Automatic setting of urban drainage pipe monitoring points based on scenario simulation and fuzzy clustering

References

• Berne, A., G. Delrieu, J. Creutin, and C. Obled. 2004. “Temporal and Spatial Resolution of Rainfall Measurements Required for Urban Hydrology.” Journal of Hydrology 299 (3–4): 166–179. doi:10.1016/j.jhydrol.2004.08.002.
   Web of Science ®Google Scholar
• Bui, C. G., and T. A. Duong. 2016. Improving SPRING Method in Similarity Search over Time-Series Streams by Data Normalization. In Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering, edited by P. C. Vinh and L. Barolli. 168, pp. 189–202). (Reprinted). doi:10.1007/978-3-319-46909-6_18.
   Google Scholar
• Campisano, A., F. V. Catania, and C. Modica. 2017. “Evaluating the SWMM LID Editor Rain Barrel Option for the Estimation of Retention Potential of Rainwater Harvesting Systems.” Urban Water Journal 14 (8): 876–881. doi:10.1080/1573062X.2016.1254259.
   Web of Science ®Google Scholar
• Campisano, A., J. Cabot Ple, D. Muschalla, M. Pleau, and P. A. Vanrolleghem. 2013. “Potential and Limitations of Modern Equipment for Real Time Control of Urban Wastewater Systems.” Urban Water Journal 10 (5): 300–311. doi:10.1080/1573062X.2013.763996.
   Web of Science ®Google Scholar
• Cheam, A. S. M., M. Marbac, and P. D. McNicholas. 2017. “Model-Based Clustering for Spatiotemporal Data on Air Quality Monitoring.” Environmetrics 28 (3): e2437. doi:10.1002/env.2437.
   Web of Science ®Google Scholar
• Chen, Y., H. W. Samuelson, and Z. Tong. 2016. “Integrated Design Workflow and a New Tool for Urban Rainwater Management.” Journal of Environmental Management 180: 45–51. doi:10.1016/j.jenvman.2016.04.059.
   PubMed Web of Science ®Google Scholar
• Chung, C., C. Lin, I. L. Wu, P. Chen, and T. Tsay. 2013. “New TDR Waveguides and Data Reduction Method for Monitoring of Stream and Drainage Stage.” Journal of Hydrology 505: 346–351. doi:10.1016/j.jhydrol.2013.09.050.
   Web of Science ®Google Scholar
• D’Urso, P., E. A. Maharaj, and A. M. Alonso. 2017. “Fuzzy Clustering of Time Series Using Extremes.” Fuzzy Sets and Systems 318: 56–79. doi:10.1016/j.fss.2016.10.006.
   Web of Science ®Google Scholar
• de Macedo, M. B., A. Rosa, C. A. F. Do Lago, E. M. Mendiondo, and V. C. B. de Souza. 2017. “Learning from the Operation, Pathology and Maintenance of a Bioretention System to Optimize Urban Drainage Practices.” Journal of Environmental Management 204: 454–466. doi:10.1016/j.jenvman.2017.08.023.
   PubMed Web of Science ®Google Scholar
• Fattoruso, G., A. Agresta, G. Guarnieri, B. Lanza, A. Buonanno, M. Molinara, C. Marrocco, S.D. Vito, F. Francesco Tortorella, and G.D. Francia. 2015. “Optimal sensors placement for flood forecasting modelling” 13th Computer Control for Water Industry Conference, CCWI 2015 (http://creativecommons.org/licenses/by-nc-nd/4.0/)
   Google Scholar
• Gülbaz, S., and C. M. Kazezyılmaz-Alhan. 2017. “Hydrological Model of LID with Rainfall-Watershed-Bioretention System.” Water Resource Management 31 (6): 1931–1946. doi:10.1007/s11269-017-1622-9.
