• 제목/요약/키워드: water pollution prediction

검색결과 95건 처리시간 0.023초

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

  • 권명준;권순국
    • 한국농공학회:학술대회논문집
    • /
    • 한국농공학회 1999년도 Proceedings of the 1999 Annual Conference The Korean Society of Agricutural Engineers
    • /
    • pp.708-714
    • /
    • 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.

  • PDF

인공지능 기법을 활용한 한반도 해역의 수질평가지수 예측모델 개발 (Development of a Water Quality Indicator Prediction Model for the Korean Peninsula Seas using Artificial Intelligence)

  • 김성수;손규희;김도연;허장무;김성은
    • 해양환경안전학회지
    • /
    • 제29권1호
    • /
    • pp.24-35
    • /
    • 2023
  • 급격한 산업화와 도시화로 인해 해양 오염이 심각해지고 있으며, 이러한 해양 오염을 실효적으로 관리하기 위해 수질평가지수(Water Quality Index, WQI)를 마련하여 활용하고 있다. 하지만 수질평가지수는 다소 복잡한 계산과정으로 인한 정보의 손실, 기준값 변동, 실무자의 계산오류, 통계적 오류 등의 불확실성(uncertainty)을 내포하고 있다. 이에 따라 국내·외에서 인공지능 기법을 활용하여 수질평가지수를 예측하기 위한 연구가 활발히 이루어지고 있다. 본 연구에서는 해양환경측정망 자료(2000 ~ 2020년)를 활용하여 우리나라 전 해역 즉, 5개의 생태구에 대한 WQI를 추정할 수 있는 가장 적합한 인공지능기법을 도출하기 위해 총 6가지의 기법(RF, XGBoost, KNN, Ext, SVM, LR)을 실험하였다. 그 결과, Random Forest 기법이 다른 기법에 비해 가장 우수한 성능을 보였다. Random Forest 기법의 WQI 점수 예측값과 실제값의 잔차 분석 결과, 모든 생태구에서 시간적 및 공간적 예측 성능이 우수한 것으로 나타났다. 이를 통해 본 연구에서 개발한 Random Forest 기법은 높은 정확도를 바탕으로 우리나라 전해역에 대한 WQI를 예측 가능할 것으로 사료된다.

도시하천의 하상퇴적토 준설에 따른 수질변화 예측 (Prediction of Water Quality Variation Caused by Dredging Urban River-bed)

  • 조홍제;이병호;김정식;이근배
    • 한국수자원학회논문집
    • /
    • 제35권2호
    • /
    • pp.137-148
    • /
    • 2002
  • 도시하천 하류부에서의 하상퇴적토 준설에 따른 수직개선효과를 검토하기 위해 유한차분법을 사용하여 목표년도 하수의 차집율에 따라 목표수질 달성에 대한 기여정도를 분석하였다. 도시를 관류하고 있는 11.2km의 하천구간내에 21개 지점을 선정하여 시추를 실시하였으며, 용출시험을 통한 하상퇴적토의 오염정도을 조사하였다. 하상퇴적토 준석에 따른 주요지점별 COD 변화를 갈수량, 저수량 및 평수량에 대해서 검토하였고, 그 결과 오염된 하상퇴적토의 준설이 수질개선에 미치는 효과가 비교적 큰 것으로 나타났다.

밀양강 중권역 오염부하 전망 및 삭감 시나리오별 하류 수질예측 (Water Quality Prediction and Forecast of Pollution Source in Milyanggang Mid-watershed each Reduction Scenario)

  • 유재정;윤영삼;신석호;권헌각;윤종수;전영인;강두기;갈병석
    • 한국환경과학회지
    • /
    • 제20권5호
    • /
    • pp.589-598
    • /
    • 2011
  • Milyanggang mid-watershed is located in downstream of Nakdong river basin. The pollutants from that watershed have an direct effect on Nakdong river water quality and it's control is important to manage a water quality of Nakdong river. A target year of Milyanggang mid-watershed water environment management plan is 2013. To predict a water quality at downstream of Milyang river, we have investigated and forecasted the pollutant source and it's loading. There are some plan to construction the sewage treatment plants to improve the water quality of Milyang river. Those are considered on predicting water quality. As results, it is shown that the population of Milyanggang mid-watershed is 131,857 and sewerage supply rate is 62.2% and the livestock is 1,775.300 in 2006. It is estimated that the population is 123,921, the sewerage supply rate is 75.5% in 2013. The generated loading of BOD and TP is 40,735 kg/day and 2,872 kg/day in 2006 and discharged loading is 11,818 kg/day and 722 kg/day in 2006 respectively. Discharged loadings were forecasted upward 1.0% of BOD and downward 2.7% of TP by 2013. The results of water quality prediction of Milyanggang 3 site were 1.6 mg/L of BOD and 0.120 mg/L of TP in 2013. It is over the target water quality at that site in 2015 about 6.7% and 20.0% respectively. Consequently, there need another counterplan to reduce the pollutants in that mid-watershed by 2015.

