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Chan-Wook Lee
Department of Civil Engineering, The University of Suwon, Hwaseong-si 445-743, Korea

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Journal article
Published: 18 August 2021 in Sustainability
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With the advent of the 4th Industrial Revolution, advanced measurement infrastructure and utilization technologies are being noticeably introduced into the water supply system to store and utilize measurement data. From this perspective, the leak detection technology in water supply networks is becoming increasingly vital to sustainable water resource management and the clean water supply worldwide. In particular, leakage detection of buried pipelines is rated as a very challenging research topic given the current level of technology. However, leakage in buried underground pipelines is rated as a very challenging research topic given the current level of technology. Therefore, a data-driven leak detection model was developed through this study using deep learning technology based on inflow meter data. Multiple threshold-based models were applied to reduce the RNN-LSTM (Recurrent Neural Networks–Long Short-Term Memory models) deep learning and false prediction range, which is programmed in conjunction with the Python language and Google Colaboratory (a big data analysis tool). The developed model consists of flow pattern shape extraction, RNN-LSTM-based flow prediction, and threshold setting modules. The developed model was applied to the actual leakage accident data, followed by the performance evaluation. As a result, the leak was recognized at most points immediately after the accident. The performance of leak detection was evaluated by a Confusion matrix and showed more than 90% accuracy at all points except singularities. Therefore, the developed model can be used as a critical software technology to proactively identify various at present with smart water infrastructure being introduced. In addition, this model is highly scalable as it can consider various operational situations based on the expert system, and it can also efficiently reflect the results of pipe network analysis across different scenarios.

ACS Style

Chan-Wook Lee; Do-Guen Yoo. Development of Leakage Detection Model and Its Application for Water Distribution Networks Using RNN-LSTM. Sustainability 2021, 13, 9262 .

AMA Style

Chan-Wook Lee, Do-Guen Yoo. Development of Leakage Detection Model and Its Application for Water Distribution Networks Using RNN-LSTM. Sustainability. 2021; 13 (16):9262.

Chicago/Turabian Style

Chan-Wook Lee; Do-Guen Yoo. 2021. "Development of Leakage Detection Model and Its Application for Water Distribution Networks Using RNN-LSTM." Sustainability 13, no. 16: 9262.

Journal article
Published: 05 July 2021 in Water
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It is critical to prepare appropriate responses and countermeasures against droughts caused by a complex hazard process as the range of its damage and duration are very large. In this study, 160 local governments in Korea evaluated drought resilience. A total of 18 qualitative and quantitative drought recovery indicators were selected to collect and analyze data from each region. Comparative analysis of indicators through regional drought assessment was conducted to derive results and present directions for enhancing resilience. Lastly, a resilience curve of drought that can utilize the results of the evaluation was suggested and applied to the actual region, and the results were analyzed. The proposed method can be expected to be used as a basic and essential resources to prepare various local government measures against drought.

ACS Style

Chan-Wook Lee; Do-Guen Yoo. Evaluation of Drought Resilience Reflecting Regional Characteristics: Focused on 160 Local Governments in Korea. Water 2021, 13, 1873 .

AMA Style

Chan-Wook Lee, Do-Guen Yoo. Evaluation of Drought Resilience Reflecting Regional Characteristics: Focused on 160 Local Governments in Korea. Water. 2021; 13 (13):1873.

Chicago/Turabian Style

Chan-Wook Lee; Do-Guen Yoo. 2021. "Evaluation of Drought Resilience Reflecting Regional Characteristics: Focused on 160 Local Governments in Korea." Water 13, no. 13: 1873.

Journal article
Published: 13 November 2020 in Applied Sciences
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In general, studies of the seismic reliability of water supply systems through hydraulic analysis models fall into three categories: (1) model development through hydraulic analysis, (2) establishment of post-earthquake recovery strategies, and (3) robust design in preparation for earthquakes and the development of improvement techniques. In this study, with regard to the design of earthquake resistance techniques, which is the third category, a seismic reliability assessment was conducted that considers the water supply system, and a plan to maximize the seismic reliability was determined as a result of the analysis. The degree of improvement in seismic reliability was quantified for water supply systems with various sources and water supply routes via modeling of seismic protection for each water supply route. Korea’s A industrial water system, which has a history of large-scale earthquakes, was divided into nine paths, and the reliability of the water supply system and the cost of earthquake resistance were calculated and compared between the different paths. A water supply path consists of a combination of pipes of various sizes and lengths, and the amount of water to be supplied differs between paths. Quantifying the effect of the water supply system and the seismic reliability of a route is intended to provide a basic methodology for identifying the critical path that should be the target of seismic protection when money and resources available for construction are limited. This methodology was used to confirm that the reliability of the water supply, the demand for water, and the cost of earthquake resistance should be considered together to establish an earthquake resistance strategy for the critical path in a water supply system. We expect that the results of this study will be used to establish detailed strategies for preliminary reinforcement against earthquake damage based on critical paths rather than all or individual pipelines in a water supply network.

