Deriving the relationship among discharge, biomass and Manning's coefficient through a calibration approach
The subject of environmental engineering is currently of great interest. Field experiments as well as numerical models have proven their worth in this research field. An introduction to hydrodynamic modelling, coupled to the modelling of vegetation biomass is described. The developed Strive (STream...
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| Published in | Hydrological processes Vol. 25; no. 12; pp. 1979 - 1995 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
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Chichester, UK
John Wiley & Sons, Ltd
15.06.2011
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| Abstract | The subject of environmental engineering is currently of great interest. Field experiments as well as numerical models have proven their worth in this research field. An introduction to hydrodynamic modelling, coupled to the modelling of vegetation biomass is described. The developed Strive (STream RIVer Ecosystem) model is set up in the Femme (‘Flexible Environment for Mathematically Modelling the Environment’) environment and has already proven its worth in a large number of calculations (De Doncker et al., 2006, 2008b). Discharges and water levels are modelled together with modelling of electrical conductivity (EC). Extensive measurement campaigns are carried out to collect a large number of observations and calibration of the model is based on this data set. Furthermore, calibration methods and the discussion of this process are displayed. As a result, it is seen that the developed Strive model can model both, hydrodynamic and ecological processes, in an accurate way. The work highlights the importance of detailed determination of Manning's coefficient, dependent on discharge and amount of biomass, as an important calibration parameter for accurate modelling. Copyright © 2011 John Wiley & Sons, Ltd. |
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| AbstractList | The subject of environmental engineering is currently of great interest. Field experiments as well as numerical models have proven their worth in this research field. An introduction to hydrodynamic modelling, coupled to the modelling of vegetation biomass is described. The developed Strive (STream RIVer Ecosystem) model is set up in the Femme (‘Flexible Environment for Mathematically Modelling the Environment’) environment and has already proven its worth in a large number of calculations (De Doncker et al., 2006, 2008b). Discharges and water levels are modelled together with modelling of electrical conductivity (EC). Extensive measurement campaigns are carried out to collect a large number of observations and calibration of the model is based on this data set. Furthermore, calibration methods and the discussion of this process are displayed. As a result, it is seen that the developed Strive model can model both, hydrodynamic and ecological processes, in an accurate way. The work highlights the importance of detailed determination of Manning's coefficient, dependent on discharge and amount of biomass, as an important calibration parameter for accurate modelling. Copyright © 2011 John Wiley & Sons, Ltd. Abstract The subject of environmental engineering is currently of great interest. Field experiments as well as numerical models have proven their worth in this research field. An introduction to hydrodynamic modelling, coupled to the modelling of vegetation biomass is described. The developed Strive (STream RIVer Ecosystem) model is set up in the Femme (‘Flexible Environment for Mathematically Modelling the Environment’) environment and has already proven its worth in a large number of calculations (De Doncker et al. , 2006 , 2008b ). Discharges and water levels are modelled together with modelling of electrical conductivity (EC). Extensive measurement campaigns are carried out to collect a large number of observations and calibration of the model is based on this data set. Furthermore, calibration methods and the discussion of this process are displayed. As a result, it is seen that the developed Strive model can model both, hydrodynamic and ecological processes, in an accurate way. The work highlights the importance of detailed determination of Manning's coefficient, dependent on discharge and amount of biomass, as an important calibration parameter for accurate modelling. Copyright © 2011 John Wiley & Sons, Ltd. The subject of environmental engineering is currently of great interest. Field experiments as well as numerical models have proven their worth in this research field. An introduction to hydrodynamic modelling, coupled to the modelling of vegetation biomass is described. The