Pub Date : 2020-04-30DOI: 10.11001/jksww.2020.34.2.115
Taekgi Lee, Seung-hyun Kim
{"title":"Inorgainc fouling and it fouling reduction in direct contact membrane distillation process","authors":"Taekgi Lee, Seung-hyun Kim","doi":"10.11001/jksww.2020.34.2.115","DOIUrl":"https://doi.org/10.11001/jksww.2020.34.2.115","url":null,"abstract":"","PeriodicalId":16258,"journal":{"name":"Journal of Korean Society of Water and Wastewater","volume":"102 1","pages":"115-125"},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73343831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-30DOI: 10.11001/jksww.2020.34.2.149
H. Ji, D. Koo, S. Yoo, Jeong-Hee Kang
{"title":"Study of structural properties and development of high strength Cured-In-Place Pipe (CIPP) liner for sewer pipes using glass fiber","authors":"H. Ji, D. Koo, S. Yoo, Jeong-Hee Kang","doi":"10.11001/jksww.2020.34.2.149","DOIUrl":"https://doi.org/10.11001/jksww.2020.34.2.149","url":null,"abstract":"","PeriodicalId":16258,"journal":{"name":"Journal of Korean Society of Water and Wastewater","volume":"179 1","pages":"149-159"},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74137729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-30DOI: 10.11001/jksww.2020.34.2.105
Taeyoung Kim, Suwan Park
{"title":"Development of a system dynamics computer model to simulate the operational effects of the new environmental technology certification system","authors":"Taeyoung Kim, Suwan Park","doi":"10.11001/jksww.2020.34.2.105","DOIUrl":"https://doi.org/10.11001/jksww.2020.34.2.105","url":null,"abstract":"","PeriodicalId":16258,"journal":{"name":"Journal of Korean Society of Water and Wastewater","volume":"27 1","pages":"105-114"},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84217037","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-04-30DOI: 10.11001/jksww.2020.34.2.093
Jun‐Hyun Kim, J. Jang, Jinho Kim, Kwang-Duck Park
{"title":"A study on the treatment of water discharge from the water treatment plant using end-free submerged membrane","authors":"Jun‐Hyun Kim, J. Jang, Jinho Kim, Kwang-Duck Park","doi":"10.11001/jksww.2020.34.2.093","DOIUrl":"https://doi.org/10.11001/jksww.2020.34.2.093","url":null,"abstract":"","PeriodicalId":16258,"journal":{"name":"Journal of Korean Society of Water and Wastewater","volume":"9 1","pages":"93-104"},"PeriodicalIF":0.0,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82039471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-02-28DOI: 10.11001/jksww.2020.34.1.061
Kyeong-deok Park, D. Kang, Y. So, J. Cho, Il-Kyu Kim
{"title":"Degradation characteristics and intermediate study of tetracycline in aqueous system by liquid ferrate(VI)","authors":"Kyeong-deok Park, D. Kang, Y. So, J. Cho, Il-Kyu Kim","doi":"10.11001/jksww.2020.34.1.061","DOIUrl":"https://doi.org/10.11001/jksww.2020.34.1.061","url":null,"abstract":"","PeriodicalId":16258,"journal":{"name":"Journal of Korean Society of Water and Wastewater","volume":"31 1","pages":"61-73"},"PeriodicalIF":0.0,"publicationDate":"2020-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72713271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-02-28DOI: 10.11001/jksww.2020.34.1.023
Geon-ha Kim
{"title":"Cooperation plan between South-North Korea in the water environment sector","authors":"Geon-ha Kim","doi":"10.11001/jksww.2020.34.1.023","DOIUrl":"https://doi.org/10.11001/jksww.2020.34.1.023","url":null,"abstract":"","PeriodicalId":16258,"journal":{"name":"Journal of Korean Society of Water and Wastewater","volume":"123 1","pages":"23-33"},"PeriodicalIF":0.0,"publicationDate":"2020-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80768058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-02-28DOI: 10.11001/jksww.2020.34.1.075
Gwan-Woo Shin, Seung-Kyu Choi, Jin-su Kim, kyoungja Weon, Sang-Ill Lee
{"title":"Degradation characteristics and upgrading biodegradability of phenol by dielectric barrier discharge plasma using catalyst","authors":"Gwan-Woo Shin, Seung-Kyu Choi, Jin-su Kim, kyoungja Weon, Sang-Ill Lee","doi":"10.11001/jksww.2020.34.1.075","DOIUrl":"https://doi.org/10.11001/jksww.2020.34.1.075","url":null,"abstract":"","PeriodicalId":16258,"journal":{"name":"Journal of Korean Society of Water and Wastewater","volume":"4 1","pages":"75-83"},"PeriodicalIF":0.0,"publicationDate":"2020-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85151646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-02-28DOI: 10.11001/jksww.2020.34.1.035
Jungsu Park, Hyunho Lee
Turbidity has various effects on the water quality and ecosystem of a river. High turbidity during floods increases the operation cost of a drinking water supply system. Thus, the management of turbidity is essential for providing safe water to the public. There have been various efforts to estimate turbidity in river systems for proper management and early warning of high turbidity in the water supply process. Advanced data analysis technology using machine learning has been increasingly used in water quality management processes. Artificial neural networks(ANNs) is one of the first algorithms applied, where the overfitting of a model to observed data and vanishing gradient in the backpropagation process limit the wide application of ANNs in practice. In recent years, deep learning, which overcomes the limitations of ANNs, has been applied in water quality management. LSTM(Long-Short Term Memory) is one of novel deep learning algorithms that is widely used in the analysis of time series data. In this study, LSTM is used for the prediction of high turbidity(>30 NTU) in a river from the relationship of turbidity to discharge, which enables early warning of high turbidity in a drinking water supply system. The model showed 0.98, 0.99, 0.98 and 0.99 for precision, recall, F1-score and accuracy respectively, for the prediction of high turbidity in a river with 2 hour frequency data. The sensitivity of the model to the observation intervals of data is also compared with time periods of 2 hour, 8 hour, 1 day and 2 days. The model shows higher precision with shorter observation intervals, which underscores the importance of collecting high frequency data for better management of water resources in the future.