   Web of Science ®Google Scholar
• Huber, W. C., L. A. Rossman, and R. E. Dickinson 2006. “Watershed Models.” EPA storm water management model, SWMM5. 339–359.
   Google Scholar
• Jackisch, N., and M. Weiler. 2017. “The Hydrologic Outcome of a Low Impact Development (LID) Site Including Superposition with Streamflow Peaks.” Urban Water Journal 14 (2): 143–159. doi:10.1080/1573062X.2015.1080735.
   Web of Science ®Google Scholar
• Jia, H., S. L. Yu, and H. Qin. 2017. “Low Impact Development and Sponge City Construction for Urban Stormwater Management.” Frontiers of Environmental Science and Engineering 11: 204. doi:10.1007/s11783-017-0989-4.
   Web of Science ®Google Scholar
• Jingdong, Y. 2010. “Research on Hydraulic Modeling and Optimization of Monitoring Points of Urban Drainage System.” Master diss., Hunan University.
   Google Scholar
• Ladino, A., A. Y. Kibangou, C. Canudas De Wit, and H. Fourati. 2017. “A Real Time Forecasting Tool for Dynamic Travel Time from Clustered Time Series.” Transportation Research Part C: Emerging Technologies 80: 216–238. doi:10.1016/j.trc.2017.05.002.
   Web of Science ®Google Scholar
• Lee, E., Y. Lee, J. Joo, D. Jung, and J. Kim. 2016. “Flood Reduction in Urban Drainage Systems: Cooperative Operation of Centralized and Decentralized Reservoirs.” Water 8 (10): 469. doi:10.3390/w8100469.
   Web of Science ®Google Scholar
• Li, H., L. Ding, M. Ren, C. Li, and H. Wang. 2017. “Sponge City Construction in China: A Survey of the Challenges and Opportunities.” Water 9: 5949. doi:10.3390/w9090594.
   Web of Science ®Google Scholar
• Liao, Z. L., Y. He, F. Huang, S. Wang, and H. Z. Li. 2013. “Analysis on LID for Highly Urbanized Areas’ Waterlogging Control: Demonstrated on the Example of Caohejing in Shanghai.” Water Science and Technology 68 (12): 2559. doi:10.2166/wst.2013.523.
   PubMed Web of Science ®Google Scholar
• Luan, Q., X. Fu, C. Song, H. Wang, J. Liu, and Y. Wang. 2017. “Runoff Effect Evaluation of LID through SWMM in Typical Mountainous, Low-Lying Urban Areas: A Case Study in China.” Water 9 (6): 439. doi:10.3390/w9060439.
   Web of Science ®Google Scholar
• Martínez Ibarra, E. 2012. “A Geographical Approach to Post-Flood Analysis: The Extreme Flood Event of 12 October 2007 in Calpe (Spain).” Applied Geography 32 (2): 490–500. doi:10.1016/j.apgeog.2011.06.003.
   Web of Science ®Google Scholar
• O’Sullivan, A. D., D. Wicke, T. J. Hengen, H. L. Sieverding, and J. J. Stone. 2015. “Life Cycle Assessment Modelling of Stormwater Treatment Systems.” Journal Environmental Management 149: 236–244. doi:10.1016/j.jenvman.2014.10.025.
   PubMed Web of Science ®Google Scholar
• Ouyang, H., H. Yu, C. Lu, and Y. Luo. 2008. “Design Optimization of River Sampling Network Using Genetic Algorithms.” Journal of Water Resources Planning and Management 134 (1): 83–87. doi:10.1061/(ASCE)0733-9496(2008)134:1(83).
   Web of Science ®Google Scholar
• Ouyang, R., L. Ren, W. Cheng, and C. Zhou. 2010. “Similarity Search and Pattern Discovery in Hydrological Time Series Data Mining.” Hydrological Process 24 (9): 1198–1210. doi:10.1002/hyp.7583.
