Hyunuk;Kim, Yeonsu;Hur, Youngteck;Noh, Joonwoo
    • Journal of Korea Water Resources Association
    • /
    • 제55권4호
    • /
    • pp.279-289
    • /
    • 2022
  • Since the frequency of heavy rainfall is increasing due to climate change, water levels in the river exceed past historical records. The rating-curve is to convert water level into flow dicscharge from the regression analysis of the water level and corresponding flow discharges. However, the rating-curve involves many uncertainties because of the limited data especially when observed water level exceed past historical water levels. In order to compensate for insufficient data and increase the accuracy of flow discharge data, this study estimates the flow discharge in the river computed mathematically using Monte Carlo simulation based on a 1D hydrodynamic numerical model. Based on the existing rating curve, a random combination of coefficients constituting the rating-curve creates a number of virtual rating curve. From the computed results of the hydrodynamic model, it is possible to estimate flow discharge which reproduces best fit to the observed water level. Based on the statistical evaluation of these samples, a method for mathematically estimating the water level and flow discharge of all cross sections is porposed. The proposed methodology is applied to the junction of Yochoen Stream in the Seomjin River. As a result, it is confirmed that the water level reproducibility was greatly improved. Also, the water level and flow discharge can be calculated mathematically when the proposed method is applied.

An Analysis Study on the Current Status and Integration Methods of the Domestic Early Warning System (국내 재난 예경보 시스템 현황 및 통합 방안에 대한 분석 연구)

  • Hwang, Woosuk;Pyo, Kyungsoo
    • Journal of Broadcast Engineering
    • /
    • 제27권1호
    • /
    • pp.80-90
    • /
    • 2022
  • Currently, the domestic early warning system is issued differently for each disaster, and is operated independently by relevant organizations from central government to local governments. Representative domestic disaster warning systems include disaster broadcasting using CBS(Cell Broadcasting Service) and DMB(Digital Multimedia Broadcasting) Automatic Emergency Alert Service, DITS(Disaster Information Transform System) transmitted and displayed on TV screens, automatic response system, automated rainfall warning system, and disaster message board. However, due to the difference in the method of issuing each emergency alert at the site of an emergency disaster, the alerts are issued at different times for each media, and the delivered content is also not integrated. If these systems are integrated, it is expected that damage to people's property and lives will be minimized by sharing and integrated management of disaster information such as voice, video, and data to comprehensively judge and make decisions about disaster situations. Therefore, in this study, we present a plan for the integration of the disaster warning system along with the analysis of the operation status of the domestic early warning system.

Analysis of public library book loan demand according to weather conditions using machine learning (머신러닝을 활용한 기상조건에 따른 공공도서관 도서대출 수요분석)

  • Oh, Min-Ki;Kim, Keun-Wook;Shin, Se-Young;Lee, Jin-Myeong;Jang, Won-Jun
    • Journal of Digital Convergence
    • /
    • 제20권3호
    • /
    • pp.41-52
    • /
    • 2022
  • Although domestic public libraries achieved quantitative growth based on the 1st and 2nd comprehensive library development plans, there were some qualitative shortcomings, and various studies have been conducted to improve them. Most of the preceding studies have limitations in that they are limited to social and economic factors and statistical analysis. Therefore, in this study, by applying the spatiotemporal concept to quantitatively calculate the decrease in public library loan demand due to rainfall and heatwave, by clustering areas with high demand for book loan due to weather changes and areas where it is not, factors inside and outside public libraries and After the combination, changes in public library loan demand according to weather changes were analyzed. As a result of the analysis, there was a difference in the decrease due to the weather for each public library, and it was found that there were some differences depending on the characteristics and spatial location of the public library. Also, when the temperature was over 35℃, the decrease in book loan demand increased significantly. As internal factors, the number of seats, the number of books, and area were derived. As external factors, the public library access ramp, cafe, reading room, floating population in their teens, and floating population of women in their 30s/40s were analyzed as important variables. The results of this analysis are judged to contribute to the establishment of policies to promote the use of public libraries in consideration of the weather in a specific season, and also suggested limitations of the study.

