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Criterion | Explanation |
General Description | DSM2 – ANN (Artificial Neural Network) is an emulator of the DSM2 model to simulate concentrations of conservative constituents in selected fixed locations of the Delta, using flow and concentrations at boundaries. |
Model Domain | Sacramento-San Joaquin River Delta. The downstream tidal boundary is specified at Martinez, where salinity is a function of net Delta outflow. Inflow boundary conditions are specified at: Sacramento River, San Joaquin River, Calaveras River, Mokelumne River downstream of Cosumnes River confluence, and Yolo Bypass. Agricultural return flows from Delta islands are also specified as boundary conditions. |
Developer | Tetra Tech, Inc., under contract to Metropolitan Water District of Southern California |
Hardware computing requirements | Developed for the Windows operating system |
Code language | Visual Basic through Excel for inputs and outputs; underlying ANN development in MatLab, called via dlls from Excel Visual Basic code |
Original application | Sacramento – San Joaquin River Delta |
Public/proprietary and cost | Public, free |
Physically or empirically based | Empirically based |
Mathematical methods used | ANN model emulation of a physically based model. |
Input data requirements | Daily values for major Delta inflows (and associated water quality), Martinez water levels, gates and barrier operations. |
Outputs | Volumetric contributions from boundaries and concentrations at fixed locations within Delta. |
Pre-processing and post-processing tools | Embedded within Excel. |
Representation of uncertainty | None specified. |
Prevalence | Recently developed, published peer-reviewed paper, minimal user base. |
Ease of use for public entities | Easy to use. Excel user interface is provided for easy input of data required. |
Ease of obtaining information and availability of technical support | The model executables and documentation are available. |
Source code availability | Available through developer (Tetra Tech). |
Status of model development | Latest version was released in 2016. No updates are presently planned. |
Challenges in integration | Provides predictions of volumetric contributions from boundaries and concentrations at locations in the Delta. The present interface uses an Excel front end, but a closer integration will require working directly with the ANN dll files, which can be called through many different coding languages. |
Reference:
Chen, L., S. B. Roy, and P.H. Hutton. 2018. Emulation of a Process-Based Estuarine Hydrodynamic Model, Hydrological Sciences Journal, DOI: 10.1080/02626667.2018.1447112.