CPUC_Fire-Threat_Map_Tier_2

Bringing under-represented histories to light has become a top priority in historic preservation because it helps to tell the full story of our history while also working to improve equity and build strong communities. Cape Cod has no shortage of these stories to highlight. Local preservation groups are expanding their historic inventory work to recognize previously overlooked stories, and new museums and exhibits in the region are bringing these stories into focus. This StoryMap aims to elevate the research done by others to uncover these stories, compiling them in a map that is accessible and can be incrementally expanded. It presents five themes, each related to an underrepresented group on Cape Cod. You can look at the big picture of all sites on the regional map, or you can select one theme and follow the stories within that theme, or you can choose a single site to explore. The specific sites in each theme were compiled with assistance from people in these communities, and the information comes from historic inventory forms, museum archives, and local and regional research efforts.

This archive contains shapefiles of the grid of conceptual well locations and study area.

Geospatial data about Cass County, Indiana Parcels. Export to CAD, GIS, PDF, CSV and access via API.

Coweeta LTER researchers sampled fifty-eight stream sites in the Upper Little Tennessee River Basin in February and June of 2009. Sites were selected to represent the range of land cover and land use within the basin. Samples were taken over three days of stable weather and discharge during periods of baseflow. They were used to characterize conditions across the basin during the growing and the non-growing seasons without the influence of elevated discharge. The GIS data presented was used to both help in selecting the 58 sites.

In 2012, the CPUC ordered the development of a statewide map that is designed specifically for the purpose of identifying areas where there is an increased risk for utility associated wildfires. The development of the CPUC -sponsored fire-threat map, herein "CPUC Fire-Threat Map," started in R.08-11-005 and continued in R.15-05-006.

A multistep process was used to develop the statewide CPUC Fire-Threat Map. The first step was to develop Fire Map 1 (FM 1), an agnostic map which depicts areas of California where there is an elevated hazard for the ignition and rapid spread of powerline fires due to strong winds, abundant dry vegetation, and other environmental conditions. These are the environmental conditions associated with the catastrophic powerline fires that burned 334 square miles of Southern California in October 2007. FM 1 was developed by CAL FIRE and adopted by the CPUC in Decision 16-05-036.

FM 1 served as the foundation for the development of the final CPUC Fire-Threat Map. The CPUC Fire-Threat Map delineates, in part, the boundaries of a new High Fire-Threat District (HFTD) where utility infrastructure and operations will be subject to stricter fire‑safety regulations. Importantly, the CPUC Fire-Threat Map (1) incorporates the fire hazards associated with historical powerline wildfires besides the October 2007 fires in Southern California (e.g., the Butte Fire that burned 71,000 acres in Amador and Calaveras Counties in September 2015), and (2) ranks fire-threat areas based on the risks that utility-associated wildfires pose to people and property.

Primary responsibility for the development of the CPUC Fire-Threat Map was delegated to a group of utility mapping experts known as the Peer Development Panel (PDP), with oversight from a team of independent experts known as the Independent Review Team (IRT). The members of the IRT were selected by CAL FIRE and CAL FIRE served as the Chair of the IRT. The development of CPUC Fire-Threat Map includes input from many stakeholders, including investor-owned and publicly owned electric utilities, communications infrastructure providers, public interest groups, and local public safety agencies.

The PDP served a draft statewide CPUC Fire-Threat Map on July 31, 2017, which was subsequently reviewed by the IRT. On October 2 and October 5, 2017, the PDP filed an Initial CPUC Fire-Threat Map that reflected the results of the IRT's review through September 25, 2017. The final IRT-approved CPUC Fire-Threat Map was filed on November 17, 2017. On November 21, 2017, SED filed on behalf of the IRT a summary report detailing the production of the CPUC Fire-Threat Map(referenced at the time as Fire Map 2). Interested parties were provided opportunity to submit alternate maps, written comments on the IRT-approved map and alternate maps (if any), and motions for Evidentiary Hearings. No motions for Evidentiary Hearings or alternate map proposals were received. As such, on January 19, 2018 the CPUC adopted, via Safety and Enforcement Division's (SED) disposition of a Tier 1 Advice Letter, the final CPUC Fire-Threat Map.

Additional information can be found here.

