Esri ArcGIS Online (AGOL) Hosted Feature Layer which provides access to the MDOT SHA District Boundaries data product.MDOT SHA District Boundaries data consists of polygon geometric features which represent the geographic area & extent (boundary) of each MDOT SHA District throughout the State of Maryland. Each MDOT SHA District includes multiple Maryland Counties. There are a total of seven MDOT SHA Districts (District 1 - District 7) throughout the State of Maryland. MDOT SHA District Boundaries data was generated using geometry from Maryland's political county boundaries. MDOT SHA District Boundaries data is used by various transportation business units throughout MDOT, as well as many other Federal, State & local government agencies. MDOT SHA District Boundaries data is key to understanding the geographic area & extent (boundary) of each MDOT SHA District throughout the State of Maryland. MDOT SHA District Boundaries data is updated and published on an As-Needed basis, as this data does not frequently change.For additional information, contact the MDOT SHA OIT Enterprise Information Services: Email: GIS@mdot.maryland.gov

MDOT SHA District Boundaries data consists of polygon features which represent the boundaries of each Maryland Department of Transportation State Highway Administration (MDOT SHA) District. Each MDOT SHA District includes multiple Maryland Counties. There are a total of seven MDOT SHA Districts (District 1 - District 7) throughout the State of Maryland. MDOT SHA District Boundaries data was generated using geometry from Maryland's political county boundaries.MDOT SHA District Boundaries data is maintained by the Maryland Department of Transportation State Highway Administration (MDOT SHA), under the Office of Planning and Preliminary Engineering (OPPE) Data Governance Division (DGD). MDOT SHA District Boundaries data is used by various modules throughout MDOT, as well as many other Federal, State and local government agencies. MDOT SHA District Boundaries data is key to understanding and identifying the geographic extent for each MDOT SHA District.MDOT SHA District Boundaries data is updated and published on an As-Needed basis, as this data does not frequently change. For the latest information available from each MDOT SHA District, visit each MDOT SHA District Website:MDOT SHA District 1MDOT SHA District 2MDOT SHA District 3MDOT SHA District 4MDOT SHA District 5MDOT SHA District 6MDOT SHA District 7For additional information, contact the MDOT SHA Geospatial Technologies TeamEmail: GIS@mdot.state.md.usFor additional information related to the Maryland Department of Transportation (MDOT): https://www.mdot.maryland.gov/For additional information related to the Maryland Department of Transportation State Highway Administration (MDOT SHA):https://roads.maryland.gov/Home.aspxMDOT SHA Geospatial Data Legal Disclaimer:The Maryland Department of Transportation State Highway Administration (MDOT SHA) makes no warranty, expressed or implied, as to the use or appropriateness of geospatial data, and there are no warranties of merchantability or fitness for a particular purpose or use. The information contained in geospatial data is from publicly available sources, but no representation is made as to the accuracy or completeness of geospatial data. MDOT SHA shall not be subject to liability for human error, error due to software conversion, defect, or failure of machines, or any material used in the connection with the machines, including tapes, disks, CD-ROMs or DVD-ROMs and energy. MDOT SHA shall not be liable for any lost profits, consequential damages, or claims against MDOT SHA by third parties.This is a MD iMAP hosted service layer. Find more information at https://imap.maryland.gov.Map Service Link:https://mdgeodata.md.gov/imap/rest/services/Transportation/MD_MDOTSHADistrictBoundaries/FeatureServer/0

Esri ArcGIS Online (AGOL) Map Image Layer which provides access to the MDOT SHA Recorded Plats data product.MDOT SHA Recorded Plats consists of polygon geometric features which represent the boundary of georeferenced MDOT SHA right of way plats throughout the State of Maryland. All plats included are recorded, that is to say they are recorded in land records as legal instruments. Each plat has a link to a scanned image on the Maryland State Archives (MSA) website (https://plats.net). This boundary data is owned by the MDOT SHA OHD Plats & Surveys Division (PSD). This information is for general informational purposes only and should be confirmed by MDOT SHA PSD to be deemed official.This data is updated nightly through an automated process which pulls data from several sources to create the plat bounding boxes. The process of georeferencing MDOT SHA right of way plats is ongoing. The plats in this data only represent plats that have been georeferenced. The sources include:PSD data for the location (corners) of platsORE data for information about platsThere are three criteria for a plat to be included in this data:The recorded date must be populatedThe plat corner coordinates must be entered by PSDThe plat URL must be populated by PSDFor more information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

