{"@type": "dcat:Dataset", "accessLevel": "public", "contactPoint": {"@type": "vcard:Contact", "fn": "Min Yu", "hasEmail": "mailto:Min.Yu@water.ca.gov"}, "description": "Ecological Particle Tracking Model (ECO-PTM) is an individual-based juvenile salmonid migration and survival model.", "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://data.cnra.ca.gov/dataset/eco-ptm-0-0-0-beta", "description": "ECO-PTM 0.0.0-beta\r\n\r\nhttps://github.com/CADWRDeltaModeling/ecoptm\r\n\r\nVersion ECO-PTM 0.0.0-beta is an updated release of DSM2 v8.4 ECO-PTM that includes several major enhancements. New capabilities include simulation of juvenile Chinook salmon fate and survival for fish entering the Delta from the San Joaquin River at Vernalis, improved representation of fish responses to leakage flows at barriers, and a modular architecture that allows users to incorporate specialized routing models.\r\n\r\nThe model is now platform-independent, with legacy C/C++/Fortran components replaced by Java. Additional improvements include tools for visualization and animation of fish particle fate, comparison of simulation results across management alternatives, and utilities for converting legacy input files to the new format.", "title": "ECO-PTM 0.0.0-beta"}, {"@type": "dcat:Distribution", "accessURL": "https://data.cnra.ca.gov/dataset/eco-ptm-paper", "description": "The Department of Water Resources Modeling Support Office, in collaboration with the United States Geological Survey (USGS), has developed an individual-based ecological particle tracking model (ECO-PTM). Based on a random walk theory, the model tracks individual particles\u2019 travel time, routing and survival in a flow field simulated by the Delta Simulation Model 2 hydrodynamic module (DSM2 HYDRO). The random walk particles are parameterized to have fish-like swimming behaviors including upstream/downstream swimming, probabilistic holding behaviors, and stochastic swimming velocities. Particle routing at key junctions is based on well-established statistical models, and route-specific survival is calculated using the XT mean free-path length model. Behavioral parameters were estimated by fitting several competing models to a multiyear dataset of travel times from acoustic tagged juvenile salmon. The model\u2019s baseline simulations under historical flow conditions from 1991 to 2016 successfully replicated essential relationships between salmon outmigration survival and hydrodynamic conditions, consistent with previous studies and the STARS (Survival Travel Time and Routing Simulation) statistical simulation model. The paper and the supplementary materials detailing the model are available here.", "format": "HTML", "title": "ECO-PTM Paper"}, {"@type": "dcat:Distribution", "accessURL": "https://data.cnra.ca.gov/dataset/eco-ptm-workshop-presentations", "format": "Website", "title": "ECO-PTM Workshop Presentations"}, {"@type": "dcat:Distribution", "downloadURL": "https://data.cnra.ca.gov/dataset/c39f9127-d73e-4abc-948e-95dc9240a731/resource/824fbf89-3337-405e-bffc-da6cc522562f/download/sample_runs_for_release821.zip", "format": "ZIP", "mediaType": "application/zip", "title": "Sample runs for ECO-PTM release 8.2.1"}], "identifier": "3f466504-6b5b-410f-9ecb-2a347630bf89", "issued": "2021-06-24T18:54:01.049027", "keyword": ["DSM2", "ECO-PTM", "california department of water resources"], "modified": "2026-06-23T19:58:35.813607", "publisher": {"@type": "org:Organization", "name": "California Department of Water Resources"}, "theme": ["Natural Resources", "Water"], "title": "Ecological Particle Tracking Model (ECO-PTM)"}