Pressure Sampling Design for Estimating Nodal Water Demand in Water Distribution Systems
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11269-024-03736-9.pdf
Reference32 articles.
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2. Behzadian K, Kapelan Z, Savic D, Ardeshir A (2009) Stochastic sampling design using a multi-objective genetic algorithm and adaptive neural networks. Environ Model Softw 24(4):530–541. https://doi.org/10.1016/j.envsoft.2008.09.013
3. Bush CA, Uber JG (1998) Sampling design methods for water distribution model calibration. J Water Resour Plan Manag 124(6):334–344. https://doi.org/10.1061/(ASCE)0733-9496(1998)124:6(334)
4. Carrera J, Usunoff E, Szidarovszky F (1984) A method for optimal observation network design for groundwater management. J Hydrol 73(1–2):147–163. https://doi.org/10.1016/0022-1694(84)90037-4
5. Chu SP, Zhang TQ, Zhou XH, Yu TC, Shao Y (2022) An efficient approach for nodal water demand estimation in large-scale water distribution systems. Water Resour Manag 36(2):491–505. https://doi.org/10.1007/s11269-021-03024-w
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