• Title/Summary/Keyword: Water Level Prediction

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The Prediction of Water Temperature at Saemangeum Lake by Neural Network (신경망모형을 이용한 새만금호 수온 예측)

  • Oh, Nam Sun;Jeong, Shin Taek
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.27 no.1
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    • pp.56-62
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    • 2015
  • The potential impact of water temperature on sea level and air temperature rise in response to recent global warming has been noticed. To predict the effect of temperature change on river water quality and aquatic environment, it is necessary to understand and predict the change of water temperature. Air-water temperature relationship was analyzed using air temperature data at Buan and water temperature data of Shinsi, Garyeok, Mangyeong and Dongjin. Maximum and minimum water temperature was predicted by neural network and the results show a very high correlation between measured and predicted water temperature.

Development and Assessment of Flow Nomograph for the Real-time Flood Forecasting in Cheonggye Stream (청계천 실시간 홍수예보를 위한 Flow Nomograph 개발 및 평가)

  • Bae, Deg-Hyo;Shim, Jae Bum;Yoon, Seong-Sim
    • Journal of Korea Water Resources Association
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    • v.45 no.11
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    • pp.1107-1119
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    • 2012
  • The objectives of this study are to develop the flow nomograph for real-time flood forecasting and to assess its applicability in restored Cheonggye stream. The Cheonggye stream basin has the high impermeability and short concentration time and complicated hydrological characteristics. Therefore, the flood prediction method using runoff model is ineffective due to the limit of forecast. Flow nomograph which is able to forecast flood only with rainfall information. To set the forecast criteria of flow nomograph at selected flood forecast points and calculated criterion flood water level for each point, and in order to reflect various flood events set up simulated rainfall scenario and calculated rainfall intensity and rainfall duration time for each condition of rainfall. Besides, using a rating curve, determined scope of flood discharge following criterion flood water level and using SWMM model calculated flood discharge for each forecasting point. Using rainfall information following rainfall scenario calculated above and flood discharge following criterion flood water level developed flow nomograph and evaluated it by applying it to real flood event. As a result of performing this study, the applicability of flow nomograph to the basin of Cheonggye stream appeared to be high. In the future, it is reckoned to have high applicability as a method of prediction of flood of urban stream basin like Cheonggye stream.

Development and Assessment of a Dynamic Fate and Transport Model for Lead in Multi-media Environment

  • Ha, Yeon-Jeong;Lee, Dong-Soo
    • Environmental Engineering Research
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    • v.14 no.1
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    • pp.53-60
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    • 2009
  • The main objective was to develop and assess a dynamic fate and transport model for lead in air, soil, sediment, water and vegetation. Daejeon was chosen as the study area for its relatively high contamination and emission levels. The model was assessed by comparing model predictions with measured concentrations in multi-media and atmospheric deposition flux. Given a lead concentration in air, the model could predict the concentrations in water and soil within a factor of five. Sensitivity analysis indicated that effective compartment volumes, rain intensity, scavenging ratio, run off, and foliar uptake were critical to accurate model prediction. Important implications include that restriction of air emission may be necessary in the future to protect the soil quality objective as the contamination level in soil is predicted to steadily increase at the present emission level and that direct discharge of lead into the water body was insignificant as compared to atmospheric deposition fluxes. The results strongly indicated that atmospheric emission governs the quality of the whole environment. Use of the model developed in this study would provide quantitative and integrated understanding of the cross-media characteristics and assessment of the relationships of the contamination levels among the multi-media environment.

Prediction of structural behavior of PVC sewer manhole (PVC 하수맨홀의 구조적 거동 및 예측)

  • Kim, Sunhee;Cho, Jinkyu;Joo, Hyungjung;Kim, Yongsoo;Yoon, Soonjong
    • Journal of Korean Society of Water and Wastewater
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    • v.28 no.4
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    • pp.491-500
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    • 2014
  • Due to rapid urbanization and industrialization, water supply and sewer line systems are also developed relevantly. Manhole is an essential component structure of the pipeline system. Manhole is a structure constructed to accommodate the direction, dimension, differences in level, and easy of maintenance in the pipeline system. In this paper we present the result of investigations pertaining to the structural behavior of PVC sewer manhole buried underground. In the paper mechanical properties of PVC material are reported. In addition, by the finite element analysis (FEA), we confirmed that a PVC double-wall corrugated pipe manhole, when it is buried underground, is safe for the stress as well as buckling strength if the manhole is constructed within the suggested limit of buried depth.

