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Journal articles on the topic 'Calibration of hydraulic models'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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1

Zimoch, Izabela, and Ewelina Bartkiewicz. "Process of hydraulic models calibration." E3S Web of Conferences 59 (2018): 00007. http://dx.doi.org/10.1051/e3sconf/20185900007.

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Mathematical modelling of the water supply systems (WSS) and water quality changes in the system is a complex and difficult task to solve, it requires an interdisciplinary approach to considering the determinants of WSS work. Prognosis models of the WSS in relation to hydraulic quantities are well known and there are many packages that implement these models. These packages allow you to calculate the flow and pressure in the water distribution system under certain operating conditions. However, to make a hydraulic model a useful tool in the management of water supply systems, a calibration pro

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Berardi, L., and O. Giustolisi. "Calibration of Design Models for Leakage Management of Water Distribution Networks." Water Resources Management 35, no. 8 (2021): 2537–51. http://dx.doi.org/10.1007/s11269-021-02847-x.

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AbstractWater losses in urban water distribution networks (WDN) accelerate the deterioration of such infrastructures. The enhanced hydraulic modelling provides a phenomenological representation of WDN hydraulics, including the modelling of leakages as function of pipe average pressure and deterioration. The methodological use of such models on real WDN was demonstrated to support the planning of leakage management actions. Nonetheless, many water utilities are still in the process of designing flow/pressure monitoring, thus data available are not enough to perform detailed calibration of such

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Zio, Souleymane, and Fernando A. Rochinha. "DATA-DRIVEN CALIBRATION OF P3D HYDRAULIC FRACTURING MODELS." International Journal for Uncertainty Quantification 10, no. 4 (2020): 375–98. http://dx.doi.org/10.1615/int.j.uncertaintyquantification.2020033602.

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4

Fabio, P., G. T. Aronica, and H. Apel. "Towards automatic calibration of 2-dimensional flood propagation models." Hydrology and Earth System Sciences Discussions 6, no. 6 (2009): 6833–64. http://dx.doi.org/10.5194/hessd-6-6833-2009.

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Abstract. Hydraulic models for flood propagation description are an essential tool in many fields, e.g. civil engineering, flood hazard and risk assessments, evaluation of flood control measures, etc. Nowadays there are many models of different complexity regarding the mathematical foundation and spatial dimensions available, and most of them are comparatively easy to operate due to sophisticated tools for model setup and control. However, the calibration of these models is still underdeveloped in contrast to other models like e.g. hydrological models or models used in ecosystem analysis. This

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Zanfei, Ariele, Andrea Menapace, Simone Santopietro, and Maurizio Righetti. "Calibration Procedure for Water Distribution Systems: Comparison among Hydraulic Models." Water 12, no. 5 (2020): 1421. http://dx.doi.org/10.3390/w12051421.

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Proper hydraulic simulation models, which are fundamental to analyse a water distribution system, require a calibration procedure. This paper proposes a multi-objective procedure to calibrate water demands and pipe roughness distribution in the context of an ill-posed problem, where the number of measurements is smaller than the number of variables. The proposed methodology consists of a two-steps procedure based on a genetic algorithm. Firstly, several runs of the calibrator are performed and the corresponding pressure and flow-rates values are averaged to overcome the non-uniqueness of the s

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Fabio, P., G. T. Aronica, and H. Apel. "Towards automatic calibration of 2-D flood propagation models." Hydrology and Earth System Sciences 14, no. 6 (2010): 911–24. http://dx.doi.org/10.5194/hess-14-911-2010.

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Abstract. Hydraulic models for flood propagation description are an essential tool in many fields and are used, for example, for flood hazard and risk assessments, evaluation of flood control measures, etc. Nowadays there are many models of different complexity regarding the mathematical foundation and spatial dimensions available, and most of them are comparatively easy to operate due to sophisticated tools for model setup and control. However, the calibration of these models is still underdeveloped in contrast to other models like e.g. hydrological models or models used in ecosystem analysis

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Vidal, Jean-Philippe, Sabine Moisan, Jean-Baptiste Faure, and Denis Dartus. "Towards a reasoned 1D river model calibration." Journal of Hydroinformatics 7, no. 2 (2005): 91–104. http://dx.doi.org/10.2166/hydro.2005.0009.

