The latest 12-Digit HUC boundaries, along with the calculated US Census population within each subwatershed area. HUC boundaries are from the USGS National Hydrography Watershed Boundary Dataset. US Census 2020, 2010, and 2000 Block Data was acquired through NC OneMap.Subwatershed population estimates were derived from the 2020, 2010, and 2000 Block population data from the US Census. The ArcGIS Tool "Summarize Within" was used to calculate the total population within each subwatershed for each census period. As census blocks and subwatershed boundaries do not always coincide, the calculated population is only an estimate and is not to be used as an exact figure.

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.The features contained in the data were reduced to the watershed boundaries intersecting Kankakee County, Illinois. Additionally, the SQ_MILES field was added to calculate square miles (NAD 1983 (2011) State Plane Illinois East) for each boundary.

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

Watershed boundaries for eight sub-watersheds within the Baltimore Ecosystem Study LTER were delineated at 1-meter and 30-meter spatial resolutions. Watershed boundaries were used to calculate total area and extract and summarize existing land cover data (1m 2016 Chesapeake Conservancy Land Cover Data Project; 30m 2011 USGS National Land Cover Database). Two spatial resolutions are included to accommodate the needs of studies with different input requirements. In addition, providing data at both spatial scales highlights the importance of spatial resolution on study results.

The small watersheds are the minor unguaged rim watersheds that provides the additional surface water inflow into the stream network and subsurface inflows of the C2VSimFG. There are a total of 1,024 small watersheds along the northern, southern, western, and eastern boundaries of the Central Valley that covers 6,662 square miles. The dataset is a boundary condition of the model used to stimulate the time-dependent surface and subsurface flows from the small watersheds outside the Central Valley. The C2VSimFG uses the monthly surface water discharge, recharge, and subsurface groundwater flows data from the small watersheds to calculate the output water budgets. The small watersheds are delineated using the USGS Watershed Boundary Dataset (WBD) HUC 12. The areas calculated for this data using the WGS 1984 Web Mercator projection may not reflect the actual areas used in the C2VSimFG model.

Impervious area was calculated from the National Land Cover Dataset, 2006. Watershed boundaries are Ohio Department of Natural Resources (SubShedZ).

Percent of impervious cover in a watershed can be used as a guide for determining appropriate practices. See the Center for Watershed Protection's report: file://dpsterfps01.ad.cuyahoga.cc\GIS\GIS%20DATA\Planning%20Commission\Greenprint\Documents\CenterForWatershedProtection\ELC_USRM1v2trs.pdf

Shaver's Creek Watershed High-resolution Lidar data (average 10 points/m2 with 2-4 cm vertical accuracy) were collected for the Susquehanna Shale Hills CZO (Area = 169.80901 km2) during leaf-on (7/14/2010-7/16/2010) and full leaf-off (snow clear) (12/3/2010-12/9/2010). Data acquisition, ground-truthing, vegetation surveys and processing were funded and coordinated by NSF Award EAR-0922307 (PI. Qinghua Guo). Data was collected with the Gemini 06SEN/CON195 and digitizer 08DIG017 system installed on the Cessna 337 tail number N337P. Total points: 2,840,000,000 pts. Area: Area = 169 km2. Shot density: 13.54 points/m2. Survey report, with details about data processing: http://opentopo.sdsc.edu/metadata/2010_NCALM_CZO_Project_Report.pdf. All files are in ArcGRID format. COMMENTS: Additional LiDAR data for the Commonwealth of Pennsylvania are available through the PA Department of Conservation and Natural Resources' PAMAP program, at the link provided in the sidebar. Shaver's Creek and Shale Hills watershed boundary DEM files contain 0.5 meter resolution DEM from LiDAR collected in February 2011. Grid cell dimension = 0.5 x 0.5 m, Projection = '+proj=utm +zone=18 +ellps=GRS80 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs '(UTM 18N), Gaussian Filter with square 4 x 4 m smoothing window applied to data to produce DEM. Boundary Delineation Algorithms consisted of three steps: 1) Calculate Upslope Contributing Area of catchment with DEM using multiple algorithms; 2) Model channel network using the DEM and upslope contributing area map(s); 3) Input channel network and DEM into a basin delineation algorithm. These steps were performed in SAGA GIS, which uses same algoritms as in TauDEM (ArcMap extension). ***Dataset DOI:10.5069/G9VM496T

Calibration of hydraulic models require careful selection of input parameters to provide the best possible modeling outcome. Currently the selection of hydraulic resistance or 'n' values for these models is a subjective process potentially exposing models to critical review . A process is needed to objectively estimate n-values so everyone responsible for model calibration arrives at the same answer. Use of standard elevation products can support this effort. This dataset is presented as supplemental information for a journal article describing the process of using the root mean square average of elevation standard deviation from lidar derived 1 m rasters to objectively estimate the boundary roughness conditions of a watershed bare earth surface as part of the total hydraulic roughness needed for modeling overland flows in forested drainages. A GIS tool has beeen developed to support investigators who need to objectively estimate boundary roughness for their hydraulic modeling applications.

