• Title/Summary/Keyword: Storm Water Management

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Study on the Runoff Characteristics of Non-point Source Pollution in Municipal Area Using SWMM Model -A Case Study in Jeonju City (SWMM모델을 이용한 도시지역 비점오염원의 유출특성 연구 -전주시를 대상으로)

  • Paik Do-Hyson;Lim Young-Hwan;Choi Jin-Kyu;Jung Paul-Gene;Kwak Dong-Heui
    • Journal of Environmental Science International
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    • v.14 no.12
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    • pp.1185-1194
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    • 2005
  • The runoff characteristics of non-point source pollutions in the municipal area of Jeonju were investigated and analyzed by using the SWMM (Storm Water Management Model). The flow rates and water qualities of runoff from two types of drainage conduits were measured respectively. One was a conventional combined sewer system and the other was a separated sewer system constructed recently From August to November in 2004, investigations on two rainfall events were performed and flow rate, pH, BOD, COD, SS, T-N and T-P were measured. These data were also used for model calibration. On the basis of the measured data and the simulation results by SWMM, it is reported that $80-90\%$ of pollution load is discharged in the early-stage storm runoff. Therefore, initial 10-30 mm of rainfall should be controlled effectively for the optimal treatment of non-point source pollution in urban area. Also, it was shown that the SWMM model was suitable for the management of non-point source pollution in the urban area and for the analysis of runoff characteristics of pollutant loads.

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.

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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Impacts of Climate Change on Water Crisis and Formation of Green Algal Blooms in Vietnam

  • Thriveni, Thenepalli;Lee, Namju;Nam, Gnu;Whan, Ahn Ji
    • Journal of Energy Engineering
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    • v.26 no.1
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    • pp.68-75
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    • 2017
  • Global warming affects water supply and water resources throughout the world. In many countries, climate change affects significantly on the fresh water resources. Vietnam is exposed mainly, to landslides and floods triggered by tropical storms and monsoon rains, although storm surge, whirlwind, river bank and coastal line erosion, hail rain. In addition to the prevalent drought, there are many major water challenges, including water availability, stress, scarcity and accessibility, because of poor resource management. Fast growth of urbanization, industrialization and population growth, agricultural activities and climate change cause heavy pressure on water quality. Both domestic and industrial wastewater, as well as storm water shares the same drainage. The common facilities for wastewater treatment are not available. Therefore, wastewater is treated only superficially and then discharged directly into rivers and lakes causing serious pollution of surface water environment. In this paper, we reported the severe water crisis and massive green algal blooms formation in Vietnam rivers and lakes. This is the biggest evidence of climate change variations in Vietnam.

On the Characteristics of Damage and States of Natural Disasters for Water Resources Control at Gimhae, Gyeongsangnam-do (김해시 수자원관리를 위한 자연재해 현황과 피해특성분석)

  • Park, Jong-Kil;Choi, Hyo-Jin;Jung, Woo-Sik;Gwon, Tae-Sun
    • 한국방재학회:학술대회논문집
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    • 2007.02a
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    • pp.94-97
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    • 2007
  • This study aims to find the characteristics of damage and states of natural disasters at Gimhae, Gyeongsangnam-do from 1985 to 2004. Using the data of Statistical yearbook of calamities issued by the National Emergency Management Agency and Annual Climatological Report issued by the Korea Meteorological Administration. we have analyzed the cause, elements, and vulnerable regions for natural disasters. Major causes of natural disaster at Gimhae are four, such as a heavy rain, heavy rain typhoon, typhoon, storm snow, and storm. The cause of disaster recorded the most amount of damage is typhoon. The areas of Hallim-myeon, Sangdong-myeon, and Saengnim-myeon are classified the vulnerable region for the natural disasters in Gimhae. Therefore, it seems necessary to build natural disaster mitigation plan each cause of disaster to control water resources and to reduce damage for these areas.

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Assessment of Water Distribution and Irrigation Efficiency in Agricultural Reservoirs using SWMM Model (SWMM 모형을 이용한 농업용 저수지 용수분배 모의 및 관개효율 평가)

  • Shin, Ji-Hyeon;Nam, Won-Ho;Bang, Na-Kyoung;Kim, Han-Joong;An, Hyun-Uk;Do, Jong-Won;Lee, Kwang-Ya
    • Journal of The Korean Society of Agricultural Engineers
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    • v.62 no.3
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    • pp.1-13
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    • 2020
  • The management of agricultural water can be divided into management of agricultural infrastructure and operation to determine the timing and quantity of water supply. The target of water management is classified as water-supply facilities, such as reservoirs, irrigation water supply, sluice gate control, and farmland. In the case of agricultural drought, there is a need for water supply capacity in reservoirs and for drought assessment in paddy fields that receive water from reservoirs. Therefore, it is necessary to analyze the water supply amount from intake capacity to irrigation canal network. The analysis of the irrigation canal network should be considered for efficient operation and planning concerning optimized irrigation and water allocation. In this study, we applied a hydraulic analysis model for agricultural irrigation networks by adding the functions of irrigation canal network analysis using the SWMM (Storm Water Management Model) module and actual irrigation water supply log data from May to August during 2015-2019 years in Sinsong reservoir. The irrigation satisfaction of ponding depth in paddy fields was analyzed through the ratio of the number of days the target ponding depth was reached for each fields. This hydraulic model can assist with accurate irrigation scheduling based on its simulation results. The results of evaluating the irrigation efficiency of water supply can be used for efficient water distribution and management during the drought events.