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Model calibration remains a critical step in numerical modelling. After many attempts to automate this task in water-related domains, questions about the actual need for calibrating physics-based models are still open. This paper proposes a framework for good model calibration practice for end-users of 1D hydraulic simulation codes. This framework includes a formalisation of objects used in 1D river hydraulics along with a generic conceptual description of the model calibration process. It was implemented within a knowledge-based system integrating a simulation code and expert knowledge about

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Primin, Oleg A., and Grigory N. Gromov. "YDRAULIC CALCULATIONS IMPROVEMENT OF WATER SUPPLY SYSTEMS BY USING ELECRONIC MODELS." International Journal for Computational Civil and Structural Engineering 14, no. 2 (2018): 141–48. http://dx.doi.org/10.22337/2587-9618-2018-14-2-141-148.

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Development of hydraulic model is regulated according to Russian legislation acts. However, these legislation acts do not contain explanations regarding the methodology and detail level of hydraulic model, as well as requirements for sufficient level of model calibration. This paper presents hydraulic model implementation methodology for water supply systems

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Ormsbee, Lindell E., and Srinivasa Lingireddy. "Calibrating hydraulic network models." Journal - American Water Works Association 89, no. 2 (1997): 42–50. http://dx.doi.org/10.1002/j.1551-8833.1997.tb08177.x.

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10

Sun, Wenchao, Xiaolei Yao, Na Cao, Zongxue Xu, and Jingshan Yu. "Integration of soil hydraulic characteristics derived from pedotransfer functions into hydrological models: evaluation of its effects on simulation uncertainty." Hydrology Research 47, no. 5 (2016): 964–78. http://dx.doi.org/10.2166/nh.2016.150.

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Aimed at reducing simulation uncertainty of hydrological models in data-sparse basins where soil hydraulic data are unavailable, a method of estimating soil water parameters of soil and water assessment tool (SWAT) from readily available soil information using pedotransfer functions was introduced. The method was evaluated through a case study of Jinjiang Basin, China and was performed based on comparison between two model calibrations: (1) soil parameters estimated from pedotransfer functions and other parameters obtained from calibration; and (2) all parameters derived from calibration. The

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Giustolisi, O., and L. Berardi. "Water distribution network calibration using enhanced GGA and topological analysis." Journal of Hydroinformatics 13, no. 4 (2010): 621–41. http://dx.doi.org/10.2166/hydro.2010.088.

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The calibration of hydraulic models of water distribution networks (WDN) is of preeminent importance for their analysis and management. It is usually achieved by solving a constrained optimization problem based on some priors on decision variables and the demand-driven simulation of the entire network, given the observations of some hydraulic status variables (i.e. typically nodal heads and sometimes pipe flows). This paper presents a framework to perform the calibration of pipe hydraulic resistances considering two main issues: (i) the enhancements of WDN simulation models allowing us to simp

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Lamouroux, Nicolas, and Ian G. Jowett. "Generalized instream habitat models." Canadian Journal of Fisheries and Aquatic Sciences 62, no. 1 (2005): 7–14. http://dx.doi.org/10.1139/f04-163.

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Conventional instream habitat models (e.g., the physical habitat simulation system) predict the impact of regulation on the habitats of freshwater taxa. They link a hydraulic model with microhabitat-suitability models for taxa to predict habitat values at various discharge rates. Their use requires considerable field effort and experience. Recent analyses performed in France suggested that comparable results could be achieved using simplified hydraulic data. We tested this approach for 99 stream reaches and nine aquatic taxa in New Zealand. The resulting generalized habitat models predict habi

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Kapelan, Zoran S., Dragan A. Savic, and Godfrey A. Walters. "Calibration of Water Distribution Hydraulic Models Using a Bayesian-Type Procedure." Journal of Hydraulic Engineering 133, no. 8 (2007): 927–36. http://dx.doi.org/10.1061/(asce)0733-9429(2007)133:8(927).

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14

Barlebo, Heidi Christiansen, Mary C. Hill, Dan Rosbjerg, and Karsten Høgh Jensen. "Concentration Data and Dimensionality in Groundwater Models: Evaluation Using Inverse Modelling." Hydrology Research 29, no. 3 (1998): 149–78. http://dx.doi.org/10.2166/nh.1998.0009.