Description

This file contains the supplementary data to accompany ‘Rivers and lakes in Western Arabia Terra: The Fluvial catchment of the ExoMars 2022 rover landing site’

Peter Fawdon (peter.fawdon@open.ac.uk). The Open University, Walton Hall, Milton Keynes MK7 7EA United Kingdom,

All data is supplied in a equirectangular projection centered on Oxia Planum at 335.45deg east following Fawdon et al., (2021) A geographic framework for exploring the ExoMars rover landing site at Oxia Planum, Mars

Shapefile data

01_Pourpoints

Point data used to calculate Oxia Planum model watersheds

02_Watersheds

Polygons delimiting the extent of the Oxia Planum model watersheds

03_Channels

All channels observed in CTX data within the model watersheds.

‘Channel_ty’ field has 5 values: WFF, Wide Flat Floored. NUS - U-section. LRC, Low Relief channels. SLR, sinuous ridges. INT, channels within impact craters. INF, Inferred or possible channel pathways

04_Lakes

All possible lakes identified in the within the model watersheds with the numbers of morphological indicators for each possible lake.

‘Type’ field has 4 values: 1, Large Crater lakes. 2, Rimless Crater lakes. 3. Irregular Dark depressions. 4, possible sediment fans.

Geomorphological features recorded are: Inlets, Outlets, Sediment fans, Interior channels, Smooth floor, Strandlines and Concentric albedo changes.

Possible maximum models volumes have been calculated for some lakes using the volume difference between unfilled and filled MOLA DEM within the boundary of the possible lake as defined by where the fill hillshade = 180.

05_StreamOrder

Strahler stream order for the model flow accumulation pathways for the model watersheds areas.

Raster Data

Mars_MGS_MOLA_DEM_mosaic_global_463m_MC11_PourPoint_OxiaBasin.tif

Mars_MGS_MOLA_DEM_mosaic_global_463m_MC11_PourPoint_OxiaBasin_fill.tif

Mars_MGS_MOLA_DEM_mosaic_global_463m_MC11_PourPoint_OxiaBasin_fill_hillshade.tif

Extract from the methord section of ‘Rivers and lakes in Western Arabia Terra: The Fluvial catchment of the ExoMars 2022 rover landing site’

Geomorphological observations of fluvial features were made using CTX, 6 meter/pixel data at a scale of 1:50,000, georeferenced to High Resolution Stereo Camera MC11 quadrangle mosaic basemap (HRSC; Gwinner et al., 2016; Neukum et al., 2004). THermal EMission Imaging System (THEMIS; Christensen et al., 2013) night and daytime IR global mosaics were used to inform identification of features observed in the CTX data, and Colour and Stereo Surface Imaging System (CaSSIS; Thomas et al., 2017) images were used where available for colour interpretation. Mars Orbital Laser Altimeter (MOLA; Zuber et al., 1992) data were used for topographic information. Using these data, a fluvial (valley/channel and sinuous ridges) and lacustrine features was identified. After the initial survey, a topographic flow accumulation model was used to identify areas to revise where the model suggested channels might be present, and these were then searched more closely for any subtle morphological evidence of fluvial landforms. This iterative, multi-data process enabled many more fluvial systems to be identified than using one dataset alone.

To determine the watershed area for Oxia Planum (Figure 1), the ArcMap 10.5 Spatial Analyst ‘ArcHydro’ toolset (Esri, 2016) was used to calculate a model of flow accumulation grids and a drainage network map using topographic data from the MOLA DEM (Smith et al., 2001). Areas in the DEM that created sinks or basins were filled prior to calculating flow direction and accumulation. It is important to note that these processing steps ‘fill in’ areas of low-lying terrain and impact craters, as well as unwanted error and noise in the DEM. These ‘filled in’ areas create model flow pathways stretched across basins that were retained to identify where ponding may have occurred and where the model flow is likely to deviate from the geomorphic observations.

The watershed and contributory areas were calculated using the flow accumulation model upslope of two pour points located in the Oxia Basin. The location of both pour points (see Figure 2) was based on the correspondence of preliminary model flow accumulation paths calculated for the whole MC-11 Quad and geomorphological features resolved in the MOLA DEM. The eastern pour point (the lowest point in the ‘fan’ watershed) was located where the channel of Coogoon Valles opens out into Oxia Basin at the highest elevation of the sediment fan remnants. The northern pour point (the lowest point in the basin watershed) was located at the lowest point of the Oxia Basin leading northwards to Chryse Planitia. The watershed is defined where the flow accumulation is 0 (i.e. there are no cells from which water would flow). The pour points, their watersheds, and the flow accumulation pathways were converted to Strahler stream order (Strahler, 1957). 