This Geographic Information System (GIS) dataset is part of a comprehensive effort designed to facilitate analysis and understanding of sea-level-rise exposure in the United States and outlying territories. The dataset is derived from sea-level-rise projections published in two National Oceanic and Atmospheric Administration (NOAA) technical reports: 1) Global and Regional Sea Level Rise Scenarios for the United States (2017; https://tidesandcurrents.noaa.gov/publications/techrpt83_Global_and_Regional_SLR_Scenarios_for_the_US_final.pdf) and 2) Global and Regional Sea Level Rise Scenarios for the United States: Updated Mean projections and Extreme Water Level Probabilities Along U.S. Coastlines (2022; https://sealevel.globalchange.gov/internal_resources/756/noaa-nos-techrpt01-global-regional-SLR-scenarios-US.pdf).

Each of the NOAA technical reports includes multiple sets of point projections based on mean global sea-level-rise scenarios. Global mean sea-level-rise scenarios provide an overall estimate of how sea level could change in the future. However, local effects can produce sea level changes that are substantially different than the global average. To capture those effects, the sea-level-rise projections produced for these reports utilized a 1-degree grid (approximately 111 km by 89 km at 38° north latitude) covering the coastlines of the U.S. mainland, Alaska, Hawaii, and the Caribbean and Pacific Island territories as well as the precise location of tide gauges along these coastlines. Adjustments to sea level projections at each point location include 1) shifts in oceanographic factors such as circulation patterns, 2) changes in the Earth’s gravitational field and rotation, and flexure of the crust and upper mantle, due to melting of land-based ice, 3) vertical land movement (subsidence or uplift) due to glacial isostatic adjustment (ongoing changes in elevation due to the retreat of ice sheets at the end of the last Ice Age), sediment compaction, groundwater and fossil fuel withdrawals and other non-climatic factors.

The 2017 report included six scenarios: 0.3, 0.5, 1.0, 1.5, 2.0 and 2.5 meters of global mean sea-level rise; the 2022 report reassessed the projections for the first five scenarios and eliminated the extreme (2.5-m) scenario from consideration based on its very low probability of occurrence. The projections in these reports are provided at approximately decadal time scales and include a year 2000 baseline and the following time horizons: 2010 (2017 dataset only), 2020, 2030, 2040, 2050, 2060, 2070, 2080, 2090, 2100, 2110 (2022 dataset only), 2120, 2130 (2022 dataset only), 2140 (2022 dataset only), 2150, and 2200 (2017 dataset only). GIS visualizations for each of these 149 combinations is available as polygons that show areal extent of mean sea level and rasters that include a water depth component for each pixel at 30-m resolution. Data files are grouped by dataset (2017 or 2022) and geography, with the continental United States divided along regional boundaries used by the US Environmental protection Agency.

These datasets are intended to provide users with GIS data layers linked to time horizons that are useful to programmatic or project-based planning processes, thus providing critical insight for policymakers, researchers, planners, and others concerned with climate adaptation practices addressing sea-level rise in coastal areas.

Mics should be on muteQuestions in SLIDO Raise hand and we can unmute youSome of us are working from home

Geospatial data about Rockford, Illinois Elevated Tanks. Export to CAD, GIS, PDF, CSV and access via API.

Spatial analysis with a GIS was used to evaluate geothermal systems in Nevada using digital maps of geology, heat flow, young faults, young volcanism, depth to groundwater, groundwater geochemistry, earthquakes, and gravity. High-temperature (>160??C) extensional geothermal systems are preferentially associated with northeast-striking late Pleistocene and younger faults, caused by crustal extension, which in most of Nevada is currently oriented northwesterly (as measured by GPS). The distribution of sparse young (<1.5Ma) basaltic vents also correlate with geothermal systems, possibly because the vents help identify which young structures penetrate deeply into the crust. As expected, elevated concentrations of boron and lithium in groundwater were found to be favorable indicators of geothermal activity. Known high-temperature (>160??C) geothermal systems in Nevada are more likely to occur in areas where the groundwater table is shallow (<30m). Undiscovered geothermal systems may occur where groundwater levels are deeper and hot springs do not issue at the surface. A logistic regression exploration model was developed for geothermal systems, using young faults, young volcanics, positive gravity anomalies, and earthquakes to predict areas where deeper groundwater tables are most likely to conceal geothermal systems.