浑浊度对河流水质和生态系统有多种影响。洪水期间的高浊度增加了饮用水供应系统的运行成本。因此，浊度管理对于向公众提供安全用水至关重要。为了在供水过程中进行适当的管理和高浑浊度的早期预警，已经有各种努力来估计河流系统的浑浊度。使用机器学习的先进数据分析技术已越来越多地用于水质管理过程。人工神经网络是最早应用的算法之一，但模型对观测数据的过拟合和反向传播过程中的梯度消失等问题限制了人工神经网络在实际中的广泛应用。近年来，深度学习克服了人工神经网络的局限性，在水质管理中得到了应用。LSTM(Long-Short Term Memory)是一种新型的深度学习算法，广泛应用于时间序列数据的分析。本研究从浑浊度与流量的关系出发，利用LSTM对某河流的高浑浊度(>30 NTU)进行预测，实现了饮用水供应系统高浑浊度的预警。对于2小时频率数据的高浊度预测，模型的精密度、召回率、f1评分和准确度分别为0.98、0.99、0.98和0.99。比较了2小时、8小时、1天和2天时间段模型对数据观测间隔的敏感性。该模型以更短的观测间隔显示出更高的精度，这强调了收集高频数据对未来更好地管理水资源的重要性。
{"title":"Prediction of high turbidity in rivers using LSTM algorithm","authors":"Jungsu Park, Hyunho Lee","doi":"10.11001/jksww.2020.34.1.035","DOIUrl":"https://doi.org/10.11001/jksww.2020.34.1.035","url":null,"abstract":"Turbidity has various effects on the water quality and ecosystem of a river. High turbidity during floods increases the operation cost of a drinking water supply system. Thus, the management of turbidity is essential for providing safe water to the public. There have been various efforts to estimate turbidity in river systems for proper management and early warning of high turbidity in the water supply process. Advanced data analysis technology using machine learning has been increasingly used in water quality management processes. Artificial neural networks(ANNs) is one of the first algorithms applied, where the overfitting of a model to observed data and vanishing gradient in the backpropagation process limit the wide application of ANNs in practice. In recent years, deep learning, which overcomes the limitations of ANNs, has been applied in water quality management. LSTM(Long-Short Term Memory) is one of novel deep learning algorithms that is widely used in the analysis of time series data. In this study, LSTM is used for the prediction of high turbidity(>30 NTU) in a river from the relationship of turbidity to discharge, which enables early warning of high turbidity in a drinking water supply system. The model showed 0.98, 0.99, 0.98 and 0.99 for precision, recall, F1-score and accuracy respectively, for the prediction of high turbidity in a river with 2 hour frequency data. The sensitivity of the model to the observation intervals of data is also compared with time periods of 2 hour, 8 hour, 1 day and 2 days. The model shows higher precision with shorter observation intervals, which underscores the importance of collecting high frequency data for better management of water resources in the future.","PeriodicalId":16258,"journal":{"name":"Journal of Korean Society of Water and Wastewater","volume":"249 1","pages":"35-43"},"PeriodicalIF":0.0,"publicationDate":"2020-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87407127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-02-28DOI: 10.11001/jksww.2020.34.1.001
Jun-Young Kim, Ji-Soon Hwang, Younggyun Choi, G. Shin
{"title":"Effects of pyrolysis temperature of the waste cattle bone char on the fluoride adsorption characteristics","authors":"Jun-Young Kim, Ji-Soon Hwang, Younggyun Choi, G. Shin","doi":"10.11001/jksww.2020.34.1.001","DOIUrl":"https://doi.org/10.11001/jksww.2020.34.1.001","url":null,"abstract":"","PeriodicalId":16258,"journal":{"name":"Journal of Korean Society of Water and Wastewater","volume":"6 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2020-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85027310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-02-28DOI: 10.11001/jksww.2020.34.1.053
Hayeon Yang, J. Koo, T. Hwang, Seongpil Jeong
{"title":"Cost analysis of water supply and development of desalination vessel as a drought response","authors":"Hayeon Yang, J. Koo, T. Hwang, Seongpil Jeong","doi":"10.11001/jksww.2020.34.1.053","DOIUrl":"https://doi.org/10.11001/jksww.2020.34.1.053","url":null,"abstract":"","PeriodicalId":16258,"journal":{"name":"Journal of Korean Society of Water and Wastewater","volume":"30 1","pages":"53-60"},"PeriodicalIF":0.0,"publicationDate":"2020-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88002712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：