Dalledonne et al., 2019 - Google Patents
Uncertainty quantification of floodplain friction in hydrodynamic modelsDalledonne et al., 2019
View HTML- Document ID
- 947657895472933087
- Author
- Dalledonne G
- Kopmann R
- Brudy-Zippelius T
- Publication year
- Publication venue
- Hydrology and Earth System Sciences
External Links
Snippet
This study proposes a framework to estimate the uncertainty of hydrodynamic models on floodplains. The traditional floodplain resistance formula of Pasche (1984)(based on Lindner, 1982) used for river modelling as well as the approaches of Baptist et al.(2007) …
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
- G06Q30/0202—Market predictions or demand forecasting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
- G06Q30/0278—Product appraisal
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
- G06N3/02—Computer systems based on biological models using neural network models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2217/00—Indexing scheme relating to computer aided design [CAD]
- G06F2217/46—Fuselage
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Dalledonne et al. | Uncertainty quantification of floodplain friction in hydrodynamic models | |
| Paris et al. | Stage‐discharge rating curves based on satellite altimetry and modeled discharge in the Amazon basin | |
| Horner et al. | Impact of stage measurement errors on streamflow uncertainty | |
| Kelleher et al. | Identifiability of transient storage model parameters along a mountain stream | |
| Mansanarez et al. | Shift happens! Adjusting stage‐discharge rating curves to morphological changes at known times | |
| Huard et al. | Calibration of hydrological model GR2M using Bayesian uncertainty analysis | |
| Iooss et al. | A review on global sensitivity analysis methods | |
| Teweldebrhan et al. | Parameter uncertainty analysis for an operational hydrological model using residual-based and limits of acceptability approaches | |
| Westra et al. | A strategy for diagnosing and interpreting hydrological model nonstationarity | |
| Pechlivanidis et al. | Use of an entropy‐based metric in multiobjective calibration to improve model performance | |
| Biondi et al. | Validation of hydrological models: Conceptual basis, methodological approaches and a proposal for a code of practice | |
| Guzman et al. | Uncertainty considerations in calibration and validation of hydrologic and water quality models | |
| Ani et al. | Development, calibration and evaluation of two mathematical models for pollutant transport in a small river | |
| Beven | Causal models as multiple working hypotheses about environmental processes | |
| Brown et al. | Assessing uncertainty propagation through physically based models of soil water flow and solute transport | |
| Nott et al. | Generalized likelihood uncertainty estimation (GLUE) and approximate Bayesian computation: What's the connection? | |
| Wagener et al. | Multiobjective sensitivity analysis to understand the information content in streamflow observations for distributed watershed modeling | |
| Bozzi et al. | Roughness and discharge uncertainty in 1D water level calculations | |
| Nepveu et al. | Statistics of seismic events at the Groningen field | |
| Sun et al. | Separately accounting for uncertainties in rainfall and runoff: Calibration of event‐based conceptual hydrological models in small urban catchments using Bayesian method | |
| Yoon et al. | Improved error estimates of a discharge algorithm for remotely sensed river measurements: Test cases on S acramento and G aronne R ivers | |
| Hunt et al. | Evaluating lower computational burden approaches for calibration of large environmental models | |
| Nasseri et al. | Uncertainty assessment of hydrological models with fuzzy extension principle: evaluation of a new arithmetic operator | |
| Chari et al. | General equation for advance and recession of water in border irrigation | |
| Micevski et al. | Combining site and regional flood information using a Bayesian Monte Carlo approach |