Esri ArcGIS Online (AGOL) Hosted, View Feature Layer for accessing the MDOT SHA Facilities data product.MDOT SHA Facilities data consists of point geometric features which represent the geographic locations of MDOT SHA Facilities throughout the State of Maryland. Facility types included are Headquarters, Complexes, District Offices, Maintenance Shops & Landscape Depots.MDOT SHA Facilities data is maintained by the MDOT SHA OIT Enterprise Information Services. MDOT SHA Facilities data is updated on an Irregular / As-Needed basis. This data was last updated in October 2020.For more information, contact MDOT SHA OIT Enterprise Information Services: Email: GIS@mdot.maryland.gov

Esri ArcGIS Online (AGOL) Hosted Feature Layer for accessing the MDOT SHA Park and Rides data product.MDOT SHA Park and Rides data consists of point & polygon geometric features which represent the geographic locations & areas of MDOT SHA Park and Ride Facilities along roadways throughout the State of Maryland. This data product includes components related to counts of select space types and the usage of those types, averaged over the previous two inspection cycles (fall and spring of every year).MDOT SHA Park and Rides data is dynamically compiled & maintained by the MDOT SHA OIT Enterprise Information Services - GIS Team according to these data product requirements. OIT GIS staff members intimately familiar with this data maintenance process are Mr. John Shiu and Mr. Elliott Plack. MDOT SHA Park and Rides data is owned by the MDOT SHA Office of Planning & Preliminary Engineering (OPPE), under the MDOT SHA OPPE Regional Intermodal Planning Division (RIPD).MDOT SHA Park and Rides data symbology is defined by the regular vehicle occupancy percentile over the last two inspection cycles. The symbols are derived from the MUTCD D4-2 Park & Ride sign specification, and are colorized by the percentile. The colors are selected from the MUTCD color set:Green: 50% full or lessYellow: 50% to 75% full75% full or greaterFor additional information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

Esri ArcGIS Online (AGOL) Hosted Tile Layer which provides access to the MDOT SHA Context Zones data product.MDOT SHA Context Zones data consists of polygon geometric features which represent the geographic boundary of areas with related land use context throughout the State of Maryland. Context Zones are defined as Urban Core (Zone A), Urban Center (Zone B), Suburban Activity Center / Traditional Town Center (Zone C), Suburban (Zone D), & Rural (Zone E). MDOT SHA Context Zones data is owned & maintained by the MDOT SHA Office of Planning & Preliminary Engineering (OPPE) and the MDOT SHA Office of Highway Development (OHD) . This data is updated every decade (ten years) with the release of new Census information. This data was created in November 2018. For more information on Context Zones, view the MDOT SHA Context GuideFor questions related to Context Zones, contact the MDOT SHA Context Guide LiaisonsFor additional information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

Esri ArcGIS Online (AGOL) Feature Layer for accessing the MDOT SHA Hurricane Florence Models - Roadway Inundation geospatial data product.MDOT SHA Hurricane Florence Models - Roadway Inundation data consists of linear geometric features which represent the geographic extent of predicted storm surge impacts to roadways throughout the State of Maryland during an event similar to Hurricane Florence (2018). This data seeks to replicate conditions of an event of similar magnitude.In light of the significant damage in the state of North Carolina caused by the storm surge from Hurricane Florence on September 14, 2018, concerns about the vulnerability of the coastal communities on the Atlantic coast of Maryland and in Maryland’s portion of the Chesapeake Bay have come into focus. This data showcases a what-if scenario for coastal Maryland.MDOT SHA Hurricane Florence Models - Roadway Inundation data was produced as a result of efforts by the Maryland Department of Transportation State Highway Administration (MDOT SHA), Eastern Shore Regional GIS Cooperative (ESRGC), Salisbury University (SU), National Oceanic & Atmospheric Administration (NOAA), and the United States Geological Survey (USGS). This data was task-based, and will only be updated on an As-Needed basis where necessary.Last Updated: 10/04/2019For complete project overview and metadata information:Website: https://www.esrgc.org/project/sha-to7For more information about the data, contact Eastern Shore Regional GIS Cooperative (ESRGC):Email: esrgc@salisbury.eduFor more information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