ACS Style

Chan Wook Lee; Hyuk Jae Kwon; Do Guen Yoo. Seismic Reliability Assessment of Water Supply Systems Considering Critical Paths. Applied Sciences 2020, 10, 8056 .

AMA Style

Chan Wook Lee, Hyuk Jae Kwon, Do Guen Yoo. Seismic Reliability Assessment of Water Supply Systems Considering Critical Paths. Applied Sciences. 2020; 10 (22):8056.

Chicago/Turabian Style

Chan Wook Lee; Hyuk Jae Kwon; Do Guen Yoo. 2020. "Seismic Reliability Assessment of Water Supply Systems Considering Critical Paths." Applied Sciences 10, no. 22: 8056.

Preprint content
Published: 03 July 2020
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Associations between genotype and phenotype derive from four sources: direct genetic effects, indirect genetic effects from relatives, population stratification, and correlations with other variants affecting the phenotype through assortative mating. Genome-wide association studies (GWAS) of unrelated individuals have limited ability to distinguish the different sources of genotype-phenotype association, confusing interpretation of results and potentially leading to bias when those results are applied – in genetic prediction of traits, for example. With genetic data on families, the randomisation of genetic material during meiosis can be used to distinguish direct genetic effects from other sources of genotype-phenotype association. Genetic data on siblings is the most common form of genetic data on close relatives. We develop a method that takes advantage of identity-by-descent sharing between siblings to impute missing parental genotypes. Compared to no imputation, this increases the effective sample size for estimation of direct genetic effects and indirect parental effects by up to one third and one half respectively. We develop a related method for imputing missing parental genotypes when a parent-offspring pair is observed. We provide the imputation methods in a software package, SNIPar (single nucleotide imputation of parents), that also estimates genome-wide direct and indirect effects of SNPs. We apply this to a sample of 45,826 White British individuals in the UK Biobank who have at least one genotyped first degree relative. We estimate direct and indirect genetic effects for ∼5 million genome-wide SNPs for five traits. We estimate the correlation between direct genetic effects and effects estimated by standard GWAS to be 0.61 (S.E. 0.09) for years of education, 0.68 (S.E. 0.10) for neuroticism, 0.72 (S.E. 0.09) for smoking initiation, 0.87 (S.E. 0.04) for BMI, and 0.96 (S.E. 0.01) for height. These results suggest that GWAS based on unrelated individuals provides an inaccurate picture of direct genetic effects for certain human traits.

ACS Style

Alexander I. Young; Seyed Moeen Nehzati; Chanwook Lee; Stefania Benonisdottir; David Cesarini; Daniel J. Benjamin; Patrick Turley; Augustine Kong. Mendelian imputation of parental genotypes for genome-wide estimation of direct and indirect genetic effects. 2020, 1 .

AMA Style

Alexander I. Young, Seyed Moeen Nehzati, Chanwook Lee, Stefania Benonisdottir, David Cesarini, Daniel J. Benjamin, Patrick Turley, Augustine Kong. Mendelian imputation of parental genotypes for genome-wide estimation of direct and indirect genetic effects. . 2020; ():1.

Chicago/Turabian Style

Alexander I. Young; Seyed Moeen Nehzati; Chanwook Lee; Stefania Benonisdottir; David Cesarini; Daniel J. Benjamin; Patrick Turley; Augustine Kong. 2020. "Mendelian imputation of parental genotypes for genome-wide estimation of direct and indirect genetic effects." , no. : 1.

