Skip to main content
Erschienen in: Water Resources Management 9/2013

01.07.2013

Application of Genetic Programming in Stage Hydrograph Routing of Open Channels

verfasst von: E. Fallah-Mehdipour, O. Bozorg Haddad, H. Orouji, M. A. Mariño

Erschienen in: Water Resources Management | Ausgabe 9/2013

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Routing is a technique used to simulate and predict changes in water flow along a river or channel. There are several hydraulic flow routing methods that model channel flow with high accuracy using lots of data related to channel geometry and specifications, thus making calculations very expensive. In contrast, hydrologic methods are techniques that simplify the calculation of flow conditions in a channel reach. In this paper, a stage hydrograph is modeled in simple and compound channels by genetic programming (GP) as a hydrologic method that does not depend on channel geometry and specifications, channel shape, and modeling time step. Routed hydrographs for simple and compound channels are then compared with a river analysis system model (HEC-RAS) and a coupled characteristic-dissipative-Galerkin procedure in one-dimension (CCDG-1D) as the hydraulic methods, respectively. Results show that the sum of squared differences (SSD) between a stage hydrograph by GP and modeled hydrographs by HEC-RAS and CCDG-1D methods, respectively, are not considerable in simple and compound channels. Moreover, GP is a capable tool to route an acceptable stage hydrograph even by using less geometry specification and time intervals in the detected stage. Those results indicate that the proposed GP method is effective in routing a stage hydrograph.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Literatur
Zurück zum Zitat Azamathulla HM, Ghani AA (2011) Genetic programming for predicting longitudinal dispersion coefficients in streams. Water Resour Manag 25(6):1537–1544CrossRef Azamathulla HM, Ghani AA (2011) Genetic programming for predicting longitudinal dispersion coefficients in streams. Water Resour Manag 25(6):1537–1544CrossRef
Zurück zum Zitat Azamathulla HM, Ghani AA, Leow CS, Chang CK, Zakaria NA (2011) Gene-expression programming for the development of a stage-discharge curve of the Pahang River. Water Resour Manag 25(11):2901–2916CrossRef Azamathulla HM, Ghani AA, Leow CS, Chang CK, Zakaria NA (2011) Gene-expression programming for the development of a stage-discharge curve of the Pahang River. Water Resour Manag 25(11):2901–2916CrossRef
Zurück zum Zitat Camacho LA, Lees MJ (1999) Multilinear discrete lag-cascade model for channel routing. J Hydrol 226(1–2):30–47CrossRef Camacho LA, Lees MJ (1999) Multilinear discrete lag-cascade model for channel routing. J Hydrol 226(1–2):30–47CrossRef
Zurück zum Zitat Fallah-Mehdipour E, Bozorg Haddad O, Mariño MA (2012) Real-Time operation of reservoir system by genetic programming. Water Resour Manag 26(14):4091–4103CrossRef Fallah-Mehdipour E, Bozorg Haddad O, Mariño MA (2012) Real-Time operation of reservoir system by genetic programming. Water Resour Manag 26(14):4091–4103CrossRef
Zurück zum Zitat Fallah-Mehdipour E, Bozorg Haddad O, Mariño MA (2013) Developing reservoir operational decision rule by genetic programming. J Hydroinformatics 15(1):103–119CrossRef Fallah-Mehdipour E, Bozorg Haddad O, Mariño MA (2013) Developing reservoir operational decision rule by genetic programming. J Hydroinformatics 15(1):103–119CrossRef
