This point layer contains all the stormwater outfalls. The Purpose of this data is to describe the asset both locationally and via its attributes which are extensive for a GIS dataset and which are maintained. This data will serve as a platform for planning, analysis and research at PWD.
U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically
Special Condition S8.D of the 2007-2012 Phase I Municipal Stormwater Permit required permittees to collect and analyze data to evaluate pollutant loadings of stormwater discharged from different land uses: high density (HD) residential, low density (LD) residential, commercial, and industrial.
To meet the S8.D requirement, Phase I Permittees collected water quality and flow data, sediment data, and toxicity information from stormwater discharges during storm events.
Layer published weekly.The Storm Outfalls layer was generated using a combination of Construction drawings (as-builts), survey captured locations, orthophotos, and field inspection descriptions. The data is updated and maintained on a daily basis by DPW Technical Engineering Staff.
This layer contains the Stormwater Outfalls for the City of Mobile, AL. The Outfall Number field contains the unique identifier.
Location where water leaves a stormwater system and enters a waterway.
Geospatial data about Suffolk County, New York Storm Water Outfalls. Export to CAD, GIS, PDF, CSV and access via API.
New York City’s Municipal Separate Storm Sewer System (MS4) Stormwater Management Program is a multiagency effort led by the Department of Environmental Protection (DEP) to reduce pollution in stormwater runoff in the MS4 Area of NYC. This MS4 Map represents the known MS4 outfalls and drainage areas as of August 1, 2020 and provides additional data relevant to the MS4 Permit. The MS4 map only shows areas draining to the Municipal Separate Storm Sewer System. DEP also maintains combined sewer and sanitary sewer systems; these service area delineations are not represented on this map. More information about the MS4 Stormwater Management Program is available at www.nyc.gov/dep/ms4
This map shows the watersheds and possible storm outfalls into streams within the city of Lee's Summit
This layer contains the data for the stormwater outfalls in the City of Round Rock, located in Williamson County, Texas. This layer is part of an original dataset provided and maintained by the City of Round Rock GIS/IT and Public Works Departments. The data in this layer are represented as points. A stormwater outfall is the discharge point of a waste stream into a body of water; alternatively, it may be the outlet of a river, drain or a sewer where it discharges into the sea, a lake, or ocean. A wastewater treatment system discharges treated effluent to a water body from an outfall.
The information submitted is in accordance with New York State Department of Environmental Conservation's (NYSDEC's) guidance, "Outfall and System Mapping For Illicit Discharge Detection and Elimination (IDDE) in NY (August 2005). Most outfalls were mapped using Trimble GeoXT GPS units, capable of sub-meter accuracy, with either post-processing or real-time corrections. New York State Department of Transportation (NYSDOT) record plans were used to determine outfall locations when they occurred in closed systems or were inaccessible. All of NYSDOT mapped outfalls meet the NYSDEC 45-meter positional accuracy requirement as per 6 NYCRR Part 750. For further information, see Data Quality Positional Accuracy statement. NYSDOT Stormwater Outfalls along or near State Highways and NYSDOT facilities in designated urban areas. Mapping is required by the NYSDEC General Permit for Stormwater Discharges from Municipal Separate Storm Sewer Systems (MS4s), GP-02-02. Publication Date: April 4, 2008, updated as needed. The original point dataset was clipped to the Mohawk watershed counties. The projection remains in UTM 18N, NAD 83.View Dataset on the Gateway
Layer published weekly.The Storm Outfalls layer was generated using a combination of Construction drawings (as-builts), survey captured locations, orthophotos, and field inspection descriptions. The data is updated and maintained on a daily basis by DPW Technical Engineering Staff.
Geospatial data about Manatee County, Florida Stormwater Outfalls. Export to CAD, GIS, PDF, CSV and access via API.
This point theme represents stormwater features related to the outlet portion of another feature.
Geospatial data about Rutherford County, Tennessee Stormwater Pipe Outfall. Export to CAD, GIS, PDF, CSV and access via API.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Analysis of ‘Municipal Stormwater Permit Outfall Data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/679134cb-539b-4458-8224-f072e769b0a6 on 12 February 2022.
--- Dataset description provided by original source is as follows ---
Special Condition S8.D of the 2007-2012 Phase I Municipal Stormwater Permit required permittees to collect and analyze data to evaluate pollutant loadings of stormwater discharged from different land uses: high density (HD) residential, low density (LD) residential, commercial, and industrial.