Validation of the rainfall-runoff ratio of the Namgang Dam flood inflow using physically-based runoff model for upstream residual basin (댐상류 잔유역의 물리기반 유출모형을 이용한 남강댐 유입홍수 유츌률 검증)

  • Lee, Jun;Hong, Sug-Hyeon;Kang, Boosik
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 한국수자원학회 2021년도 학술발표회
    • /
    • pp.308-308
    • /
    • 2021
  • 다목적댐의 홍수조절운영에 있어서 댐유입량은 직접 관측의 어려움과 오차로 인해 정확한 유량을 산정하는데 한계가 있다. 남강댐 유역의 경우 유역면적대비 과소한 저수용량으로 말미암아 급격한 홍수유입이 발생할 경우 유출률이 비정상적 수치를 보이는 경우가 종종 발생하고 있다. 본 연구에서는 물리기반의 격자형 유출모형을 댐 직상류 잔유역에 적용하여 유출률을 산정 후 남강댐 계측유입량의 타당성을 간접적으로 검증할 수 있는 방법론을 제시하고자 한다. 댐유역에서 잔유역은 직상류 수위표지점 하류의 유역을 일컬으며, 이들 수위표지점에서 홍수시의 배수영향은 최소화될 만큼 이격되어 있고, 댐체 혹은 취수탑에 부착된 수위표와는 달리 기계적 진동의 영향이 최소화되어 있다고 가정한다면, 수위계측지점의 유량을 경계조건으로 활용하여 작은 면적에 대한 정밀한 수문학적 유출모델링을 통하여 비교적 신뢰성있는 유출값을 추정할 수 있다는 장점이 있다. 남강댐 잔유역은 유역 내 산청, 신안, 창촌 수위관측소를 기준으로 상류의 유역을 제외한 부분으로 설정하였다. 본 연구에서는 210m 격자에 대하여 모든 입력자료를 가공하였으며, 입력자료 중 지형자료는 WAMIS에서 제공한 DEM, 토지피복도, 토양도를 활용하였다. 강우자료는 유역 내 위치한 25개 강우관측소의 시단위 강우자료를 활용하였고, 강우사상은 진주 기상관측소의 일우량 100mm 이상을 기준으로 총 8개의 강우사상을 선정하였다. 남강댐 유역의 유출률을 산정하기 위해 산청, 창촌, 신안 등 3개의 수위관측소의 관측유량을 경계조건으로 사용하였고, 모의된 수문곡선의 총유량과 첨두유량을 관측값과 비교하였다. 유출률을 산정하기 위한 기준시간은 강우시작부터 강우종료 후 48시간으로 설정하였다. 유출률은 강우사상별로 편차가 심한 특성을 보이고 있었으며, 전체적으로는 계측유량기준 106~39.1%의 유출률이 보정된 유량을 통해서는 85~33%의 유출률로서 계측유량이 전반적으로 과대추정 되는 경향이 있었음을 확인할 수 있었다. 이들 중 2010년 7월 강우사상은 관측 유입량 기준 95.6%의 유출률을 보여, 추정유량 58.5%대비 상당한 과대추정 경향을 보인 사례로 판단할 수 있었다. 수문학적 유입량 추정방법은 현장계측을 대체할 수 있는 기법으로는 무리가 있으나 현장계측의 신뢰도를 평가하기 위한 목적으로는 유용한 대안이 될 수 있을 것으로 기대된다.

  • PDF

Analysis of Non-point source Pollution by Rainfall Runoff Characteristics in Songya-stream of Downstream of Andong Dam (안동댐 하류 송야천 유역의 강우시 비점오염물질 유출 특성 분석)

