DWR's Basin Characterization Program

Description

##(Website under development) #Basin Characterization Program Overview DWR has a long history of studying and characterizing California’s groundwater aquifers as a part of California’s Groundwater (Bulletin 118). The Basin Characterization Program provides the latest data and information about California’s groundwater basins to help local communities better understand their aquifer systems and support local and statewide groundwater management. Under the Basin Characterization Program, new and existing data (AEM, lithology logs, geophysical logs, etc.) will be integrated to create continuous maps and three-dimensional models. To support this effort, new data analysis tools will be developed to create texture models, hydrostratigraphic models, and aquifer flow parameters. Data collection efforts will be expanded to include advanced geologic, hydrogeologic, and geophysical data collection and data digitization and quality control efforts will continue. To continue to support data access and data equity, the Basin Characterization Program will develop new online, GIS-based, visualization tools to serve as a central hub for accessing and exploring groundwater related data in California. Additional information can be found on the [Basin Characterization Program webpage](https://water.ca.gov/Programs/Groundwater-Management/Bulletin-118/Basin-Characterization "Basin Characterization Program webpage"). #DWR's Evaluation of Groundwater Resources: Maps and Models DWR will undertake local and regional investigations to evaluate California's groundwater resources and develop state-stewarded maps and models. New and existing data will be combined and integrated using the analysis tools described below to develop maps and models to be developed will describe the grain size, the hydrostratigraphic properties, and hydrogeologic conceptual properties of California’s aquifers. These maps and models help groundwater managers understand how groundwater is stored and moves within the aquifer. The models will be state-stewarded, meaning that they will be regularly updated, as new data becomes available, to ensure that up-to-date information is used for groundwater management activities. The first iterations of the following maps and models will be published as they are developed: + Texture Models + Hydrostratigraphic Models + Aquifer Recharge Potential Maps + Extent of Important Aquifer Units + Depth to Basement + Depth to Freshwater ##Local Investigations: + [Local Investigation: Madera & North Kings](https://data.cnra.ca.gov/dataset/dwr-basin-characterization/resource/8400c923-e18d-4ac5-958b-82f88e5af4f8 "Local Investigation: Madera & North Kings") + [Local Investigation: Pajaro](https://data.cnra.ca.gov/dataset/dwr-basin-characterization/resource/043aaa87-5c5d-433e-9afe-80f6966ca3ad "Local Investigation: Pajaro") ##Regional Investigations: Information on regional investigations coming soon. # Data Collection, Compilation, and Digitization ## Data Collection As a part of the Basin Characterization Program, advanced geologic, hydrogeologic, and geophysical data will be collected to improve our understanding of groundwater basins. Data collected under Basin Characterization are collected at a local, regional, or statewide scale depending on the scope of the study. Datasets collected under the Basin Characterization Program can be found under the following resource: + [Geophysical, Hydrogeologic, & Geologic Datasets](https://data.cnra.ca.gov/dataset/dwr-basin-characterization/resource/ed0fcbe2-184c-4529-8fbd-4ebdcb4652ea "Geophysical, Hydrogeologic, & Geologic Datasets") ## Digitized Existing Lithology and Geophysical Logs Lithology and geophysical logging data have been digitized to support the Statewide AEM Survey Project and will continue to be digitized to support Basin Characterization efforts. All digitized lithology logs with Well Completion Report IDs will be imported back into the OSWCR database. Digitized lithology and geophysical logging can be found under the following resource: + [Digitized Lithology and Geophysical Logs](https://data.cnra.ca.gov/dataset/dwr-basin-characterization/resource/942aa75e-8727-4e12-84a6-280b5896f3b0 "Digitized Lithology and Geophysical Logs"). #Analysis Tools and Guidance To develop the state-stewarded maps and models outlined above, new tools and guidance will be created to integrate and analyze a wide range of data, including geologic, geophysical, and hydrogeologic information. By combining and assessing various datasets, these tools will help create a more complete picture of California's groundwater basins. All tools, along with guidance documents, will be made publicly available for local groundwater managers to use to support development of maps and models at a local scale. All tools and guidance will be updated as revisions to tools and guidance are made. Analysis tools and guidance documents can be found under the following resource: + [Data Analysis Tools and Guidance](https://data.cnra.ca.gov/dataset/dwr-basin-characterization/resource/ffcfe414-9221-4ddd-970c-40e83c65909b "Data Analysis Tools and Guidance").

