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Estimation of Manning roughness coefficient for vegetated furrows

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Abstract

Manning’s roughness coefficient is one of the most important parameters in the design and evaluation of surface irrigation. In this study, Manning’s roughness coefficient was evaluated under two different inflow discharges (i.e., 0.29 and 0.44 L s− 1) on vegetated furrow irrigation during maize growing season. In addition, the accuracy of multilevel optimization and SIPAR-ID methods was evaluated for the estimation of Manning’s roughness coefficient and infiltration equation parameters in vegetated furrows. Spacing, length, and longitudinal slope of experimental furrows were 0.75 m, 110 m, and 1.2%, respectively. Values of the Manning’s roughness coefficient in the vegetated furrows increased as compared to its recommended values in bare furrows. On the contrary, inflow discharge had a weak inverse impact on Manning’s roughness coefficient. Roughness coefficient was the highest at downstream section (end) of the experimental furrow and its value at the middle section was higher than that of upstream section. The results also indicated that the multilevel optimization method had a good performance with average relative error (RE) about 5% for both discharges and SIPAR-ID method had an approximately proper estimation with relative error ranging from 4.6 to 15% in estimating Manning’s roughness coefficient for all irrigation events. To estimate the infiltrated volume of water into soil, the multilevel optimization method had a very good performance (RE = − 1.65 to 2.81%).

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Notes

  1. Agricultural Research Service.

  2. United States Department of Agriculture.

References

  • Abbasi F (2013) Principles of flow in surface irrigation. Iranian National Committee on. Irrigation and Drainage (IRNCID), Tehran (in Persian)

    Google Scholar 

  • Bautista E, Clemmens AJ, Strelkoff TS, Schlegel J (2009) Modern analysis of surface irrigation systems with WinSRFR. Agric Water Manag 96:1146–1154

    Article  Google Scholar 

  • Booher LJ (1976) Surface irrigation. Food and Agriculture Organization of the United Nations, Rome

    Google Scholar 

  • Chow VT (1959) Open channel hydraulics. McGraw-Hill, New York

    Google Scholar 

  • Ebrahimi NG, Kashefipour SM, Fathi-Moghaddam M, Ebrahimi K, Saneie M (2008) Experimental analysis on the effect of bed vegetation shrub on Manning’s coefficient. Iran Watershed Manag Sci Eng 2:37–42 (in Persian)

    Google Scholar 

  • Elliott RL, Walker WR (1982) Field evaluation of furrow infiltration and advance functions. Trans ASAE 25:396–400

    Article  Google Scholar 

  • Esfandiari M, Maheshwari BL (2001) Field evaluation of surface irrigation models. J Agric Eng Res 459–479

  • Etedali HR, Ebrahimian H, Abbasi F, Liaghat A (2011) Evaluating models for the estimation of furrow irrigation infiltration and roughness. Span J Agric Res 9:641–649

    Article  Google Scholar 

  • Etedali H, Liaghat A, Abbasi F (2012) Evaluation of the EVALUE model for estimating manning’s roughness in furrow irrigation. Irrig Drain 61:410–415

    Article  Google Scholar 

  • Gillies MH, Smith RJ (2005) Infiltration parameters from surface irrigation advance and run-off data. Irrig Sci 24(1):25–35

    Article  Google Scholar 

  • Gillies MH, Smith RJ (2015) SISCO: surface irrigation ssimulation, calibration and optimisation. Irrig Sci 33(5):339–355

    Article  Google Scholar 

  • Haghayeghi SA, Ansari H (2015) Conservation agriculture and its impact on hydraulics of surface irrigation methods. J Water Sustain Dev 1:81–88 (in Persian)

    Article  Google Scholar 

  • Kamali P, Ebrahimian H, Verdinejad VR (2015) Evaluation and comparison of multilevel optimization method and IPARM model to estimate infiltration parameters in furrow. Water Irrig Manag 5:43–54 (in Persian)

    Google Scholar 

  • Li Z, Zhang J (2001) Calculation of field Manning roughness coefficient. Agric Water Manag 49:153–161

    Article  Google Scholar 

  • Madsen H (2003) Parameter estimation in distributed hydrological catchment modelling using automatic calibration with multiple objectives. Adv Water Resour 26:205–216

    Article  Google Scholar 

  • Mailapalli DR, Raghuwanshi NS, Singh R, Schmitz GH, Lennartz F (2008) Spatial and temporal variation of manning’s roughness coefficient in furrow irrigation. J Irrig Drain Eng 134:185–192