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A three-dimensional inverse groundwater flow and transport model that fits hydraulic-head and concentration data simultaneously using nonlinear regression is presented and applied to a layered sand and silt groundwater system beneath the Grindsted Landfill in Denmark. The aquifer is composed of rather homogeneous hydrogeologic layers. Two issues common to groundwater flow and transport modelling are investigated: 1) The accuracy of simulated concentrations in the case of calibration with head data alone; and 2) The advantages and disadvantages of using a two-dimensional cross-sectional model i

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Christensen, Nikolaj Kruse, Steen Christensen, and Ty Paul A. Ferre. "Testing alternative uses of electromagnetic data to reduce the prediction error of groundwater models." Hydrology and Earth System Sciences 20, no. 5 (2016): 1925–46. http://dx.doi.org/10.5194/hess-20-1925-2016.

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Abstract. In spite of geophysics being used increasingly, it is often unclear how and when the integration of geophysical data and models can best improve the construction and predictive capability of groundwater models. This paper uses a newly developed HYdrogeophysical TEst-Bench (HYTEB) that is a collection of geological, groundwater and geophysical modeling and inversion software to demonstrate alternative uses of electromagnetic (EM) data for groundwater modeling in a hydrogeological environment consisting of various types of glacial deposits with typical hydraulic conductivities and elec

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Annus, Ivar, Anatoli Vassiljev, Nils Kändler, and Katrin Kaur. "Automatic Calibration Module for an Urban Drainage System Model." Water 13, no. 10 (2021): 1419. http://dx.doi.org/10.3390/w13101419.

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The purpose of the study was to present an automated module for the calibration of urban drainage system models. A prepared tool based on the Open Water Analytics toolkit included 12 additional calibration parameters as compared to the existing similar solutions. The module included a gradient optimization method that allowed adjustment of up to five parameters simultaneously, and a trial-and-error method that provided the possibility of testing one or two parameters. The user interface was built in MS Excel to simplify use of the developed tool. The user can select preferable parameters for c

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Werner, M. G. F. "A comparison of flood extent modelling approaches through constraining uncertainties on gauge data." Hydrology and Earth System Sciences 8, no. 6 (2004): 1141–52. http://dx.doi.org/10.5194/hess-8-1141-2004.

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Abstract. A comparison is made of 1D, 2D and integrated 1D-2D hydraulic models in predicting flood stages in a 17 km reach of the River Saar in Germany. The models perform comparably when calibrated against limited data available from a single gauge in the reach for three low to medium flood events. In validation against a larger event than those used in calibration, extrapolation with the 1D and particularly the integrated 1D-2D model is reliable, if uncertain, while the 2D model is unreliable. The difference stems from the way in which the models deal with flow in the main channel and in the

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18

Smith, G. P., S. Perrens, and R. S. Carr. "Calibration of overlapping hydrologic and hydraulic flood models to limited historical data." Australasian Journal of Water Resources 6, no. 2 (2003): 151–57. http://dx.doi.org/10.1080/13241583.2003.11465218.

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Takahashi, S., J. G. Saldarriaga, M. C. Vega, and F. Hernández. "Water distribution system model calibration under uncertainty environments." Water Supply 10, no. 1 (2010): 31–38. http://dx.doi.org/10.2166/ws.2010.906.

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The calibration process of water distribution system models allows for accurate and reliable hydraulic analysis results. Thus, calibration is of utmost importance if adequate operation and maintenance model-based procedures are sought. However, in emerging economies, there is a series of factors that make it more difficult to construct accurate models, including very poor information management, unusually high leakages and the presence of a large number of illegal connections. While some of the model variables are assumed to be known under normal circumstances, these factors make it necessary

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Oehlmann, S., T. Geyer, T. Licha, and M. Sauter. "Reducing the ambiguity of karst aquifer models by pattern matching of flow and transport on catchment scale." Hydrology and Earth System Sciences 19, no. 2 (2015): 893–912. http://dx.doi.org/10.5194/hess-19-893-2015.

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Abstract. Assessing the hydraulic parameters of karst aquifers is a challenge due to their high degree of heterogeneity. The unknown parameter field generally leads to a high ambiguity for flow and transport calibration in numerical models of karst aquifers. In this study, a distributed numerical model was built for the simulation of groundwater flow and solute transport in a highly heterogeneous karst aquifer in south-western Germany. Therefore, an interface for the simulation of solute transport in one-dimensional pipes was implemented into the software COMSOL Multiphysics® and coupled to th

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Oehlmann, S., T. Geyer, T. Licha, and M. Sauter. "Reducing the ambiguity of karst aquifer models by pattern matching of flow and transport on catchment scale." Hydrology and Earth System Sciences Discussions 11, no. 8 (2014): 9281–326. http://dx.doi.org/10.5194/hessd-11-9281-2014.

