Water Plan Planning Areas as part of the detailed Analysis’s Units (DAU) dataset. DAU boundaries match Cal-Fire dataset “cnty24k09_1_poly”.

Developed exclusively for Central Valley Flood Protection Plan (CVFPP) work. Specifically, this area has been delineated in an effort to define the analysis area for environmental analyses of various kinds. Once finalized, a two-mile buffer will be added and form the basis of the potential environmental impacts delineation for CEQA work. Systemwide Planning Area includes lands subject to flooding under the current facilities and operation of the Sacramento-San Joaquin River Flood Management System CWC§ 9611, CWC§ 9641(d, e) (completely contains the State Plan of Flood Control (SPFC) Planning Area). The CVFPP describes facilities and flood management problems in this area and proposes solutions, while not extending the State's responsibility (CWC§ 9603(b)). This feature class represents the Systemwide Planning Area. It is one of the three CVFPP Planning Areas. It is comprised of the following layers:,

This line feature class represents levee centerlines for 93 Levee Maintenance Agencies/Reclamation Districts in the Sacramento-San Joaquin Delta. The centerline features contain levee geometry classification that indicates whether a levee segment meets the FEMA’s Hazard Mitigation Plan (HMP) or USACE’s Public Law 84-99 (PL8499) Delta levee standards. There are four categories used in the classification of the centerlines: HMP, Below HMP, Minimally Below HMP, and PL84-99. The classification and other data associated with these centerlines were produced as results of the Levee Geometry Assessment analysis performed by the California Department of Water Resources Delta Levees and Environmental Engineering Branch in 2012. The centerlines used in this analysis are part of the dataset produced from the Delta Levee Anatomy Mapping Project in 2011 through a contract between DWR and the Geographic Information Center at California State University, Chico.

From the DAU boundaries in i03_DAU_county_cnty24k09 dataset: “Detailed Analysis Unit-(DAU) Convergence via County Boundary cnty24k09_1_poly, (*See metadata for CAL-FIRE cnty24k09_1_poly), State of California. The existing DAU boundaries were extracted via cnty24k09_1_poly, Northern Region Office (NRO) via ArcMap 10.1. DAU’s were sent out to: Northern Region Office (NRO), North Central Region Office (NCRO), South Central Region Office (SCRO) and Southern Region Office (SRO) respectively. Collaboration by Department of Water Resources, Region Office personnel, Michael L. Serna, NRO, Jason Harbaugh - NCRO, Cynthia Moffett - SCRO and Robert Fastenau - SRO with the final merge of all data into a cohesive feature class. This version was derived because a preexisting “dau_v2_105 nad27” Detailed Analysis Unit feature class that contained a multitude of variant sliver acreages along all DAU and county boundary lines through-out the State of California. Each Region Office was sent their respective features where they exposed the DAU’s sliver anomalies. They subsequently merged the variant slivers into the proper DAUs. Upon completion, the DAU feature classes were sent back for assemblage. These features are reachable by County\DAU. This allows the county boundaries, the DAU boundaries and the State of California Boundary to match Cal-Fire cnty24k09_1_poly.”

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This polygon feature class is a data set compiled by DWR employees in 2013 and represents the statewide Groundwater Management Plan (Plan) boundaries predating the Sustainable Groundwater Management Act (SGMA) requirements. Each polygon represents the area in which a Plan is to be implemented. The boundaries were provided to DWR by the affiliated public agency and compiled into a single statewide data set. Spatial plan boundaries were provided by agencies to DWR either via shapefiles or PDFs. PDFs were georeferenced and turned into GIS layers by DWR employees.This feature class is for legacy purposes only and will not be changed nor updated. It needs to be memorialized for spatial coverage of Groundwater Management Plans prior to SGMA and because SGMA only requires medium and high priority basins to have a Groundwater Sustainability Plan. The Plans outlined in this shapefile by medium and high priority basins are in effect until SGMA goes into effect. Some low and very low priority basins will likely use the existing plans to get funding for future basin management (since it is only voluntary for them to provide a Plan under SGMA, but they already have one in place). The data set is considered complete because of its legacy status. However, anyone using the data set will notice boundary inconsistencies, agency plan overlaps, mismatches, and other topology errors. The data set is based on boundary estimations and in the cases of medium and high priority basins will be outdated with in implementation of SGMA. Pre-SGMA Statewide Groundwater Management Plans based on legislative actions: AB3030 (signed into law in 1992), SB 1938 (signed into law in 2002), and AB 359 (signed into law in 2011). For Groundwater Management Plan documents please email SGMPS@water.ca.gov.There are no access nor distribution constraints.There will be no resource maintenance nor update frequency.