Application of LID to Reduce Storm Runoff according to the RCP Climate Change Scenarios (RCP 기후변화 시나리오에 따른 우수 유출량 저감을 위한 저영향개발 시설의 적용 방안)

  • Kim, Min ji;Kim, Ji Eun;Park, Kyung Woon;Kim, Tae-Woong
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.42 no.3
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    • pp.333-342
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    • 2022
  • Due to climate change, increased heavy rainfalls result in flood damage every year. To investigate the storm-runoff reduction effects of Low Impact Development (LID), this study performed runoff analyses using the U.S. Environmental Protection Agency (EPA) Storm Water Management Model (SWMM) for past and future representative storm events of the Yongdu Rainwater Pumping Station basin. As a result, the infiltration loss for representative future rainfalls increased by 3.17 %, and the surface runoff and peak runoff rate increased significantly by 32.50 %, and 128.77 %, respectively. To reduce the increased surface runoff and peak runoff rates, this study investigated the applicability of LID approaches, including a permeable pavement, green roof, and rain garden, by adjusting the LID parameters and the ratio of installation area. We identified the ranges of LID parameters that decreased peak runoff rate and surface runoff, and increased infiltration. In addition, when the application ratio of permeable pavement, green roof, and rain garden was 2:1:3, best performance was attained, leading to a reduction of peak runoff of 26.85 %, infiltration loss 12.01 %, surface runoff 15.11 %, and storage 509.47 %. Based on analyzing the effect of storm runoff reductions for various return periods, it was found that as the return period increased, the proportion of peak runoff and surface runoff increased and the proportion of infiltration loss and storage decreased.

Characteristics of Water Quality by Storm Runoffs from Intensive Highland Agriculture Area in the Upstream of Han River Basin (한강상류 고령지 농업지역에서의 강우시 비점오염 유출 특성)

  • Jung, Sungmin;Jang, Changwon;Kim, Jai-Ku;Kim, Bomchul
    • Journal of Korean Society on Water Environment
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    • v.25 no.1
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    • pp.102-111
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    • 2009
  • Turbid storm runoff from intensive highland agriculture area has emerged as the major problem of water quality deterioration in the upstream region of the Han River. High slope of the upland combined with high rate of fertilization and intensive plowing causes high rate of soil erosion, and subsequently high suspended sediment and phosphorus content in the runoff water. The variations of water quality during rain spells were surveyed for two years (2005 and 2006) in the Jawoon Stream that is one of hot spots of intensive horticulture discharging turbid storm runoff. SS and TP showed large increase according to the increase of flow rate, whereas TN and BOD showed less fluctuations. Mean EMCs of SS and TP measured for nine rain events were as high as $207mgSS{\cdot}L^{-1}$ and $0.27mgP{\cdot}L^{-1}$, respectively. The export coefficient of SS and TP per area of cultivated field were calculated as $11,912kgSS{\cdot}yr^{-1}{\cdot}km^{-2}$ and $785kgP{\cdot}yr^{-1}{\cdot}km^{-2}$, repectively, which are significantly higher than reports of other area. It can be concluded that SS and TP in the runoffs were high enough to impose major threat to aquatic habitats, and the highland agriculture should be the main target of water quality management or habitat conservation in the study area.

Flood analysis for agriculture area using SWMM model: case study on Sindae drainage basin

  • Inhyeok Song;Hyunuk An;Mikyoung Choi;Heesung Lim
    • Korean Journal of Agricultural Science
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    • v.50 no.4
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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.

Changes in Spectroscopic and Molecular Weight Characteristics of Dissolved Organic Matter in an Agriculture Reservoir during a Summer Monsoon (장마시기에 따른 농업용 저수지 내 용존 유기물 분광특성과 분자량 변화)

  • Jung, Ka-Young;Lee, Yun Kyung;Yoo, HaYoung;Nam, Gui-Sook;Hur, Jin
    • Journal of Korean Society on Water Environment
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    • v.37 no.6
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    • pp.458-468
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    • 2021
  • In this study, we investigated the variations of dissolved organic matter (DOM) in an agricultural reservoir during the monsoon period (June to October, 2020) with respect to the organic carbon concentration (DOC), molecular weight distribution, and optical properties. The monsoon period was divided into three phases - beginning storm (BS), during storm (DS), and after storm (AS). Our results showed significant differences in the concentrations and characteristics of DOM during the summer monsoon. The DOC concentrations were decreased after the monsoon, probably due to a dilution effect. In contrast, increasing trends were observed in the specific UV absorbance (SUVA), and relative abundances of humic-like fluorescence and larger-sized compounds. These observations implied that the large-sized and humic-like organic components with terrestrial origins strongly affected the reservoir DOM after the summer monsoon. Meanwhile, biopolymer size fraction, which is associated with algal activity, became more abundant after the monsoon. These results suggest that DOM with autochthonous sources became dominant as a result of the inflow of nutrients into the reservoir after the storm. Spatial changes in DOM within the reservoir were not pronounced as much as the temporal variations. All taken, it can be concluded that the summer monsoon simply led to the decrease of DOM concentrations while the sources and the quality of DOM underwent substantial changes, which may enrich refractory organic matter in the reservoir. This study reveals the importance of in-depth DOM quality monitoring before and after summer monsoon for effective water quality management in agricultural reservoirs.