조류발전용 수평축터빈의 단독성능 평가를 위한 수치 해석법 (NUMERICAL METHODS FOR OPEN WATER PERFORMANCE PREDICTION OF HORIZONTAL AXIS TIDAL STREAM ENERGY CONVERSION TURBINE)

  • 이주현;김동환;이신형;김문찬;현범수;남종호
    • 한국전산유체공학회:학술대회논문집
    • /
    • 한국전산유체공학회 2010년 춘계학술대회논문집
    • /
    • pp.155-162
    • /
    • 2010
  • Recently, due to high oil prices and environmental pollution issues, interest of alternative energy development increases and the related research is widely conducted. Among those research activities the tidal stream power generation utilizes the tidal flow as its mechanical power resource and less depends on the environmental condition for installation and operation than other renewable energy resources. Therefore the amount of power generated is quite consistent and straightforward to predict. However, research on the tidal stream energy conversion turbine is rarely found. In the present study, two numerical methods were developed and compared for the open water Momentum Theory, which is widely used for wind turbines, was adopted. The moving reference frame method for Computational Fluid Dynamis solver were also used. Hybrid meshing was used for the complex geometry of turbines. The analysis results using each method were compared to figure out a better method for the performance prediction.

  • PDF

단순(單純)모델을 이용(利用)한 저수지(貯水池) 수질예측(水質豫測) (Prediction of water quality on some reservoirs with a simple model)

  • 김정규;복도무언;상기수홍;서윤수
    • 한국환경농학회지
    • /
    • 제11권1호
    • /
    • pp.20-25
    • /
    • 1992
  • 현재 우리나라에서 수집가능한 데이타를 이용하여 간단한 수질예측 모델의 작성을 목적으로서, 우리나라의 주요한 12개 댐호(湖)를 대상으로 유역정보와 호수 수질과의 관계를 조사하였다. 얻어진 결과는 다음과 같다. 1. 호수의 환경정보가 매우 적기 때문에 데이타의 취사선택에 관해서 충분한 검토를 행하기 어려운 점이 있어서 앞으로 이들 데이타의 확보나 정보의 정비가 필요하다고 판단된다. 2. 댐호(湖)의 영양염 농도의 예측에는 침강속도를 0.4m/년으로서 Dillon과 Kirchner식을 이용하는 것이 좋았다. 3. 엽록소 a의 농도는 엽록소 $a=395\;{\time}\;Nu-1.090$의 식으로 예측할 수 있었다. 4. 앞으로 예측의 정도를 향상시키기 위해서는 발생원단위 및 배출원단위의 검토와 보다 많은 호수나 댐에서의 실측 데이타 및 유역 환경 데이타의 축적 및 정비가 필요하다고 판단된다.

  • PDF

SWAT 모형을 이용한 만대천 유역의 비점오염 예측과 초생대 수질 개선 효과 분석 (Water Quality Prediction at Mandae Watershed using SWAT and Water Quality Improvement with Vegetated Filter Strip)

  • 이지원;엄재성;김범철;장원석;류지철;강현우;김기성;임경재
    • 한국농공학회논문집
    • /
    • 제53권1호
    • /
    • pp.37-45
    • /
    • 2011
  • Mandae watershed in Gangwon province has been known as one of soil erosion hot spot watersheds within Hanggang basin. Thus numerous efforts have been made to reduce soil erosion and pollutant loads into receiving watershed. However, proper best management practices have not been suggested because no monitoring flow and water quality data were available. Thus, modeling technique could not be utilized to evaluate water quality issue properly at Mandae watershed to develop and implement the best management practices. In this study, the SWAT model was applied to the Mandae watershed, Gangwon province to evaluate the SWAT prediction ability and water quality improvement with vegetated filter strip (VFS) in this study. The Nash-Sutcliffe model efficiency (NSE) and Coefficient of determination ($R^2$) values for flow simulation were 0.715 and 0.802, respectively, and the NSE and $R^2$ values were 0.903 and 0.920 for T-P simulation indicating the SWAT can be used to simulate flow and T-P with acceptable accuracies. The SWAT model, calibrated for flow and T-P, was used to evaluate water quality improvement with the VFS in agricultural fields. It was found that approximately 56.19 % of T-P could be reduced with vegetated filter strip of 5 m at the edge of agricultural fields within the watershed (34.86 % reduction with VFS of 1m, 48.29 % with VFS of 3 m). As shown in this study, the T-P, which plays key roles in eutrophication in the waterbodies, can be reduced with proper installation of the VFS.