폐광 전후 삼탄 광산배수의 수질특성과 의의

  • 정영욱;강상수;임길재;홍성규;조원재;조영도;전호석;민정식
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2003.09a
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    • pp.422-425
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    • 2003
  • This study was carried out to apprehend the variation of quality of mine drainage in the abandoned Samtan coal mine. After closure of coal mine, although still pumping, water level in underground was raised to loom and the concentration of some elements such as Fe and Mn was elevated. At present, the worst pollution source in this area is too the acidic leachate drained from uncovered mine waste impoundment. The flow rate of mine drainage from the adit is ave. about 20,000t/d. If water were flooded and deteriorated due to stopping pumping, the impact of the mine drainage on the stream around the abandoned mine would be more severe. Therefore, It is considered that the prediction of water quality of mine drainage from the adit after stopping pumping will be very important with a view to establishing countermeasures.

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A Study on the Water Quality Prediction in Rural Watershed Using SWAT-WASP Model (SWAT-WASP 모형을 이용한 농촌유역의 수질예측에 관한 연구)

  • 권명준;권순국
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 1999.10c
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    • pp.708-714
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    • 1999
  • For the assessment of the level of stream pollution, SWAT-WASP model linked with GIS was applied to a respresentative rural watershed and evaluated for its applicability through calibration and verfication using observed data. Using daily water yields, sediment yields and nutrient discharge simulated by SWAT model, WASP input file was build. Point source pollutant and water quality change in stream was considered in WASP model. For the model applicatiion , digital maps were constructed for watershed boundary, ladn-use , soil series , digital elevation, and topographic data of Bok-Ha watershed using GRASS. The model application results showed that the simulated runoff was in a good agreement with the observed data and indicated reasonable applicability of the model.

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Prediction of DorimRiver Water Level Using Tensorflow (Tensorflow를 이용한 도림천 수위 예측)

  • Yuk, Gi-moon;Lee, Jung-hwan;Jeong, Min-su;Moon, Hyeon-Tae;Moon, Yong-il
    • Proceedings of the Korea Water Resources Association Conference
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    • 2019.05a
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    • pp.188-188
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    • 2019
  • 본 연구에서는 텐서플로우를 이용한 관측자료 기반의 수위예측 연구를 수행하였다. 대상유역은 도림천 유역으로 선정하였으며 관측강우와 상류하천의 수위자료를 이용하여 하류인 도림교지점의 수위를 예측하였으며 다른 변수는 배제하였다. 사용된 모형은 시계열 데이터예측에 우수한 성능을 보이는 RNN(Recurrent Neural Network)과 LSTM(Long Short Term Memory networks)을 이용하였으며 수위자료는 2005년부터 2016년도 10분단위 관측강우와 수위 데이터를 학습하여 2017년도 수위데이터를 예측하도록 하였다. 본 연구를 통하여 홍수기 실시간 수위예측이 가능할것으로 판단되며 도시지역 골든타임 확보에 활용될 것으로 판단된다.

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A Study on the Prediction of River Water Level Using Artificial Neural Network Theory and Unstructured Data (인공신경망 이론과 비정형데이터를 활용한 하천수위 예측에 관한 연구)

