The Watershed Boundary Dataset (WBD) is a comprehensive aggregated collection of hydrologic unit data consistent with the national criteria for delineation and resolution. It defines the areal extent of surface water drainage to a point except in coastal or lake front areas where there could be multiple outlets as stated by the "Federal Standards and Procedures for the National Watershed Boundary Dataset (WBD)" “Standard” (http://pubs.usgs.gov/tm/11/a3/). Watershed boundaries are determined solely upon science-based hydrologic principles, not favoring any administrative boundaries or special projects, nor particular program or agency. This dataset represents the hydrologic unit boundaries to the 12-digit (6th level) for the entire United States. Some areas may also include additional subdivisions representing the 14- and 16-digit hydrologic unit (HU). At a minimum, the HUs are delineated at 1:24,000-scale in the conterminous United States, 1:25,000-scale in Hawaii, Pacific basin and the Caribbean, and 1:63,360-scale in Alaska, meeting the National Map Accuracy Standards (NMAS). Higher resolution boundaries are being developed where partners and data exist and will be incorporated back into the WBD. WBD data are delivered as a dataset of polygons and corresponding lines that define the boundary of the polygon. WBD polygon attributes include hydrologic unit codes (HUC), size (in the form of acres and square kilometers), name, downstream hydrologic unit code, type of watershed, non-contributing areas, and flow modifications. The HUC describes where the unit is in the country and the level of the unit. WBD line attributes contain the highest level of hydrologic unit for each boundary, line source information and flow modifications.

This data release contains the GIS data supporting U.S. Geological Survey Open-File Report (OFR) 2005-1252, "The Geologic Map of Seattle—A Progress Report," published in 2005 by Kathy Goetz Troost, Derek B. Booth, Aaron P. Wisher, and Scott A. Shimel (https://doi.org/10.3133/ofr20051252). The OFR was prepared for the 2005 Washington Hydrogeology Symposium and describes the status of geologic mapping for Seattle, Washington, at the time. The map is the result of field mapping and compilation of subsurface geologic data during the years 1999–2004 and was funded by the City of Seattle and the U.S. Geological Survey. Data from more than 36,000 exploration points, geotechnical borings, monitoring wells, excavations, and outcrops were used in making the map. The northern part of the 2005 OFR and the supporting GIS data were subsequently published as two geologic maps: Booth, D.B., Troost, K.G., and Shimel, S.A., 2005, Geologic map of northwestern Seattle (part of the Seattle North 7.5’ X 15’ Quadrangle), King County, Washington: U.S. Geological Survey Scientific Investigations Map 2903, https://doi.org/10.3133/sim2903. Booth, D.B., Troost, K.G., and Shimel, S.A., 2009, Geologic map of northeastern Seattle (part of the Seattle North 7.5' x 15' quadrangle), King County, Washington: U.S. Geological Survey Scientific Investigations Map 3065, https://doi.org/10.3133/sim3065. The southern part of the 2005 OFR and the supporting GIS data were not subsequently published for various reasons. With the original authors' permission, the GIS data used to create the map shown in OFR 2005-1252 are being released here to best meet modern open-data standards and to allow for use in future studies and mapping. The data included in this data release are only those components necessary to create the map shown in OFR 2005-1252. The following map features were not available and are not included in this data release: bedding point data, faults, anticlines, and contact lines. OFR_2005-1252.gdb is an Esri geodatabase containing the following feature classes: ofr_2005_1252_geology_poly (1,068 features); ofr_2005_1252_fill_poly (424 features); ofr_2005_1252_seattle_fault_zone_poly (1 feature); ofr_2005_1252_wastage_landslide_deposits_poly (188 features); ofr_2005_1252_beds_line (6 features); and ofr_2005_1252_scarp_line (351 features). Metadata records associated with each of these elements contain more detailed descriptions of their purposes, constituent entities, and attributes. A shapefile (non-geodatabase) version of the dataset is also included, although due to character limits, some field names and text cells in the attribute tables were truncated relative to the equivalent values in the geodatabase. The authors ask that users of the geologic map data cite both the open-file report and the GIS data release: Open-File Report: Troost, K.G., Booth, D.B., Wisher, A.P., and Shimel, S.A., 2005, The geologic map of Seattle—a progress report: U.S. Geological Survey Open-File Report 2005-1252, https://doi.org/10.3133/ofr20051252. GIS data: Troost, K.G., Booth, D.B., Wisher, A.P., and Shimel, S.A., 2024, GIS data for U.S. Geological Survey OFR 2005-1252, The geologic map of Seattle—a progress report: U.S. Geological Survey data release, https://doi.org/10.5066/P93L6SPS.

