• 제목/요약/키워드: poor water quality

검색결과 275건 처리시간 0.031초

수인성 전염병의 현황 및 효율적 관리 (Present status and effective control measure of water-borne infectious diseases in Korea)

  • 김호훈
    • 환경위생공학
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    • 제9권2호
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    • pp.41-49
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    • 1994
  • Water- borne infectious diseases can be acquired by contact with contaminated water or by ingestion of contaminated water. There are many water- borne infectious agents such as bacteria, virus, and parasite. Among many of water- borne infectious diseases, health authorities of Korean government has particularly intensified to prevent and control typhoid fever(class I ), shigellosis(class I ), cholera(class I ), paratyphoid fever(class I), amebiasis(class II ) and leptospirosis(euivalent to class II ) under the communicable disease control law. Water- borne disease Prevention and control guideline itself has been also well provided by the health authorities. However, in practical public health point of view, there are still many problems remained to be solved out; no prospective investigation project to survey water borne infectious diseases under the national disease prevention and control programmes, incredible statistic data of annual notifiable disease report frequent appearance and varieties of drug resistance water- borne infectious agents, little cooperation and information- exchange system in between the related government authorities( the health authorities, the environment sanitation authorities and the food hygiene authorities) which should be closely collaborated, lack of health consciousness of the people, necessity of evaluation and Hndification on to the outcomes of performed health activities and programmes, neglect activities for water quality investigation, shortage of expertise and human resources in the related field, and poor investment of the government budget to develope and improve public health and sanitation field. In order to prevent and control water- borne infectious diseases effectively, it is emphasized that all the above indicated should be considered and performed to improve under the national health and sanitation development programmes.

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염색폐수의 수질독성시험을 이용한 한국의 수질배출허용기준 평가연구 (Assessment of Korean Water Quality Standards for Effluent Discharged from the Dye Industry Based on Acute Aquatic Toxicity Tests Using Microbes and Macroinvertebrates)

  • 김영희;이민정;최경호;어수미;이홍근
    • 한국환경보건학회지
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    • 제30권3호
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    • pp.185-190
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    • 2004
  • Acute aquatic toxicity of effluents discharged from five dyeing plants in Gyeong-gi province were evaluated to assess whether the current Korean water quality standards(KWQS) could protect aquatic life. Chemical analyses of all parameters regulated under KWQS, except for E-coli, were also carried out to determine regulation compliance of the samples. All the effluent samples were satisfied with KWQS except for the color in only one sample. In acute Daphnia magna toxicity tests, significant mortality was observed in one of five samples and EC50 was 12.1%(95% confidence interval 9.1-16.2), which was in compliance with KWQS. The result of the Microtox assay indicated that acute microbial toxicity existed in effluents from three out of five plants, two of which were in compliance with KWQS. The agreement between regulation compliance of chemical concentrations of effluent and observed toxicity from various biological toxicity tests was very poor to fair (kappa = 0.194~0.250). The data presented suggest that exposure to dyeing wastewater which were in compliance with Korean water quality standards may not be safe to aquatic biota, and multiple tropical levels should be considered in aquatic toxicity monitoring of dyeing industry.

BASINS/HSPF를 이용한 화성유역 오염부하량의 정량적 평가 (Quantitative Estimation of Pollution Loading from Hwaseong Watershed using BASINS/HSPF)

  • 정광욱;윤춘경;장재호;김형철
    • 한국농공학회논문집
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    • 제49권2호
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    • pp.61-74
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    • 2007
  • A mathematical modeling program called Hydrological Simulation Program-FORTRAN (HSPF) developed by the United States Environmental Protection Agency (EPA) was applied to Hwaseong watershed. It was run under BASINS (Better Assessment Science for Integrating Point and Nonpoint Sources) program, and the model was validated using monitoring data of $2002{\sim}2005$. The model efficiency of runoff ranged from good to fair in comparison between simulated and observed data, while it was from very good to poor in the water quality parameters. But its reliability and performance were within the expectation considering complexity of the watershed and pollutant sources. The nonpoint source (NPS) loading for T-N and T-P during the monsoon rainy season (June to September) was about 80% of total NPS loading, and runoff volume was also in a similar range. However, NPS loading for BOD ($55{\sim}60%$) didn't depend on rainfall because BOD was mostly discharged from point source (more than 70%). And water quality was not necessarily high during the rainy season, and showed a decreasing trend with increasing water flow. BASINS/HSPF was applied to the Hwaseong watershed successfully without difficulty, and it was found that the model could be used conveniently to assess watershed characteristics and to estimate pollutant loading including point and nonpoint sources in watershed scale.

