• Title/Summary/Keyword: SWMM(Storm Water Management Model)

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Eco-Hydrologic Assessment of Maintenance Water Supply on Oncheon Stream (온천천 유지용수 공급에 따른 생태수문환경 변화분석)

  • Jang, Ju-Hyoung;Kim, Sang-Dan;Sung, Ki-June;Shin, Hyun-Suk
    • Journal of Environmental Science International
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    • v.16 no.8
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    • pp.973-983
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    • 2007
  • The eco-hydrologic effects of maintenance water supply on Oncheon stream are studied using hydrologic, hydraulic and ecologic models. SWMM (Storm Water Management Model) is used for long-term simulation of runoff quantity and water quality from Oncheon stream watershed. Using the output hydrologic variables from SWMM, HEC-RAS (River Analysis System) is then used to simulate the hydraulics of water flow through Oncheon stream channels. Such hydrologic, hydraulic and water quality output variables from SWMM and HEC-RAS are served as input data to execute PHABSIM (Physical Habitat Simulation) for the purpose of predicting the micro-habitat conditions in rivers as a function of stream flow and the relative suitability of those conditions to aquatic life. It is observed from the PHABSIM results that the weighted usable area for target fishes has the maximum value at $2m^3/s$ of instream flow. However, mid and down stream areas that have concrete river bed and covered region are unsuitable for fish habitat regardless of instream flow increment. The simulation results indicate that the simple maintenance water supply is limited in its effect to improve the ecological environment in Oncheon stream. Therefore, it is imperative to improve water quality and to recover habitat conditions simultaneously.

An Optimal Sewer Layout Model to Reduce Urban Inundation (도시침수 저감을 위한 최적 우수관망 설계 모형)

  • Lee, Jung-Ho;Kim, Joong-Hoon;Jun, Hwan-Don
    • Journal of Korea Water Resources Association
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    • v.44 no.10
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    • pp.777-786
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    • 2011
  • In the previous researches for storm sewer design, the flow path, pipe diameter and pipe slope were determined to minimize the construction cost. But in the sewer networks, the flows can be changed according to flow path. The current optimal sewer layout models have been focussed on satisfying the design inflow for sewer designs, whereas the models did not consider the occurrences of urban inundation from excessive rainfall events. However, in this research, the sewer networks are determined considering the superposition effect to reduce the inundation risk by controlling and distributing the inflows in sewer pipes. Then, urban inundation can be reduced for excessive rainfall events. An Optimal Sewer Layout Model (OSLM) was developed to control and distribute the inflows in sewer networks and reduce urban inundation. The OSLM uses GA (Genetic Algorithm) to solve the optimal problem for sewer network design and SWMM (Storm Water Management Model) to hydraulic analysis. This model was applied to Hagye basin with 44 ha. As the applied results, in the optimal sewer network, the peak outflow at outlet was reduced to 7.1% for the design rainfall event with 30 minutes rainfall duration versus that of current sewer network, and the inundation occurrence was reduced to 24.2% for the rainfall event with 20 years frequency and 1 hour duration.

A Study on the Spatio-temporal Water Cycle Characteristics of the Gwan-ak Basin (관악산 유역의 시공간적 물순환 특성에 관한 연구)