Esri ArcGIS Online (AGOL) Hosted Feature Layer for accessing the MDOT SHA Highway Needs Inventory (HNI) Projects data product.MDOT SHA Highway Needs Inventory (HNI) Projects data consists of linear geometric features which represent the geographic extent of primary & secondary highway improvements along roadways throughout the State of Maryland that are part of the MDOT SHA Highway Needs Inventory (HNI) Program. The HNI program identifies highway improvements to serve existing and projected population and economic activity in the State as well as address safety and structural problems that warrant major construction or reconstruction. Projects identified in this program represent only an acknowledgment of need based on technical analysis and adopted local and regional transportation plans. The HNI is not a construction program, and inclusion of a project does not represent a commitment to implementation. The HNI is not financially constrained nor is it based on revenue forecasts. The HNI may be considered as a compilation of projected major highway deficiencies. It is important to note that only a portion of the projects in this data will be addressed in the future through selective capital improvements. Many of these needs will remain unfulfilled because MDOT does not anticipate that the gap between needs & resources can ever be completely closed, even with the infusion of new revenue. MDOT SHA Highway Needs Inventory (HNI) Projects data is used by various business units throughout MDOT as well as many other Federal, State, and local government agencies. MDOT SHA Highway Needs Inventory (HNI) Projects data is owned & maintained by the MDOT SHA Office of Planning & Preliminary Engineering, under the MDOT SHA Regional Intermodal Planning Division (RIPD). MDOT SHA Highway Needs Inventory (HNI) data is updated every 18 to 24 months.For more information about the MDOT SHA Highway Needs Inventory (HNI) Program, visit the HNI Webpage For more information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

This is a publicly available map image service with limited GIS attributes. The following related versions of this data are available here:MDOT SHA Right-of-Way (Secured)Line dataFull attribute tableAccessible to only MDOT employees and contractors upon requestMDOT SHA Right-of-Way (Map Image Service)Read-only map serviceLine dataLimited attributes (quality level)Accessible to publicMDOT SHA Right-of-Way data is a composite layer of PSD field-collected survey sources, PSD in-house computations, traced PSD hardcopy materials, and historical Maryland Department of Planning (MDP) parcel boundaries.This data product was intended to replace MDOT SHA Planning Level Right-of-Way (Tax Map Legacy), which is an increasingly obsolete legacy product for MDOT SHA Right-of-Way information that in some areas remains the most comprehensive. For continuity, many MDP parcel boundaries found in MDOT SHA Planning Level Right-of-Way (Tax Map Legacy) have been incorporated into MDOT SHA Right-of-Way data with an "Estimated" quality level. Please see below for a description of the primary attribute.-----------------------------------------------------The polygons in this layer are divided into 318 arbitrary grid zones across the State of Maryland. Updates to the parent ROW boundary line data set [MDOT SHA Right-of-Way (Secured)] are made by grid and reflected in this polygon layer.For more information or to report errors in this data, please contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

Esri ArcGIS Online (AGOL) Hosted Feature Layer which provides access to the MDOT SHA Scenic Byways data product.MDOT SHA Scenic Byways data consists of linear geometric features which represent the geographic extent of roadways that are officially designated as Scenic Byways throughout the State of Maryland. Maryland’s 18 designated byways encompass 2,487 miles of beautiful roads and offer a taste of Maryland’s scenic beauty, history and culture. Take the roads less traveled - including byways featuring nationally significant themes: The Star-Spangled Banner, Harriet Tubman Underground Railroad, Religious Freedom, Chesapeake Country, Charles Street, Historic National Road, and the Catoctin Mountain National Scenic Byways. Maryland belongs to a longstanding network of national and state byways that include the most distinct and diverse roads of our nation. These corridors embody archaeological, cultural, historic, natural, recreational and scenic qualities that are worthy of preservation and promotion. Maryland’s Scenic Byway program enhances community pride, as well as visitor appeal, by encouraging the responsible management and preservation of the State’s most scenic, cultural and historic roads.MDOT SHA Scenic Byways data is owned & maintained by the MDOT SHA OPPE Regional Intermodal Planning Division (RIPD). This data is updated on an As-Needed / Irregular basis. This data was last updated in September 2019.For more information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

