Unit hydrograph identification based on fuzzy regression analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12530-021-09380-7.pdf
Reference48 articles.
1. Azadeh A, Saberi M, Gitiforouz A (2011) An integrated simulation-based fuzzy regression-time series algorithm for electricity consumption estimation with non-stationary data. J Chin Inst Electr Eng 34(8):1047–1066. https://doi.org/10.1080/02533839.2011.576502
2. Bárdossy A, Mascellani G, Franchini M (2006) Fuzzy unit hydrograph. Water Resour Res 42(2):W02401. https://doi.org/10.1029/2004WR003751
3. Bardsley WE (2003) An alternative distribution for describing the instantaneous unit hydrograph. J Hydrol 62(1–4):375–378. https://doi.org/10.1016/0022-1694(83)90115-4
4. Bhattacharjya RK (2004) Optimal design of unit hydrographs using probability distribution and genetic algorithms. Sadhana 29(5):499–508. https://doi.org/10.1007/BF02703257
5. Bras R (1989) Hydrology: an introduction to hydrologic science Addison-Wesley series in civil engineering. Addison-Wesley
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