Data represents maximum up-estuary intrusion of the 1 ppt salinity contour. The lines represent 1000 ppt chloride per million, measured 1½ hours after high tide. This data contains contours for 1921-1990.

This dataset shows the distribution of fresh and saline water 10 m below the water table in the Superficial aquifer, in the Esperance groundwater area. Salinity categories are not defined further than 6,000 mg/L which has been used to represent the saltwater interface. This dataset is a derived location based on an assessment of data for the period November 2020 to November 2021. The 2016 Interpretation of TEMPEST Airbourne Electromagnetic Data from Esperance (Mira Geoscience) was also used in creating this dataset. This location can change pending known factors that impact the location of the seawater interface including the time of year, tidal movements, abstraction, recharge and throughflow. The full assessment of the SWI in this area is documented in report HR437 Esperance Seawater Interface Priority Area Assessment. This dataset is sourced from the Statewide Seawater Interface Project, funded by the Government of Western Australia under the State Groundwater Investigation Program. In the Esperance area, the project runs from April 2020 to March 2023 and the data are collected from: - Seawater interface monitoring (SWIM) bores installed or owned by the department - Downhole natural gamma and induction logging - Installation of data loggers and continuous static groundwater level (SWL) measurements from data loggers - Electrical conductivity (EC) depth profiling - Groundwater chemistry sampling. - Airborne electromagnetic (AEM) survey. The above data that is owned by the department can be downloaded from the Water Information Reporting (WIR) Portal or by contacting the Department. AEM survey data can be downloaded via the interactive geological map tool GeoVIEW.WA from the Department of Mines, Industry Regulation and Safety. Information on the SWI project can be found on the Western Australia State Government website (www.wa.gov.au).

A critical aspects of the uniqueness of coastal drought is the effects on salinity dynamics of creeks and rivers. The location of the freshwater-saltwater interface along the coast is an important factor in the ecological and socio-economic dynamics of coastal communities. Salinity is a critical response variable that integrates hydrologic and coastal dynamics including streamflow, precipitation, sea level, tidal cycles, winds, and tropical storms. The position of the interface determines the composition of freshwater and saltwater aquatic communities as well as the freshwater availability for water intakes. Many definitions of drought have been proposed, with most describing a decline in precipitation which has a negative impacts on water supply. Indices have been developed incorporating data such as rainfall, streamflow, soil moisture, groundwater levels, and snow pack. These water availability drought indices were developed for upland areas and may not be ideal for characterizing coastal drought. The availability of real-time and historical salinity datasets provides an opportunity for the development of a salinity-based coastal drought index. The challenge for the salinity data analysis is to characterize the salinity dynamics in response to drought while excluding responses attributable to the occasional and (or) periodic saltwater intrusion events. An approach similar to the Standardized Precipitation Index was modified and applied to salinity data obtained from sites in South Carolina and Georgia. Evaluation of the coastal drought index indicates that the index can be used for different estuary types, for regional comparison, and as an index for wet (high freshwater inflow) and drought conditions. This data release will provide all the supporting data for the journal article including salinity datasets (with estimated missing values) and the computed indices.

A critical aspects of the uniqueness of coastal drought is the effects on salinity dynamics of creeks and rivers. The location of the freshwater-saltwater interface along the coast is an important factor in the ecological and socio-economic dynamics of coastal communities. Salinity is a critical response variable that integrates hydrologic and coastal dynamics including streamflow, precipitation, sea level, tidal cycles, winds, and tropical storms. The position of the interface determines the composition of freshwater and saltwater aquatic communities as well as the freshwater availability for water intakes. Many definitions of drought have been proposed, with most describing a decline in precipitation which has a negative impacts on water supply. Indices have been developed incorporating data such as rainfall, streamflow, soil moisture, groundwater levels, and snow pack. These water availability drought indices were developed for upland areas and may not be ideal for characterizing coastal drought. The availability of real-time and historical salinity datasets provides an opportunity for the development of a salinity-based coastal drought index. The challenge for the salinity data analysis is to characterize the salinity dynamics in response to drought while excluding responses attributable to the occasional and (or) periodic saltwater intrusion events. An approach similar to the Standardized Precipitation Index was modified and applied to salinity data obtained from sites in South Carolina and Georgia. Evaluation of the coastal drought index indicates that the index can be used for different estuary types, for regional comparison, and as an index for wet (high freshwater inflow) and drought conditions. This data release will provide all the supporting data for the journal article including salinity datasets (with estimated missing values) and the computed indices.

