• Journal of Wetlands Research
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• v.9 no.3
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• pp.35-42
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• 2007

The paved areas such as parking lots and roads are stormwater intensive landuses since they are impervious and have high pollutant mass emissions from vehicular activity. Vehicle emissions include different pollutants such as heavy metals, oil and grease, particulates from sources such as fuels, brake pad wear and tire wear. Especially, the released heavy metals can be easily absorbed on the surface area of small particulate materials because of its ionic strength. Therefore, by constructing the sedimental tank in structural BMPs as a pre-treatment facility, the particles and heavy metals both can be removed from the runoff at an instant. To understand the physico-chemical characteristics of sediments from sedimentation tank, one-year study at an infiltration trench and filtration system was conducted to quantify the metal mass absorbed on sediments with various particle sizes. The structural BMPs for this study are located in Yongin City, Kyunggido. The research results show that Cu, Zn and Pb are dominant metal compounds in the sediments. Also the metal concentrations are highest at the ranges of $425-850{\mu}m$ particle sizes. The results will provide the basic physico-chemical information of sediments to treat it as solid wastes and to determine the design criteria of sedimentation tank in structural BMPs.

• Journal of Korea Water Resources Association
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• v.53 no.8
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• pp.583-595
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• 2020

In this study, using the RCP scenario for Hyoja Drainage subbasin of Cheonggyecheon, we analyzed the change with the Historical and Future rainfall calculated from five GCMs models. As a result of analyzing the average rainfall by each GCMs model, the future rainfall increased by 35.30 to 208.65 mm from the historical rainfall. Future rainfall increased 1.73~16.84% than historical rainfall. In addition, the applicability of LID element technologies such as porous pavement, infiltration trench and green roof was analyzed using the SWMM model. And the applied weight and runoff for each LID element technology are analyzed. As a result of the analysis, although there was a difference for each GCMs model, the runoff increased by 2.58 to 28.78%. However, when single porous pavement and Infiltration trench were applied, Future rainfall decreased by 3.48% and 2.74%, 8.04% and 7.16% in INM-CM4 and MRI-CGCM3 models, respectively. Also, when the two types of LID element technologies were combined, the rainfall decreased by 2.74% and 2.89%, 7.16% and 7.31%, respectively. This is less than or similar to the historical rainfall runoff. As a result of applying the LID elemental technology, it was found that applying a green roof area of about 1/3 of the urban area is the most effective to secure the lag time of runoff. Moreover, when applying the LID method to the old downtown area, it is desirable to consider the priority order in the order of economic cost, maintenance, and cityscape.

• Journal of Wetlands Research
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• v.21 no.2
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• pp.181-190
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• 2019

Recently, Low impact development techniques, a form of nature-based solutions (NBS), were seen cost-efficient alternatives that can be utilized as alternatives for conventional stormwater management practices. This study evaluated the effectiveness of an infiltration trench (IT) and a small constructed wetland (SCW) in treating urban stormwater runoff. Long-term monitoring data were observed to assess the seasonal performance and cite the advantages and disadvantages of utilizing the facilities. Analyses revealed that the IT has reduced performance during the summer season due to higher runoff volumes that exceeded the facility's storage volume capacity and caused the facility to overflow. On the other hand, the pollutant removal efficiency of the SCW was impacted by the winter season as a result of dormant biological activities. Sediment data also indicated that fine and medium sand particles mostly constituted the trapped sediments in the pretreatment and media zones. Sediments in SCW exhibited a lower COD and TN load due to the phytoremediation and microbiological degradation capabilities of the system. This study presented brief comparison LID facilities equipped with pre-treatment zones. The identified factors that can potentially affect the performance of the systems were also beneficial in establishing metrics on the utilization of similar types of nature-based stormwater management practices.