Resources

Name Format Description Link
10 Data2Texture is an advanced spatial data interpolation and simulation tool for estimating the distribution of sediment textures. Preliminary description of the Data2Texture tool. Tool expected to be publicly available in Early 2025. https://data.cnra.ca.gov/dataset/ee3ccd25-b626-481a-84fd-e2ca89e1f3bd/resource/91b11192-9867-4020-82f0-df795d6eb7b4/download/bc_analysistools_data2texture_20241003.pdf
10 Smart Interpretation (SI) is a semi-automatic Python tool for delineating continuous hydrogeologic surfaces from airborne electromagnetic data products, including inverse resistivity and coarse-fraction models. File contains a preliminary description of the Data2HSM via Smart Interpretation tool. Tool expected to be publicly available in Early 2025. https://data.cnra.ca.gov/dataset/ee3ccd25-b626-481a-84fd-e2ca89e1f3bd/resource/a00585a3-d330-41b1-aeba-f450526596b9/download/bc_analysistools_data2hsm_si_20241003.pdf
33 Data Report (draft) for the tTEM data collected in the Pajaro area. Draft report contains only Appendix 4, showing tTEM electrical resistivity profiles. File to be updated when complete report is available. File updated on 11/20/2024. https://data.cnra.ca.gov/dataset/ee3ccd25-b626-481a-84fd-e2ca89e1f3bd/resource/5e3dd3d1-a295-433c-b67b-6f1f8a88dab2/download/appendix4_draft.pdf
57 Digitized lithology and geophysical logging data for the Local Investigation: Madera & North Kings. File updated 11/18/2024. https://data.cnra.ca.gov/dataset/ee3ccd25-b626-481a-84fd-e2ca89e1f3bd/resource/1d08d5ff-427d-4d77-9d39-89caca3c34fe/download/local_investigation_maderankings_digitzeddata_20241118.zip
0 ## Datasets and Reports All AEM data and reports are available on the CNRA Open Data Portal page: https://data.cnra.ca.gov/dataset/aem ## AEM Flight Line Map A map displaying the location of AEM data collection can be found here: https://data.cnra.ca.gov/dataset/aem/resource/8a020073-20e4-4feb-9271-fe8f76c99a85 ## AEM Data Viewers DWR's AEM 3D and Profile Viewers can be accessed here: https://data.cnra.ca.gov/dataset/aem/resource/29c4478d-fc34-44ab-a373-7d484afa38e8 https://data.cnra.ca.gov/dataset/aem
57 Texture model Version 2024.2 was developed using [Data2Texture](Data2Texture, Data2HSM, and Texture2Par V.2 "Data2Texture") and includes the integration of texture derived from available AEM data. ## File Structure ### Texture Model * TextureModelingSA9_anistropic_v4_asc.npz: NPZ: file is in the numpy format. * TextureModelingSA9_anistropic_v4_asc.npz7:z file that contains the same dataset in the ASC format, one file for each layer. The projection for the ASC files is EPSG:3310. * top elevations: file contains the bottom elevations and thicknesses of each layer. All numbers are in meters. All layers have uniform thicknesses. ### Bedrock * BedrockRaster: bedrock depth below ground surface in units of meters https://data.cnra.ca.gov/dataset/ee3ccd25-b626-481a-84fd-e2ca89e1f3bd/resource/ddd6d0d5-68e7-45c1-b9b1-d88de3cf1276/download/localstudy1_textre_version2024.2.zip