  • Kim, Hyeonju;Kim, Yeonju;Kim, Gi Joo;Kim, Young-Oh
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.195-195
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    • 2022
  • 도림천의 최상류인 관악산 유역에 서울대학교 관악캠퍼스가 건설되었다. 이로 인해 물순환은 기존의 자연 상태에서 점점 변해 왔는데, 이는 하류 도림천의 홍수 및 수질 오염의 피해를 증가시켰다. 도시화된 서울대학교 관악캠퍼스의 물순환 회복은 하류 홍수피해 방지와 지속 가능한 친환경 캠퍼스를 위해 중요하나, 이에 관한 연구는 미흡한 실정이다. 따라서 본 연구에서는 SWMM(Storm Wastewater Management Model)을 활용하여 캠퍼스 내 물순환 현황을 시간과 공간에 대해 정량적으로 파악하고, 물순환 회복을 위해 지속 가능한 효율적인 시스템을 구현하고자 한다. 먼저 유역 현황 조사와 함께 SWMM 구축에 필요한 수문·기상학적 변수와 물리적 매개변수를 확립하였다. 수문·기상학적 변수로는 기상관측장비 ATMOS-41의 설치와 기상청 자료로부터 수집하였으며, 물리적 매개변수는 환경부의 자료를 활용하였다. 그 후, 서울대-도림천 배수분구에 대해 SWMM을 적용하여 월별로 유출량, 침투량, 그리고 증발산량을 모의하였다. 시간에 따른 물순환 분석의 경우 강수량 자료와 불투수율의 변화 정도에 따라 월별 물수지 비율을 파악하고, 공간에 따른 물순환 분석의 경우 동일한 기간에 대해 분할한 16개의 소유역 별 유출량과 유역의 평균 유출량을 비교하여 분석하였다. 대상 유역의 월별 물수지 비율을 모의하는데 효율성을 높이고자 배수 구역 및 관망을 세밀하게 나눈 경우와 그렇지 않은 경우에 대해 분석하였다. 그 결과, 시간에 따른 연평균 물수지 비율의 차이는 2020년 모의 결과와 최근 5년 평균(2015~2019년) 모의 결과 비교 시 각 물수지 항목별로 0.47~2.34%의 차이를 보였다. 공간적으로는 16개 소유역 중 저류시설을 포함한 9개 소유역의 표면 유출량이 유역의 평균 유출량보다 많게 모의 되었다. 또한, 유역을 구성할 때보다 관망을 구성할 때 높은 정확성이 요구됨을 알 수 있었다. 본 연구는 ATMOS-41을 통한 지속적인 수문·기상학적 요소의 모니터링과 SWMM 모델 구축을 통해 앞으로도 변경사항을 추가함으로써 친환경 캠퍼스로의 전환에 이바지할 것으로 기대한다.

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Research of Runoff Management in Urban Area using Genetic Algorithm (유전자알고리즘을 이용한 도시화 유역에서의 유출 관리 방안 연구)

  • Lee, Beum-Hee
    • Journal of the Korean Geophysical Society
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    • v.9 no.4
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    • pp.321-331
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    • 2006
  • Recently, runoff characteristics of urban area are changing because of the increase of impervious area by rapidly increasing of population and industrialization, urbanization. It needs to extract the accurate topologic and hydrologic parameters of watershed in order to manage water resource efficiently. Thus, this study developed more precise input data and more improved parameter estimating procedures using GIS(Geographic Information System) and GA(Genetic Algorithm). For these purposes, XP-SWMM (EXPert-Storm Water Management Model) was used to simulate the urban runoff. The model was applied to An-Yang stream basin that is a typical Korean urban stream basin with several tributaries. The rules for parameter estimation were composed and applied based on quantity parameters that are investigated through the sensitivity analysis. GA algorithm is composed of these rules and facts. The conditions of urban flows are simulated using the rainfall-runoff data of the study area. The data of area, slope, width of each subcatchment and length, slope of each stream reach were acquired from topographic maps, and imperviousness rate, land use types, infiltration capacities of each subcatchment from land use maps, soil maps using GIS. Also we gave the management scheme of urbanization runoff using XP-SWMM. The parameters are estimated by GA from sensitivity analysis which is performed to analyze the runoff parameters.

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Application of Inference Models for Estimating Parameters of a Catchment Modelling System (추론모델을 통한 강우-유출모형 매개변수의 간접추정법 적용)

  • Choi, Kyung-Sook
    • Journal of Korea Water Resources Association
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    • v.36 no.4
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    • pp.587-596
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    • 2003
  • Application of a catchment modelling system requires recorded information to ascertain the reliability and robustness of the predicted flow conditions. Where this recorded information is not available, the necessary information for reliable and robust predictions must be obtained from other available information sources. The alternative approach presented in this paper used inference models for getting this necessary information that is required to calibrate and validate the catchment modelling system for both an ungauged and a gauged catchments. In this study, inference models were developed for determination of control parameters of the Storm Water Management Model (SWMM), mainly based on landuse component of the catchment, which is a major factor to impact on quantity and quality of catchment runoff. Results from the study show that the new approach for determination of the spatially variable control parameters produced more accurate estimates than a traditional approach. Also, the number of control parameters estimated can be reduced significantly as the proposed method only requires determination of control parameters associated with each land use of the catchment while a traditional approach needs to assign a number of control parameters for a number of subcatchment.