• Journal of Environmental Impact Assessment
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• v.18 no.2
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• pp.59-67
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• 2009

Water quality of the Lake Youngrang in the Sokcho City is eutrophic. Jangcheon is the largest inflow source to the lake. Major pollutant sources are stormwater runoff from resort areas and various land uses in the Jangcheon watershed. A storm sewer on the southern end of the lake is also an important pollution source. In this study, water quality modelling for Lake Youngrang was carried out considering the rainfall-runoff pollution loads from the watershed. The rainfall-runoff curves and the rainfall-runoff pollutant load curves were derived from the rainfall-runoff survey data during the recent 4 years. The rainfall-runoff pollution loads and flow from the Jangcheon watershed and the storm sewer were estimated using the two kinds of curves, and they were used as the flow and the boundary data of the WASP model. With the measured water quality data of the year 2005 and 2006, WASP model was calibrated. Non-point pollution control measures such as wet pond and infiltration trench were considered as the alternative for water quality management of the lake. The predicted water quality were compared with those under the present condition, and the improvement effect of the lake water quality were analyzed.

• Journal of Korean Society on Water Environment
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• v.24 no.2
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• pp.180-184
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• 2008

A distributed hydrologic model of an urban drainage area on Bugok drainage area in Oncheon stream was developed and combined with a optimization method to determine the optimal location and number of best management practices (BMPs) for storm water runoff reduction. This model is based on the SCS-CN method and integrated with a distributed hydrologic network model of the drainage area using system of 4,211 hydrologic response units (HRUs). Optimal location is found by locating HRU combination that leads to a maximum reduction in peak flow at the drainage outlet in this model. The results of this study indicate the optimal locations and numbers of BMPs, however, for more exact application of this model, project cost and SCS-CN reduction rate of structural facilities such infiltration trench and pervious pavement will have to be considered.

• Journal of Korean Society of Rural Planning
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• v.21 no.4
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• pp.45-53
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• 2015

Agriculture, rural landscapes are accompanied by a variety of environmental issues. Therefore, it is necessary to study on biodiversity and ecosystem services. Horticulture complex is low groundwater recharge function, it can be evaluated as a facility that biodiversity is impaired. The ecosystem services in agricultural landscapes were obtained 19 kinds of functions. Experts survey Groundwater recharge function (4.13) teeth chapter higher, Water storage (4.05), Amphibian & Reptile habitat (3.96), Aquatic insect habitat (3.92), Flood control (3.87), Water purification (3.86), Avian habitat (3.76 ), Creating landscape (3.74), Vegetation diversity (3.71), Experience, Education (3.69), Biological control (3.48), Fishery habitat (3.42), Climate regulation (3.30), Mammal habitat (3.30), Air quality regulation (3.25 ), Mainenance of genetic diversity (3.25), were analyzed in order Rest area (3.14). Improving capabilities in the Detention Pond, Wetland, Green space, Corridor, Non-Chemical, Program development, Green spaces, Rainwater storage facilities, Water cycle system, Surface water storage facilities, Infiltration trench, Water purification facilities, Permeable pavement. Environmentally friendly, and to contribute to sustainable agricultural development through ecological planning.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.58-58
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• 2018

지난 10년 동안, 저영향개발(LID)에 대한 관심이 증가해 왔다. LID는 도시 하천의 지속 가능성을 높이고 도시 홍수와 가뭄 및 비점오염에 대한 환경적 영향을 감소시켰다. 불투수지역이 확산됨에 따라 LID는 도시 지역의 홍수를 방지하고 수문학적 기능을 강화하기 위한 전략 중 하나로 제안되고 있다 최근 계속적인 도시화와 개발로 인해 불투수층이 증가함에 따라, 도시비점오염물질이 동반된 표면유출수가 증가하고 있다. LID는 도시 환경에서 많은 이점을 지니고 있지만 LID 구조물의 운영 및 관리와 설치에는 높은 비용이 필요하다. 반면에 수학적 모델은 적은 비용으로 LID의 수문학적 과정을 분석하고 예측할 수 있는 유용한 도구이다. EPA SWMM은 이러한 LID 예측 및 분석하는 데 많이 사용 되고 있으며, 도시 유출 관리에 널리 사용되고 있다. 하지만 EPA SWMM의 LID 모듈의 경우, LID내의 오염물질 모의를 위한 기작이 없다. 이러한 점은 LID를 이용하여, 비점오염물질 저감을 예측하기에는 한계점을 보여준다. 이에 본 연구에서는 이러한 문제점을 개선하기 위하여, EPA SWMM LID 모듈에 오염물질 거동 기작을 추가하였다. 개발된 모형은 Bioretention과 infiltration trench를 모의를 하였으며, 모의 오염물질로는 TSS, TN, TP, COD 이다. 모의 결과 모델이 자연현상을 잘 모의 하고 있음을 보여주었다. 향후, 이 모형을 이용하여 도시 내 LID 시설의 오염물질 예측이 가능할 것으로 예상된다.