  • Lee, Jeongha;Hwang, SeokHwan
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.388-388
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    • 2020
  • 매년 국지성호우 및 태풍으로 인해 하천 범람이나 저지대침수가 발생하고 있으며 이는 인명 피해 사례로 이어지기도 한다. 피해 발생을 최소화시키기 위해 강우와 유량과 같은 정형데이터로 홍수예보가 이뤄지고 있으나 기존의 정형데이터만 사용하다보니 도심지역이나 소규모 하천에서 인명 피해 예측에 어려움이 있다. 이를 보완하기 위해서는 인구의 유동성을 고려한 비정형데이터를 활용해야 한다. 최근 소셜 네트워크 서비스(SNS)의 사용자가 증가됨에 따라 텍스트나 사진과 같은 다양한 비정형데이터가 생성되고 있다. 이렇게 생성된 데이터는 다양한 분야에서 활용되고 있으며 특히 지진이나 홍수와 같은 재난 발생 시 유용한 데이터로 활용된 사례가 증가하고 있다. 이는 사람들이 GIS와 같은 위치정보나 시간 등을 포함한 다양한 정보를 포함하기 때문이다. 하지만 이렇게 생산된 비정형데이터를 기존 물리적 기반의 수문모형의 데이터로 활용하기에는 많은 한계점이 있다. 따라서 본 연구에서는 SNS 채널을 통해 생성된 비정형 데이터들을 인공신경망모형에 적용하여 하천수위를 예측하였다.

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Prediction of the Water Level of the Tidal River using Artificial Neural Networks and Stationary Wavelets Transform (인공신경망과 정상 웨이블렛 변환을 활용한 감조하천 수위 예측)

  • Lee, Jeongha;Hwang, SeokHwan
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.357-357
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    • 2021
  • 홍수로 인한 침수피해 발생을 최소화하기 위해 정확한 하천의 수위 예측과 리드타임 확보가 매우 중요하다. 특히 조석현상의 영향을 받는 감조하천의 경우 기존의 물리적 수문모형의 적용이 제한되어 하천수위 예측의 정확도가 떨어지기도 한다. 따라서 본 연구에서는 이러한 감조하천 수위 예측의 정확도를 높이기 위해 조석현상을 분리하고 인공신경망을 활용하는 하이브리드 모델을 제안 하였으며 다중 선형회귀분석과 비교 분석하였다. 감조하천에 위치한 교량의 수위데이터에서 Stationary Wavelet Transform으로 조석현상을 분리하였으며, 이외의 수위에 영향을 주는 time series data와 인공신경망(ANN)을 활용하여 1시간, 2시간, 3시간 후의 수위를 예측하였다. 하이브리드 모델은 96% 이상의 정확도를 보였으며 다중 선형회귀 분석과 비교하여도 높은 정확성을 보여주었다.

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The Prediction of Water Quality in Ulsan Area Using Material Cycle Model (물질순환모델을 이용한 울산해역의 수질예측)

  • SHIN BUM-SHICK;KIM KYU-HAN;PYUN CHONG-KUN
    • Journal of Ocean Engineering and Technology
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    • v.20 no.1 s.68
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    • pp.55-62
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    • 2006
  • Recently, pollution by development in coastal areas is going from bad to worse. The Korean government is attempting to make policies that prevent water pollution, but it is still difficult to say whether such measures are lowering pollution to an acceptable level. More specifically, the general investigation that has been done in KOREA does not accurately reflect the actual conditions of pollution in coastal areas. An investigation that quantitatively assesses water quality management using rational prediction technology must be attempted, and the ecosystem model, which incorporates both the 3-dimensional hydrodynamic and material cycle models, is the only one with a broad enough scope to obtain accurate results. The hydrodynamic model, which includes advection and diffusion, accounts for the ever-changing flow and (quality) of water in coastal areas, while the material cycle model accounts for pollutants and components of decomposition as sources of the carbon, phosphorus, and nitrogen cycles. In this paper, we simulated the rates of dissolved oxygen (DO), chemical oxygen demand (COD), total nitrogen(T-N) and total-phosphorous(T-P) in Korea's Ulsan Area. Using the ecosystem model, we did simulations using a specific set of parameters and did comparative analysis to determine those most appropriate for the actual environmental characteristics of Ulsan Area. The simulation was successful, making it now possible to predict the likelihood of coastal construction projects causing ecological damage, such as eutrophication and red tide. Our model can also be used in the environmental impact assessment (EIA) of future development projects in the ocean.