Hydrological zones are a broad spatial framework grouping areas with similar hydrology. They are used to report on dryland salinity and acidification of inland waterways in the ‘Report card on sustainable natural resource use in agriculture – status and trend in the agricultural areas of the south-west of Western Australia (2013)’. Zone boundaries are derived from hydrological attributes associated with the best available soil-landscape mapping, Version 5.01. Show full description

This app displays a series of general information for an address, location, or where the user clicks in DC.Some information returned are:-Municipal Separate Storm Sewer System (MS4) area-Combined Sewer System (CSS) area-Watershed, Subwatershed, HUC12, HUC14, HUC16-Ward, ANC, SMD, and the address of the location-Census Tract and zip codeFor addresses along the borders of watersheds and sewer areas, further investigation should be taken. For hydrologic calculations and determinations, the USGS Watershed Boundary Dataset (WBD) should be referenced.DC Water operates a "separate" (MS4) and "combined" (CSS) sewers. Since the early 1900's, sewers constructed within the District have been separate systems and no new combined sewer systems have been built. These two independent piping systems: CSS mixes "sanitary" (sewage from homes and businesses) with stormwater while the MS4 is for "stormwater" only. In the District, approximately two thirds of the District is served by the MS4. The remaining one-third is served by the CSS. Areas highlighted in blue are MS4, in orange are CSS, and in green are direct drain areas that drain directly to streams and rivers. The MS4 system discharges into portions of the Potomac, Anacostia and Rock Creek drainage areas. The CSS drains to Blue Plains Advance Wastewater Treatment Facility.Visit DOEE - Water in the District Page or DOEE Environmental Mapping.For the USGS Hydrologic and Watershed Boundary Data for DC, visit this Link.Created with the Information Lookup Template from ESRIhttps://dcgis.maps.arcgis.com/home/item.html?id=54da82ed8d264bbbb7f9087df8c947c3

This is a tiled collection of the 3D Elevation Program (3DEP) and is one meter resolution. The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The elevations in this DEM represent the topographic bare-earth surface. USGS standard one-meter DEMs are produced exclusively from high resolution light detection and ranging (lidar) source data of one-meter or higher resolution. One-meter DEM surfaces are seamless within collection projects, but, not necessarily seamless across projects. The spatial reference used for tiles of the one-meter DEM within the conterminous United States (CONUS) is Universal Transverse Mercator (UTM) in units of meters, and in conformance with the North American Datum of 1983 ...

The dataset shows the location and spatial extent of aquatic ecosystems and their potential dependence on the surface expression of groundwater. It shows aquatic ecosystems at a scale of 1:100 000 and is best viewed at this scale. Not all ecosystems are present in the dataset, smaller aquatic ecosystems requiring a higher resolution are not displayed. Aquatic ecosystems that are known or likely to interact with groundwater in their hydrological cycle are potentially groundwater-dependent. The aquatic groundwater-dependent ecosystem (GDE) dataset shows the location of aquatic ecosystems and their GDE potential in the Fitzroy water planning area. The aquatic ecosystems included in the final dataset are categorised as: + Base-flow rivers + Wetlands + Estuarine and near shore marine + Springs. River base flow systems – River systems and associated riparian vegetation are unique ecosystems providing a habitat for threatened and priority flora and fauna, including native aquatic species and birds. Base flow is a component of the total stream flow that is supported by groundwater discharge. River permanence and flow duration indicate groundwater dependence during periods of low or no rainfall supporting differing ecosystem processes. There are several permanent riverine pools found on the main Fitzroy River channel. WETLANDS – wetlands that have a known or likely element of groundwater discharge in their hydrological cycle will be considered groundwater dependent. Wetlands are areas of seasonally, intermittently or permanently waterlogged or inundated land, whether natural or otherwise, such as lakes, swamps, pools, springs, and damplands. The hydrogeology of the Fitzroy water planning area is complex and variable. Hydrogeology mapping and a hydrogeologist should be consulted to determine the groundwater source of a wetland. ESTUARINE AND NEAR SHORE MARINE - Estuarine habitats are classified as components of an estuary, partially enclosed by land, with a continuous or intermittent connection to the ocean. With a freshwater influence from overland run-off, there is diluting and mixing of seawater. These habitats can include estuarine wetlands, lagoons, salt marshes, and mangroves. Near shore marine habitats are exposed to the waves and currents of the open ocean. Their water regimes are dominated by the ebb and flow of the ocean and tend to have a high salinity, normally greater than 33%. These habitats include seagrass meadows, coral, and stromatolites. The Fitzroy, May, Meda, and Robinson Rivers flow into the King Sound, supporting many different near shore marine habitats. Seagrass meadows, mangrove forests and salt flats are known to occur in and around the King Sound. SPRINGS - Springs provide a permanent source of freshwater and are recognised as important aquatic ecosystems found throughout the Australian landscape. The occurrence of permanent water in arid landscapes provides stable long-term habitat, critical to flora and fauna during dry periods, especially in the north-western region of Western Australia. A spring can be described as having a permanent discharge or flow of groundwater at the surface.