• 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$(Q_{275})$은 $0.0177m^3/s$에서 $0.0190m^3/s$로, 갈수량$(Q_{355})$은 $0.0176m^3/s$에서 $0.0189m^3/s$로 약 7%가 증가하는 것으로 분석되었다. 결과로부터 침투 트렌치는 저수량 및 갈수량을 증가시키는 보조수단이 될 수 있다.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.4 no.2
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• pp.92-100
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• 2001

The purpose of this study is to develop a method to spread out the ecological ponds in urban areas more effectively. It is urgent to supply the ecological ponds in more broad scope to ensure the water space in urban areas which has been dried out. It is necessary to formulate a plan for improving the amenity in the cities through creation a biotop in swampy land by building rainfall ponds. Thus, a model of the ecological pond in this study has been developed by reviewing the related researches which provide the theoretical basis and by considering the characteristics of nature for a naturally approached pond. This study has produced a ecological pond model in order to introduce and spread out damp biotop. Ecological aspects have been mainly considered in designing and building the pond model. This model consists of areas for emerged plants and bog plants and has its advantage in providing animals and insects with habitats and shelters. In addition, the model includes areas for emerged plants, which are very effective in purification of the rainfall from the rooftop. After the construction of the pond, the plants were planted according to the plan, and the infiltration trench was installed beside the pond to drain out the overflow of the pond. The result of this research has shown the possibility of supplying the ecological pond in small parks and in schools of the city in an easy way. Through the application of this pond system, the water cycle and the ecosystem in urban areas will be improved.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.363-363
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• 2022

LID 시설에 대한 모니터링은 인력을 활용한 실강우 모니터링을 진행하고 있으나 LID 시설은 소규모 분산형시설로서 인력을 동원한 식생고사, 강우시 모니터링, 현장답사 등 꾸준한 시설확인에 한계가 있으며, LID 시설을 조성한 이후 적정한 유지관리 방법(주기, 빈도, 항목 등)을 인지하지 못하여 막힘현상, 효율저하, 식물고사 등의 문제가 발생한다. 따라서 본연구에서는 딥러닝 분석을 활용하여 강우시 강우모니터링 자료와 LID 시설 내 센서를 통해 측정된 자료를 통해 침투도랑 내 유입수 성상에 대한 예측분석을 수행하였다. 심지 내 LID 시설에 유입되는 오염물질을 예측을 위한 딥러닝 분석을 위해 과거 실강우시 모니터링 자료(TSS, COD, TN, TP)와 대기센서(대기습도, 대기온도, 강수량, 미세먼지) 데이터를 활용하여 딥러닝 모델에 대한 적용가능성 평가를 수행하였다. 측정항목에 대한 상관성 분석을 수행하였으며, 딥러닝 모델은 Tenser Flow를 이용하여 DNN(Deep Neural Network)모델을 활용하여 분석하였다. DNN 모델에 대한 MSE값은 0.31로 분석되었으며, TSS에 대한 평균 50.6mg/L로 분석되었으며, COD 평균 98.7 mg/L로 나타났다. TN의 평균 2.21 mg/L로 분석되었으며, TP 평균 0.67 mg/L로 나타났다. 상관계수분석결과 TSS는 0.53로 분석되었으며, TN과 TP의 상관계수는 0.10, 0.56으로 나타났다. COD의 상관계수는 0.63으로 TSS와 COD, TP에 대한 예측이 된 것으로 분석되었다. 딥러닝을 통한 LID 시설 내 농도변화 예측시 강우시 센서데이터 값은 조밀해야하며 오염물질 농도와 상관성이 높은 항목들에 대해 계측과 실강우 모니터링 자료를 축적하여 미래에 대한 활용성을 높여야 한다.