NOTE: The IRWM polygons overlap each other. This polygon Feature Class includes IRWM planning regions participating in the State of California Department of Water Resources IRWM grant program. The data will be included as a component of the DWR Atlas of GIS data and be utilized as the feature data set for GIS projects requiring location of IRWM planning regions. This dataset is not to be utilized for survey purpose and is not designed to that accuracy level. Size of initial data set is 622 KB. Including additional attributes, the dataset is not expected to exceed 700 KB in size. Updates to this data will be once a year or as needed in conjunction with the IRWM Regional Boundaries dataset updates. Some IRWM Regions may decide not to participate in the grant program and will be in the attribute table with no spatial reference. An attribute called “Status” may be added to the feature class table. The data steward will be in charge of updating the dataset and responsible for any versioning. The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR GIS Spatial Data Standards. DWR makes no warranties or guarantees, either expressed or implied, as to the completeness, accuracy or correctness of the data, nor accepts or assumes any liability arising from or for any incorrect, incomplete or misleading subject data. Comments, problems improvements, updates or suggestions should be forwarded to the official GIS Data Steward as available and appropriate. The Region Acceptance Process (RAP) is a component of the Integrated Regional Water Management (IRWM) Program Guidelines and is used to evaluate and accept an IRWM region into the IRWM grant program. The RAP is not a grant funding application; however, acceptance of the composition of an IRWM region (including the IRWM region’s boundary) is required for DWR IRWM grant funding eligibility. This dataset includes:-the boundaries of the most current IRWM Regions (as submitted to DWR by the respective IRWM planning region)-their RAP status (Accepted or Conditional) as conferred by DWR the year each entity participated in the RAP-a descriptive field noting the date of any subsequent IRWM boundary changes submitted and accepted by DWR.

Detailed center lines of the Sacramento-San Joaquin levee systems, and broken into singular segments of consistent-attribute sets. This version created from mapping from the 2007 Delta LIDAR. The use of high-resolution LiDAR, and the products derived from it, allow for levee anatomy to be captured for the surveyed area. The resulting data allows for the levee crown sections to be isolated and collapsed to a centerline, detailing the route of the levee system. This data can further be used for levee maintenance and management, flood modeling and prediction, as well as levee inventories. The data are therefore mostly the structural center lines of the levees, with some minor modifications as warranted. In the Delta Anatomy Mapping Project, all levee anatomies were delineated using slope grids built from available 2007 Delta LIDAR data points. LIDAR data points were converted to digital elevation models and subsequently into slope grids. Thresholds were identified that capture the levee crown, levee landside, levee waterside, ramps and toe ditches. Visual interpretations of slope thresholds were used in conjunction with heads-up digitizing to maintain smooth boundaries at a scale of 1:550. The delineation thresholds were derived from a combination of mapping scale, slope grid resolution and slope thresholds used for each anatomy classification. All anatomy has gone through internal quality control processes to ensure a minimum accuracy of +/- 3 feet. Anatomy data was further reviewed and tested by DWR for compliance with an interpretive mapping standard of 80% accuracy.Once the levee anatomy was created and accepted, isolation and export of the levee crown was used in conjucture with ET Geowizards to collapse the crown to a singular centerline which details the levee route. This data depicts the levee anatomy at the time of the LiDAR survey (2007) and are only accurate for that time. Users should be aware that temporal changes may have occurred since this data set was created and some parts of this data may no longer represent actual surface conditions. Changes in some linework and attribution were performed by CA DWR Division of Engineering in September, 2018, and current version was posted to DWR GIS Atlas at that time. This data set was produced by joint effort of DWR and Chico State University. Data were originally developed and supplied by the Geographic Information Center at California State University at Chico, under contract to California Department of Water Resources. DWR subsequently modified the linework in a few places along with the attribution for various levee characteristics of interest. The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standard version 3.1, dated September 11, 2019. DWR makes no warranties or guarantees — either expressed or implied — as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Comments, problems, improvements, updates, or suggestions should be sent to GIS@water.ca.gov

Department of Water Resources Hydrologic Region boundaries derived from i03_DAU_county_cnty2018.

,In the Delta Anatomy Mapping Project, all levee anatomies were delineated using slope grids built from available 2007 Delta LIDAR data points. LIDAR data points were converted to digital elevation models and subsequently into slope grids. Thresholds were identified that capture the levee crown, levee landside, levee waterside, ramps and toe ditches. Visual interpretations of slope thresholds were used in conjunction with heads-up digitizing to maintain smooth boundaries at a scale of 1:550. The delineation thresholds were derived from a combination of mapping scale, slope grid resolution and slope thresholds used for each anatomy classification. All anatomy has gone through internal quality control processes to ensure a minimum accuracy of +/- 3 feet.,Anatomy data was further reviewed and tested by DWR for compliance with an interpretive mapping standard of 80% accuracy. Once the levee anatomy was created and accepted, isolation and export of the levee crown was used in conjucture with ET Geowizards to collapse the crown to a singular centerline which details the levee route. This data depicts the levee anatomy at the time of the LiDAR survey (2007) and are only accurate for that time. Users should be aware that temporal changes may have occurred since this data set was created and some parts of this data may no longer represent actual surface conditions. Changes in some linework and attribution were performed by CA DWR Division of Engineering in September, 2018, and current version was posted to DWR GIS Atlas at that time,