This high-level metadata data document will be supplemented with detailed regional metadata at a later date. The NHDPlusV2 is an integrated suite of application-ready geospatial data sets that incorporate many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). Interest in estimating stream flow volume and velocity to support pollutant fate-and-transport modeling was the driver behind the joint USEPA and USGS effort to develop the initial NHDPlus, referenced in this document as NHDPlusV1. NHDPlusV1 has been used in a wide variety of applications since its initial release in the fall of 2006. This widespread positive response prompted the multi-agency NHDPlus team to develop NHDPlus Version 2 (NHDPlusV2). The NHDPlusV2 includes a stream network (based on the 1:100,000-scale NHD), improved networking, naming, and "value-added attributes" (VAA's). NHDPlusV2 also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first broadly applied in New England, and thus dubbed "The New-England Method". This technique involves "burning-in" the 1:100,000-scale NHD and building "walls" using the national Watershed Boundary Dataset (WBD). The hydro-enforced digital elevation model (DEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. An interdisciplinary team from the USGS, USEPA and contractors, has found this method to produce the best quality NHD catchments using an automated process. The VAAs include greatly enhanced capabilities for upstream and downstream navigation, analysis and modeling. Examples include: retrieve all flowlines (predominantly confluence-to-confluence stream segments) and catchments upstream of a given flowline using queries rather than by slower flowline-by-flowline navigation; retrieve flowlines by stream order; select a stream level path sorted in hydrologic order for stream profile mapping, analysis and plotting; and, calculate cumulative catchment attributes using streamlined VAA hydrologic sequencing routing attributes. The VAAs include results from the use of these cumulative routing techniques, including cumulative drainage areas, precipitation, temperature, and runoff distributions. Several of these cumulative attributes are used to estimate mean annual flow and velocity as part of the VAAs. NHDPlusV2 contains a snapshot (2012) of the 1:100,000-scale NHD that has been extensively improved over the snapshot used in NHDPlusV1. While these updates will eventually be stored in the central NHD repository at USGS, this will not be accomplished prior to distribution of NHDPlusV2. NHDPlusV2 users may not make updates to the NHD portions of NHDPlusV2 with the intent of sending these updates back to the USGS. Updates to the 1:100,000-scale NHD snapshot in NHDPlusV2 should be sent to the USEPA as the primary steward. Purpose: The geospatial data sets included in NHDPlusV2 are intended to support a variety of water-related applications. They already have been used in an application to develop estimates of mean annual streamflow and velocity for each NHDFlowline feature in the conterminous United States. The results of these analyses are included with the NHDPlusV2 data. NHDPlusV2 serves as the sample frame for the stream and lake surveys conducted by the USEPA under the National Aquatic Resources Surveys program. A water-quality model developed by the U.S. Geological Survey (USGS) called SPARROW (Spatially Referenced Regressions on Watershed Attributes), can utilizes the NHDPlusV2 network functionality to track the downstream transport of nutrients, sediments, or other substances. NHDPlusV2 water bodies and estimates of streamflow and velocity are used in SPARROW to identify reservoir retention and in-stream loss factors. NHDPlusV2 climatic and land surface attributes can be used in SPARROW to identify potential factors in the delivery of nutrients from the land surface to streams. NHDPlusV2 data is also being used in select areas for a USGS Web-based application, called StreamStats. StreamStats provides tools to interactively select any point in the implemented areas, delineate watersheds, and to obtain streamflow and watershed characteristics for the selected point. NHDPlusV2 has been designed to accommodate many users' needs for future applications. NHDPlusV2 provides the framework and tools necessary to customize the behavior of the network relationships as well as building upon the attribute database, for which the user can assign their own data to the network.

The latest 8 and 10 digit HUC boundaries, along with the calculated US Census population within each subbasin and watershed for 2020, 2010, and 2000.

HUC boundaries are from the USGS National Hydrography Watershed Boundary Dataset. US Census 2020, 2010, and 2000 Block Data was acquired through NC OneMap.

Subbasin and watershed population estimates were derived from the 2020, 2010, and 2000 Block population data from the US Census. The ArcGIS Tool "Summarize Within" was used to calculate the total population within each subbasin and watershed for each census period. As census blocks and HUC boundaries do not always coincide, the calculated population is only an estimate and is not to be used as an exact figure.