Overview: The model of watershed hydrology and water management used for the Lower Nooksack Water Budget is Topnet-WM, developed for Water Resources Inventory Area 1 (WRIA 1) in an effort led by researchers from Utah State University, as reported in peer-reviewed publications (Bandaragoda et al., 2004; Ibbitt and Woods, 2004; Tarboton, 2007). The model has also been applied, at finer spatial resolution, to the Fishtrap Creek and Bertrand Creek watersheds (Bandaragoda, 2008; Bandaragoda and Greenberg, 2009). The model processes of Topnet-WM are described in detail in Chapter 2 Model Processes. The daily meteorological variables required by Topnet-WM are precipitation, temperature (minimum and maximum), and wind speed.

Prior to the Lower Nooksack Water Budget project, WRIA 1 Topnet-WM used interpolated climate data (1946-2006) from 19 weather stations located within or near the WRIA 1 boundary. A significant component of the Lower Nooksack Water Budget Project was to update Topnet-WM to use the high resolution (1/8 lat/long degree; approximately one data point every 8 miles) gridded climate dataset that is updated and distributed, on an ongoing basis, by the University of Washington (UW) Land Surface Hydrology Research Group1 , following methods described in Maurer et. al. (2002) and Hamlet and Lettenmaier (2005). This dataset includes daily precipitation, wind speed, and daily maximum and minimum temperatures over the 1915 through 2011 water years (October 1 through September 30).

Figure 1 shows the distribution of the updated mean annual precipitation distribution derived from the Lower Nooksack Water Budget Topnet-WM gridded climate data for the 172 drainages (black dots) in WRIA 1. The lowest annual precipitation values are around Lummi Island and Bellingham (31-38 inches per year) and the highest precipitation values are near Mount Baker (121-207 inches per year). The increase in annual precipitation follows a gradient of increase from the west coast of the watershed to the eastern mountains, reflecting the role of orographic uplift of moist oceanic air masses in generating precipitation in this region.

Purpose: The purpose for updating climate data used for watershed model inputs is to use the most current and up to date datasets. For the Lower Nooksack Water Budget Topnet-WM model, this includes new Snotel stations, an additional 8 years of daily climate data, and a higher resolution data product, compared to the initially developed Topnet-WM (Tarboton, 2007), which was populated with climate data ending in 2004. Updated climate data helps build our knowledge of the watershed system, since we have more information about when and where water is input to the system as rain and/or snow.

This resource is a subset of the Lower Nooksack Water Budget (LNWB) Collection Resource.

Overview: Land cover mapping represents the coverage of vegetation, bare, wet and built surfaces (developed and natural surfaces) at a given point in time. The existing land cover map was developed by Whatcom County Planning and Development Services (PDS) during spring of 2012 for the Lower Nooksack Water Budget. The dataset represents ground conditions between 2006 and 2010. The project team created the existing condition land cover dataset by combining local and regional datasets to get the most accurate and current data for the U.S. and Canadian portions of WRIA 1. The development of the existing land cover map includes 14 land cover categories; each has a unique impact on the water balance. The agricultural land cover class was further classified into crop types.

Land cover and crop types influence evapotranspiration and infiltration, playing an important role in determining the watershed’s water balance. Land cover data provides information used to parameterize the water movement through the vegetation canopy and water demand of plant evapotranspiration in the estimation of the water budget by the hydrology model.

Land cover changes over time, as exemplified by comparing the existing and historic land cover data in WRIA 1, displayed in Figure 1 and Figure 2. Historic land cover mapping developed by Utah State University (Winkelaar, 2004) as part of the WRIA 1 Watershed Management Project was used to represent land cover/land use for the undepleted flow simulations. This work was done using a suite of studies and ancillary datasets, including turn of the century GLO maps and NRCS soils data. Methods and sources more thoroughly described in Mapping Methodology and Data Sources for Historic Conditions Landuse/ Landcover Within Water Resource Inventory Area 1 (WRIA1) Washington, U.S.A. The historic land cover map includes 10 land cover classes.

Purpose: Within the Topnet-WM hydrologic model used to estimate the Lower Nooksack Water Budget, the local land cover type is used to parameterize the water movement through the vegetation canopy and water demand for plant evapotranspiration, as described in detail in Chapter 2: Water Budget Model. Water input to the canopy comes from rainfall, snowmelt, and irrigation. The process of some water retention by the canopy is known as interception. Potential evapotranspiration is first satisfied from the canopy interception storage. Water that passes through the canopy to the soil becomes input to the vadose zone soil storage. The vadose zone is the unsaturated soil region above the water table. Potential evapotranspiration not satisfied from the interception storage becomes potential evapotranspiration from the vadose zone soil storage. The model calculates crop evapotranspiration using the Penman-Monteith method. Irrigation requirements are calculated using potential crop evapotranspiration and irrigation efficiency. Land cover mapping also identifies impervious surfaces where water directly runs off, as well as lakes and wetlands where water is stored and evaporates.

This resource is a subset of the Lower Nooksack Water Budget (LNWB) Collection Resource.