  • Kang, Tae Seong;Yu, Na Yeong;Shin, Min Hwan;Park, Bae Kyung;Kim, Jong Gun
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 한국수자원학회 2021년도 학술발표회
    • /
    • pp.282-282
    • /
    • 2021
  • 강우시 농경지와 축산시설로부터 유출되는 비점오염물질은 하류 수계의 수질과 수생태계에 악영향을 미친다. 이에 따라 환경부에서는 비점오염원관리지역을 지정하고 다양한 비점오염 저감 대책을 시행하고 있다. 본 연구에서는 비점오염원관리지역으로 지정된 안동댐 하류 중 송야천 유역을 대상으로 강우유출수 모니터링을 수행하였으며, 모니터링 결과를 바탕으로 강우시 비점오염물질 유출 특성을 분석하였다. 모니터링 기간은 2020년 6월부터 11월까지 총 5회의 강우사상에 대하여 상·하류와 유입하천을 포함한 총 8개의 모니터링 지점을 대상으로 강우사상별 유량가중평균농도(Event Mean Concentration, EMC), 오염부하, 단위면적당 오염부하를 산정하였으며, 오염원 그룹별 비점배출부하를 산정하여 오염 기여도를 분석하였다. 강우유출수 조사결과를 이용한 EMC 농도 산정 결과 유입하천인 오산천 지점이 SS와 TOC 항목을 제외한 모든 수질항목의 EMC 농도가 가장 큰 것으로 나타났다. 단위면적당 오염부하를 산정하여 비교 분석한 결과 T-P 항목의 단위면적당 오염부하는 물한천 지점(0.69 kg/ha)과 오산천 지점(0.69 kg/ha)이 크게 나타났다. 결과와 같이 오산천 지점과 물한천 지점이 오염정도가 큰 것으로 나타났으며, 이에 따른 상류 오염원 현장 정밀조사를 수행하였다. 조사 결과 강우발생시 상류에 위치한 농경지와 축사에서 발생하는 오염원이 하천으로 유입되고 있었으며, 여러 축사에서 배출되고 있는 유입수를 채취하여 분석한 결과 T-P 농도가 평균 0.935 mg/L로 높게 나타났다. 전국오염원조사자료(국립환경과학원, 2017) 내용을 참조하여 송야천 유역의 오염원 그룹별 비점배출부하를 산정해 오염 기여도를 분석한 결과, T-P 항목의 경우 축산계와 토지계의 비점배출부하가 전체 비점배출부하의 약 63%와 37%를 차지해 비점배출부하 기여도가 큰 것으로 나타났다. 이와 같이 송야천 유역의 경우 강우시 농경지와 축산시설에서 배출되는 오염물질이 하천 수질오염에 상당한 기여를 하고 있는 것으로 보여지며, 비점오염원 발생에 대한 대책 마련이 필요할 것으로 사료된다. 본 연구 결과는 송야천 유역의 비점오염 저감 대책 수립을 위한 기초자료로 활용할 수 있을 것으로 판단된다.

  • PDF

Short-Term Precipitation Forecasting based on Deep Neural Network with Synthetic Weather Radar Data (기상레이더 강수 합성데이터를 활용한 심층신경망 기반 초단기 강수예측 기술 연구)

  • An, Sojung;Choi, Youn;Son, MyoungJae;Kim, Kwang-Ho;Jung, Sung-Hwa;Park, Young-Youn
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 한국정보통신학회 2021년도 춘계학술대회
    • /
    • pp.43-45
    • /
    • 2021
  • The short-term quantitative precipitation prediction (QPF) system is important socially and economically to prevent damage from severe weather. Recently, many studies for short-term QPF model applying the Deep Neural Network (DNN) has been conducted. These studies require the sophisticated pre-processing because the mistreatment of various and vast meteorological data sets leads to lower performance of QPF. Especially, for more accurate prediction of the non-linear trends in precipitation, the dataset needs to be carefully handled based on the physical and dynamical understands the data. Thereby, this paper proposes the following approaches: i) refining and combining major factors (weather radar, terrain, air temperature, and so on) related to precipitation development in order to construct training data for pattern analysis of precipitation; ii) producing predicted precipitation fields based on Convolutional with ConvLSTM. The proposed algorithm was evaluated by rainfall events in 2020. It is outperformed in the magnitude and strength of precipitation, and clearly predicted non-linear pattern of precipitation. The algorithm can be useful as a forecasting tool for preventing severe weather.

  • PDF

Strength Variation of Cemented Sand Due to Wetting (수침이 고결모래의 강도에 미치는 영향)