0 Aquifer Recharge Potential (ARP) map series for the Local Investigation: Madera & North Kings. Additional information on the ARP mapping process can be found on the [Guidance - Aquifer Recharge Potential Analyses](https://data.cnra.ca.gov/dataset/dwr-basin-characterization/resource/7d33d618-38bc-4511-834c-6e791695f8e2, "Guidance - Aquifer Recharge Potential Analyses") ARP maps were developed using the [Local Investigation: Madera & North Kings - Texture model (Version 2024.2)](https://data.cnra.ca.gov/dataset/dwr-basin-characterization/resource/ddd6d0d5-68e7-45c1-b9b1-d88de3cf1276, "Local Investigation: Madera & North Kings - Texture model (Version 2024.2)"). GIS Geodatabase contains the following maps: SS - Surficial Shallow SPP - Surficial Preferential Pathway PP - Preferential Pathway https://data.cnra.ca.gov/dataset/ee3ccd25-b626-481a-84fd-e2ca89e1f3bd/resource/e5c9e782-bb75-495b-bb22-b659976937ae/download/localstudy1_aprmaps.zip
10 Texture2Par Version 2 is a groundwater model pre-processor and parameterization utility developed to work with the IWFM and MODFLOW families of hydrologic simulation codes. File contains a preliminary description of the Texture2Par Version 2.0 tool. Tool expected to be publicly available in Early 2025. https://data.cnra.ca.gov/dataset/ee3ccd25-b626-481a-84fd-e2ca89e1f3bd/resource/ef60d3ee-91d3-40cc-9455-5b9775993ee5/download/bc_analysistools_texture2parv2_20241003.pdf
10 Aquifer Recharge Potential (ARP) analyses identify locations with high potential for managed aquifer recharge for a variety of groundwater recharge methods. File contains a preliminary description of the Aquifer Recharge Potential Analyses. Guidance expected to be publicly available in Fall 2024. https://data.cnra.ca.gov/dataset/ee3ccd25-b626-481a-84fd-e2ca89e1f3bd/resource/7d33d618-38bc-4511-834c-6e791695f8e2/download/bc_aquiferrecharepotential_cnra_20241003.docx
57 Preliminary (draft) tTEM data collected in the Pajaro area. This preliminary -draft dataset contains only the tTEM survey lines (as shapefiles) and XYZ electrical resistivity data. Complete dataset to be added when available. File updated on 11/20/2024. https://data.cnra.ca.gov/dataset/ee3ccd25-b626-481a-84fd-e2ca89e1f3bd/resource/c382c819-b609-4b0e-937b-d310869da4a8/download/li_pajaro_ttem_data_20241120.zip
10 The Data2HSM via Gaussian Mixture Model tool ingests the AEM data and groups the data into a user-specified number of clusters that are interpreted as stratigraphic units in the hydrostratigraphic model (HSM). File contains a preliminary description of the Data2HSM via Gaussian Mixture Model tool. Tool expected to be publicly available in Early/Mid 2025. https://data.cnra.ca.gov/dataset/ee3ccd25-b626-481a-84fd-e2ca89e1f3bd/resource/14a82d4c-c6f7-4d13-8189-91cada79f867/download/bc_analysistools_data2hsm_gmm_20241003.pdf
10 The GeoPDNN (Geological Pseudolabel Deep Neural Network) is a semi-supervised machine learning tool that integrates point-based datasets - such as formation picks from lithologic well logs or individual AEM soundings- into plausible stratigraphic surfaces for a preliminary hydrostratigraphic model. File contains a preliminary description of the Data2HSM via GeoPDNN tool. Tool expected to be publicly available in Mid-late 2025. https://data.cnra.ca.gov/dataset/ee3ccd25-b626-481a-84fd-e2ca89e1f3bd/resource/ab9d4d5b-0c7a-4374-a3bc-1ad6f1c25621/download/bc_analysistools_data2hsm_geopdnn_20241003.pdf

Tags

  • sgma
  • geophysics
  • bulletin-118
  • geophysical-logs
  • hydrostratigraphic-model
  • aquifers
  • lithology-logs
  • basin-characterization
  • texture-model
  • california-department-of-water-resources

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