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

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A Modification of SWMM to Simulate Infiltration Trench (침투 트렌치를 고려한 SWMM의 수정)

  • Lee, Jung-Min;Lee, Sang-Ho;Park, Jae-Hyeon;Lee, Kil-Seong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.790-794
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    • 2006
  • 도시화 면적이 증가하면 불투수 면적이 증가하고 그에 따라 도시 하천의 평상시 유출이 감소한다. 도시유역의 평상시 수량을 회복시키는 방법으로는 침투 증진시설(투수성 포장, 침투 트렌치, 침투 측구 등)의 설치, 하수의 고도처리 후 방류, 저수지에 의한 유황 개선, 지하철 용출수 활용 등이 있다. 우리나라의 경우에 일부 도시하천의 수량 감소가 심각한 상황에 이르고 있으며 이를 해결하고자 하는 노력이 최근에 나타나고 있다. 수량을 회복하려면 유량 평가를 위한 현장조사, 수량회복 계획, 재원의 반영, 수량회복 시설의 설치 및 관리의 순서로 단계별 사업이 수행되어야 한다. 계획 단계의 과업에서 필요한 사항은 여러 가지 수량 회복방법의 영향을 정량 평가하는 것이다. 이에 핵심이 되는 것은 수량 회복 요소를 포함하거나 추가한 수문순환평가 도구이다. 본 연구는 기존의 수문 모형을 수정하여 침투 트렌치 모의기능을 갖도록 하는 것과, 이를 가지고 침투 트렌치의 수량 회복 효과를 분석하는 것이다. 침투 트렌치를 모의하도록 SWMM(Storm Water Management Model) 모형을 수정하였으며, 수정된 SWMM으로 학의천 배수유역 중 특정 소유역을 대상으로 하여 시험수행을 실시하였다. 학의천 배수유역 중 9번 소유역을 대상으로 도시 연속유출모의를 수행하여 침투 트렌치의 효과를 분석하였다. 9번 소유역의 경우 산지가 거의 80 %이며, 불투수율과 현지여건, 도로상황을 고려할 때 길이 100 m 규격의 트렌치 약 $10{\sim}20$개 정도가 설치 가능한 것으로 검토되었다. 그러나 현실성을 감안하여 시범수행에서는 10개의 트렌치를 설치하여 그 효과를 분석하였다. 9번 소유역 145번 지점의 유황을 분석한 결과 저수량$(Q_{275})$$0.0177m^3/s$에서 $0.0190m^3/s$로, 갈수량$(Q_{355})$$0.0176m^3/s$에서 $0.0189m^3/s$로 약 7%가 증가하는 것으로 분석되었다. 결과로부터 침투 트렌치는 저수량 및 갈수량을 증가시키는 보조수단이 될 수 있다.

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A study for Hydrological Infiltration Properties of Permeable Pavement (투수성 포장재의 수문학적 침투 특성에 관한 연구)

  • Lee, Jung-Min;Jun, Sang-Mi;Park, Jae-Hyeon;Lee, Sang-Ho
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.1711-1715
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    • 2006
  • 최근 급격한 도시화는 홍수량 증가 및 갈수 시 하천의 건천화 등 유역의 유출특성 변화를 가져왔다. 본 연구에서는 이러한 문제를 해결하는 방안 중 하나인 투수성 포장의 유역 내 수문학적 효과를 분석하였다. 이를 위해 투수성 포장을 이용한 수리모형 실험 및 수치모형(SWMM)을 병행하여 수행하였다. 연구에 사용한 수치모형은 기존 도시유출 모형인 SWMM(Storm Water Management Model) 모형에 투수성 포장의 수문학적 효과를 고려할 수 있도록 수정된 모형이며, 수리모형 실험 결과를 토대로 수치모형의 중요 매개변수를 추정하였다. 또한 실험에 의해 관측된 지표 및 지하수 유출량과 수치모형에 의해 산출된 자료를 비교.분석하여 수정된 SWMM 모형의 유용성을 평가하였다. 강우강도가 65 mm/hr, 90 mm/hr, 95 mm/hr인 강우를 4시간씩 공급하는 경우에 대한 3가지 수리모형 실험을 수행하였다. 수리모형실험 결과 강우강도는 지표면 유출의 크기에 직접적인 영향을 미치고 있었으며 지하수 유출량은 강우강도 보다는 지하수위 조건에 더 큰 영향을 받는 것으로 분석되었다. 수리모형 실험결과 및 수치모형 모의결과를 비교 분석한 결과, 토양 함수량 및 지하수위 변동 특성은 초기에서 정상상태로 전이되는 부분과 강우 정지 후 감소되는 부분에서 수리모형 실험과 다른 양상을 보였다. 지하수위는 실험 시 발생하는 공기층의 포집이 많은 영향을 미치고 있음을 알 수 있었고, 함수량 변화에 있어서는 수치모형(SWMM)의 모의 결과가 과도하게 감소하는 특성을 보여 주고 있었다. 즉, 유출량의 특성은 비슷한 양상을 보이고 있으나 지하수위 변화 및 토양 내 함수량 변화 예측에 있어서는 그 정확도가 떨어지는 것으로 평가되었다. 그러나 본 연구결과를 통하여 투수성 포장과 지하수에 관련된 매개변수의 집적과 분석결과는 현장기술 적용 시 매개변수의 유용한 선택과 도시유역의 물 순환 건전화 대안기술 적용에 효과적인 방법론을 제시할 수 있을 것으로 사료된다.

