Town of Norton, MA GIS Viewer

Geospatial data about City of Norton, Virginia Parcels. Export to CAD, GIS, PDF, CSV and access via API.

Cellular Phone Towers dataset current as of unknown. Cell Towers.

Parcels and Land Ownership dataset current as of 2009. Parcels and Ownership.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

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Aerial Photography and Imagery, Ortho-Corrected dataset current as of 2007. County wide imagery.

The current threats of climate change have prompted the dependency on groundwater as a sustainable supply of domestic water. As a result, maintaining groundwater quality has remained a critical intervention for many local authorities especially in developing countries including Zimbabwe. This study assessed the vulnerability of groundwater quality within Norton Townin Zimbabwe, an urban area that dependents partly on groundwater sources for domestic water supplies.The town has a number of potential pollution sources. Potential pollution sources were digitized onGoogleEarth mapusing GIS techniques. Ground control points were collected to validate and improve the potential pollution source map. Fifteen (15) systematically selected groundwater points (8 boreholes and 7 wells) located close to potential pollution sources were chosen and water samples collected from them. Four (4) sampling campaigns were undertaken in January and February 2016. The water samples were analysed for selected water quality parameters using standard methods and compared to Zimbabwean and World Health Organization limits to assess drinking suitability. The parameters that were studied include temperature, turbidity, pH, DO, electrical conductivity, TDS, total hardness, iron, sulphates, chlorides, faecal coliform and total coliform. One-way Analysis of Variance was performed using SPSS version 23 to test for any significant differences between parameters and sites. In order to determine parameters that are important in assessing variation in groundwater quality data set, Principal Component Analysis was used. The Moving Average technique in Integrated Land and Water Information System was used to plotspatial and temporal variation of groundwater in the environment. The Aquifer Vulnerability Index Model was used for mapping the vulnerability of groundwater in Norton Town. Six parameters including hydraulic conductivity, soil media, depth to water level, aquifer media, slope and land cover were assigned weights and ratings using ILWIS Software. Statistical data grouping was implemented in order to differentiate five categorical index ranges.Results for mapping potential pollution sources showedthat, industrial activities and improper disposal of solid wastes and wastewater are the main causes of groundwater pollution in Norton. Descriptive statistics for the analysed groundwater parameters showed the mean values for temperature, turbidity, pH, DO, electrical conductivity, TDS, total hardness, iron, sulphates, chlorides, faecal coliform and total coliform were 25.7 °C, 6.8 NTU, 7.2, 3.66 mg/L, 580 μS/cm, 280 mg/L, 698 mg/L, 0.05 mg/L, 455 mg/L, 282 mg/L, 1015 cfu/100mL, 991 cfu/100mLrespectively. The resultsshowed that temperature, turbidity, DO, TDS, pH, chlorides, total hardness, electrical conductivity and sulphates had significant variation of parameters (spatial and temporal) explained by (p values <0.05). PCA components F1, F2, F3 and F4 had total variability of 80% with each one of the components having 36%, 24%, 11% and 9% respectively.The significant parameterswerechlorides, dissolved oxygen, electrical conductivity and feacal coliform. From the Aquifer Vulnerability IndexModel, five different vulnerability zones were established which were; very low vulnerability (index 63-73), low vulnerability (74-84), moderate vulnerability (85-95), high vulnerability (95-106) and very high vulnerability (107-126). The results showed that 17.8% of the area had very low vulnerability, 37.2% low vulnerability, 30% moderate vulnerability, 12.5% high vulnerability and 2.5% very high vulnerability. The study identified the main pollution sources as treatment plant, agriculture, landfill, onsite sanitation and industrial discharge. The study also revealed that potential pollution sources are the main causes of groundwater contamination. The results showed that groundwater sources situated in high density areas had faecal coliform counts greater than 100 cfu/100 mL which could be harmful to human health. Groundwater quality parameters (50 %) exceeded the Zimbabwean and World Health Organisation drinking water limits. At the present moment, the area shows a total of55 % very low to low vulnerability.It is therefore recommended that water from vulnerable sources be disinfected regularly before human consumption. WaterNet