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Abstract. Assessing the hydraulic parameters of karst aquifers is a challenge due to their high degree of heterogeneity. The unknown parameter field generally leads to a high ambiguity for flow and transport calibration in numerical models of karst aquifers. In this study, a distributive numerical model was built for the simulation of groundwater flow and solute transport in a highly heterogeneous karst aquifer in south western Germany. Therefore, an interface for the simulation of solute transport in one-dimensional pipes was implemented into the software Comsol Multiphysics® and coupled to t

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22

Lourens, A., M. F. P. Bierkens, and F. C. van Geer. "Updating hydraulic properties and layer thicknesses in hydrogeological models using groundwater model calibration results." Hydrology and Earth System Sciences Discussions 12, no. 4 (2015): 4191–231. http://dx.doi.org/10.5194/hessd-12-4191-2015.

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Abstract. Usually, subsoil data for groundwater models are generated from borehole data, using upscaling techniques. Since the assumed hydraulic properties for litho-classes in boreholes are uncertain, and upscaling may add inaccuracies, the groundwater model has to be calibrated. In this paper, a method is presented that uses a calibrated groundwater model to improve the quality of a hydrogeological model (layer thickness and hydraulic properties) as obtained from borehole data. To achieve this, all borehole data are defined by random variables and related to aquifer and aquitard properties a

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23

Gromov, G. N., and O. G. Primin. "Use of genetic algorithms for calibration of hydraulic models of water supply systems." IOP Conference Series: Materials Science and Engineering 456 (December 31, 2018): 012108. http://dx.doi.org/10.1088/1757-899x/456/1/012108.

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Marker, P. A., N. Foged, X. He, et al. "Performance evaluation of groundwater model hydrostratigraphy from airborne electromagnetic data and lithological borehole logs." Hydrology and Earth System Sciences 19, no. 9 (2015): 3875–90. http://dx.doi.org/10.5194/hess-19-3875-2015.

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Abstract. Large-scale hydrological models are important decision support tools in water resources management. The largest source of uncertainty in such models is the hydrostratigraphic model. Geometry and configuration of hydrogeological units are often poorly determined from hydrogeological data alone. Due to sparse sampling in space, lithological borehole logs may overlook structures that are important for groundwater flow at larger scales. Good spatial coverage along with high spatial resolution makes airborne electromagnetic (AEM) data valuable for the structural input to large-scale groun

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Bellprat, Omar, Sven Kotlarski, Daniel Lüthi, et al. "Objective Calibration of Regional Climate Models: Application over Europe and North America." Journal of Climate 29, no. 2 (2016): 819–38. http://dx.doi.org/10.1175/jcli-d-15-0302.1.

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Abstract An important source of model uncertainty in climate models arises from unconfined model parameters in physical parameterizations. These parameters are commonly estimated on the basis of manual adjustments (expert tuning), which carries the risk of overtuning the parameters for a specific climate region or time period. This issue is particularly germane in the case of regional climate models (RCMs), which are often developed and used in one or a few geographical regions only. This study addresses the role of objective parameter calibration in this context. Using a previously developed

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Marker, P. A., N. Foged, X. He, et al. "An automated method to build groundwater model hydrostratigraphy from airborne electromagnetic data and lithological borehole logs." Hydrology and Earth System Sciences Discussions 12, no. 2 (2015): 1555–98. http://dx.doi.org/10.5194/hessd-12-1555-2015.

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Abstract. Large-scale integrated hydrological models are important decision support tools in water resources management. The largest source of uncertainty in such models is the hydrostratigraphic model. Geometry and configuration of hydrogeological units are often poorly determined from hydrogeological data alone. Due to sparse sampling in space, lithological borehole logs may overlook structures that are important for groundwater flow at larger scales. Good spatial coverage along with high spatial resolution makes airborne time-domain electromagnetic (AEM) data valuable for the structural inp

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Quintana Seguí, P., E. Martin, F. Habets, and J. Noilhan. "Improvement, calibration and validation of a distributed hydrological model over France." Hydrology and Earth System Sciences 13, no. 2 (2009): 163–81. http://dx.doi.org/10.5194/hess-13-163-2009.