Journal article
Published: 02 June 2020 in Atmosphere
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Recently, the signs of extreme droughts, which were thought of as exceptional and unlikely, are being detected worldwide. It is necessary to prepare countermeasures against extreme droughts; however, current definitions of extreme drought are just used as only one or two indicators to represent the status or severity of a drought. More representative drought factors, which can show the status and severity that are relevant to extreme drought, need to be considered depending on the characteristics of the drought and comprehensive evaluation of various indices. Therefore, this study attempted to quantitatively define regional extreme droughts using more acceptable factors. The methodology comprises five factors that are indicative of extreme drought. The five factors are (1) duration (days), (2) number of consecutive years (years), (3) water availability, (4) return period, and (5) regional experience. The results were analyzed by applying the procedure to droughts that took place in 2014–2015 in South Korea. The results showed that the applied historical event did not enter the status of extreme drought, which is proposed in this study; however, the proposed methodology is applicable because it uses acceptable and reasonable factors to judge extreme drought, but it can also take into account the past regional experience of extreme drought.

ACS Style

Chan Wook Lee; Moo Jong Park; Do Guen Yoo. Quantitative Determination Procedures for Regional Extreme Drought Conditions: Application to Historical Drought Events in South Korea. Atmosphere 2020, 11, 581 .

AMA Style

Chan Wook Lee, Moo Jong Park, Do Guen Yoo. Quantitative Determination Procedures for Regional Extreme Drought Conditions: Application to Historical Drought Events in South Korea. Atmosphere. 2020; 11 (6):581.

Chicago/Turabian Style

Chan Wook Lee; Moo Jong Park; Do Guen Yoo. 2020. "Quantitative Determination Procedures for Regional Extreme Drought Conditions: Application to Historical Drought Events in South Korea." Atmosphere 11, no. 6: 581.

Journal article
Published: 14 April 2020 in Applied Sciences
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This study suggests a methodology for the decision of water quality measurement locations in order to identify water quality problems within a pipe network system under abnormal conditions. A water supply system conversion due to the occurrence of tank or pump problems between water supply zones was set as a possible abnormal scenario and the water flow direction sensitivity of the pipeline was quantified to estimate the water quality monitoring priority. The proposed methodology was applied to a new city, A, in South Korea, and the results are analyzed in detail and presented. The proposed methodology can be used as a method to select water quality monitoring points when establishing an operation plan for emergency link pipes. It is also expected that it can be applied in the evaluation of the adequacy of the previously established emergency link pipe operation plan.

ACS Style

Chan Wook Lee; Do Guen Yoo. Decision of Water Quality Measurement Locations for the Identification of Water Quality Problems under Emergency Link Pipe Operation. Applied Sciences 2020, 10, 2707 .

AMA Style

Chan Wook Lee, Do Guen Yoo. Decision of Water Quality Measurement Locations for the Identification of Water Quality Problems under Emergency Link Pipe Operation. Applied Sciences. 2020; 10 (8):2707.

Chicago/Turabian Style

Chan Wook Lee; Do Guen Yoo. 2020. "Decision of Water Quality Measurement Locations for the Identification of Water Quality Problems under Emergency Link Pipe Operation." Applied Sciences 10, no. 8: 2707.

Conference paper
Published: 21 September 2019 in Advances in Intelligent Systems and Computing
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In this study, hydraulic procedures that can compensate problems in conventional model are newly suggested under seismic events in water distribution networks (WDNs). Detailed procedures for estimating the serviceability of WDNs using pressure driven analysis techniques, which can quantify available water supply under abnormal condition, are proposed. The methodologies are applied to Anytown network and get the result to compare with existing method. Proposed method leaded more appropriate hydraulic analysis results in abnormal situations such as earthquakes.

ACS Style

Do Guen Yoo; Chan Wook Lee; Seong Hyun Lim; Hyeong Suk Kim. Serviceability Assessment Model Based on Pressure Driven Analysis for Water Distribution Networks Under Seismic Events. Advances in Intelligent Systems and Computing 2019, 169 -174.

AMA Style

Do Guen Yoo, Chan Wook Lee, Seong Hyun Lim, Hyeong Suk Kim. Serviceability Assessment Model Based on Pressure Driven Analysis for Water Distribution Networks Under Seismic Events. Advances in Intelligent Systems and Computing. 2019; ():169-174.

Chicago/Turabian Style

Do Guen Yoo; Chan Wook Lee; Seong Hyun Lim; Hyeong Suk Kim. 2019. "Serviceability Assessment Model Based on Pressure Driven Analysis for Water Distribution Networks Under Seismic Events." Advances in Intelligent Systems and Computing , no. : 169-174.