developed Strive (STream RIVer Ecosystem) model is set up in the Femme ('Flexible Environment for Mathematically Modelling the Environment') environment and has already proven its worth in a large number of calculations (De Doncker et al., 2006, 2008b). Discharges and water levels are modelled together with modelling of electrical conductivity (EC). Extensive measurement campaigns are carried out to collect a large number of observations and calibration of the model is based on this data set. Furthermore, calibration methods and the discussion of this process are displayed. As a result, it is seen that the developed Strive model can model both, hydrodynamic and ecological processes, in an accurate way. The work highlights the importance of detailed determination of Manning's coefficient, dependent on discharge and amount of biomass, as an important calibration parameter for accurate modelling. |
| Author | Buis, K. Verhoeven, R. Troch, P. De Doncker, L. |
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(e_1_2_6_9_1) 1959 Hicks D (e_1_2_6_25_1) 1998 e_1_2_6_8_1 Desmet N (e_1_2_6_18_1) 2008 e_1_2_6_5_1 e_1_2_6_4_1 De Doncker L (e_1_2_6_17_1) 2010 e_1_2_6_7_1 e_1_2_6_6_1 e_1_2_6_24_1 e_1_2_6_3_1 e_1_2_6_23_1 e_1_2_6_2_1 e_1_2_6_29_1 e_1_2_6_28_1 e_1_2_6_27_1 e_1_2_6_26_1 Navidi W. (e_1_2_6_36_1) 2010 |
| References_xml | – start-page: 1 year: 2007 end-page: 4 – volume: 336 start-page: 334 issue: 3–4 year: 2007 end-page: 346 article-title: Development and testing of a simple physically‐based distributed rainfall‐runoff model for storm runoff simulation in humid forested basins publication-title: Journal of Hydrology – volume: 25 start-page: 1287 issue: 10 year: 2009b end-page: 1303 article-title: Relation between resistance characteristics due to aquatic weed growth and the hydraulic capacity of the river Aa publication-title: River Research and Application – year: 2009 – volume: 37 start-page: 473 issue: 7 year: 1956 end-page: 475 article-title: Estimating hydraulic roughness coefficients publication-title: Agricultural Engineering – volume: 151 start-page: 177 issue: 2–3 year: 2002 end-page: 193 publication-title: Ecological Modelling – start-page: 331 year: 2008b end-page: 340 – volume: 348 start-page: 203 issue: 1324 year: 1995 end-page: 209 article-title: The use of optimization 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ident: e_1_2_6_13_1 doi: 10.1016/j.flowmeasinst.2007.08.007 – ident: e_1_2_6_28_1 doi: 10.1016/j.jhydrol.2007.01.015 – ident: e_1_2_6_21_1 doi: 10.1016/j.advwatres.2005.05.010 – volume-title: Practical Channel Hydraulics: Roughness, Conveyance and Afflux year: 2010 ident: e_1_2_6_30_1 contributor: fullname: Knight D – ident: e_1_2_6_19_1 doi: 10.1098/rstb.1995.0062 – ident: e_1_2_6_16_1 doi: 10.1002/rra.1240 – volume-title: Open Channel Hydraulics year: 1959 ident: e_1_2_6_9_1 contributor: fullname: Chow VT. – start-page: 77 issue: 32 year: 1994 ident: e_1_2_6_32_1 article-title: An inexpensive and lightweight sampler for the rapid collection of aquatic macrophytes publication-title: Journal of Aquatic Plant Management contributor: fullname: Marshall T – ident: e_1_2_6_29_1 doi: 10.1023/A:1015822011358 – volume-title: Applied Hydrology year: 1988 ident: e_1_2_6_10_1 contributor: fullname: Chow VT – ident: e_1_2_6_23_1 doi: 10.1016/S0955-5986(02)00047-X – ident: e_1_2_6_14_1 doi: 10.2495/AFM080321 – ident: e_1_2_6_39_1 – ident: e_1_2_6_7_1 – ident: e_1_2_6_8_1 doi: 10.1023/A:1017517303221 – ident: e_1_2_6_4_1 – ident: e_1_2_6_33_1 doi: 10.1111/j.1753-318X.2008.00004.x – ident: e_1_2_6_35_1 doi: 10.1080/00221686.2008.9521855 – ident: e_1_2_6_38_1 doi: 10.1016/S0304-3800(01)00469-0 – ident: e_1_2_6_5_1 – ident: e_1_2_6_2_1 – ident: e_1_2_6_34_1 doi: 10.1680/wama.2009.162.6.353 – ident: e_1_2_6_27_1 – ident: e_1_2_6_24_1 – volume-title: Hydrometry: Principles and Practices year: 1978 ident: e_1_2_6_22_1 contributor: fullname: Herschy R. – ident: e_1_2_6_37_1 doi: 10.1016/j.jhydrol.2004.06.036 – volume-title: Roughness Characteristics of New Zealand Rivers year: 1998 ident: e_1_2_6_25_1 contributor: fullname: Hicks D – ident: e_1_2_6_6_1 – ident: e_1_2_6_31_1 doi: 10.1016/j.jmarsys.2008.01.002 – volume: 37 start-page: 473 issue: 7 year: 1956 ident: e_1_2_6_11_1 article-title: Estimating hydraulic roughness coefficients publication-title: Agricultural Engineering contributor: fullname: Cowan W. – ident: e_1_2_6_12_1 – volume-title: Statistics for Engineers and Scientists year: 2010 ident: e_1_2_6_36_1 contributor: fullname: Navidi W. |
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| Title | Deriving the relationship among discharge, biomass and Manning's coefficient through a calibration approach |
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