    Article  Google Scholar 

  • Mayer DG, Kinghorn BP, Archer AA (2005) Differential evolution an easy and efficient evolutionary algorithm for model optimization. Agric Syst 83:315–328

    Article  Google Scholar 

  • McClymont DJ, Smith RJ (1996) Infiltration parameters from optimisation on furrow irrigation advance data. Irrig Sci 17:15–22

    Article  Google Scholar 

  • Minitab Inc (1995) The student edition of MINITAB for Windows. Addison-Wesley Publishing Co., State College

    Google Scholar 

  • Moravejalahkami B, Mostafazadeh-Fard B, Heidarpour M, Abbasi F (2009) Furrow infiltration and roughness prediction for different furrow inflow hydrographs using a zero-inertia model with a multilevel calibration approach. Biosyst Eng 103:371–381

    Article  Google Scholar 

  • Morris MR, Hussain A, Gillies MH, O’Halloran NJ (2015) Inflow rate and border irrigation performance. Agric Water Manag 155:76–86

    Article  Google Scholar 

  • Nie WB, Fei LJ, Ma XY (2014) Applied closed-end furrow irrigation optimized design based on field and simulated advance data. J Agric Sci Technol 16:395–408

    Google Scholar 

  • Rodriguez JA, Martos JC (2010) SIPAR-ID: freeware for surface irrigation parameter identification. J Environ Model Softw 25(11):1478–1488

    Google Scholar 

  • Sedaghatdoost A, Ebrahimian H (2015) Calibration of infiltration, roughness and longitudinal dispersivity coefficients in furrow fertigation using inverse modeling with a genetic algorithm. J Biosyst Eng 136:129–139

    Article  Google Scholar 

  • Sepaskhah AR, Bonder H (2002) Estimation of manning roughness coefficient for bare and vegetated furrow irrigation. J Biosyst Eng 82:351–357

    Article  Google Scholar 

  • Shabani A, Sepaskhah AR, Kamgar-Haghighi A (2012) Responses of agronomic components of rapeseed (Brassica napus L.) as influenced by deficit irrigation, water salinity and planting method. Int J Plant Prod 7:313–340

    Google Scholar 

  • Storn R, Price K (1997) Differential evolution: a simple and efficient heuristic for global optimization over continuous spaces. J Glob Optim 11:341–359

    Article  Google Scholar 

  • Strelkoff T, Katapodes ND (1977) Border irrigation hydraulics with zero-inertia. J Irrig Drain Eng 103:325–342

    Google Scholar 

  • Strelkoff TS, Clemmens AJ, El-Ansary M, Awad M (1999) Surface-irrigation evaluation models: application to level basins in Egypt. Trans Am Soc Agric Eng 42:1027–1036

    Article  Google Scholar 

  • Tabatabaei SM, Asadi R (2015) Estimation of infiltration parameters and manning roughness with SIPAR-ID software. Int J Life Sci 9:70–74

    Article  Google Scholar 

  • Trout TJ (1992) Furrow flow velocity effects on hydraulic roughness. Irrig Drain Eng 118:981–987

    Article  Google Scholar 

  • United States Department of Agriculture (USDA) (1974) Border irrigation. National Engineering Handbook. Soil Conservation Service, Washington DC, p 55

    Google Scholar 

  • Walker WR (2005) Multilevel calibration of furrow infiltration and roughness. Irrig Drain Eng 131:129–136

    Article  Google Scholar 

  • Walker WR, Skogerboe G (1987) Surface irrigation: theory and practice. Prentice-Hall, Englewood Cliffs

    Google Scholar 

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Authors and Affiliations

  1. Department of Irrigation and Reclamation Engineering, College of Agriculture and Natural Resources, University of Tehran, P. O. Box 4111, Karaj, 31587-77871, Iran

    Payam Kamali, Hamed Ebrahimian & Masoud Parsinejad

Authors
  1. Payam Kamali
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  2. Hamed Ebrahimian
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  3. Masoud Parsinejad
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Corresponding author

Correspondence to Hamed Ebrahimian.

Additional information

Communicated by M. Horace Gillies.

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Kamali, P., Ebrahimian, H. & Parsinejad, M. Estimation of Manning roughness coefficient for vegetated furrows. Irrig Sci 36, 339–348 (2018). https://doi.org/10.1007/s00271-018-0593-9

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  • DOI: https://doi.org/10.1007/s00271-018-0593-9

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