Other
Published: 02 August 2018
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We conducted genome-wide association study (GWAS) meta-analyses of relative caloric intake from fat, protein, carbohydrates and sugar in over 235,000 individuals. We identified 21 approximately independent lead SNPs. Relative protein intake exhibits the strongest relationships with poor health, including positive genetic associations with obesity, type 2 diabetes, and heart disease (rg ≈ 0.15 – 0.5). Relative carbohydrate and sugar intake have negative genetic correlations with waist circumference, waist-hip ratio, and neighborhood poverty (|rg| ≈ 0.1 – 0.3). Overall, our results show that the relative intake of each macronutrient has a distinct genetic architecture and pattern of genetic correlations suggestive of health implications beyond caloric content.

ACS Style

S Fleur W Meddens; Ronald De Vlaming; Peter Bowers; Casper Ap Burik; Richard Karlsson Linnér; Chanwook Lee; Aysu Okbay; Patrick Turley; Cornelius A Rietveld; Mark Alan Fontana; Mohsen Ghanbari; Fumiaki Imamura; George McMahon; Peter J Van Der Most; Voortman Trudy; Kaitlin H Wade; Emma L Anderson; Kim Ve Braun; Pauline M Emmett; Tonũ Esko; Juan R Gonzalez; Jessica C Kiefte - De Jong; Jian'an Luan; Claudia Langenberg; Taulant Muka; Susan Ring; Fernando Rivadeneira; Josje D Schoufour; Harold Snieder; Frank Ja Van Rooij; Bruce Hr Wolffenbuttel; George Davey Smith; Oscar H Franco; Nita G Forouhi; M Arfan Ikram; Andre G Uitterlinden; Jana V Van Vliet - Ostaptchouk; Nick J Wareham; David Cesarini; K Paige Harden; James J Lee; Daniel J Benjamin; Carson C Chow; Philipp D Koellinger. Genomic analysis of diet composition finds novel loci and associations with health and lifestyle. 2018, 383406 .

AMA Style

S Fleur W Meddens, Ronald De Vlaming, Peter Bowers, Casper Ap Burik, Richard Karlsson Linnér, Chanwook Lee, Aysu Okbay, Patrick Turley, Cornelius A Rietveld, Mark Alan Fontana, Mohsen Ghanbari, Fumiaki Imamura, George McMahon, Peter J Van Der Most, Voortman Trudy, Kaitlin H Wade, Emma L Anderson, Kim Ve Braun, Pauline M Emmett, Tonũ Esko, Juan R Gonzalez, Jessica C Kiefte - De Jong, Jian'an Luan, Claudia Langenberg, Taulant Muka, Susan Ring, Fernando Rivadeneira, Josje D Schoufour, Harold Snieder, Frank Ja Van Rooij, Bruce Hr Wolffenbuttel, George Davey Smith, Oscar H Franco, Nita G Forouhi, M Arfan Ikram, Andre G Uitterlinden, Jana V Van Vliet - Ostaptchouk, Nick J Wareham, David Cesarini, K Paige Harden, James J Lee, Daniel J Benjamin, Carson C Chow, Philipp D Koellinger. Genomic analysis of diet composition finds novel loci and associations with health and lifestyle. . 2018; ():383406.

Chicago/Turabian Style

S Fleur W Meddens; Ronald De Vlaming; Peter Bowers; Casper Ap Burik; Richard Karlsson Linnér; Chanwook Lee; Aysu Okbay; Patrick Turley; Cornelius A Rietveld; Mark Alan Fontana; Mohsen Ghanbari; Fumiaki Imamura; George McMahon; Peter J Van Der Most; Voortman Trudy; Kaitlin H Wade; Emma L Anderson; Kim Ve Braun; Pauline M Emmett; Tonũ Esko; Juan R Gonzalez; Jessica C Kiefte - De Jong; Jian'an Luan; Claudia Langenberg; Taulant Muka; Susan Ring; Fernando Rivadeneira; Josje D Schoufour; Harold Snieder; Frank Ja Van Rooij; Bruce Hr Wolffenbuttel; George Davey Smith; Oscar H Franco; Nita G Forouhi; M Arfan Ikram; Andre G Uitterlinden; Jana V Van Vliet - Ostaptchouk; Nick J Wareham; David Cesarini; K Paige Harden; James J Lee; Daniel J Benjamin; Carson C Chow; Philipp D Koellinger. 2018. "Genomic analysis of diet composition finds novel loci and associations with health and lifestyle." , no. : 383406.