Nothing Special   »   [go: up one dir, main page]

Lin et al., 2017 - Google Patents

Automatic calibration of an unsteady river flow model by using dynamically dimensioned search algorithm

Lin et al., 2017

View PDF @Full View
Document ID
2018461246066637440
Author
Lin F
Wu N
Tu C
Tsay T
Publication year
Publication venue
Mathematical Problems in Engineering

External Links

Snippet

Dynamically dimensioned search (DDS) algorithm is a new‐type heuristic algorithm which was originally developed by Tolson and Shoemaker in 2007. In this study, the DDS algorithm is applied to automate the calibration process of an unsteady river flow model in …
Continue reading at onlinelibrary.wiley.com (PDF) (other versions)

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
    • G06F17/50—Computer-aided design
    • G06F17/5009—Computer-aided design using simulation

Similar Documents

Publication Publication Date Title
Jung et al. Uncertainty quantification in flood inundation mapping using generalized likelihood uncertainty estimate and sensitivity analysis
Haddad et al. Retracted: levee layouts and design optimization in protection of flood areas
Paiva et al. Validation of a full hydrodynamic model for large‐scale hydrologic modelling in the Amazon
Fewtrell et al. Geometric and structural river channel complexity and the prediction of urban inundation
Wang et al. Evaluating the effect of land use changes on soil erosion and sediment yield using a grid‐based distributed modelling approach
Ahmed et al. Groundwater flow modelling of Yamuna-Krishni interstream, a part of central Ganga Plain Uttar Pradesh
Underwood et al. Past and present design practices and uncertainty in climate projections are challenges for designing infrastructure to future conditions
Yazdi Rehabilitation of urban drainage systems using a resilience-based approach
Nandalal et al. Flood risk analysis using fuzzy models
Rahman et al. Development of the Jamuneswari flood forecasting system: Case study in Bangladesh
Vora et al. Assessment and prioritization of flood protection levees along the lower Tapi River, India
Shamsuddin et al. Forecasting of Groundwater Level using Artificial Neural Network by incorporating river recharge and river bank infiltration
Yu et al. Stochastic optimization model for supporting urban drainage design under complexity
Yuan et al. Research and application of an intelligent networking model for flood forecasting in the arid mountainous basins
Yazdi et al. A stochastic optimization algorithm for optimizing flood risk management measures including rainfall uncertainties and nonphysical flood damages
Lin et al. Automatic calibration of an unsteady river flow model by using dynamically dimensioned search algorithm
Swathi et al. Addition of overland runoff and flow routing methods to SWMM—model application to Hyderabad, India
Sadeghi Loyeh et al. Daily maximum runoff frequency analysis under non-stationary conditions due to climate change in the future period: Case study Ghareh Sou basin
Kobayashi et al. Development of a distributed rainfall‐run‐off/flood‐inundation simulation and economic risk assessment model
Yoon et al. Urban stream overflow probability in a changing climate: Case study of the Seoul Uicheon Basin, Korea
Choi et al. Implementation of a hydraulic routing model for dendritic networks with offline coupling to a distributed hydrological model
Yazdi Check dam layout optimization on the stream network for flood mitigation: surrogate modelling with uncertainty handling
Xia et al. Modelling flood routing on initially dry beds with the refined treatment of wetting and drying
Eum et al. Engineering procedure for the climate change flood risk assessment in the Upper Thames River Basin
Calvo et al. Real-time flood forecasting of the Tiber river in Rome