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Abstract. The hydrometeorological model SAFRAN-ISBA-MODCOU (SIM) computes water and energy budgets on the land surface and riverflows and the level of several aquifers at the scale of France. SIM is composed of a meteorological analysis system (SAFRAN), a land surface model (ISBA), and a hydrogeological model (MODCOU). In this study, an exponential profile of hydraulic conductivity at saturation is introduced to the model and its impact analysed. It is also studied how calibration modifies the performance of the model. A very simple method of calibration is implemented and applied to the param

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Quintana Seguí, P., E. Martin, F. Habets, and J. Noilhan. "Improvement, calibration and validation of a distributed hydrological model over France." Hydrology and Earth System Sciences Discussions 5, no. 3 (2008): 1319–70. http://dx.doi.org/10.5194/hessd-5-1319-2008.

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Abstract. The hydrometeorological model SAFRAN-ISBA-MODCOU (SIM) computes water and energy budgets on the land surface and riverflows and the level of several aquifers at the scale of France. SIM is composed of a meteorological analysis system (SAFRAN), a land surface model (ISBA) and a hydrogeological model (MODCOU). In this study, an exponential profile of hydraulic conductivity at saturation is introduced to the model and its impact analysed. It is also studied how calibration modifies the performance of the model. A very simple method of calibration is implemented and applied to the parame

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Rathi, Shweta, Rajesh Gupta, Pawan Labhasetwar, and Pranav Nagarnaik. "Challenges in calibration of water distribution network: a case study of Ramnagar Elevated Service Reservoir command area in Nagpur City, India." Water Supply 20, no. 4 (2020): 1294–312. http://dx.doi.org/10.2166/ws.2020.047.

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Abstract Calibration of a hydraulic model is a challenging task as it considers the involvement of a large number of uncertain parameters. There are some parameters like length and diameter of pipes, for which fairly accurate values can be obtained. As with all hydraulic models, water demands are one of the main parameters that cause the most uncertainty in the model outputs. The calibration of the water demands is usually not feasible, which is attributable to the limited quantity of available measurements in most real water networks. However, some parameters like nodal demands and pipe rough

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Lyons, Richard T., Richard C. Peralta, and Partha Majumder. "Comparing Single-Objective Optimization Protocols for Calibrating the Birds Nest Aquifer Model—A Problem Having Multiple Local Optima." International Journal of Environmental Research and Public Health 17, no. 3 (2020): 853. http://dx.doi.org/10.3390/ijerph17030853.

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To best represent reality, simulation models of environmental and health-related systems might be very nonlinear. Model calibration ideally identifies globally optimal sets of parameters to use for subsequent prediction. For a nonlinear system having multiple local optima, calibration can be tedious. For such a system, we contrast calibration results from PEST, a commonly used automated parameter estimation program versus several meta-heuristic global optimizers available as external packages for the Python computer language—the Gray Wolf Optimization (GWO) algorithm; the DYCORS optimizer fram

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31

Loi, Nguyen Kim, Nguyen Duy Liem, Le Hoang Tu, et al. "Automated procedure of real-time flood forecasting in Vu Gia – Thu Bon river basin, Vietnam by integrating SWAT and HEC-RAS models." Journal of Water and Climate Change 10, no. 3 (2018): 535–45. http://dx.doi.org/10.2166/wcc.2018.015.

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Abstract The precise and reliable simulation of hydrologic and hydraulic processes is important for efficient flood forecasting and warning. The study proposes a real-time flood forecasting system which integrates a coupled hydrological-hydraulic modeling system, weather station network, and stream gauges in a web-based visualization environment. An automated procedure was developed for linking dynamically terrestrial rainfall-runoff processes and river hydraulics by coupling the SWAT hydrological model and the HEC-RAS hydraulic model. The flood forecasting system was trialed in the Vu Gia – T

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Christensen, N. K., S. Christensen, and T. P. A. Ferre. "A framework for testing the use of electric and electromagnetic data to reduce the prediction error of groundwater models." Hydrology and Earth System Sciences Discussions 12, no. 9 (2015): 9599–653. http://dx.doi.org/10.5194/hessd-12-9599-2015.