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Hydrologically Route-based Green Infra facilities assessment Model: Focus on Bio-retention cells, Infiltration trenches, Porous Pavement System, and Vegetative Swales (수문학적 추적 기반의 GI 시설 평가 모델: 생태저류지, 침투도랑, 투수성포장, 식생수로를 대상으로)

  • Won, Jeongeun;Seo, Jiyu;Choi, Jeonghyeon;Kim, Sangdan
    • Journal of Wetlands Research
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    • v.23 no.1
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    • pp.74-84
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    • 2021
  • Active stormwater management is essential to minimize the impact of urban development and improve the hydrological cycle system. In recent years, the Low Impact Development (LID) technique for urban stormwater management is attracting attention as a reasonable alternative. The Storm Water Management Model (SWMM) is actively used in urban hydrological cycle improvement projects as it provides simulation functions for various GI (Green Infra) facilities through its LID module. However, in order to simulate GI facilities using SWMM, there are many difficulties in setting up complex watersheds and deploying GI facilities. In this study, a model that can evaluate the performance of GI facilities is proposed while implementing the core hydrological process of GI facilities. Since the proposed model operates based on hydrological routing, it can not only reflect the infiltration, storage, and evapotranspiration of GI facilities, but also quantitatively evaluate the effect of improving urban hydrological cycle by GI facilities. The applicability of the proposed model was verified by comparing the results of the proposed model with the results of SWMM. In addition, a discussion of errors occurring in the SWMM's permeable pavement system simulation is included.

Climate change effect on storm drainage networks by storm water management model

  • Hassan, Waqed Hammed;Nile, Basim Khalil;Al-Masody, Batul Abdullah
    • Environmental Engineering Research
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    • v.22 no.4
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    • pp.393-400
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    • 2017
  • One of the big problems facing municipalities is the management and control of urban flooding where urban drainage systems are under growing pressure due to increases in urbanization, population and changes in the climate. Urban flooding causes environmental and infrastructure damage, especially to roads, this damage increasing maintenance costs. The aim of the present study is to develop a decision support tool to identify the performance of storm networks to address future risks associated with climate change in the Middle East region and specifically, illegal sewer connections in the storm networks of Karbala city, Iraq. The storm water management model has been used to simulate Karbala's storm drainage network using continuous hourly rainfall intensity data from 2008 to 2016. The results indicate that the system is sufficient as designed before consideration of extra sewage due to an illegal sewer connection. Due to climate changes in recent years, rainfall intensity has increased reaching 33.54 mm/h, this change led to flooding in 47% of manholes. Illegal sewage will increase flooding in the storm system at this rainfall intensity from between 39% to 52%.