Esri ArcGIS Online (AGOL) Map Image Layer for accessing the Maryland Coast Smart - Climate Ready Action Boundary (CRAB) Inundated Zones data product.Maryland Coast Smart - Climate Ready Action Boundary (CRAB) Inundated Zones consists of polygon geometric features which represent the geographic areas throughout the State of Maryland that are impacted by CRAB inundation (0 to 1ft, 1 to 2ft, and 2ft or more).The Maryland Coast Smart - Climate Ready Action Boundary (CRAB) Inundated Zones data product was created using a GIS spatial analysis model, unique for each county in the State of Maryland. Coastal counties follow an analysis methodology that incorporates FEMA Stillwater wave action as it is understood from the FEMA identified VE zones. A Water Surface Elevation (WSE) and Still Water Elevation (SWEL) rasters are used as the baseline to identify existing water depths within each county. For all flood zones that are not classified as VE the WSE three feet was added to reflect a three-foot rise in the base flood elevations. For those WSEs falling within a FEMA floodplain identified V Zone, six feet was added (three feet for the increase in flood elevations for the CS-CRAB, and 3 feet to compensate for the minimum of 3 foot wave action typically mapped by FEMA) / wave heights greater than 3 feet were reduced to the 3 foot minimum for consistency across the shoreline. The newly calculated WSE plus three datasets were then converted to points and merged. Next, an Inverse Distance Weighted (IDW) Interpolation was used to compute the proportional weighted values between the WSE point locations based on proximity. The DEM for each county is then subtracted from the new IDW raster in order to show precise water locations as they relate to the land elevation, producing a freeboard depth grid representing the depth of flood waters above the existing ground elevation given a 3 foot increase in water level. A course resolution QAQC was applied to remove “islands” of data associated with DEM inaccuracies and other elevation anomalies. The analysis was run at a1 ft x 1 ft raster resolution. The DEM accuracy for each county varies based what is currently available. Here the breakdown of DEM accuracy for each county used in this project: Anne Arundel County DEM year is 2017 and horizontal resolution is 1ft. Baltimore County DEM year is 2015 and horizontal resolution is 2.5ft. Baltimore City DEM year is 2015 and horizontal resolution is 0.7m. Calvert County DEM year is 2017 and horizontal resolution is 1ft. Caroline County DEM year is 2013 and horizontal resolution is 3.125ft. Cecil county DEM year is 2013 and horizontal resolution is 0.6m. Charles County DEM year is 2014 and horizontal resolution is 0.9m. Dorchester County DEM year is 2013 and horizontal resolution is 0.9m. Harford County DEM is 2013 and horizontal accuracy is 1.5m. Kent County DEM year is 2015 and horizontal resolution is 0.7m. Prince George’s County DEM year is 2014 and horizontal resolution is 0.7m. Queen Anne’s County DEM year is 2013 and horizontal resolution is 0.6m. Somerset County DEM year is 2012 and horizontal accuracy is 1m. St Mary’s County DEM year is 2014 and Horizontal accuracy is 0.9m. Talbot County DEM year is 2015 and Horizontal accuracy is 0.7m. Wicomico County DEM year is 2012 and horizontal accuracy is 1m. Worchester County DEM year is 2011 and horizontal accuracy is 1m.The Maryland Coast Smart - Climate Ready Action Boundary (CRAB) Inundated Zones data product was created by the Maryland Environmental Service (MES) in partnership with the Maryland Department of Environment (MDE) and the Coast Smart Council, under the guidance of the Maryland Department of Natural Resource (DNR).For additional information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