This feature layer delineates Source Water Protection Areas (SWPAs) for community and non-community, non-transient public drinking water supplies in New Hampshire. These areas are critical to the protection of drinking water sources and include watershed boundaries for surface water intakes as well as groundwater sources under the direct influence of surface water (GWUDI).SWPAs were delineated using a digital hydrologic unit boundary dataset based on 12-digit Hydrologic Unit Codes (HUC-12), which represent sub-watershed level boundaries. These delineations allow for a more accurate understanding of the land areas that directly contribute to public water sources, enabling targeted management strategies to reduce contamination risk.This dataset supports source water protection planning, permitting, land-use decision-making, and emergency response, and is used by water system operators, municipal planners, regulators, and environmental professionals to protect the integrity of New Hampshire’s drinking water supplies.Key Uses Include:Identifying contributing areas to public water supply sourcesSupporting regulatory review and permittingGuiding land-use and development decisionsAssisting emergency response efforts during contamination eventsPrioritizing protection and conservation effortsAttributes:MASTERID – Unique identifier for the source protection areaSYSTEM_ID – ID of the public water systemALLID – Combined unique identifier for source and systemSOURCE_IDS – List of associated source IDsNAME – Name of the water systemADDRESS – System addressTOWN – Municipality where the system is locatedSYSTEM_ACT – Indicates whether the system is activeSYSTEM_TYP – Type of water system (e.g., community, non-community)SYSTEM_CAT – Category of system based on usage or populationPOPULATION – Estimated population served by the systemDWPA_TYPE – Type of Drinking Water Protection Area (e.g., surface, GWUDI)DWPA_RAD – Radius of delineation used, if applicableShape.STArea() – Calculated area of each polygonShape.STLength() – Calculated perimeter lengthOBJECTID – Unique object ID assigned by the GIS database

The important attributes are nzsegment (primary key), which can be used to join the watershed polygons to the river network, and the old_nzreach (which can be used to retrieve values from REC1 river classification, and other previously calculated properties). The shape_area gives the area of the watershed in meters squared. REC2 (River Environment Classification, v2.3)The River Environment Classification (REC) is a database of catchment spatial attributes, summarised for every segment in New Zealand's network of rivers. The attributes were compiled for the purposes of river classification, while the river network description has been used to underpin models.Typically, models (e.g. CLUES and TopNet) would use the dendritic (branched) linkages of REC river segments to perform their calculations. Since its release and use over the last decade, some errors in the location and connectivity of these linkages have been identified. The current revision corrects those errors, and updates a number of spatial attributes with the latest data.REC2 provides a recut framework of rivers for modelling and classification. It is built on a newer version of the 30m digital elevation model, in which the original 20m contours were supplemented with, for example, more spot elevation data and a better coastline contour. Boundary errors were minimised by processing contiguous areas (such as the whole of the North Island) together, which wasn't possible a decade ago. Major updates include the revision of catchment land use information, by overlaying with the latest land cover database (LCDB3, current as at 2008), and the update of river and rainfall statistics with data from 1960-2006.The river network and associated attributes have been assembled within an ArcGIS geodatabase. Topological connectivity has been established to allow upstream and downstream tracing within the network. REC2 can be downloaded as a zip file and used directly in ArcMap. Alternatively, the layers can be extracted as shape files.NIWA acknowledges funding from the Terrestrial and Freshwater Biodiversity Information System (TFBIS) towards the preparation of REC v2.

Miscellaneous Hydrology Tools contains three tools for performing hydrologic function. They are find inflow cells along the border of a polygon, trace flow, and find the longest stream within a watershed.

Note: This layer does not have clickable pop-ups at this time.Watersheds, also called drainage or catchment basins, are areas of land where precipitation drains into a common body of water such as a lake, river, or ocean. This includes precipitation from clouds like rain or snow, groundwater, and other bodies of water within the basin. Watersheds are powerful components of the natural landscape, and it is important to understand the factors that impact their condition. The size and shape of a drainage basin is determined by many features of its landscape. Often, the first that comes to mind is an area’s topography. The steepness of hills and mountains, along with the distance between a precipitation source and bodies of water, also determine how quickly it reaches its destination. Additionally, different soil types impact water movement, with some types (like sand) much more permeable than others (like clay). If the surface is too impermeable for precipitation to reach the soil in the first place, which is the case in developed areas covered by roofs and pavement, it forms runoff and reaches bodies of water without spending time as groundwater. Extremely large drainage areas are made of a number of tributary basins, which collect precipitation in streams and then deliver water to the major rivers. Watersheds can be made of any number of smaller drainage basins, which is called a river system.The elevated boundary between areas drained by different basins is called a divide, and a continental divide completely separates large river systems to different regions of a continent. In North and South America, the Great Continental Divide runs along the peaks of the Rocky Mountains and Andes, with water to the west running into the Pacific Ocean and to the east into the Atlantic. Another continental divide exists along the Himalayan Mountains in South Asia and continues along the coast of the Arabian Peninsula and eastern Africa, directing precipitation into the Indian Ocean. On the other side of this divide, to the north of the Himalayas, exists a feature called an endorheic basin—in these regions, precipitation never reaches an ocean, but is retained in a smaller body of water like a lake or inland sea.Knowing the extent of watersheds is important for both natural and sociopolitical reasons. Scientists interested in hydrology and ecology often study entire drainage basins because the majority of the precipitation, sediments, nutrients, and pollutants flowing through a watershed originated there, too. Many conservation efforts protect watersheds as holistic units as well, called watershed management, and some countries and states even have governing bodies for basins in their territory. In the field of geopolitics, the study of how international relations are influenced by geographical factors, watersheds can be the cause of conflict or of harmony through mutual governance and accountability.This map layer was created using a model that predicts water flow with elevation data. It separates one watershed into two, by predicting flow then using GIS to add additional information to the model such as catchment boundaries, lake shorelines, and rivers.Each time a divide is created, the model makes a new level—these levels are called hydrologic units. Hydrologic units break the globe up into regions, subregions, basins, subbasins, watersheds and sub watersheds. Each hydrologic unit has a unique code called a hierarchical hydrologic unit code (HUC). Regions, for example, have a two-digit code. An additional two digits are added for each subsequent scale until sub watersheds, which has twelve digits. Not all of the watersheds are clickable at this time. Check back as we add data for areas outside the United States.Watershed conservation is a very important part of keeping water clean and safe. The Nature Conservancy explains that there are a lot of ways to help protect your watersheds, like conserving water, disposing of waste and chemicals safely, or choosing to walk or bike instead of drive. Add the Protected Areas layer to the map to find the areas of your watershed that need special care.