Prioritizing the target watersheds for permeable pavement to reduce flood damage in urban watersheds considering future climate scenarios (미래 기후 시나리오를 고려한 도시 유역 홍수 피해 저감을 위한 투수성 포장 시설 대상 유역 우선순위 선정)

  • Chae, Seung Taek;Song, Young Hoon;Lee, Joowon;Chung, Eun-Sung
    • Journal of Korea Water Resources Association
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    • v.55 no.2
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    • pp.159-170
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    • 2022
  • As the severity of water-related disasters increases in urban watersheds due to climate change, reducing flood damage in urban watersheds is one of the important issues. This study focuses on prioritizing the optimal site for permeable pavement to maximize the efficiency of reducing flood damage in urban watersheds in the future climate environment using multi-criteria decision making techniques. The Mokgamcheon watershed which is considerably urbanized than in the past was selected for the study area and its 27 sub-watersheds were considered as candidate sites. Six General Circulation Model (GCM) of Coupled Model Intercomparison Project 6(CMIP6) according to two Shared Socioeconomic Pathway (SSP) scenarios were used to estimate future monthly precipitation for the study area. The Driving force-Pressure-State-Impact-Response (DPSIR) framework was used to select the water quantity evaluation criteria for prioritizing permeable pavement, and the study area was modeled using ArcGIS and Storm Water Management Model (SWMM). For the values corresponding to the evaluation criteria based on the DPSIR framework, data from national statistics and long-term runoff simulation value of SWMM according to future monthly precipitation were used. Finally, the priority for permeable pavement was determined using the Fuzzy TOPSIS and Minimax regret method. The high priorities were concentrated in the downstream sub-watersheds where urbanization was more progressed and densely populated than the upstream watersheds.

Low Impact Urban Development For Climate Change and Natural Disaster Prevention

  • Lee, Jung-Min;Jin, Kyu-Nam;Sim, Young-Jong;Kim, Hyo-Jin
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.54-55
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    • 2015
  • Increase of impervious areas due to expansion of housing area, commercial and business building of urban is resulting in property change of stormwater runoff. Also, rapid urbanization and heavy rain due to climate change lead to urban flood and debris flow damage. In 2010 and 2011, Seoul had experienced shocking flooding damages by heavy rain. All these have led to increased interest in applying LID and decentralized rainwater management as a means of urban hydrologic cycle restoration and Natural Disaster Prevention such as flooding and so on. Urban development is a cause of expansion of impervious area. It reduces infiltration of rain water and may increase runoff volume from storms. Low Impact Development (LID) methods is to mimic the predevelopment site hydrology by using site design techniques that store, infiltrate, evaporate, detain runoff, and reduction flooding. Use of these techniques helps to reduce off-site runoff and ensure adequate groundwater recharge. The contents of this paper include a hydrologic analysis on a site and an evaluation of flooding reduction effect of LID practice facilities planned on the site. The region of this Case study is LID Rainwater Management Demonstration District in A-new town and P-new town, Korea. LID Practice facilities were designed on the area of rainwater management demonstration district in new town. We performed analysis of reduction effect about flood discharge. SWMM5 has been developed as a model to analyze the hydrologic impacts of LID facilities. For this study, we used weather data for around 38 years from January 1973 to August 2014 collected from the new town City Observatory near the district. Using the weather data, we performed continuous simulation of urban runoff in order to analyze impacts on the Stream from the development of the district and the installation of LID facilities. This is a new approach to stormwater management system which is different from existing end-of-pipe type management system. We suggest that LID should be discussed as a efficient method of urban disasters and climate change control in future land use, sewer and stormwater management planning.

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An Analysis of the Runoff Variation due to Urbanization in Cho-kyung Stream Watershed (조경천 유역의 도시화에 따른 유출 변화 추이 분석)