MDOT SHA Climate Change Vulnerability App is an ArcGIS Online (AGOL) web application which showcases geospatial data products related to climate change and the potential impacts to the State of Maryland's transportation infrastructure. The purpose of this application is to support MDOT SHA Senior Management, Leadership & Planning as they make efforts to avert and mitigate potential impacts of sea level rise that result from global climate change.The MDOT SHA CCVV App is a very robust application with an overwhelming amount of information available. The following resources should help users formulate a more focused approach to using the application based on their needs. The MDOT SHA CCVV Storymap provides a detailed walkthrough / tour of the CCVV app, and how users can take advantage of the various tools, data, and information available. Furthermore, there is also a MDOT SHA CCVV Instructional Video which provides users with additional guidance or reference when leveraging the app and its included functionality. MDOT SHA Climate Change Vulnerability App is owned & maintained by the MDOT SHA Office of Planning & Preliminary Engineering (OPPE) Innovative Planning & Performance Division (IPPD). For questions or more information please contact us @ IPPD@mdot.maryland.govData products showcased in this application are listed below and linked to each authoritative source: Nuisance Tidal Inundation / Flooding - Flood Depth Grids2020 Nuisance Tidal Inundation - Flood Depth Grid (Imagery Layer on ArcGIS Online for Maryland)2050 Nuisance Tidal Inundation - Flood Depth Grid (Imagery Layer on ArcGIS Online for Maryland)2100 Nuisance Tidal Inundation - Flood Depth Grid (Imagery Layer on ArcGIS Online for Maryland)For more information about the data, visit the Project Overview on the ESRGC website. Comprehensive Flood Modeling - MSL / MHHW Flood Depth GridsBased on the State of Maryland's latest available LiDAR data are Flood Depth Grids showing the projected impacts of Mean Sea Level (MSL) & Mean Higher High Water (MHHW) storm event scenarios for years 2015, 2050, & 2100. These flood depth grids include projected stillwater depth information (ft) for the following storm event scenarios: 0% Annual Chance Event (No.Storm Event)10% Annual Chance Event (10.Year Storm Event)4% Annual Chance Event (25.Year Storm Event)2% Annual Chance Event (50.Year Storm Event)1% Annual Chance Event (100.Year Storm Event)0.2% Annual Chance Event (500.Year Storm Event)For more information about the data, visit the Project Overview on the ESRGC website. Roadway Inundation (Flooded Roadways) Roadway Inundation / Flooded Roadways data consists of linear geometric features which represent the geographic extent of roadway segments projected to be impacted by Mean Sea Level (MSL) & Mean Higher High Water (MHHW) storm event scenarios for years 2015, 2050, & 2100. The following storm event scenarios are included: 0% Annual Chance Event (No.Storm Event)10% Annual Chance Event (10.Year Storm Event)4% Annual Chance Event (25.Year Storm Event)2% Annual Chance Event (50.Year Storm Event)1% Annual Chance Event (100.Year Storm Event)0.2% Annual Chance Event (500.Year Storm Event)For more information about the data, visit the Project Overview on the ESRGC website. Hurricane Florence ModelsHurricane Florence hit the State of North Carolina in September 2018 with devastating impacts. This event caused concern among coastal communities throughout the State of Maryland. The following data products have been developed to depict projected impacts to the State of Maryland from an event of similar magnitude. Roadway Inundation consists of linear geometric features which represent the geographic extent of roadway segments projected to be impacted by storm surge & flooding. Includes projected storm surge height / flood water depth information (ft).Inundated Parcels consists of polygon geometric features which represent the geographic boundary of property parcels that are projected to be impacted by an event of similar magnitude. Includes parcel ownership information and links to Maryland SDAT.Flood Depth Grid showing geographic areas throughout the State of Maryland that are projected to by impacted by storm surge from an event of similar magnitude. Includes projected storm surge height / flood water depth information (ft).For more information about the data, visit the Project Overview on the ESRGC website. Related DataA variety of other, climate change-related data products have been included for display in this application and can be found in this Related Data section. Data products showcased in this section are listed below, and linked to each authoritative source:MDOT SHA County Flood Statistics MapsAirportsAnnual Average Daily Traffic (AADT) LocationsBridge StructuresCHART Activity - State Emergencies (Action Events)CHART Activity - State Emergencies (Debris Events)CHART Activity - State Emergencies (Emergency Roadwork Events)CHART Activity - State Emergencies (High Water Events)Maryland Tide GaugesMaryland Stream GaugesMDOT SHA NPDES StructuresMilepoints (100th)Annual Average Daily Traffic (AADT) SegmentsMDOT SHA Emergency 667 EventsMDOT Roadway Lane Miles in FloodplainMDOT SHA NPDES ConveyanceFEMA Hurricane Evacuation RoutesMDOT SHA Maintained RoadsRoadway Access ControlRoadway Administrative ClassificationRoadway Federal Aid EligibilityRoadway Functional ClassificationRoadway Pavement ConditionAirport 4 Mile BufferCongressional DistrictsCounty BoundariesCritical AreasCritical Area TownsLegislative DistrictsMDOT SHA NPDES SWMFACMDOT SHA Parcel InventoryMaryland Property/Parcel BoundariesFEMA Effective FloodplainMDOT SHA District AreasMDOT SHA Maintenance Shop BoundariesMDOT SHA - Planning Level Right-of-Way (Tax Map Legacy)Metropolitan Planning Organizations (MPO) BoundariesMDOT SHA Right of WayMDOT SHA Context ZonesElevationSlopeTerrain (Hillshade)For more information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