DefinitionThis indicator identifies the prevalence of plant and animal invasives in aquatic habitats within the Midwest Landscape. It prioritizes areas based on the number of invasive species records per acre of aquatic habitat for each HUC12 watershed. Pixels can take the following values:1 – >0.75 aquatic invasives per acre of water body2 – 0.25-0.75 aquatic invasives per acre of water body3 – 0.006-0.25 aquatic invasives per acre of water body4 – 0.001-0.005 aquatic invasives per acre of water body5 – 0 aquatic invasive recordsSelectionThis indicator was chosen as a targetable, important feature of the MLI goals that will be used to track conditions over time and prioritize areas for conservation. Indicators were defined through elicitation and prioritization exercises with federal and state participants. Criteria for the indicators includes 1) actionable, 2) measurable, 3) relevant to multiple groups across the region, and/or 4) representative of other social and/or environmental values. Input Data & Mapping StepsThis indicator originates from the USGS Nonindigenous Aquatic Species database, the USGS Watershed Boundary Dataset, and the U.S. Fish and Wildlife Service National Wetlands Inventory. To create this layer, MLI partners, members, and staff completed the following mapping steps: projected all input data to NAD83 (2011) UTM Zone 15N, displayed XY invasive species locations as points, joined the invasive species data with HUC12 watershed boundaries to obtain a count of invasive species found in each watershed, and joined water body boundaries with HUC12 watershed boundaries to obtain the area in acres of water bodies within each HUC12. Next, we calculated the number of invasives per acre of water body, and converted the polygons to a 30m raster. Then, we clipped the raster to the water body boundaries from the National Wetlands Inventory, and classified the clipped raster into the following categories: 1 – >0.75 aquatic invasives per acre of water body, 2 – 0.25-0.75 aquatic invasives per acre of water body, 3 – 0.006-0.25 aquatic invasives per acre of water body, 4 – 0.001-0.005 aquatic invasives per acre of water body, 5 – 0 aquatic invasive records. Finally, we removed highly altered areas using our Highly Altered Areas mask. For full mapping details, please refer to the Midwest Conservation Blueprint 2024 Development Process. For a complete download of all Blueprint input and output data, visit the Midwest Conservation Blueprint 2024 Data Download.

The Subdivision Map Act requires that agencies imposing fees have a general drainage plan for the fee area, a special fund for the fees and an equitable distribution of the fees prior to implementation. Since the District does not have land use authority, it cannot implement drainage fees directly. The District must therefore request that the County and/or local cities adopt drainage fees within their jurisdictions for the District. The District generally agrees to create the special funds for the fees and to prepare an ADP. The ADP is a document specifically prepared for the County and cities to adopt. The Area Drainage Plan is essentially the Master Drainage Plan with additional language supporting the costs and distribution of the fee within the plan area. To ensure the equitable distribution of fees, the ADP/MDP boundaries are generally based on watersheds. The total costs of facilities within the watershed are first calculated. The watershed area is then adjusted to discount publicly owned lands and areas on steep slopes not likely to develop. Finally, the total facility cost is divided by the revised watershed area to determine a per acre fee for the plan area. Due to State Law, the collection of drainage fees varies depending on the type of development. Developments falling under the Subdivision Map Act (those requiring a division of lands) pay fees on a per acre basis. Developments falling outside of the Subdivision Map Act (known as discretionary developments) can only be assessed fees based on their impacts to the watershed. The ADP Rules and Regulations state that these impacts can be related to the amount of impervious surface area that the development creates. Therefore, discretionary developments are charged not on a gross acreage basis, but on the total impervious acreage created by their development.