Zurück zum Zitat Guven A, Gunal M (2011) Genetic programming approach for prediction of local scour downstream of hydraulic structure. J Irrig Drain Eng (ASCE) 134(2):241–249CrossRef Guven A, Gunal M (2011) Genetic programming approach for prediction of local scour downstream of hydraulic structure. J Irrig Drain Eng (ASCE) 134(2):241–249CrossRef
Zurück zum Zitat Izadifar Z, Elshorbagy A (2010) Prediction of hourly actual evapotranspiration using neural network, genetic programming, and statistical models. Hydrol Process 24(23):3413–3425CrossRef Izadifar Z, Elshorbagy A (2010) Prediction of hourly actual evapotranspiration using neural network, genetic programming, and statistical models. Hydrol Process 24(23):3413–3425CrossRef
Zurück zum Zitat Khu ST, Liong S-Y, Babovic V, Madsen H, Muttil N (2001) Genetic programming and its application in real-time runoff forecasting. J Am Water Resour Assoc 37(2):439–451CrossRef Khu ST, Liong S-Y, Babovic V, Madsen H, Muttil N (2001) Genetic programming and its application in real-time runoff forecasting. J Am Water Resour Assoc 37(2):439–451CrossRef
Zurück zum Zitat Kisi O, Guven A (2010) Evapotranspiration modeling using linear genetic programming technique. J Irrig Drain Eng (ASCE) 136(10):715–723CrossRef Kisi O, Guven A (2010) Evapotranspiration modeling using linear genetic programming technique. J Irrig Drain Eng (ASCE) 136(10):715–723CrossRef
Zurück zum Zitat Kisi O, Shiri J (2011) Precipitation forecasting using wavelet-genetic programming and wavelet-neuro-fuzzy conjunction models. Water Resour Manag 25(13):3135–3152CrossRef Kisi O, Shiri J (2011) Precipitation forecasting using wavelet-genetic programming and wavelet-neuro-fuzzy conjunction models. Water Resour Manag 25(13):3135–3152CrossRef
Zurück zum Zitat Koza JR (1990) A paradigm for genetically breeding populations of computer programs to solve problems. Computer Science Department, Stanford University, Stanford Koza JR (1990) A paradigm for genetically breeding populations of computer programs to solve problems. Computer Science Department, Stanford University, Stanford
Zurück zum Zitat Moghaddam MA, Firoozi B (2011) Development of dynamic flood wave routing in natural rivers through implicit numerical method. Am J Sci Res 14:6–17 Moghaddam MA, Firoozi B (2011) Development of dynamic flood wave routing in natural rivers through implicit numerical method. Am J Sci Res 14:6–17
Zurück zum Zitat Orouji H, Bozorg Haddad O, Fallah-Mehdipour E, Marino MA (2013a) Estimation of Muskingum parameter by meta-heuristic algorithms. Proc Inst Civ Eng Water Manag 166(1):1–10. doi:10.1680/wama.11.00068, In Press Orouji H, Bozorg Haddad O, Fallah-Mehdipour E, Marino MA (2013a) Estimation of Muskingum parameter by meta-heuristic algorithms. Proc Inst Civ Eng Water Manag 166(1):1–10. doi:10.​1680/​wama.​11.​00068, In Press
Zurück zum Zitat Orouji H, Bozorg Haddad O, Fallah-Mehdipour E, and Mariño MA (2013b) Flood routing in branched river by genetic programming. Proc Inst Civ Eng Water Manag, In Press Orouji H, Bozorg Haddad O, Fallah-Mehdipour E, and Mariño MA (2013b) Flood routing in branched river by genetic programming. Proc Inst Civ Eng Water Manag, In Press
Zurück zum Zitat Perumal M (1992) Multilinear Muskingum flood routing method. J Hydrol 133(3–4):259–272CrossRef Perumal M (1992) Multilinear Muskingum flood routing method. J Hydrol 133(3–4):259–272CrossRef
Zurück zum Zitat Perumal M (1994) Multilinear discrete cascade model for channel routing. J Hydrol 158(1–2):135–150CrossRef Perumal M (1994) Multilinear discrete cascade model for channel routing. J Hydrol 158(1–2):135–150CrossRef
