Criterion |
Explanation |
General Description |
DSM2 – ANN 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.