Groundwater salinity presents a challenge to the management of water quality in the Indio subbasin of the Coachella Valley where a growing population is dependent primarily on groundwater for drinking water. The U.S. Geological survey, along with the Colorado River Basin regional water quality control board, are working to provide an assessment of salinity trends and sources in the Indio subbasin (California (CA) basin designation 7-21.01; California Department of Water Resources (2020). As part of this work, salinity data and other selected inorganic water quality data, along with well construction information, for wells with available total dissolved solids (TDS) or conductance data were compiled from published reports, public databases, and unpublished archives into a tabulated file, Indio_data_v2.txt. The database in this data release represents a synthesis of available data on groundwater salinity in the Coachella Valley, however it does not include all data ever published in the region. This database was updated in March, 2025 to include salinity data collected from groundwater samples through the year 2024. Version History Summary: First Published: July 2022 Version 2.0: July 2025

,This point dataset represents the location of gaging stations in the Sacramento-San Joaquin Delta and Suisun Marsh that have historic and statistical hydrologic data, specifically various river stage data. Stages are given in NAVD88, units feet. Specific stages are given for peak stages, 100-year stages produced under 2 separate US Army Corps of Engineers hydrology reports from 1976 and 1992, the year of previous peak stages cited by the 1976 and 1992 reports, and approximate typical tidal values as approximately estimated based on long term data records. This 2023 version of this datset replaces the prior 2020 version, and should be used as a complete replacement. The underlying analyses did not change, but the USACE peak observed stage field names from the prior version were corrected and supplemental USACE 50- and 100-year stages were added accordingly. In addition, the vertical datum conversion used at specific gages was added. The vertical datum conversion is based on DWR survey and North Central Regional Office information that is maintained for each gage station. The stage data was compiled by Karen Tolentino, engineer with Delta Levees, and by Joel Dudas, Senior Engineer in DWR's Division of Engineering, based on a wide variety of sources, including the HYDSTRA database, various historic bulletins, raw data, station histories, and other information provided by DWR's North Central Region Office, USGS, and other misc sources. They also adjusted all data to approximate NAVD88-related stages. Observed data periods of record varied widely by station, but go back as far as 1905. All peak values were derived from start of records until up to May, 2017.,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 3.5, dated April 12, 2023. 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 forwarded to GIS@water.ca.gov.,

The presence of salinity in shallow waters influences living resources and habitats within Gulf of Mexico estuaries. The salinity gradient is widely recognized as foundational in maintaining biological diversity and productivity of estuaries. A clear understanding of the factors controlling salinity and its variability in estuarine surface waters is essential for proper stewardship and for sustaining ecological structure and function. Salinity data are collected by numerous Federal, State, and local agencies and universities as part of routine data-collection programs. The U.S. Geological Survey compiled salinity data from existing online databases – all water samples were collected in Gulf of Mexico estuaries. The primary criterion for data from a station to be included in the compilation was a lengthy record of continuous collection using a data sonde programmed to at least hourly intervals. Stations that represented full estuarine gradients, from fresh to saline, were prioritized. Data were compiled from salinity stations in the five Gulf states and combined into one .txt file and one .feather file. Continuous data collection of salinity concentrations began at a few stations in the mid-1980s, and the number of stations with data sondes has increased over time for a total of 532,076 observations at 92 stations provided in this data release.

Annual report submitted by the DWR's Delta Modeling Section

Annual report submitted by the DWR's Delta Modeling Section

,This feature class is a vector file containing polygons that represent the flood control bypasses of the Sacramento and San Joaquin Rivers. Bypasses convey excess flood waters from rivers and streams onto designated lands to reduce flood risks to populated areas. It combines polygons the capacity coverage (which follows CLD Levee centerlines) from GEI Consutlants, Flood Project Inspection and Integrity Branch (FPIIB) capacity coverage, digitized areas from 2005 NAIP (Butte Basin and Butte Slough), and polygons digitized by Michael Ward -- SJR Bypasses (Eastside, Chowchilla Canal, and Mariposa).,20141015: The parent bypass layer was compiled by DWR, Northern Region Office using data supplied by various sources, as stated in the metadata, which is for display purposes in maps. The Yolo Bypass polygon has been substituted for the polygon developed by MWH Global Inc. in 2012 and was modified to more closely match previously reported acreages. The primary modifications are: 1) Removal of the Sacramento River Deep Water Channel 2) The west side of the bypass was modified to match the Central Valley Flood Protection Plan (CVFPP) economic impact dated 20110826 areas from Putah Creek to the end of the western levee. This layer was used in the CVFPP 2017 Update.,20210107: Prospect Island was added from parent file Delta_Islands_20140616.shp. It is not a legal boundary and is for representation only.,