REC2 (River Environment Classification, v2.5) - June 2019 [Hosted Feature Layer]This service depicts rivers as lines and catchments as polygons The River Environment Classification (REC) is a database of catchment spatial attributes, summarised for every segment in New Zealand's network of rivers. The attributes were compiled for the purposes of river classification, while the river network description has been used to underpin models. Typically, models (e.g. CLUES and TopNet) would use the dendritic (branched) linkages of REC river segments to perform their calculations. Since its release and use over the last decade, some errors in the location and connectivity of these linkages have been identified. The current revision corrects those errors, and updates a number of spatial attributes with the latest data. REC2 provides a re-cut framework of rivers for modelling and classification. It is built on a newer version of the 30m digital elevation model, in which the original 20m contours were supplemented with, for example, more spot elevation data and a better coastline contour. Boundary errors were minimised by processing contiguous areas (such as the whole of the North Island) together, which wasn't possible when it was originally created.Major updates include the revision of catchment land use information, by overlaying with the land cover database (LCDB3, current as at 2008), and the update of river and rainfall statistics with data from 1960-2006. The river network and associated attributes have been assembled within an ArcGIS geodatabase. Topological connectivity has been established to allow upstream and downstream tracing within the network. REC2 can be downloaded or streamed and used directly in ArcMap. (A file geodatabase version for ArcGIS of REC2 can be downloaded as a zip file and used directly for analyses in ArcMap from here)This layer is using Esri's ArcGIS Online Optimizations for fast rendering.This is REC2 (Version 5) , June 2019 - a publicly available dataset from NIWA Taihoro Nukurangi.NIWA acknowledges funding from the MBIE SSIF towards the preparation of REC v2.5Coordinate Reference System: NZTM (New Zealand Transverse Mercator, EPSG: 2193)Geometric Representation of Rivers: LinesExtent (Bounding Box):

Top(Latitude) -33.9534Bottom(Latitude) -47.4867

Left (Longitude) 166.2634

Right (Longitude) 178.9733

Riverlines table Attributes associated directly with network:

Field Type Description

Catarea Real Watershed area in m2 CUM_Area Real Area upstream of a reach (and including this reach area) in m2. Nzsegment Integer Reach identifier to be used with REC2 (supercedes nzreach in REC1).

Lengthdown Real The distance to coast from any reach to its outlet reach, where the river drains (m). Headwater Integer Number (0) denoting whether a stream is a “source” (headwater) stream. Non-zero for non-headwater streams.

Hydseq Integer A unique number denoting the hydrological processing order of a river segment relative to others in the network.

StreamOrder Integer A number describing the Strahler order a reach in a network of reaches.

euclid_dist Real The straight line distance of a reach from the reach “inlet” to its “outlet”. upElev Real Height (asl) of the upstream end of a reach section in a watershed (m). downElev Real Height (asl) of the downstream end of a reach section in a watershed (m).

upcoordX Real Easting of the upstream end of a river segment in m (NZTM2000). upcoordY Real Northing of the upstream end of a river segment in m (NZTM2000). downcoordX Real Easting of the downstream end of a river segment in m (NZTM2000).

downcoordY Real Northing of the downstream end of a river segment in m (NZTM2000). sinuosity Real Actual distance divided by the straight line distance giving the degree of curvature of the stream nzreach_re Integer The REC1 identifiying number for the corresponding\closest reach from REC1 (can be used to retrieve the REC management classes) headw_dist Integer Distance of the furthermost “source” or headwater reach from any reach (m). Shape_leng Real The length of the reach (vector) as calculated by ArcGIS. Segslpmean Real Mean segment slope along length of reach.

LID Integer Lake Identifier number(LID) of overlapping lake.

Reachtype

Integer A value of 2 is assigned if the segment is an outlet to the lake, otherwise 0 or null. nextdownid integer segment number of the most downstream reach

_Item Page Created: 2019-06-13 00:29 Item Page Last Modified: 2025-04-05 16:27Owner: NIWA_OpenDataRiver LinesNo data edit dates availableFields: OBJECTID_1,HydroID,NextDownID,CATAREA,CUM_AREA,nzsegment,Enabled,LENGTHDOWN,Headwater,Hydseq,StreamOrde,euclid_dis,upElev,downElev,upcoordX,downcoordX,downcoordY,upcoordY,sinuosity,nzreach_re,headw_dist,segslpmean,LID,reachtype,FROM_NODE,TO_NODE,Shape_Leng,FLOWDIRWatershedsNo data edit dates availableFields: OBJECTID_1,HydroID,nzsegment,nzreach_rec1,Area