Estimation of Irrigation Return Flow on Agricultural Watershed in Madun Reservoir (마둔저수지 농업유역의 관개 회귀수량 추정)

  • Kim, Ha-Young;Nam, Won-Ho;Mun, Young-Sik;Bang, Na-Kyoung;Kim, Han-Joong
    • Journal of The Korean Society of Agricultural Engineers
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    • v.63 no.2
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    • pp.85-96
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    • 2021
  • Irrigation return flow is defined as the excess of irrigation water that is not evapotranspirated by direct surface drainage, and which returns to an aquifer. It is important to quantitatively estimate the irrigation return flow of the water cycle in an agricultural watershed. However, the previous studies on irrigation return flow rates are limitations in quantifying the return flow rate by region. Therefore, simulating irrigation return flow by accounting for various water loss rates derived from agricultural practices is necessary while the hydrologic and hydraulic modeling of cultivated canal-irrigated watersheds. In this study, the irrigation return flow rate of agricultural water, especially for the entire agricultural watershed, was estimated using the SWMM (Storm Water Management Model) module from 2010 to 2019 for the Madun reservoir located in Anseong, Gyeonggi-do. The results of SWMM simulation and water balance analysis estimated irrigation return flow rate. The estimated average annual irrigation return flow ratio during the period from 2010 to 2019 was approximately 55.3% of the annual irrigation amounts of which 35.9% was rapid return flow and 19.4% was delayed return flow. Based on these results, the hydrologic and hydraulic modeling approach can provide a valuable approach for estimating the irrigation return flow under different hydrological and water management conditions.

Estimation of irrigation return flow from paddy fields on agricultural watersheds (농업유역의 논 관개 회귀수량 추정)

  • Kim, Ha-Young;Nam, Won-Ho;Mun, Young-Sik;An, Hyun-Uk;Kim, Jonggun;Shin, Yongchul;Do, Jong-Won;Lee, Kwang-Ya
    • Journal of Korea Water Resources Association
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    • v.55 no.1
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    • pp.1-10
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    • 2022
  • Irrigation water supplied to the paddy field is consumed in the amount of evapotranspiration, underground infiltration, and natural and artificial drainage from the paddy field. Irrigation return flow is defined as the excess of irrigation water that is not consumed by evapotranspiration and crop, and which returns to an aquifer by infiltration or drainage. The research on estimating the return flow play an important part in water circulation management of agricultural watershed. However, the return flow rate calculations are needs because the result of calculating return flow is different depending on irrigation channel water loss, analysis methods, and local characteristics. In this study, the irrigation return flow rate of agricultural watershed was estimated using the monitoring and SWMM (Storm Water Management Model) modeling from 2017 to 2020 for the Heungeop reservoir located in Wonju, Gangwon-do. SWMM modeling was performed by weather data and observation data, water of supply and drainage were estimated as the result of SWMM model analysis. The applicability of the SWMM model was verified using RMSE and R-square values. The result of analysis from 2017 to 2020, the average annual quick return flow rate was 53.1%. Based on these results, the analysis of water circulation characteristics can perform, it can be provided as basic data for integrated water management.

Optimization of Operation for Stormwater Pumping Station (최적화 기법을 이용한 도시유역 빗물펌프장 최적운영기법 연구)

  • Hyun, Jung Hoon;Park, Heeseong;Chung, Gunhui
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.189-189
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    • 2020
  • 최근 도시 및 산업의 발달로 인해 투수면적 보다 불투수면적이 증가하고 있으며, 기후변화로 인하여 게릴라성 집중호우로는 도심지의 홍수피해가 많이 발생하고 있다. 이러한 홍수피해를 방어하기 위해 빗물펌프장 및 빗물저류조와 같은 구조적 대책을 수립하고 있다. 하지만 구조적 대책은 확장 및 증설하는데 많은 돈과 시간이 필요하다. 그러므로 가장 바람직한 피해 저감 대책은 구조적 대책 뿐만 아니라 비구조적 대책을 동시에 수립하는 것이다. 본 연구에서는 빗물펌프장의 최적 운영수위 산정을 위해 최적화 기법인 GA(Genetic Algorithm)을 적용하여 도시유역의 유출해석모형으로 가장 많이 쓰이는 SWMM(Storm Water Management Model)의 빗물펌프장 유역에 발생하는 각 시간별 펌프의 운영을 최적화였다. 목적함수는 펌프의 토출량 합을 최소화하였으며, 제약조건으로는 펌프의 효율을 극대화하기 위한 각 펌프가동 시간과 중단 시간의 수위를 고려하였다. 또한 대상유역의 실제 홍수가 발생한 기간의 실제 강우자료를 입력하여 분석하였다. 그 결과 펌프의 운영수위 결정에 있어 효과적인 결과를 나타낼 수 있었으며, 이를 활용하면, 펌프의 효율을 증가시키며 도시유역의 내수침수 저감 및 펌프의 운영적 관점에 있어 효과적인 운영을 하는데 도움이 되리라 판단한다.