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The Utah Geospatial Resource Center (UGRC) services are the authoritative source for Utah cadastral data used by the BLM Utah State Office. This includes the statewide Public Land Survey System (PLSS) and the Geographic Coordinate System Database (GCDB).The GCDB dataset provides the BLM and the public with a set of geographic foundation data that accurately depicts the locations of PLSS corners. The GCDB is based on the best and most current survey records available, and uses known geographic positions of control stations within the PLSS network. The GCDB is the key component of all cadastral information.All users of PLSS datasets ought to be aware that UGRC is continually updating these data. Updates are expected annually as horizontal control positions from published sources and global positioning system (GPS) observations are added. The GCDB grid is adjusted using various methods to determine the best geographic positions of the survey points.Links to UGRC Datasets:Utah PLSS Townships GCDB - https://opendata.gis.utah.gov/datasets/utah::utah-plss-townships-gcdb/about ;Utah PLSS Sections GCDB - https://opendata.gis.utah.gov/datasets/utah::utah-plss-sections-gcdb/about ;Utah PLSS Quarter Sections GCDB - https://opendata.gis.utah.gov/datasets/utah::utah-plss-quarter-sections-gcdb/about ;Utah PLSS Quarter Quarter Sections GCDB - https://opendata.gis.utah.gov/datasets/utah::utah-plss-quarter-quarter-sections-gcdb/about ;Utah PLSS Point GCDB - https://opendata.gis.utah.gov/datasets/utah::utah-plss-point-gcdb/about ;BLM Point of Contact:Calvert Norton Land Surveyor/PLSS Dataset ManagerBureau of Land Management, Utah State Office 440 W. 200 S., Suite 500 Salt Lake City, UT 84101 Phone: 801-539-4140 Email: cnorton@blm.gov

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The Geospatial Fabric is a dataset of spatial modeling units for use within the National Hydrologic Model that covers the conterminous United States (CONUS), Alaska, and most major river basins that flow in from Canada. This U.S. Geological Survey (USGS) data release consists of the geospatial fabric features and other related datasets created to expand the National Hydrologic Model to Hawaii. This page contains data and information related to the GIS features of the Geospaital Fabric for National Hydrologic Model, Hawaii domain. An Open Geospatial Consortium geopackage (GF_20.gpkg) contains 4 feature layers (layer names in parentheses): points of interest (poi), a stream network (nsegment), aggregated catchments (catchment), and hydrologic repsonse units (nhru). Features were derived from NHDPlus, version 2.0, and several hydroclimatic datasets representing domain-specific processes and key drainage basins within the Hawaii. All data cover the National Hydrologic Model's (NHM) ...

The Geospatial Fabric for National Hydrologic Modeling (Viger and Bock, 2014; Bock and others, 2020) is a dataset of hydrographic features and spatial data designed for use within the National Hydrologic Model that covers the conterminous United States (CONUS), Hawaii, and most major river basins that flow in from Canada. This U.S. Geological Survey (USGS) data release consists of the geospatial fabric features and other related spatial datasets created to expand the National Hydrologic Model to Alaska. This child item contains data and information related to the GIS features of the Geospatial Fabric for National Hydrologic Model, Alaska domain. Two Open Geospatial Consortium geopackages are provided: one containing source layers that have had some pre-processing done from their native data formats (Reference_19.gpkg), and one (NHM_19.gpkg) containing 4 final feature layers for the NHM: points of interest (pois), a stream network (nsegment), aggregated catchments (catchments), an ...

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The digitally compiled map includes geology, oil and gas field centerpoints, and geologic provinces of the Arctic (North Pole area encircled by 640 N Latitude). The GIS data sets were designed originally in ESRI's ARC/INFO ver. 8.0.1 and were published as part of a series of interim CD-ROM products of the U.S. Geological Survey's World Energy Project (WEP). The goal of the WEP is to assess the undiscovered, technically recoverable oil and gas resources of the world. Results of this assessment were reported in the year 2000 (see USGS DDS-60; http://pubs.usgs.gov/dds/dds-060/).

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Map layer of Air Quality Management Area (AQMA) designated at Bridge Street, Witney and Horsefair & Banbury Road, Chipping Norton.