This web map can also be accessed via the LINZ Storymap about NZ Key Datasets for Resilience and Climate Change https://storymaps.arcgis.com/stories/b4dd46f15cea4234a098b4c8caae5b3d The River Environment Classification (REC) is a database of catchment spatial attributes, summarised for every segment in New Zealand's network of rivers. The attributes were compiled for the purposes of river classification, while the river network description has been used to underpin models. Typically, models (e.g. CLUES and TopNet) would use the dendritic (branched) linkages of REC river segments to perform their calculations. Since its release and use over the last decade, some errors in the location and connectivity of these linkages have been identified. The current revision corrects those errors, and updates a number of spatial attributes with the latest data. REC2 provides a recut framework of rivers for modelling and classification. It is built on a newer version of the 30m digital elevation model, in which the original 20m contours were supplemented with, for example, more spot elevation data and a better coastline contour. Boundary errors were minimized by processing contiguous areas (such as the whole of the North Island) together, which wasn't possible when the REC was first created. Major updates include the revision of catchment land use information, by overlaying with land cover database (LCDB3, current as at 2008), and the update of river and rainfall statistics with data from 1960-2006. The river network and associated attributes have been assembled within an ArcGIS geodatabase. Topological connectivity has been established to allow upstream and downstream tracing within the network. REC2 can be downloaded as a zip file and used directly in ArcMap. Alternatively, the layers can be extracted as shape files. The three REC2 based layers contained within this web map consist of the following (metadata is contained in the Layers section below).NZ Large Catchments, are basically the local watersheds of the REC2V5 dissolved into large sea draining catchments.River Environment Classification REC2 V5 (as National and local rivers) NZ Rivers and Names is a cut down version of the REC2V5 with river and waterway names added where available.

Field Type Descriptions for all REC2 associated feature layers within this webmap.RivName The names for any waterway where available taken from original topo data ( only for the NZ Large Catchments and NZ River and Names layers)

Catarea Real Watershed area in m2 CUM_Area Real Area upstream of a reach (and including this reach area) in m2. Nzsegment Integer Reach identifier to be used with REC2 (supercedes nzreach in REC1).

Lengthdown Real The distance to coast from any reach to its outlet reach, where the river drains (m). Headwater Integer Number (0) denoting whether a stream is a “source” (headwater) stream. Non-zero for non-headwater streams.

Hydseq Integer A unique number denoting the hydrological processing order of a river segment relative to others in the network.

StreamOrder Integer A number describing the Strahler order a reach in a network of reaches.

euclid_dist Real The straight line distance of a reach from the reach “inlet” to its “outlet”. upElev Real Height (asl) of the upstream end of a reach section in a watershed (m). downElev Real Height (asl) of the downstream end of a reach section in a watershed (m).

upcoordX Real Easting of the upstream end of a river segment in m (NZTM2000). upcoordY Real Northing of the upstream end of a river segment in m (NZTM2000). downcoordX Real Easting of the downstream end of a river segment in m (NZTM2000).

downcoordY Real Northing of the downstream end of a river segment in m (NZTM2000). sinuosity Real Actual distance divided by the straight line distance giving the degree of curvature of the stream nzreach_re Integer The REC1 identifiying number for the corresponding\closest reach from REC1 (can be used to retrieve the REC management classes) headw_dist Integer Distance of the furthermost “source” or headwater reach from any reach (m). Shape_leng Real The length of the reach (vector) as calculated by ArcGIS. Segslpmean Real Mean segment slope along length of reach.

LID Integer Lake Identifier number(LID) of overlapping lake.

Reachtype

Integer A value of 2 is assigned if the segment is an outlet to the lake, otherwise 0 or null. nextdownid integer segment number of the most downstream reach

NIWA acknowledges funding from the MBIE SSIF towards the preparation of REC v2.5 River Environment Classification._Item Page Created: 2021-07-09 05:37 Item Page Last Modified: 2025-04-05 18:53Owner: steinmetzt_NIWANZ River Names (REC2)Item id: 502212e71bce4c029de8a82cd5bc6302NZ Regional Rivers (REC2)Item id: 502212e71bce4c029de8a82cd5bc6302NZ National Rivers (REC2)Item id: 3a4b6cc2c1c74fbb8ddbe25df28e410cNZ Large River CatchmentsItem id: 28d23ad94c2a4846b7634f4cdbba178f

This layer is displayed in NatureServe's Conservation Data Portal for the Western United States.A downloadable shapefile can be found here.NatureServe conducted a comprehensive analysis linking tabular data on conservation status, species richness, and categorized threats in HUC08 watershed boundaries across the Western United States. The results offer several metrics to help identify potential conservation priorities across the region. The following metrics are included in the dataset:Riparian Ecosystems:This layer presents the concentration of Riparian Ecosystems based on NatureServe's National Vegetation Classification (NVC) map. The fields representing Riparian Ecosystems include:ripeco_prop = Proportion of area that is Riparian Ecosystemripeco_index = Low, Medium, High and Very High categorization of proportion of area that is classified as riparian ecosystem. These index values were calculated by splitting the riparian ecosystem values into four quartiles, and assigning each quartile to the appropriate index value.The full extent of the National Vegetation Classification (NVC) group map (v.0.92) that this layer is derived from can be found here.At-Risk Ecosystems:This layer presents an index score and rating based on the proportion of each watershed that is covered by at-risk ecosystems based upon NatureServe's National Vegetation Classification (NVC) group map. The fields representing At-Risk Ecosystems include:nvc_G1G3_prop = Proportion of area covered by at-risk ecosystemsnvc_G1G3_index = Low, Medium, High and Very High categorization of proportion of area covered by at-risk ecosystems. These index values were calculated by splitting the ecosystem proportion values into four quartiles, and assigning each quartile to the appropriate index value.The full extent of the National Vegetation Classification (NVC) group map (v.0.92) can be found here.Landscape Condition:NatureServe's Landscape Condition Model (LCM) applies available spatial data to transparently express user knowledge regarding the relative effects of land uses on natural habitats. The result is an index from 0 to 100 designed to distinguish a highly impacted or degraded state (low scores) from a relatively unimpaired or intact state (high scores). This layer presents the average landscape condition across each watershed. The fields representing Landscape Condition include:lcm_mean = mean Landscape Condition index valuelcm_index = Low, Medium, High and Very High categorization of Landscape Condition index value. These index values were calculated by splitting the mean landscape condition values into four quartiles, and assigning each quartile to the appropriate index value.The full extent of Landscape Condition for North and South America can be found here.Above Average Resilience:This layer presents the proportion of the watershed with above average freshwater resilience scores based on the TNC freshwater resilience dataset. The fields representing Above Average Resilience include:resil_aboveaverage_prop = Proportion of area with above average freshwater resilience scoreresil_aboveaverage_index = Low, Medium, High and Very High categorization of proportion of area with above average freshwater resilience scoreMore information on the TNC freshwater resilience dataset can be found here.Protected Areas Managed for Biodiversity:This layer presents the proportion of watershed that is managed for biodiversity (GAP Statuses 1 and 2), based upon the USGS Protected Areas Database for the United States v4.0. The fields representing Protected Areas Managed for Biodiversity include:protect_gap12_area = Area managed for biodiversityprotect_gap12_prop = Proportion of area managed for biodiversityprotect_gap12_index = Low, Medium, High and Very High categorization of proportion of area managed for biodiversityMore information on the USGS Protected Areas Database for the United States can be found here.Protected Areas Managed for Biodiversity and Multiple Use:This layer presents the proportion of watershed that is managed for biodiversity and multiple use (GAP Statuses 1, 2, and 3). Based upon the USGS Protected Areas Database for the United States v4.0. The fields representing Protected Areas Managed for Biodiversity and Multiple Use include:protect_gap123_area = Area managed for biodiversity and multiple useprotect_gap123_prop = Proportion of area managed for biodiversity and multiple useprotect_gap123_index = Low, Medium, High and Very High categorization of proportion of area managed for biodiversity and multiple use. These index values were calculated by splitting the mean proportion protected land values into four quartiles, and assigning each quartile to the appropriate index value.More information on the USGS Protected Areas Database for the United States can be found here.Species Threats:This layer indicates the relative richness of species present in the watershed that are subject to a variety threats as defined in the IUCN threat lexicon:threats_fishing_total, threats_fishing_index = fishing and harvesting aquatic resources (IUCN 5.4)threats_housing_total, threats_housing_index = housing and urban areas (IUCN 1.1)threats_oilgas_total, threats_oilgas_index = oil and gas drilling (IUCN 3.1)threats_mining_total, threats_mining_index = mining quarrying (IUCN 3.2)threats_logging_total, threats_logging_index = logging and wood harvesting (IUCN 5.3)threats_agforeff_total, threats_agforeff_index = agriculture and forestry effluents (IUCN 9.3)threats_urbwastewater_total, threats_urbwastewater_index = domestic urban wastewater (IUCN 9.1)threats_dam_total, threats_dam_index = dam presence (IUCN 7.2)Data for the these threats are compiled in NatureServe's Biotics database. We linked the categorized threat data to the imperiled species spatial data.National Aquatic Biodiversity Assessment (NABA) Layers:This layer indicates overall richness and count/proportion of at-risk freshwater species (fish, mussels, and crayfish) which are classified as at-risk (Conservation Status Rank of G1-G3). Data is summarized for all species and also split by taxonomic groups as follows:naba_rich_allSp_total, naba_rich_allSp_atrisk, naba_rich_allSp_prop = freshwater speciesnaba_rich_fish_total, naba_rich_fish_atrisk, naba_rich_fish_prop = fish speciesnaba_rich_mussel_total, naba_rich_mussel_atrisk, naba_rich_mussel_prop = mussel speciesnaba_rich_crayfish_total, naba_rich_crayfish_atrisk, naba_rich_crayfish_prop = crayfish species