   Web of Science ®Google Scholar
• Pochwat, K., D. Slys, and S. Kordana. 2017. “The Temporal Variability of a Rainfall Synthetic Hyetograph for the Dimensioning of Stormwater Retention Tanks in Small Urban Catchments.” Journal of Hydrology 549: 501–511. doi:10.1016/j.jhydrol.2017.04.026.
   Web of Science ®Google Scholar
• Poduje, A.C.C., and U. Haberlandt. 2017. “Short time step continuous rainfall modeling and simulation of extreme events” Journal of Hydrology 552 (2017):182–197. doi:http://dx.doi.org/10.1016/j.jhydrol.2017.06.036
   Google Scholar
• Popivanov, I., and R. J. Miller 2002. “Similarity Search over Time-Series Data Using Wavelets.” Paper presented at the IEEE International Conference on Data Engineering, San Jose, February 26–March 1.
   Google Scholar
• Rathi, S., R. Gupta, S. Kamble, and A. Sargaonkar. 2016. “Risk Based Analysis for Contamination Event Selection and Optimal Sensor Placement for Intermittent Water Distribution Network Security.” Water Resources Management 30 (8): 2671–2685. doi:10.1007/s11269-016-1309-7.
   Web of Science ®Google Scholar
• Recanatesi, F., A. Petroselli, M. N. Ripa, and A. Leone. 2017. “Assessment of Stormwater Runoff Management Practices and BMPs under Soil Sealing: A Study Case in A Peri-Urban Watershed of the Metropolitan Area of Rome (Italy).” Journal of Environmental Management 201: 6–18. doi:10.1016/j.jenvman.2017.06.024.
   PubMed Web of Science ®Google Scholar
• Rodríguez, J. P., N. Mclntyre, M. Díaz-Granados, J. P. Quijano, and Č. Maksimović. 2013. “Monitoring and modelling to support wastewater system management in developing mega-cities.” Science of Total Environment 445 (446): 79–93. doi: http://dx.doi.org/10.1016/j.scitotenv.2012.12.022.
   Google Scholar
• Schutze, M., A. Campisano, H. Colas, W. Schilling, and P. A. Vanrolleghem. 2004. “Real Time Control of Urban Wastewater Systems - Where Do We Stand Today?” Journal of Hydrology 299 (3–4): 335–348. doi:10.1016/j.jhydrol.2004.08.010.
   Web of Science ®Google Scholar
• Shao, W., H. Zhang, J. Liu, G. Yang, X. Chen, Z. Yang, and H. Huang. 2016. “Data Integration and Its Application in the Sponge City Construction of CHINA.” Procedia Engineering 154: 779–786. doi:10.1016/j.proeng.2016.07.583.
   Google Scholar
• Skotnicki, M., and M. Sowiński. 2015. “The Influence of Depression Storage on Runoff from Impervious Surface of Urban Catchment.” Urban Water Journal 12 (3): 207–218. doi:10.1080/1573062X.2013.839717.
   Web of Science ®Google Scholar
• Strobl, R. O., and P. D. Robillard. 2008. “Network Design for Water Quality Monitoring of Surface Freshwaters: A Review.” Journal of Environmental Management 87 (4): 639–648. doi:10.1016/j.jenvman.2007.03.001.
   PubMed Web of Science ®Google Scholar
• Wu, X., Z. Wang, S. Guo, W. Liao, Z. Zeng, and X. Chen. 2017. “Scenario-Based Projections of Future Urban Inundation within A Coupled Hydrodynamic Model Framework: A Case Study in Dongguan City, China.” Journal of Hydrology 547: 428–442. doi:10.1016/j.jhydrol.2017.02.020.
   Web of Science ®Google Scholar
• Yazdi, J. 2018. “Water Quality Monitoring Network Design for Urban Drainage Systems, an Entropy Method.” Urban Water Journal 15 (3): 227. doi:10.1080/1573062X.2018.1424215.
   Web of Science ®Google Scholar