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Abstract. Despite geophysics is being used increasingly, it is still unclear how and when the integration of geophysical data improves the construction and predictive capability of groundwater models. Therefore, this paper presents a newly developed HYdrogeophysical TEst-Bench (HYTEB) which is a collection of geological, groundwater and geophysical modeling and inversion software wrapped to make a platform for generation and consideration of multi-modal data for objective hydrologic analysis. It is intentionally flexible to allow for simple or sophisticated treatments of geophysical responses,

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Clarke, D., P. Andrews, E. Messeth, R. Sala, and J. M. Deom. "Analysis of the hydraulics of the irrigation canals of Otrar, Kazakhstan." Water Supply 10, no. 3 (2010): 453–61. http://dx.doi.org/10.2166/ws.2010.114.

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Surveys of relic canals at the Oasis of Otrar in Kazakhstan have been used to re-construct patterns of agricultural water use for irrigation between AD700 and AD1500. Hydraulic simulation software was used to calculate the water carrying capacity of historical irrigation canal networks. An analysis of modern day irrigation systems has enabled the calibration of crop water use models and an estimate of the effectiveness of the ancient irrigation canals was made. The hydraulic models show that significant organisation of the management of the canals was necessary to ensure correct delivery of wa

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Montanari, M., R. Hostache, P. Matgen, G. Schumann, L. Pfister, and L. Hoffmann. "Calibration and sequential updating of a coupled hydrologic-hydraulic model using remote sensing-derived water stages." Hydrology and Earth System Sciences 13, no. 3 (2009): 367–80. http://dx.doi.org/10.5194/hess-13-367-2009.

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Abstract. Two of the most relevant components of any flood forecasting system, namely the rainfall-runoff and flood inundation models, increasingly benefit from the availability of spatially distributed Earth Observation data. With the advent of microwave remote sensing instruments and their all weather capabilities, new opportunities have emerged over the past decade for improved hydrologic and hydraulic model calibration and validation. However, the usefulness of remote sensing observations in coupled hydrologic and hydraulic models still requires further investigations. Radar remote sensing

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Montanari, M., R. Hostache, P. Matgen, G. Schumann, L. Pfister, and L. Hoffmann. "Calibration and sequential updating of a coupled hydrologic-hydraulic model using remote sensing-derived water stages." Hydrology and Earth System Sciences Discussions 5, no. 6 (2008): 3213–45. http://dx.doi.org/10.5194/hessd-5-3213-2008.

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Abstract. Two of the most relevant components of any flood forecasting system, namely the rainfall-runoff and flood inundation models, increasingly benefit from the availability of spatially distributed Earth Observation data. With the advent of microwave remote sensing instruments and their all weather capabilities, new opportunities have emerged over the past decade for improved hydrologic and hydraulic model calibration and validation. However, the usefulness of remote sensing observations in coupled hydrologic and hydraulic models still requires further investigations. Radar remote sensing

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36

Lawston-Parker, Patricia, Joseph A. Santanello, and Sujay V. Kumar. "Understanding the Impacts of Land Surface and PBL Observations on the Terrestrial and Atmospheric Legs of Land–Atmosphere Coupling." Journal of Hydrometeorology 22, no. 9 (2021): 2241–58. http://dx.doi.org/10.1175/jhm-d-20-0263.1.

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AbstractAccurately representing land–atmosphere (LA) interactions and coupling in NWP systems remains a challenge. New observations, incorporated into models via assimilation or calibration, hold the promise of improved forecast skill, but erroneous model coupling can hinder the benefits of such activities. To better understand model representation of coupled interactions and feedbacks, this study demonstrates a novel framework for coupled calibration of the single column model (SCM) capability of the NASA Unified Weather Research and Forecasting (NU-WRF) system coupled to NASA’s Land Informat

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Cierkens, Katrijn, Salvatore Plano, Lorenzo Benedetti, Stefan Weijers, Jarno de Jonge, and Ingmar Nopens. "Impact of influent data frequency and model structure on the quality of WWTP model calibration and uncertainty." Water Science and Technology 65, no. 2 (2012): 233–42. http://dx.doi.org/10.2166/wst.2012.081.

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Application of activated sludge models (ASMs) to full-scale wastewater treatment plants (WWTPs) is still hampered by the problem of model calibration of these over-parameterised models. This either requires expert knowledge or global methods that explore a large parameter space. However, a better balance in structure between the submodels (ASM, hydraulic, aeration, etc.) and improved quality of influent data result in much smaller calibration efforts. In this contribution, a methodology is proposed that links data frequency and model structure to calibration quality and output uncertainty. It

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Alex, J., R. Tschepetzki, U. Jumar, F. Obenaus, and K. H. Rosenwinkel. "Analysis and design of suitable model structures for activated sludge tanks with circulating flow." Water Science and Technology 39, no. 4 (1999): 55–60. http://dx.doi.org/10.2166/wst.1999.0189.