To meet the S8.D requirement, Phase I Permittees collected water quality and flow data, sediment data, and toxicity information from stormwater discharges during storm events.
--- Original source retains full ownership of the source dataset ---
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Abstract: This dataset includes micropollutant concentrations (up to 95 substances) and standard water quality parameters analysed in samples from 49 wastewater treatment plants (WWTPs), 12 combined sewer overflows (CSOs) and 2 stormwater outfalls (SSO) in Germany. WWTP samples were collected as multi-day composite samples from October 2017 to April 2019. CSO and SSO samples were collected as event composite samples from November 2016 to December 2019 and from July 2018 to April 2019, respectively. The sampling was conducted as part of research projects on behalf of the Federal Environment Agency (Umweltbundesamt) and the Bavarian Environment Agency (Bayerisches Landesamt für Umwelt). The context and scope of the data, the methods used in the monitoring, and data analyses are reported in Nickel et al. (2021). Additional information can be found in the project reports (Fuchs et al. 2020a, Fuchs et al. 2020b, Nickel & Fuchs 2020). REFERENCES: Nickel, J.P., Sacher, F. and Fuchs, S. 2021 Up-to-date monitoring data of wastewater and stormwater quality in Germany. Water Research 202, 117452. https://doi.org/10.1016/j.watres.2021.117452. Fuchs, S., Toshovski, S., Kaiser, M., Sacher, F., Thoma, A., Kümmel, V., Lambert, B., 2020a. Prioritäre Stoffe in kommunalen Kläranlagen - Ein deutschlandweit harmonisiertes Vorgehen. Texte 173/2020. Umweltbundesamt, Dessau-Roßlau, Germany. https://www.umweltbundesamt.de/publikationen/prioritaere-stoffe-in-kommunalen-klaeranlagen. Fuchs, S., Toshovski, S., Kaiser, M., Sacher, F., Thoma, A., 2020b. Belastung der Umwelt mit Bioziden realistischer erfassen - Schwerpunkt Einträge über Kläranlagen. Texte 169/2020. Umweltbundesamt, Dessau-Roßlau, Germany. https://www.umweltbundesamt.de/publikationen/belastung-der-umwelt-bioziden-realistischer. Nickel, J.P., Fuchs, S., 2020. Qualitative Untersuchung von Mischwasserentlastungen in Bayern. Karlsruhe Institute of Technology (KIT). https://doi.org/10.5445/IR/1000137305. FUNDING: The monitoring was financed by the federal states of Germany and was technically and administratively supported by the Federal Environment Agency (Umweltbundesamt). The additional monitoring of 10 combined sewer overflows in Bavaria was financed by the Bavarian State Ministry of the Environment and Consumer Protection (Bayerisches Staatsministerium für Umwelt und Verbraucherschutz).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Stormwater outfalls were field collected within the project area for the Storm Drain System (MS4) GIS Mapping Project for Boulder County Public Health. The data was collected with a Trimble Geo-XH 6000 with a horizontal post-processed accuracy of 2.5 cm (.98in). The data was post processed using the base stations located in and around Boulder County. The data dictionary used to collect the data was developed in collaboration with the Boulder County Public Health Project Manager. This data was collected between April and December 2017by Anderson Consulting Engineers.
Any location where storm water pipes directly discharge effluent.
The Stormwater Network consists of 11 features classes with related drawing number tables. Feature classes include: inflow points, outfall points, network structures, general points, storm drain lines, underdrains, trench slotted drains, channel swales, outfall protections, stormwater management (SWM) ponds, and SWM drainage areas. The SWM pond points and the SWM drainage areas are managed by the Department of Environmental Protection and Sustainability (EPS) while the remaining feature classes are managed by the Department of Public Works (DPW) with some overlap occurring in the outfall point feature class.
This web map shows the location of outfalls (stormwater) in Hong Kong. It is a set of data made available by the Drainage Services Department under the Government of Hong Kong Special Administrative Region (the "Government") at https://portal.csdi.gov.hk ("CSDI Portal"). The source data has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong CSDI Portal at https://portal.csdi.gov.hk.
This point layer contains all the stormwater outfalls. The Purpose of this data is to describe the asset both locationally and via its attributes which are extensive for a GIS dataset and which are maintained. This data will serve as a platform for planning, analysis and research at PWD.