미세먼지 예측 성능 개선을 위한 CNN-LSTM 결합 방법 (CNN-LSTM Combination Method for Improving Particular Matter Contamination (PM2.5) Prediction Accuracy)

  • 황철현;신강욱
    • 한국정보통신학회논문지
    • /
    • 제24권1호
    • /
    • pp.57-64
    • /
    • 2020
  • 최근 IoT 센서의 확산과 빅데이터, 인공지능 관련 기술의 발전으로 인해 미세먼지 오염도에 대한 시계열 예측 관련 연구가 활발하게 진행되고 있다. 하지만 미세먼지 오염도를 나타내는 데이터가 급격히 변하는 특성(Extreme)을 가지고 있어 기존의 시계열 예측방법으로는 현장에서 사용할 수 있는 수준의 정확도를 내지 못하고 있다. 이 논문에서는 LSTM을 활용하여 미세먼지 오염도를 예측할 때 CNN을 통한 환경상황을 분류한 결과를 반영하는 방법을 제안한다. 이 방법은 LSTM과 CNN이 독립적이지만 인터페이스를 통해 하나의 네트워크로 통합되기 때문에, 응용 LSTM보다 이해하기 쉽다. Beijing PM2.5 데이터를 활용한 제안 방법의 검증 실험에서 예측 정확도와 변화 시기에 대한 예측력이 다양한 실험 case에서 일관되게 향상된 결과를 보였다.

Water Quality Assessment and Turbidity Prediction Using Multivariate Statistical Techniques: A Case Study of the Cheurfa Dam in Northwestern Algeria

  • ADDOUCHE, Amina;RIGHI, Ali;HAMRI, Mehdi Mohamed;BENGHAREZ, Zohra;ZIZI, Zahia
    • 공업화학
    • /
    • 제33권6호
    • /
    • pp.563-573
    • /
    • 2022
  • This work aimed to develop a new equation for turbidity (Turb) simulation and prediction using statistical methods based on principal component analysis (PCA) and multiple linear regression (MLR). For this purpose, water samples were collected monthly over a five year period from Cheurfa dam, an important reservoir in Northwestern Algeria, and analyzed for 12 parameters, including temperature (T°), pH, electrical conductivity (EC), turbidity (Turb), dissolved oxygen (DO), ammonium (NH4+), nitrate (NO3-), nitrite (NO2-), phosphate (PO43-), total suspended solids (TSS), biochemical oxygen demand (BOD5) and chemical oxygen demand (COD). The results revealed a strong mineralization of the water and low dissolved oxygen (DO) content during the summer period. High levels of TSS and Turb were recorded during rainy periods. In addition, water was charged with phosphate (PO43-) in the whole period of study. The PCA results revealed ten factors, three of which were significant (eigenvalues >1) and explained 75.5% of the total variance. The F1 and F2 factors explained 36.5% and 26.7% of the total variance, respectively and indicated anthropogenic pollution of domestic agricultural and industrial origin. The MLR turbidity simulation model exhibited a high coefficient of determination (R2 = 92.20%), indicating that 92.20% of the data variability can be explained by the model. TSS, DO, EC, NO3-, NO2-, and COD were the most significant contributing parameters (p values << 0.05) in turbidity prediction. The present study can help with decision-making on the management and monitoring of the water quality of the dam, which is the primary source of drinking water in this region.

호소수의 강우-저류량 및 TOC변동 특성분석을 위한 자기조직화 방법의 적용 (Application of Self-Organizing Map for the Characteristics Analysis of Rainfall-Storage and TOC Variation in a Lake)

  • 김용구;진영훈;정우철;박성천
    • 한국물환경학회지
    • /
    • 제24권5호
    • /
    • pp.611-617
    • /
    • 2008
  • It is necessary to analysis the data characteristics of discharge and water quality for efficient water resources management, aggressive alternatives to inundation by flood and various water pollution accidents, the basic information to manage water quality in lakes and to make environmental policy. Therefore, the present study applied Self-Organizing Map (SOM) showing excellent performance in classifying patterns with weights estimated by self-organization. The result revealed five patterns and TOC versus rainfall-storage data according to the respective patterns were depicted in two-dimensional plots. The visualization presented better understanding of data distribution pattern. The result in the present study might be expected to contribute to the modeling procedure for data prediction in the future.