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Activated sludge models are widely used for planning and optimisation of wastewater treatment plants and on line applications are under development to support the operation of complex treatment plants. A proper model is crucial for all of these applications. The task of parameter calibration is focused in several papers and applications. An essential precondition for this task is an appropriately defined model structure, which is often given much less attention. Different model structures for a large scale treatment plant with circulation flow are discussed in this paper. A more systematic met

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Chao, Ching-Yu, Maarten Bakker, and Cristina Jommi. "Calibration of a simple 1D model for the hydraulic response of regional dykes in the Netherlands." E3S Web of Conferences 195 (2020): 01012. http://dx.doi.org/10.1051/e3sconf/202019501012.

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A simple numerical model was set up to investigate the hydraulic behaviour of a regional dyke to improve understanding of the response under variable atmospheric conditions. The unsaturated hydraulic properties of the dyke body and the relevant foundation layers were calibrated either on the results of laboratory tests or on a national database, namely the Staringreeks, compiled for typical Dutch soils. The boundary conditions were imposed according to the weather history at the top, and to the pore pressures measured in the field at the bottom of the representative soil column. The results in

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Mourad, M., J. L. Bertrand-Krajewski, and G. Chebbo. "Design of a retention tank: comparison of stormwater quality models with various levels of complexity." Water Science and Technology 54, no. 6-7 (2006): 231–38. http://dx.doi.org/10.2166/wst.2006.582.

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Stormwater quality simulation models are useful tools for the design and management of sewer systems. Modelling results are highly sensitive to experimental data used for calibration. This sensitivity is examined for three modelling approaches of various complexities (site mean concentration approach, event mean concentration approach and build-up, washoff and transport modelling approach) applied to a typical case study (design of a dry detention tank), accounting for the variability of calibration data and their effect on simulation results. Calibrated models with different calibration data

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Tabesh, M., M. Jamasb, and R. Moeini. "Calibration of water distribution hydraulic models: A comparison between pressure dependent and demand driven analyses." Urban Water Journal 8, no. 2 (2011): 93–102. http://dx.doi.org/10.1080/1573062x.2010.548525.

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Di Baldassarre, Giuliano, Guy Schumann, and Paul D. Bates. "A technique for the calibration of hydraulic models using uncertain satellite observations of flood extent." Journal of Hydrology 367, no. 3-4 (2009): 276–82. http://dx.doi.org/10.1016/j.jhydrol.2009.01.020.

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Čistý, Milan. "Automated calibration of the simulation model of irrigation projects by harmony search optimization." Journal of Water and Land Development 12, no. 1 (2008): 3–13. http://dx.doi.org/10.2478/v10025-009-0001-1.

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Automated calibration of the simulation model of irrigation projects by harmony search optimizationThe paper deals with calibration of the simulation models of hydraulic part of an irrigation project. Calibrated simulation model can be used in design, reconstruction, enlargement or maintenance of the pressurized irrigation systems. Computer model of the water distribution system is a valuable tool which can assist engineers and planners in analyzing the hydraulic performance of water delivery systems. Calibration of the water distribution model consists in comparison of pressures and flows pre

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Hicks, Faye E. "Hydraulic flood routing with minimal channel data: Peace River, Canada." Canadian Journal of Civil Engineering 23, no. 2 (1996): 524–35. http://dx.doi.org/10.1139/l96-057.

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Hydrologic flood routing models have been, and continue to be, the primary tool of the flood forecaster. However, any advancement in our ability to model a wider variety of flow scenarios, including extreme flood events (for which no calibration may be available), dam break floods, or ice-related events, necessitates the use of deterministic (hydraulic) models. A more fundamental advantage of hydraulic flood routing models over hydrologic models, in terms of less dynamic events, is that output describing flood hydrographs between gauge sites is produced. Such output is valuable in flow forecas

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Domeneghetti, A., A. Castellarin, and A. Brath. "Assessing rating-curve uncertainty and its effects on hydraulic model calibration." Hydrology and Earth System Sciences 16, no. 4 (2012): 1191–202. http://dx.doi.org/10.5194/hess-16-1191-2012.