  • Choi, Jung-Hwa;Lee, Jeong-Ju;Kwon, Hyun-Han
    • Journal of Wetlands Research
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    • v.11 no.3
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    • pp.161-169
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    • 2009
  • Rainfall-runoff procedures of urban area are more complicated than agricultural procedures. Extension and development of town leads to shift of the basin characteristics and it makes more difficult to use runoff models. In this study, the changes of hydrologic circumstances and the shape of hydrograph due to the urbanization in Cho-kyung river basin has been assessed which is the representative urban stream in Jeonju city. The urbanization can be classified as four typical year. The natural basin period(1924) that is before the urban development, the period of construction of Chonbuk National University campus (1963), the period of construction of residential area(1986), and urbanization process has been finally completed in 1995. The rainfall-runoff analysis has been carried out by Storm Water Management Model(SWMM) under condition of the basin characteristics and impervious area of each period. It was found that hydrologic characteristics such as river length, roughness coefficient, and coefficient of surface storage has been decreased. According to the land use change, the pervious area was decreased from 97.7% to 42%, while the impervious area was increased from 0.6% to 34%. The time of concentration was shorten from 90 minutes to 37 minutes. Along with decreasing the time of concentration, the peak discharge was increased from $4.37m^3/s$ to $111.13m^3/s$, and the runoff rate was also increased from 0.8% to 68%.

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Flood Predicion of Dorimcheon Stream basin using LSTM (LSTM 기법을 이용한 도림천 유역의 침수 예측)

  • Se Dong Jang;Byunghyun Kim
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.513-513
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    • 2023
  • 최근 이상기후의 영향으로 국지성 및 집중호우로 인한 침수 피해가 증가하고 있다. 도시유역의 홍수는 사회적·경제적으로 큰 손실을 야기할 수 있어 실제 호우에 대한 침수 양상을 신속하게 예측하는것은 매우 중요하다. 이로 인해 침수 해석에 대한 결과를 빨리 제공할 수 있는 기계학습을 기반으로 한 도시 홍수 분석에 대한 연구가 증가하고 있다. 본 연구에서 적용한 LSTM(Long Short-Term Memory) 신경망은 기존 RNN(Recurrent neural network)이 가지고 있는 장기 의존성 문제를 해결하기 위해 고안된 모델으로 시계열 데이터에 대한 예측능력이 뛰어나다는 장점을 가지고있다. LSTM 신경망은 강우에 대한 격자별 침수심을 예측하기 위해 사용되었으며, 입력자료로 2000~2022년도에 걸친 도림천 유역의 침수피해를 야기한 지속시간 6시간 AWS(Automatic Weather System) 관측 강우 자료를 사용하였고 목표값으로 수집된 도림천 유역의 강우자료를 이용하여 SWMM(Storm Water Management Model)의 유출 결과를 바탕으로 수행된 2차원 침수해석 모의 결과를 사용하였다. 연구유역의 SWMM 배수 관망 입력자료의 정확성을 높이기 위해 서울시 하수관로 수위 현황 자료를 활용하여 매개변수 조정을 실시하였으며, 하수관로의 실측 수위와 모의 수위를 일치시켰다. LSTM 신경망을 이용하여 격자별로 예측된 침수심 데이터를 시각화하여 침수흔적도와 비교하였다.

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A Study on the Stormwater Drainage Method of Overflow Type for the Prevention of Urban Flood due to Abnormal Precipitation (이상강우 발생시 도시침수 방지를 위한 월류형 우수배수방법 연구)

  • Seo, Se Deok;Park, Hyung Keun;Kim, Tae Hyun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.39 no.5
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    • pp.569-577
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    • 2019
  • Urban flooding has been a frequent phenomenon in recent years caused by the increase in maximum stormwater runoff arising from abnormal rainfall due to global warming, urban development, and development of lowlands according to population inflows. In order to respond positively against abnormal precipition in the city, it is necessary to check the GWI (Green Water Infra) effect and effectively utilize the existing stormwater detention tanks and treat stormwater to prevent local flooding. In this study, Overflow Type stormwater drainage methods are evaluated as a method of preventing urban flooding in abnormal precipitation using the Dynamic Wave Analysis SWMM (Storm Water Management Model) provided by the United States Environmental Protection Agency. Comparing and analyzing the Upward Watergate Type and Overflow Type, it was analyzed that the Overflow Type reduces the maximum flood discharge by 61 % and the total flood volume by 56 % in the rainfall of Typhoon Kong-rey. The application of the Overflow Type and the natural-pneumatic drainage method to the rainfall of Typhoon Soulik resulted in a 20 % reduction in maximum flood runoff and a 67 % reduction in total flood quantity. Therefore, as a solution to the abnormal rain fall, it is possible to improve the existing stormwater detection tank and install additional facilities. It is expected to be economically possible to strom drainage under limited conditions.