City of Cambridge, MA, GIS basemap development project encompasses the land area of City of Cambridge with a 200-foot fringe surrounding the area and Charles River shoreline towards Boston. The basemap data was developed at 1" = 40' mapping scale using digital photogrammetric techniques. Planimetric features; both man-made and natural features like vegetation, rivers have been depicted. These features are important to all GIS/mapping applications and publication. A set of data layers such as Buildings, Roads, Rivers, Utility structures, 1 ft interval contours are developed and represented in the geodatabase. The features are labeled and coded in order to represent specific feature class for thematic representation and topology between the features is maintained for an accurate representation at the 1:40 mapping scale for both publication and analysis. The basemap data has been developed using procedures designed to produce data to the National Standard for Spatial Data Accuracy (NSSDA) and is intended for use at 1" = 40 ' mapping scale. Where applicable, the vertical datum is NAVD1988.Explore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription TYPE type: Stringwidth: 50precision: 0 Type of rail line (active, elevated, abandoned, ect)

GRADE type: Stringwidth: 50precision: 0

Abstract: Arc-GIS 10.X toolbox for a semi-automated extraction of paleo-shorelines from high-resolution DEMs

In the recent past, there has been continuing growth in using GIS and related technologies by many organizations engaged in planning and management of the Kathmandu Valley. As a result, the demand for accurate and homogenous spatial data of the Valley has been realized by government as well as research and development organizations.

    This study attempts to build a comprehensive GIS Database of the Kathmandu
    Valley with an aim to bridge the important data gaps in the Valley. The study
    employs a fresh approach in constructing a GIS database with the available maps
    and integrates many different kinds of satellite imageries. The maps presented
    in this publication visualize the different scenarios and raise the awareness
    of exiting digital database. The application presented in this publication
    shall increase awareness about the usefulness of digital database and
    demonstrate what can be achieved with the GIS and related technologies. The
    database thus developed shall improve the availability of information of the
    Kathmandu Valley and assist different stakeholders engaged in planning and
    management of the Valley.

    Furthermore, the study advocates a building block approach to development,
    management and revision of database in a complementary way and it hopes to
    avoid duplication of efforts in costly production of digital data. The study
    hopes to sensitise senior executives and decision-makers about the need for a
    sound policy on database sharing, development and standards. Such a policy, at
    the national level known as National Spatial Database Infrastructure (NSDI)
    should evolve in order to benefit from the prevailing GIS technology. In using
    GIS and related technologies, the study facilitated the establishment of
    Spatial Data Infrastructure of the Kathmandu Valley in a concrete manner.


    Members informations:
    Attached Vector(s):
     MemberID: 1
    Vector Name: Contours
    Source Map Name: topo sheets
    Source Map Scale: 25000
    Source Map Date: 1905-06-17
    Projection: transverse mercator
    Projection_desc: origin 87E/ 0N, false easting=900000, scale=0.9999
    Projection_meas: Meter
    Feature_type: lines
    Vector 
    Contours digitized from topo sheets

    Members informations:
    Attached Vector(s):
     MemberID: 2
    Vector Name: Roads
    Source Map Name: topo sheet
    Source Map Scale: 25000
    Source Map Date: 1905-06-17
    Projection: see member1
    Feature_type: lines
    Vector 
    Road Network

    Members informations:
    Attached Vector(s):
     MemberID: 3
    Vector Name: Drainage
    Source Map Name: topo sheets
    Source Map Scale: 25000
    Source Map Date: 1905-06-17
    Projection: see member 1
    Feature_type: lines
    Vector 
    Drainage Network

    Members informations:
    Attached Vector(s):
     MemberID: 4
    Vector Name: Land use 78
    Source Map Name: LRMP
    Source Map Scale: 50000
    Source Map Date: 1905-05-31
    Feature_type: polygon
    Vector 
    Land use

    Members informations:
    Attached Vector(s):
     MemberID: 5
    Vector Name: Land use 1995
    Source Map Name: topo sheet
    Source Map Scale: 25000
    Source Map Date: 1905-06-17
    Feature_type: polygon
    Vector 
    Land cover