혼화재료가 공장제품용 시멘트 모르타르의 강도 및 동결융해 저항성에 미치는 영향 (Influence of Admixtures on Strengths and Freezing and Thawing Resistance of Cement Mortar for Precast Products)

  • 한천구;신병철;김기철;이상태
    • 콘크리트학회논문집
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    • 제12권3호
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    • pp.11-19
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    • 2000
  • It has been reported that few manufacturers of cement mortar for precast products use chemical and mineral admixture due to the absense of restrictions related to the application of admixture and the poor manufacturing facilities. Therefore, this paper is intended to contribute to the improvement of quality by investigating the properties of cement mortar for precast products using fly ash, blast furnace slag and AE water reducing agent. According to the test results. it was found that the cement mortar products using fly ash and AE water-reducing agent had better qualities than those of ordinary portland cement.

오존수를 이용한 태양전지용 웨이퍼의 세정에 관한 연구 (A Study on Solar Cell Wafer Cleaning using Ozonate Water)

  • 문세호;채상훈;손영수
    • 전자공학회논문지
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    • 제50권11호
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    • pp.43-49
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    • 2013
  • 실리콘 태양전지 제조에 기판으로 사용되는 156 mm 실리콘 웨이퍼의 제작 공정에 적용하기 위한 오존수 세정 메커니즘에 대하여 연구하였다. 이를 위하여 생산 공정에 있어서 제품 불량 및 성능 저하를 유발하는 웨이퍼 표면 오염원을 분석하였으며, 이를 제거하기 위한 오존 세정공정에 대하여 실험하였다. 이 기술을 적용한 결과 미세입자는 94% 이상 제거 되었으며, 잔류 유기물도 45% 이상 더 제거되는 것으로 나타났다.

Detection and Correction Method of Erroneous Data Using Quantile Pattern and LSTM

  • Hwang, Chulhyun;Kim, Hosung;Jung, Hoekyung
    • Journal of information and communication convergence engineering
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    • 제16권4호
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    • pp.242-247
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    • 2018
  • The data of K-Water waterworks is collected from various sensors and used as basic data for the operation and analysis of various devices. In this way, the importance of the sensor data is very high, but it contains misleading data due to the characteristics of the sensor in the external environment. However, the cleansing method for the missing data is concentrated on the prediction of the missing data, so the research on the detection and prediction method of the missing data is poor. This is a study to detect wrong data by converting collected data into quintiles and patterning them. It is confirmed that the accuracy of detecting false data intentionally generated from real data is higher than that of the conventional method in all cases. Future research we will prove the proposed system's efficiency and accuracy in various environments.

고주파수분센서를 이용한 콘크리트 단위수량 평가 정확도에 관한 실험적 연구 (An Experimental Study on the Accuracy of Concrete Unit-Water Content Using High-frequency Water Fraction Sensors)

  • 윤지원;이승엽;유승환;양현민;이한승
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2022년도 봄 학술논문 발표대회
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    • pp.61-62
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    • 2022
  • The unit quantity is an important factor influencing the durability, workability, and quality of concrete. Methods for measuring the unit quantity include a high frequency heating method, a unit volume mass method, a capacitance method, and a microwave method. However, these methods have disadvantages of poor measurement method, time required, and accuracy, and a relatively experimental method compensating for these disadvantages was used to measure the unit quantity using a high frequency main sensor (FDR) capable of simple and fast measurement. In addition, the unit quantity was evaluated by analyzing the measurement data through deep learning.

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천수만 방조제 건설 후 남당 천해 어류 종조성의 중장기 변화 (Change in Species Composition of Shallow Water Fish at the Namdang Beach after Dike Construction in Cheonsu Bay)