Zurück zum Zitat Perumal M, Ranga Raju KG (1998a) Variable-parameter stage hydrograph routing method. I: theory. J Hydrol Eng (ASCE) 3(2):109–114CrossRef Perumal M, Ranga Raju KG (1998a) Variable-parameter stage hydrograph routing method. I: theory. J Hydrol Eng (ASCE) 3(2):109–114CrossRef
Zurück zum Zitat Perumal M, Ranga Raju KG (1998b) Variable-parameter stage hydrograph routing method. II: evaluation. J Hydrol Eng (ASCE) 3(2):115–121CrossRef Perumal M, Ranga Raju KG (1998b) Variable-parameter stage hydrograph routing method. II: evaluation. J Hydrol Eng (ASCE) 3(2):115–121CrossRef
Zurück zum Zitat Perumal M, Sahoo B, Moramarco T, Barbetta S (2009) Multilinear Muskingum method for stage-hydrograph routing in compound channels. J Hydrol Eng (ASCE) 14(7):663–670CrossRef Perumal M, Sahoo B, Moramarco T, Barbetta S (2009) Multilinear Muskingum method for stage-hydrograph routing in compound channels. J Hydrol Eng (ASCE) 14(7):663–670CrossRef
Zurück zum Zitat Rabunal JR, Puertas J, Suarez J, Rivero D (2007) Determination of the unit hydrograph of a typical urban basin genetic programming and artificial neural networks. Hydrol Process 21(4):476–485CrossRef Rabunal JR, Puertas J, Suarez J, Rivero D (2007) Determination of the unit hydrograph of a typical urban basin genetic programming and artificial neural networks. Hydrol Process 21(4):476–485CrossRef
Zurück zum Zitat Samani HMV, Jebelifard S (2003) Design of circular urban storm sewer systems using multilinear Muskingum flow routing method. J Hydraul Eng 129(11):832–838CrossRef Samani HMV, Jebelifard S (2003) Design of circular urban storm sewer systems using multilinear Muskingum flow routing method. J Hydraul Eng 129(11):832–838CrossRef
Zurück zum Zitat Savic DA, Walters GA, Davidson JW (1999) A genetic programming approach to rainfall-runoff modeling. Water Resour Manag 13(3):219–231CrossRef Savic DA, Walters GA, Davidson JW (1999) A genetic programming approach to rainfall-runoff modeling. Water Resour Manag 13(3):219–231CrossRef
Zurück zum Zitat Sivapragasam C, Maheswaran R, Venkatesh V (2008) Genetic programming approach for flood routing in natural channels. Hydrol Process 22(5):623–628CrossRef Sivapragasam C, Maheswaran R, Venkatesh V (2008) Genetic programming approach for flood routing in natural channels. Hydrol Process 22(5):623–628CrossRef
Zurück zum Zitat Sreekanth J, Datta B (2011) Comparative evaluation of genetic programming and neural network as potential surrogate models for coastal aquifer management. Water Resour Manag 25(13):3201–3218CrossRef Sreekanth J, Datta B (2011) Comparative evaluation of genetic programming and neural network as potential surrogate models for coastal aquifer management. Water Resour Manag 25(13):3201–3218CrossRef
Zurück zum Zitat Tuitoek DK, Hicks FE (2001) Modeling of unsteady flow in compound channels. J Civ Eng JKUAT 6:45–54 Tuitoek DK, Hicks FE (2001) Modeling of unsteady flow in compound channels. J Civ Eng JKUAT 6:45–54
Zurück zum Zitat Wang WC, Chau KW, Cheng CT, Qiu L (2009) A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series. J Hydrol 374(3–4):294–306CrossRef Wang WC, Chau KW, Cheng CT, Qiu L (2009) A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series. J Hydrol 374(3–4):294–306CrossRef
Metadaten
Titel
Application of Genetic Programming in Stage Hydrograph Routing of Open Channels
verfasst von
E. Fallah-Mehdipour
O. Bozorg Haddad
H. Orouji
M. A. Mariño
Publikationsdatum
01.07.2013
Verlag
Springer Netherlands
Erschienen in
Water Resources Management / Ausgabe 9/2013
Print ISSN: 0920-4741
Elektronische ISSN: 1573-1650
DOI
https://doi.org/10.1007/s11269-013-0345-9

Weitere Artikel der Ausgabe 9/2013

Water Resources Management 9/2013 Zur Ausgabe