  • Park, Sung-Sik;Kim, Ki-Young;Kim, Chang-Woo;Choi, Hyun-Seok
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • 제29권6C호
    • /
    • pp.303-311
    • /
    • 2009
  • In this study, weakly cemented sand was cured at air dry condition with different periods (3, 7, 14, 21, 28 days) and its unconfined compressive strength was evaluated. As a result, the strength of specimens with low cement ratios such as 4 and 8% increases until 7 days curing but, after 7 days, their strength continuously decreases. The strength of specimens with relatively high cement ratios such as 12 and 16% increases up to 7 days curing and then stays almost constant until 21 days. After 21 days curing, their strength suddenly dropped down, which is much lower than the strength of 3 days curing specimen. A cemented sand and gravel called CSG, which is highly permeable, could be exposed to repetitive drying and wetting conditions due to rainfall or groundwater table change during curing. In this study, the weakly cemented sand is exposed to repetitive drying and wetting and then its unconfined compressive strength was evaluated. As a result, the strength of a specimen with 27 days drying condition following 1 day wetting was at maximum 35% lower than the one cured under 28 days drying. The strength degradation due to wetting decreases as a cement ratio increases. However, the strength of a specimen with repetitive drying and wetting increases as the number of wetting increases until 3 cycles. After 3 cycles of drying and wetting, the rate of strength increase decreases due to an insufficient water for hydration or stays constant. If the sufficient water supply is provided to cemented sand during curing, the target or design strength increase can be achieved. Otherwise, the strength degradation due to wetting should be considered at the design stage.

Effect of Void Formation on Strength of Cemented Material (고결 지반 내에 형성된 공극이 강도에 미치는 영향)

  • Park, Sung-Sik;Choi, Hyun-Seok;Kim, Chang-Woo
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • 제30권2C호
    • /
    • pp.109-117
    • /
    • 2010
  • Gas hydrate dissociation can generate large amounts of gas and water in gas hydrate bearing sediments, which may eventually escape from a soil skeleton and form voids within the sediments. The loss of fine particles between coarse particles or collapse of cementation due to water flow during heavy or continuous rainfall may form large voids within soil structure. In this study, the effect of void formation resulting from gas hydrate dissociation or loss of some particles within soil structure on the strength of soil is examined. Glass beads with uniform gradation were used to simulate a gas hydrate bearing or washable soil structure. Glass beads were mixed with 2% cement ratio and 7% water content and then compacted into a cylindrical sample with five equal layers. Empty capsules for medicine are used to mimic large voids, which are bigger than soil particle, and embedded into the middle of five equal layers. The number, direction, and length of capsules embedded into each layer vary. After two days curing, a series of unconfined compression tests is performed on the capsule-embedded cemented glass beads. Unconfined compressive strength of cemented glass beads with capsules depends on the volume, direction and length of capsules. The volume and cross section formed by voids are most important factors in strength. An unconfined compressive strength of a specimen with large voids decreases up to 35% of a specimen without void. The results of this study can be used to predict the strength degradation of gas hydrate bearing sediments in the long term after dissociation and loss of fine particles within soil structure.

Evaluation of Removal Efficiency of Pollutants in Constructed Wetlands for Controlling Nonpoint Sources in the Daechung Reservoir Watershed (대청호 유역 비점오염원 제어를 위한 생태습지의 오염물질 제거효율 평가)

  • Pyeol-Nim Park;Young-Cheol Cho
    • Korean Journal of Ecology and Environment
    • /
    • 제56권2호
    • /
    • pp.127-139
    • /
    • 2023
  • Daechung Reservoir has been suffering from severe cyanobacterial blooming periodically due to the water pollutants from the watershed, especially nutrients from nonpoint sources. As a countermeasure, an artificial wetland was constructed to mitigate the pollutant load from the watershed by utilizing the vegetation. We investigated the water quality of the influent and outflow of the wetland during years 2014~2020 to evaluate the performance of pollutant removal through the wetland. Major pollutants (e.g. BOD, COD, SS, T-N, and T-P) were largely reduced during the retention in the wetland while nutrients removal was more efficient than that of organic matters. Pollutant removal efficiency for different inflow concentrations was also investigated to estimate the wetland's capability as a way of managing nonpoint sources. The efficiency of water treatment was significantly higher when inflow concentrations were above 75th percentile for all pollutant, implying the wetland can be applied to the pre-treatment of high pollution load including initial rainfall runoff. Furthermore, the yearly variation of removal efficiency for seven years was analyzed to better understand long-term trends in water treatment of the wetland. The annual treatment efficiency of T-P was very high in the early stages of vegetation growth with high concentration of inflow water. However, it was confirmed that the concentration of inflow water decreased, vegetation stabilized, and the treatment efficiency gradually decreased as the soil was saturated. The findings of the study suggest that artificial wetlands can be an effective method for controlling harmful algal blooms by alleviating pollutant load from the tributaries of Daechung Reservoir.