    Members informations:
    Attached Vector(s):
     MemberID: 6
    Vector Name: Administrative boundaries
    Source Map Name: topo sheet
    Source Map Scale: 25000
    Source Map Date: 1905-06-17
    Feature_type: polygon
    Vector 
    District and VDC boundaries and various socio-economic data

    Attached Report(s)
    Member ID: 7
    Report Name: Kathmandu Valley GIS database
    Report Authors: B. Shrestha & S. Pradhan
    Report Publisher: ICIMOD
    Report Date: 2000-02-01
    Report 
    Report

Abstract

This dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. The metadata was not provided by the data supplier and has been compiled by the programme based on known details.

The main objectives of the Clarence-Moreton *SEEBASETM and GIS Project study were to provide the NSW Department of Primary Industries with an integrated regional interpretation of the basement composition, lithology, structure and depth of the Clarence-Moreton Basin in New South Wales. This included the construction of a depth to basement image (SEEBASE™) for the area.

The effects of the basement geology on the evolution of the Clarence-Moreton Basin (both onshore and offshore) and of its precursors, the Esk Trough and the Ipswich Basin have been investigated. Attention was focused on the formation and reactivation of the basin controlling structures. The evolution of these structures has been evaluated in the light of the different tectonic events that have affected the area.

Maturity and fluid flow migration maps derived from SEEBASETM grids indicate that the central axis of the onshore depocentres and parts of the offshore basin are mature for present-day oil generation. However, these maps probably underestimate the maturity along the eastern margin of the basin, due to significant uplift and erosion that occurred during the Cenomanian. Such areas are likely to be mature for hydrocarbon generation provided adequate source rocks are present at depth.

Available gravity and magnetic data have been reprocessed and enhanced with an extensive set of wavelength and amplitude filters. An ArcMap 9.0 GIS product has been constructed that includes all structural interpretations, as well as the potential field data.

The revised and expanded interpretation of the structure and basin architecture in the area of the Clarence-Moreton Basin provides an improved understanding of basin evolution in the region, which will contribute to the reduction of exploration risks in the area.

[Taken from executive summary of report cited in History]

This dataset has been provided to the BA Programme for use within the programme only. Third parties should contact the NSW Department of Industry. http://www.industry.nsw.gov.au/

Dataset History

No specific metadata file or history statement provided. See MR707_report.pdf in 'seebase&strucuralGisProject_cla-mor_nsw-dpi\Report' directory.

Dataset Citation

NSW Department of Primary Industries (2014) Clarence-Moreton SEEBASE & Structural GIS Project data.. Bioregional Assessment Source Dataset. Viewed 28 September 2017, http://data.bioregionalassessments.gov.au/dataset/b1690f8b-4025-45d2-96a0-6feb03ff3e52.

Files from my presentation at the 2025 ESRI User ConferenceAdvocacy is crucial for food banks to raise awareness about food insecurity and their role in combating it. Often working behind the scenes, food banks must share their impact with the public and policymakers. Data can provide measurable evidence of the scope and disparities of food insecurity. The Food Bank Council of Michigan's interactive map, featuring built-in infographics, summarizes food insecurity and socioeconomic data for Michigan's 87 counties, serving as a powerful advocacy and educational tool, highlighting the collective efforts to alleviate food insecurity statewide.Files from my presentation at the 2025 ESRI User ConferenceAdvocacy is crucial for food banks to raise awareness about food insecurity and their role in combating it. Often working behind the scenes, food banks must share their impact with the public and policymakers. Data can provide measurable evidence of the scope and disparities of food insecurity. The Food Bank Council of Michigan's interactive map, featuring built-in infographics, summarizes food insecurity and socioeconomic data for Michigan's 87 counties, serving as a powerful advocacy and educational tool, highlighting the collective efforts to alleviate food insecurity statewide.Link to the StoryMapContains 3 Files:The Infographic template from ESRI's Business Analyst (.brpt)The Excel File with Metadata Tab (data sources and notes on calculations specific to the infographic) (.xlxs)Enriched Shapefile used to create the Infographic (.zip)