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Analysis of Runoff Reduction with LID Adoption using the SWMM (SWMM을 이용한 춘천 거두 1지구의 LID 개념 적용으로 인한 유출 감소 특성 분석)

  • Park, Junho;Yoo, Yonggu;Park, Youngkon;Yoon, Heetaek;KIm, Jonggun;Park, Younshik;Jeon, Ji-Hong;Lim, Kyoung Jae
    • Journal of Korean Society on Water Environment
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    • v.24 no.6
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    • pp.806-816
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    • 2008
  • In recent years, increases in impervious areas with rapid urbanization and land use changes are causing numerous hydrologic and environmental problems. In this study Low Impact Development (LID) was applied to investigate changes in runoff and peak runoff with LID plans. SWMM 5.0 was used to simulate LID Integrated Management Practices (IMPs) at study area. The SWMM estimated total runoff volume with conventional land use planning is (82.3%, 46.44 mm), (99%, 73.16 mm) greater than total runoff before urbanization, while total runoff with LID is (11.1%, 46.44 mm), (49%, 73.16 mm) greater than those before urbanization. With the LID adoption in land use planning, pervious area increases by 49.8% compared with that from the conventional urban land use planning, resulting in (32.7%, 46.44 mm), (23.6%, 73.16 mm) decrease in total runoff, and (32.6%, 46.44 mm), (18.5%, 73.16 mm) decreases in peak rate runoff. The results obtained from this study indicate that peak rate runoff, time to peak, and total runoff can be reduced with the LID in urban land use planning because the LID secures pervious areas with various LID IMPs. The SWMM simulated result using design storm data and the US EPA suggested CN values for various LID IMPs implies that how environment-friendly urban land use planning with the LID adoption is important for sustainable development at urbanizing watershed.

A Development of Intelligent Pumping Station Operation System Using Deep Reinforcement Learning (심층 강화학습을 이용한 지능형 빗물펌프장 운영 시스템 개발)

  • Kang, Seung-Ho;Park, Jung-Hyun;Joo, Jin-Gul
    • Convergence Security Journal
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    • v.20 no.1
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    • pp.33-40
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    • 2020
  • The rainwater pumping station located near a river prevents river overflow and flood damages by operating several pumps according to the appropriate rules against the reservoir. At the present time, almost all of rainwater pumping stations employ pumping policies based on the simple rules depending only on the water level of reservoir. The ongoing climate change caused by global warming makes it increasingly difficult to predict the amount of rainfall. Therefore, it is difficult to cope with changes in the water level of reservoirs through the simple pumping policy. In this paper, we propose a pump operating method based on deep reinforcement learning which has the ability to select the appropriate number of operating pumps to keep the reservoir to the proper water level using the information of the amount of rainfall, the water volume and current water level of the reservoir. In order to evaluate the performance of the proposed method, the simulations are performed using Storm Water Management Model(SWMM), a dynamic rainfall-runoff-routing simulation model, and the performance of the method is compared with that of a pumping policy being in use in the field.

Development of Integrated Management System of Stormwater Retention and Treatment in Waterside Land for Urban Stream Environment (도시 하천 환경 관리를 위한 제외지 초기 강우 처리 및 저류 시설 종합 관리 시스템 개발)

  • Yin, Zhenhao;Koo, Youngmin;Lee, Eunhyoung;Seo, Dongil
    • Journal of Korean Society of Environmental Engineers
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    • v.37 no.2
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    • pp.126-135
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    • 2015
  • Increase of delivery effect of pollutant loads and surface runoff due to urbanization of catchment area results in serious environmental problems in receiving urban streams. This study aims to develop integrated stormwater management system to assist efficient urban stream flow and water quality control using information from the Storm Water Management Model (SWMM), real time water level and quality monitoring system and remote or automatic treatment facility control system. Based on field observations in the study site, most of the pollutant loads are flushed within 4 hours of the rainfall event. SWMM simulation results indicates that the treatment system can store up to 6 mm of cumulative rainfall in the study catchment area, and this means any type of normal rainfall situation can be treated using the system. Relationship between rainfall amount and fill time were developed for various rainfall duration for operation of stormwater treatment system in this study. This study can further provide inputs of river water quality model and thus can effectively assist integrated water resources management in urban catchment and streams.