  • 권순열;이정훈;홍지민;황학빈;이태원
    • 한국어류학회지
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    • 제25권2호
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    • pp.106-118
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    • 2013
  • 남당리 조간대 천해에서 2010년 4월부터 2011년 3월까지 지인망으로 천해 어류를 채집하여 월별 종조성변화를 분석하였다. 방조제 건설 직후인 1985~86년과 1993년에 같은 방법으로 조사된 자료와 비교하여 중장기 어류 종조성 변화와 그 요인을 분석하였다. 조사기간 동안 총 25종, 2,194마리, 16,762 g의 어류가 채집되었으며 가숭어(Chelon haematocheilus)가 개체수의 68.5%를 차지하여 우점하였다. 수온이 낮은 11월에서 4월 사이에는 소수 개체만이 채집되었고 7월에 9월 사이에는 주거종뿐 아니라 부어류와 반 저어류의 유어들이 증가하여 채집량이 많았다. 1985~86년에서 1993년 사이에는 세립퇴적물을 선호하는 얼룩망둑이 증가하였지만 채집량과 서식처별 어종조성은 큰 차이를 보이지 않았으나, 2010~11년에는 이전 두 시기에 비해 출현종수와 채집량이 감소하였으며, 종조성도 부어류와 저서어류는 감소하였고 반저어류 중 가숭어는 증가하였다. 이 결과는 방조제 건설 이후 해수 순환 약화로 세립퇴적물 점진적으로 증가하고 우기에 부영양화된 담수가 유입되어 점진적으로 수질이 나빠지면서 천수만이 어류 보육장으로의 기능이 약화되고 대부분 저서어류가 살기에 부적합한 환경으로 변한 것으로 추정된다. 가숭어는 수질저하에 잘 적응하는 기수성 어류로 근래에 만내부에 가두리 양식이 시작되며 가두리를 벗어난 치어들이 많아져 증가한 것으로 보인다.

이매패의 생물정화 기작을 이용한 마산만의 수질개선방안 (Water quality management by bio-purification of bivalve, Mytilus galloprovincialis, in Masan Bay)

  • 홍석진;엄기혁;장주형;박종수;김동명;권정노
    • 한국습지학회지
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    • 제9권2호
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    • pp.71-84
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    • 2007
  • 마산만은 한국의 대표적인 반 폐쇄성 내만으로 유속이 느리며, 해수의 순환이 제한되어 입자물질의 침강이 주로 일어나고 있다. 특히, 육상기원 오염물질 유입은 환경오염문제를 일으켜, 부영양화, 적조, 저층 빈산소 현상 등의 문제가 빈번히 발생하고 있다. 본 연구에서는 생태계 모델을 이용하여, 이매패류를 포함하는 생태계 시스템에서 물질순환 과정의 계산을 수행하였으며, 여과식자인 이매패류에 의한 COD와 식물플랑크톤 같은 입자유기물질의 제거 효과도 계산하였다. 또한, 이매패류 양식장의 입식위치와 입식량을 산정하여, 생물학적 수질관리에 적용하고자 하였다. 모델결과에서, 최적 입식위치는 해양 물리적 과정을 참고로 하여 식물플랑크톤의 집적이 일어나는 곳을 선정하였으며, 최적 입식밀도는 35 개체/$m^{-3}$였고, 최적 입식 면적은 약 500 ha로 나타났다. 이매패류가 최적의 성장을 보인다고 가정하면, 육상부하의 삭감에 관한 노력 없이도 수중의 COD 농도의 18%의 개선효과가 나타났다.

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머신러닝 CatBoost 다중 분류 알고리즘을 이용한 조류 발생 예측 모형 성능 평가 연구 (Evaluation of Multi-classification Model Performance for Algal Bloom Prediction Using CatBoost)

  • 김준오;박정수
    • 한국물환경학회지
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    • 제39권1호
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    • pp.1-8
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    • 2023
  • Monitoring and prediction of water quality are essential for effective river pollution prevention and water quality management. In this study, a multi-classification model was developed to predict chlorophyll-a (Chl-a) level in rivers. A model was developed using CatBoost, a novel ensemble machine learning algorithm. The model was developed using hourly field monitoring data collected from January 1 to December 31, 2015. For model development, chl-a was classified into class 1 (Chl-a≤10 ㎍/L), class 2 (10<Chl-a≤50 ㎍/L), and class 3 (Chl-a>50 ㎍/L), where the number of data used for the model training were 27,192, 11,031, and 511, respectively. The macro averages of precision, recall, and F1-score for the three classes were 0.58, 0.58, and 0.58, respectively, while the weighted averages were 0.89, 0.90, and 0.89, for precision, recall, and F1-score, respectively. The model showed relatively poor performance for class 3 where the number of observations was much smaller compared to the other two classes. The imbalance of data distribution among the three classes was resolved by using the synthetic minority over-sampling technique (SMOTE) algorithm, where the number of data used for model training was evenly distributed as 26,868 for each class. The model performance was improved with the macro averages of precision, rcall, and F1-score of the three classes as 0.58, 0.70, and 0.59, respectively, while the weighted averages were 0.88, 0.84, and 0.86 after SMOTE application.