This study applied a nuclear technique in conjunction with a classical monitoring tool to characterize the origin, fate, and behavior of metal pollutants in groundwater of Islamabad-Rawalpindi Metropolitans, which are also known as the “twin cities.” In total, 122 groundwater samples were collected and analyzed in accordance with standard methods. GIS and multivariate statistical analysis were employed for the groundwater vulnerability assessment and source apportionment. The results of the aesthetic parameters indicated that the majority of groundwater sources were tested and were colorless, odorless and tasteless in the “twin cities.” In addition, the findings of this study indicated that the concentration of pH, phosphates, copper, manganese, and zinc were within the drinking water standards in the “twin cities” as stipulated by the World Health Organization (WHO) and Pakistan Standard and Quality Control Authority (PSQCA) at all sampling points in the study area. The groundwater quality was found unsuitable for consumption due to elevated levels of electrical conductivity and total dissolved solids at 9.83% and 4.09% of samples, respectively. The contents of arsenic and fluoride were well within the allowable range at almost all points except at one location. However, iron and lead contents were above permissible limits. A statistical analysis revealed that trace metals originated from both geogenic and anthropogenic sources such as enhanced rock-water interaction, over abstraction, evaporation enrichment, improper waste disposal, discarded batteries, cross contamination of water supply and sewerage lines, active recharge from Lie drain, and domestic, industrial, and agricultural effluents. The computed water quality index (WQI) based on heavy metals elucidated that groundwater quality was poor in most of the study area due to elevated electrical conductivity, total dissolved solids, lead, iron, arsenic, and fluoride values. A highly depleted isotopic composition of 13C provides clues about the aquifer’s vulnerability from miscellaneous sources such as domestic, urban, construction, and agricultural sites and the dissolution of carbonate minerals. This study clearly indicates that a rapidly growing population, unplanned urbanization, industrialization, improper waste disposal, over abstraction, and a lack of water abstraction policies are significantly contributing toward the impairment of groundwater quality in the study area. The study strongly emphasized the need to regulate groundwater abstraction by improving water treatment and the supply system for the provision of safe water to the urban populace. These results will help in designing remedial strategies for improving water quality in the “twin cities.”

Here we present a geospatial dataset representing local- and regional-scale aquifer system boundaries, defined on the basis of an extensive literature review and published in GebreEgziabher et al. (2022). Nature Communications, 13, 2129, https://www.nature.com/articles/s41467-022-29678-7

The database contains 440 polygons, each representing one study area analyzed in GebreEgziabher et al. (2022). The attribute table associated with the shapefile has two fields (column headings): (1) aquifer system title (Ocala Uplift sub-area of the broader Floridan Aquifer System), and (2) broader aquifer system title (e.g., the Floridan Aquifer System).

• to explore the available data via an interactive app please visit the following URL: https://ucsb.maps.arcgis.com/apps/instant/nearby/index.html?appid=2a238e4ed2434d21b3b53c861a064d8f
• to explore the 3D nature of a dozen aquifer systems please see the following storymap: https://storymaps.arcgis.com/stories/a91f061759e64e44af38daf6cefa4259

This Transportation dataset, photogrammetrically compiled and published at 1" = 100 ' scale, was produced from aerial imagery collected in April 2023 using UltraCAM Eagle camera and covers entire Westchester County, NY. It is described as 'tans_poly' and delivered as a planimetric layer from 2023 imagery compiled/updated in 2D environment using 6" GSD ortho imagery. The layer includes roads, driveways, sidewalks, parking lots, trails and elevated roads.

In October 2020, Governor Newsom signed his Nature Based Solutions Executive Order N-82-20, elevating the role of natural and working lands in the fight against climate change and advancing biodiversity conservation as an administration priority. 30x30 is part of an international movement, to use conservation of natural areas to protect biodiversity and combat climate change.To date, over 70 countries have signed onto the pledge...

This dataset contains lead blood levels, by Census Block Group, for the state of Michigan in 2017. An elevated blood lead level (EBLL) was defined by blood lead levels above 4.5 micrograms of lead per deciliter of blood (μg/dL). Data Driven Detroit received lead blood level test results for individuals in the state from Michigan Department of Health and Human Services, and then aggregated the data to anonymize results. Areas with null values represent no blood lead level testing or numbers that have been suppressed (less than 6) to protect the tested individuals. Click here for metadata (descriptions of the fields).