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Abstract. This study considers the overall uncertainty affecting river flow measurements and proposes a framework for analysing the uncertainty of rating-curves and its effects on the calibration of numerical hydraulic models. The uncertainty associated with rating-curves is often considered negligible relative to other approximations affecting hydraulic studies, even though recent studies point out that rating-curves uncertainty may be significant. This study refers to a ~240 km reach of River Po and simulates ten different historical flood events by means of a quasi-twodimensional (quasi-2-D

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Domeneghetti, A., A. Castellarin, and A. Brath. "Assessing rating-curve uncertainty and its effects on hydraulic model calibration." Hydrology and Earth System Sciences Discussions 8, no. 6 (2011): 10501–33. http://dx.doi.org/10.5194/hessd-8-10501-2011.

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Abstract. This study considers the overall uncertainty affecting river flow measurements and proposes a framework for analysing the uncertainty of rating-curves and its effects on the calibration of numerical hydraulic models. The uncertainty associated with rating-curves is often considered negligible relative to other approximations affecting hydraulic studies, even though recent studies point out that rating-curves uncertainty may be significant. This study refers to a ∼240 km reach of River Po and simulates ten different historical flood events by means of a quasi-twodimensional (quasi-2-D

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Hayley, Kevin, Alexis Valenza, Emma White, Bruce Hutchison, and Jens Schumacher. "Application of the Iterative Ensemble Smoother Method and Cloud Computing: A Groundwater Modeling Case Study." Water 11, no. 8 (2019): 1649. http://dx.doi.org/10.3390/w11081649.

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Numerical groundwater modelling to support mining decisions is often challenging and time consuming. Simulation of open pit mining for model calibration or prediction requires models that include unsaturated flow, large magnitude hydraulic gradients and often require transient simulations with time varying material properties and boundary conditions. This combination of factors typically results in models with long simulation times and/or some level of numerical instability. In modelling practice, long run times and instability can result in reduced effort for predictive uncertainty analysis,

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Pinnington, Ewan, Javier Amezcua, Elizabeth Cooper, et al. "Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data." Hydrology and Earth System Sciences 25, no. 3 (2021): 1617–41. http://dx.doi.org/10.5194/hess-25-1617-2021.

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Abstract. Pedotransfer functions are used to relate gridded databases of soil texture information to the soil hydraulic and thermal parameters of land surface models. The parameters within these pedotransfer functions are uncertain and calibrated through analyses of point soil samples. How these calibrations relate to the soil parameters at the spatial scale of modern land surface models is unclear because gridded databases of soil texture represent an area average. We present a novel approach for calibrating such pedotransfer functions to improve land surface model soil moisture prediction by

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Sun, W. C., H. Ishidaira, and S. Bastola. "Towards improving river discharge estimation in ungauged basins: calibration of rainfall-runoff models based on satellite observations of river flow width at basin outlet." Hydrology and Earth System Sciences 14, no. 10 (2010): 2011–22. http://dx.doi.org/10.5194/hess-14-2011-2010.

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Abstract. Rainfall-runoff models are common tools for river discharge estimation in the field of hydrology. In ungauged basins, the dependence on observed river discharge data for calibration restricts applications of rainfall-runoff models. The strong correlation between quantities of river cross-sectional water surface width obtained from remote sensing and corresponding in situ gauged river discharge has been verified by many researchers. In this study, a calibration scheme of rainfall-runoff models based on satellite observations of river width at basin outlet is illustrated. One distinct

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Abbas, Sarmad A., Ali H. Al-Aboodi, and Husham T. Ibrahim. "Identification of Manning’s Coefficient Using HEC-RAS Model: Upstream Al-Amarah Barrage." Journal of Engineering 2020 (April 3, 2020): 1–7. http://dx.doi.org/10.1155/2020/6450825.

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In understanding the hydraulic characteristics of river system flow, the hydraulic simulation models are essential tools. This study submits the results of the proposition of a hydraulic model in order to determine the roughness coefficient (Manning’s coefficient n) of the Tigris River along 3.5 km within the Maysan Governorate, south of Iraq. HEC-RAS software was the simulation tool used in this study. The HEC-RAS model was adopted, calibrated, and validated in adopting two sets of observed water levels. Graphical and statistical approaches were used for model calibration and verification. Re

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