Esri ArcGIS Online (AGOL) Feature Layer for accessing the MDOT SHA Hurricane Florence Models - Inundated Parcels geospatial data product.MDOT SHA Hurricane Florence Models - Inundated Parcels data consists of polygon geometric features which represent property parcels throughout the State of Maryland predicted to be impacted by storm surge during an event similar to Hurricane Florence (2018). This data seeks to replicate conditions of an event of similar magnitude.In light of the significant damage in the state of North Carolina caused by the storm surge from Hurricane Florence on September 14, 2018, concerns about the vulnerability of the coastal communities on the Atlantic coast of Maryland and in Maryland’s portion of the Chesapeake Bay have come into focus. This data showcases a what-if scenario for coastal Maryland.MDOT SHA Hurricane Florence Models - Inundated Parcels data was produced as a result of efforts by the Maryland Department of Transportation State Highway Administration (MDOT SHA), Eastern Shore Regional GIS Cooperative (ESRGC), Salisbury University (SU), National Oceanic & Atmospheric Administration (NOAA), and the United States Geological Survey (USGS). This data was task-based, and will only be updated on an As-Needed basis where necessary.Last Updated: 10/04/2019For complete project overview and metadata information:Website: https://www.esrgc.org/project/sha-to7For more information about the data, contact Eastern Shore Regional GIS Cooperative (ESRGC):Email: esrgc@salisbury.eduFor more information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

DownloadA daily extract of the NPDES Stormwater Management Facilities (SWMFAC) dataset is available for download as a zipped file geodatabase.BackgroundAs a government agency that owns and maintains separate storm sewer systems, the Maryland State Highway Administration (SHA) is mandated to file a National Pollutant Discharge Elimination System (NPDES) permit with the Maryland Department of the Environment (MDE). The permit requires the inventory, inspection, and maintenance of SHA stormwater infrastructure. SHA is responsible for maintaining storm drain infrastructure on more than 5,000 miles of roadway statewide. SHA has developed a program consisting of SHA personnel, data managers, and subject matter experts to support the permit requirements and maintain these roadways. The tasks involved in the SHA NPDES data collection program are often completed by engineering consultants for SHA.The data are organized into a series of drainage systems with stormwater management facilities that are interconnected, allowing for flow-tracing function through distinct systems. A drainage system is defined as a series of storm drain structures or point features (i.e., manholes, inlets, endwalls) that connect hydraulically through conveyance features such as pipes and / or ditches. Closed and open storm drain structures are connected by pipe and ditch conveyance to create the drainage system. Stormwater management facilities (SWMF), also known as stormwater best management practices (BMP) are inventoried with the storm drain system. A system can include both open and closed storm drain features.Stormwater Management FacilitiesStormwater Management Facilities (SWMFAC) are structural best management practices that temporarily store or treat stormwater runoff to reduce flooding, remove pollutants, and provide other amenities. Stormwater BMPs are impoundment areas that treat stormwater runoff to reduce flooding, remove pollutants, and provide other benefits such as wildlife attraction. Pollutant removal can be accomplished through retaining permanent pools of water, detaining water temporarily and then releasing it slowly, infiltrating runoff into the ground, filtering the water through a medium into the ground, or combining multiple treatments. Stormwater management facilities are represented as polygons in the database.If a stormwater BMP is receiving SHA runoff, the feature is inventoried, regardless of the owner. Attributes recorded for each stormwater BMP feature include type, location, status, and owner. Refer to the Maryland Stormwater Management Guidelines for State & Federal Projects - Volume I & II for stormwater BMP types and common features related to stormwater BMPs. Stormwater BMP design plan sheets will be supplied to the team and should be used as the source for the stormwater BMP inventory. Stormwater BMPs that are inventoried include, but are not limited to, ponds, wetlands, infiltration practices, filtration practices, and ESD BMPs. Stormwater BMPs are inventoried and recorded in the SWMFAC feature class. Due to the large number of different types, sizes, and shapes of these facilities, the SWMFAC table entries are not as standardized as the storm drain structure elements.SimplificationsThe simplification process flattens database tables that normalize attribute information, resulting in a dataset with all attributes but also many null fields when the attribute type is not relevant to the SWMFAC type. The simplified data are a snapshot in time of the production NPDES data, updated every night.PublishingThis service was last published by Elliott Plack on 9/6/2019 based on a materialized view created by John Shiu.

Esri ArcGIS Online (AGOL) Imagery Layer for accessing the Maryland 2050 Nuisance Tidal Inundation - Flood Depth Grid.Maryland 2050 Nuisance Tidal Inundation - Flood Depth Grid consists of an image service showing geographic areas throughout the State of Maryland that are projected to be impacted by a nuisance tidal flooding scenario in year 2050.The notion of nuisance tidal flooding, also known as sunny-day flooding, as a current threat to transportation infrastructure has become better understood. In most coastal locations, these abnormally high tides have traditionally occurred a few times per year, degrading road support facilities and causing traffic congestion. However, NOAA has documented that nuisance flooding has become significantly more common in the Chesapeake Bay watershed. In time, nuisance flooding is expected to become even more frequent and more hazardous as the area experiences sea-level change. Currently, there is no known map of areas prone to nuisance flooding.Maryland 2050 Nuisance Tidal Inundation - Flood Depth Grid data represents projected stillwater depths (ft) during a 'nuisance' tidal flooding scenario. This data is an attempt to aid in identifying potential vulnerabilities along Maryland's roadway infrastructure. The data supports MDOT State Highway Administration leadership and planners as they endeavor to mitigate or prevent the impacts of sea level change resulting from land surface subsidence and rising sea levels. The product uses sea-level projections to forecasts areas of inundation for a given scenario. University of Maryland Center for Environmental Science (UMCES) provides the sea level change (SLC) estimate. SLC is localized using qualifying National Oceanic and Atmospheric Administration (NOAA) tidal reference stations.The data may be used and redistributed for free but is not intended for legal use, since it likely contains inaccuracies. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. The information contained in these data is dynamic and will change over time. The data are not better than the original sources from which they were derived, and both scale and accuracy may vary across the data set. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. These data are neither legal documents nor land surveys, and must not be used as such. Maryland Department of Transportation State Highway Administration (MDOT SHA) and the Eastern Shore Regional GIS Cooperative (ESRGC) should be cited as the data source in any products derived from these data. Any Users wishing to modify the data should describe the types of modifications they have performed. The User should not misrepresent the data, nor imply that changes made were approved or endorsed by MDOT SHA and/or ESRGC. Neither MDOT SHA, ESRGC, nor the State of Maryland, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, of this information.Last Updated: June 2020For complete project overview and metadata information:Website: https://www.esrgc.org/project/sha-to8For more information about the data, contact Eastern Shore Regional GIS Cooperative (ESRGC):Email: esrgc@salisbury.eduFor more information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov