Note: Sample data provided. ・ Eversource's Hosting Capacity Map shows the maximum amount of energy a distributed resource, like solar panels, can be accommodated on the distribution system at a given location. This datacard is for Eastern Massachusetts.

Eastern Massachusetts (EMA) network

Note: This is a highway subnetwork extracted from the entire EMA network.

Source / History

Via: InverseVIsTraffic

Cost Function

An inverse VI problem, as the inverse problem to the typical traffic assignment problem, was formulated in the following publications. The travel latency cost function was assumed unknown. Based on actual traffic data, the equilibrium flows were inferred and OD demand estimated. Finally, the cost function was estimated as a polynomial function with degree 8 (see EMA_intro.pdf). The data were derived for the PM period of Apr. 2012.

Related Publications

Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras, and Ioannis Ch. Paschalidis, "***The Price of Anarchy in Transportation Networks by Estimating User Cost Functions from Actual Traffic Data***," Proceedings of the 55th IEEE Conference on Decision and Control, pp. 789-794, December 12-14, 2016, Las Vegas, NV, USA, Invited Session Paper.

Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras, and Ioannis Ch. Paschalidis, "***Data-driven Estimation of Origin-Destination Demand and User Cost Functions for the Optimization of Transportation Networks***," The 20th World Congress of the International Federation of Automatic Control, July 9-14, 2017, Toulouse, France, accepted as Invited Session Paper. arXiv:1610.09580

Jing Zhang and Ioannis Ch. Paschalidis, "***Data-Driven Estimation of Travel Latency Cost Functions via Inverse Optimization in Multi-Class Transportation Networks***," Proceedings of the 56th IEEE Conference on Decision and Control, December 12-15, 2017, Melbourne, Australia, submitted. arXiv:1703.04010

Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras, and Ioannis Ch. Paschalidis, "***The Price of Anarchy in Transportation Networks: Data-Driven Evaluation and Reduction Strategies***," Proceedings of the IEEE: special issue on "Smart Cities," in preparation.

Scenario

PM perod of Apr. 2012; EMA highway network

Contents

• EMA_net.tntp Network
• EMA_trips.tntp Demand
• EMA_entire.png Map of expanded network
• EMA_highway.jpg Map of EMA highway network
• EMA_intro.pdf Description of network and suggestion for cost function

Dimensions

Zones: 74
Nodes: 74
Links: 258
Trips: 65,576.37543099989

Units

Time: hours
Distance: miles

Generalized Cost Weights

Toll: 0
Distance: 0

Find local risk levels for Eastern Equine Encephalitis (EEE) and West Nile Virus (WNV) based on seasonal testing from June to October.

Time series map of Eastern MA demographics.

Town of East Brookfield, MA GIS Viewer

This data release presents geologic map data for the surficial geology of the Aztec 1-degree by 2-degree quadrangle. The map area lies within two physiographic provinces of Fenneman (1928): the Southern Rocky Mountains province, and the Colorado Plateau province, Navajo section. Geologic mapping is mostly compiled from published geologic map data sources ranging from 1:24,000 to 1:250,000 scale, with limited new interpretive contributions. Gaps in map compilation are related to a lack of published geologic mapping at the time of compilation, and not necessarily a lack of surficial deposits. Much of the geology incorporated from published geologic maps is adjusted based on digital elevation model and natural-color image data sources to improve spatial resolution of the data. Spatial adjustments and new interpretations also eliminate mismatches at source map boundaries. This data set represents only the surficial geology, defined as generally unconsolidated to moderately consolidated sedimentary deposits that are Quaternary or partly Quaternary in age, and faults that have documented Quaternary offset. Bedrock and sedimentary material directly deposited as a result of volcanic activity are not included in this database, nor are faults that are not known to have moved during the Quaternary. Map units in the Aztec quadrangle include alluvium, glacial, eolian, mass-wasting, colluvium, and alluvium/colluvium deposit types. Alluvium map units, present throughout the map area, range in age from Quaternary-Tertiary to Holocene and form stream-channel, floodplain, terrace, alluvial-fan, and pediment deposits. Along glaciated drainages terraces are commonly made up of glacial outwash. Glacial map units are concentrated in the northeast corner of the map area and are mostly undifferentiated till deposited in mountain valleys during Pleistocene glaciations. Eolian map units are mostly middle Pleistocene to Holocene eolian sand deposits forming sand sheets and dunes. Mass-wasting map units are concentrated in the eastern part of the map area, and include deposits formed primarily by slide, slump, earthflow, and rock-fall processes. Colluvium and alluvium/colluvium map units form hillslope and undifferentiated valley floor/hillslope deposits, respectively. The detail of geologic mapping varies from about 1:50,000- to 1:250,000-scale depending on the scale of published geologic maps available at the time of compilation, and for new mapping, the resolution of geologic features on available basemap data. Map units are organized within geologic provinces as described by the Seamless Integrated Geologic Mapping (SIGMa) (Turner and others, 2022) extension to the Geologic Map Schema (GeMS) (USGS, 2020). For this data release, first order geologic provinces are the physiographic provinces of Fenneman (1928), which reflect the major geomorphological setting affecting depositional processes. Second order provinces are physiographic sections of Fenneman (1928) if present. Third and fourth order provinces are defined by deposit type. Attributes derived from published source maps are recorded in the map unit polygons to preserve detail and allow database users the flexibility to create derivative map units. Map units constructed by the authors are based on geologic province, general deposit type and generalized groupings of minimum and maximum age to create a number of units typical for geologic maps of this scale. Polygons representing map units were assigned a host of attributes to make that geology easily searchable. Each polygon contains a general depositional process (‘DepositGeneral’) as well as three fields that describe more detailed depositional processes responsible for some deposition in that polygon (‘LocalGeneticType1’ – ‘LocalGeneticType3’). Three fields describe the materials that make up the deposit (‘LocalMaterial1’ – ‘LocalMaterial3’) and the minimum and maximum chronostratigraphic age of a deposit is stored in the ‘LocalAgeMin’ and ‘LocalAgeMax’ fields, respectively. Where a polygon is associated with a prominent landform or a formal stratigraphic name the ‘LocalLandform’ and ‘LocalStratName’ fields are populated. The field ‘LocalThickness’ provides a textual summary of how thick a source publication described a deposit to be. Where three fields are used to describe the contents of a deposit, we attempt to place descriptors in a relative ordering such that the first field is most prominent, however for remotely interpreted deposits and some sources that provide generalized descriptions this was not possible. Values within these searchable fields are generally taken directly from source maps, however we do perform some conservative adjustments of values based on observations from the landscape and/or adjacent source maps. Where new features were interpreted from remote observations, we derive polygon attributes based on a conservative correlation to neighboring maps. Detail provided at the polygon level is simplified into a map unit by matching its values to the DescriptionOfMapUnits_Surficial table. Specifically, we construct map units within each province based on values of ‘DepositGeneral’ and a set of chronostratigraphic age bins that attempt to capture important aspects of Quaternary landscape evolution. Polygons are assigned to the mapunit with a corresponding ‘DepositGeneral’ and the narrowest chronostratigraphic age bin that entirely contains the ‘LocalAgeMin’ and ‘LocalAgeMax’ values of that polygon. Therefore, users may notice some mismatch between the age range of a polygon and the age range of the assigned map unit, where ‘LocalAgeMin’ and ‘LocalAgeMax’ (e.g., Holocene – Holocene) may define a shorter temporal range than suggested by the map unit (e.g., Holocene – late Pleistocene). This apparent discrepancy allows for detailed information to be preserved in the polygons, while also allowing for an integrated suite of map units that facilitate visualization over a large region.

Humanity's role in changing the face of the earth is a long-standing concern, as is the human domination of ecosystems. Geologists are debating the introduction of a new geological epoch, the 'anthropocene', as humans are 'overwhelming the great forces of nature'. In this context, the accumulation of artefacts, i.e., human-made physical objects, is a pervasive phenomenon. Variously dubbed 'manufactured capital', 'technomass', 'human-made mass', 'in-use stocks' or 'socioeconomic material stocks', they have become a major focus of sustainability sciences in the last decade. Globally, the mass of socioeconomic material stocks now exceeds 10e14 kg, which is roughly equal to the dry-matter equivalent of all biomass on earth. It is doubling roughly every 20 years, almost perfectly in line with 'real' (i.e. inflation-adjusted) GDP. In terms of mass, buildings and infrastructures (here collectively called 'built structures') represent the overwhelming majority of all socioeconomic material stocks.

This dataset features a detailed map of material stocks in the CONUS on a 10m grid based on high resolution Earth Observation data (Sentinel-1 + Sentinel-2), crowd-sourced geodata (OSM) and material intensity factors.

Spatial extent
This subdataset covers the North East CONUS, i.e.

• CT
• DC
• DE
• MA
• MD
• ME
• NH
• NJ
• NY
• PA
• RI
• VA

For the remaining CONUS, see the related identifiers.

Temporal extent
The map is representative for ca. 2018.

Data format
The data are organized by states. Within each state, data are split into 100km x 100km tiles (EQUI7 grid), and mosaics are provided.

Within each tile, images for area, volume, and mass at 10m spatial resolution are provided. Units are m², m³, and t, respectively. Each metric is split into buildings, other, rail and street (note: In the paper, other, rail, and street stocks are subsumed to mobility infrastructure). Each category is further split into subcategories (e.g. building types).

Additionally, a grand total of all stocks is provided at multiple spatial resolutions and units, i.e.

• t at 10m x 10m
• kt at 100m x 100m
• Mt at 1km x 1km
• Gt at 10km x 10km

For each state, mosaics of all above-described data are provided in GDAL VRT format, which can readily be opened in most Geographic Information Systems. File paths are relative, i.e. DO NOT change the file structure or file naming.

Additionally, the grand total mass per state is tabulated for each county in mass_grand_total_t_10m2.tif.csv. County FIPS code and the ID in this table can be related via FIPS-dictionary_ENLOCALE.csv.

Material layers
Note that material-specific layers are not included in this repository because of upload limits. Only the totals are provided (i.e. the sum over all materials). However, these can easily be derived by re-applying the material intensity factors from (see related identifiers):

A. Baumgart, D. Virág, D. Frantz, F. Schug, D. Wiedenhofer, Material intensity factors for buildings, roads and rail-based infrastructure in the United States. Zenodo (2022), doi:10.5281/zenodo.5045337.

Further information
For further information, please see the publication.
A web-visualization of this dataset is available here.
Visit our website to learn more about our project MAT_STOCKS - Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society.

Publication
D. Frantz, F. Schug, D. Wiedenhofer, A. Baumgart, D. Virág, S. Cooper, C. Gómez-Medina, F. Lehmann, T. Udelhoven, S. van der Linden, P. Hostert, and H. Haberl (2023): Unveiling patterns in human dominated landscapes through mapping the mass of US built structures. Nature Communications 14, 8014. https://doi.org/10.1038/s41467-023-43755-5

Funding
This research was primarly funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950). Workflow development was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—Project-ID 414984028-SFB 1404.

Acknowledgments
We thank the European Space Agency and the European Commission for freely and openly sharing Sentinel imagery; USGS for the National Land Cover Database; Microsoft for Building Footprints; Geofabrik and all contributors for OpenStreetMap.This dataset was partly produced on EODC - we thank Clement Atzberger for supporting the generation of this dataset by sharing disc space on EODC.

no abstract provided

This record is maintained in the National Geologic Map Database (NGMDB). The NGMDB is a Congressionally mandated national archive of geoscience maps, reports, and stratigraphic information, developed according to standards defined by the cooperators, i.e., the USGS and the Association of American State Geologists (AASG). Included in this system is a comprehensive set of publication citations, stratigraphic nomenclature, downloadable content, unpublished source information, and guidance on standards development. The NGMDB contains information on more than 90,000 maps and related geoscience reports published from the early 1800s to the present day, by more than 630 agencies, universities, associations, and private companies. For more information, please see http://ngmdb.usgs.gov/.

The four adjacent Outer Cape communities of Eastham, Truro, Provincetown, and Wellfleet have built an intermunicipal partnership to pursue a regional approach to shoreline management. This partnership promotes short- and long-term science-based decisions that will maximize the effectiveness and efficiency of community responses to the increased threat of coastal hazards. This map set is a product of that partnership, the Intermunicipal Shoreline Management Project, a project first initiated in 2019 with funding from CZM's Coastal Resilience Grant Program.Maps showing the general location of littoral cells, the sediment transport system and ISM management cells along the eastern shoreline of Cape Cod Bay.Management Cells: The spatial base map upon which to implement a regional shoreline management framework for the ISM planning area. Recognizing that nearshore and shoreline characteristics drive coastal change, management cells are organized around the concept of littoral cells or natural coastal compartments that contain a complete cycle of sedimentation including sources, transport paths, and sinks. Management cells can be used to determine a shoreline project’s location within the littoral cell and to aid in the identification of key management considerations for a given project. Ignoring municipal boundaries should enhance each town’s ability to work with the natural processes of coastal change and help facilitate a uniform, science-based regional shoreline management approach. Littoral Cells / Sediment Transport System: Although represented as discrete points and lines, features are not intended to imply point specific locations. Rather the information provided is intended to visualize generally the areas of sediment sources and sinks, the locations of null points, and the directions of net sediment transport along the eastern shore of Cape Cod Bay.DefinitionsLittoral Cell: A coastal compartment that contains a complete cycle of sedimentation including sources, transport paths, and sinks. Net Longshore Sediment Transport (Q): Annual net flow of sediment along the coast expressed as the volume rate of wave-produced sediment transport. Null Point: A point along the shore that defines the updrift or down drift boundary of a littoral cell, (Q=0). Sediment Sink: An area where sediment is removed from a littoral cell (an area of deposition). Sediment Source: An area where sediment in added to a littoral cell (an area of erosion). For more information seeBerman, G.A., 2011, Longshore Sediment Transport, Cape Cod, Massachusetts. Marine Extension Bulletin, Woods Hole Sea Grant & Cape Cod Cooperative Extension. 48 p.Giese, G.S., Borrelli, M., Mague, S.T., Barger, P., McFarland, S., 2018. Assessment of the Century-Scale Sediment Budget for the Eastham and Wellfleet Coasts of Cape Cod Bay. A Report Submitted to the Towns of Eastham and Wellfleet, Center for Coastal Studies, Provincetown, MA. 32p. Giese, G.S., M. Borrelli, S.T. Mague, T. Smith and P. Barger, 2014, Assessment of Multi- Decadal Coastal Change: Provincetown Harbor to Jeremy Point, Wellfleet. A Report Submitted to the Massachusetts Bays Program, .Center for Coastal Studies, Provincetown, MA. 23 p. Giese, G.S., Borrelli, M., Mague, S.T., Smith, T.L., Barger, P., Hughes, P., 2013. Evaluating century-scale coastal change: Provincetown/Truro line to Provincetown Harbor. No. 14- 1, Center for Coastal Studies. 11p.

The data in this feature service uses the same polygons as the MassGIS USGS 1:24,000 Surficial Geology data layer and includes minimum, maximum, and average hydraulic conductivity in feet per day for each surficial unit. Hydraulic conductivity values were extracted from U.S. Geological Survey groundwater reports, Massachusetts Department of Environmental Protection Zone II reports, and other Massachusetts-specific journal articles (a total of 165 aquifer tests or aggregates of aquifer tests depending on the available data in each report).The Hydrogeologic Atlas of Massachusetts provides data on the hydraulic properties of the statewide surficial aquifers. The datasets were developed using surficial geology, bedrock altitude, a statewide groundwater flow model, and a compilation of hydraulic property data from U.S. Geological Survey groundwater reports, Massachusetts Department of Environmental Protection Zone II reports, and other Massachusetts-specific journal articles (a total of 23 sources).\One of the goals of this project was to understand current and projected future groundwater flooding risks across the state. To understand groundwater flooding risks, we developed a statewide three-dimensional groundwater flow model to simulate the water table elevation. The Hydrogeologic Atlas of Massachusetts compiles new datasets developed as input into the groundwater model, groundwater model simulation results, and other statewide map products created through this project. For further information regarding the methods of this study see Corkran et al. (2024), a report submitted to the Massachusetts Executive Office of Energy and Environmental Affairs.Suggested Citation:Corkran, D., Kirshen, A., Moran, B.J., Blin, N., King, R., Bresee, M., & Boutt, D. (2024). Massachusetts State-wide Groundwater Model and Flooding Risk Assessment 1.0. Report funded by the Massachusetts Executive Office of Energy and Environmental Affairs and published on the ResilientMass website.See full metadata and the map service.

Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.

Meeting fundamental human needs while also maintaining ecosystem function and services is the central challenge of sustainability science. In the densely populated state of Massachusetts, USA, abundant forests and other natural land cover convey a range of ecosystem services. However, after more than a century of reforestation following an agrarian past, Massachusetts is again losing forests, this time to housing and commercial development. We used land-cover maps, ecosystem process models, and land-use data bases to map changes (2001, 2006, 2011) in eight ecosystem service variables and to identify “hotspots,” or areas that produce a high value of five or more services, at three policy-relevant spatial scales. Water-related services (clean water provisioning and flood regulation) experienced local declines in response to shifting land uses, but changed little when measured at the state-level. General habitat quality for terrestrial species declined state-wide during the study period as a consequence of forest loss. In contrast, climate regulation (carbon storage) and cultural services (outdoor recreation) increased, driven by continued forest biomass accrual and land protection, respectively. Timber harvest volume had high inter-annual variability, but no temporal trend. The scale at which hotspots are delineated greatly affects their quantity and spatial configuration, with a higher density in eastern Massachusetts and 10–12% more hotspots overall when they are identified at a town scale as compared to a watershed or state scale.

    Ecosystem service hotspots cover a small percentage of land area in Massachusetts (2.5–3.5% of the state), but are becoming more abundant as urbanization concentrates ecosystem service provisioning onto a diminished natural land base. This suggests that while ecosystem service hotspots are valuable targets for conservation, more are not necessarily better since hotspot proliferation can reflect the bifurcation of the landscape into service and non-service provisioning areas and subsequent loss of diversity across the landscape.

This tile layer from MassGIS displays elevation and shaded relief imagery derived from 2013-2021 lidar data for the Commonwealth of Massachusetts. The elevation data is symbolized with a custom color ramp. The shaded relief data is symbolized with the sunlight shining from the northwest (315 degrees) at a sun angle of 45 degrees. The two image datasets are displayed using a blending mode as mapped in ArcGIS Pro software.Data for the eastern and central areas of the mainland was captured in 2021, Nantucket from 2018, and the western part of the state from 2013 and 2014. The tile service will display at scale levels 7 (1:4.6M) to 19 (1:1128).For more information and links to data downloads, see MassGIS' Lidar Terrain Data page.

The surficial geologic map of the Eastern and Central United States depicts the areal distribution of surficial geologic deposits and other materials that accumulated or formed during the past 2+ million years, the period that includes all activities of the human species. These materials are at the surface of the earth. They make up the "ground" on which we walk, the "dirt" in which we dig foundations, and the “soil” in which we grow crops. Most of our human activity is related in one way or another to these surface materials that are referred to collectively by many geologists as regolith, the mantle of fragmental and generally unconsolidated material that overlies the bedrock foundation of the continent. The map is based on 31 published maps in the U.S. Geological Survey's Quaternary Geologic Atlas of the United States map series (U.S. Geological Survey Miscellaneous Investigations Series I-1420). It was compiled at 1:1,000,000 scale, to be viewed as a digital map at 1:2,000,000 nominal scale and to be printed as a conventional paper map at 1:2,500,000 scale. This map is not a map of soils as recognized and classified in agriculture. Rather, it is a generalized map of soils as recognized in engineering geology, or of substrata or parent materials in which agricultural, agronomic, or pedologic soils are formed. Where surficial deposits or materials are thick, agricultural soils are developed only in the upper part of the engineering soils. Where they are very thin, agricultural soils are developed through the entire thickness of a surficial deposit or material. The surficial geologic map provides a broad overview of the areal distribution of surficial deposits and materials. It identifies and depicts more than 150 types of deposits and materials. In general, the map units are divided into two major categories, surface deposits and residual materials. Surface deposits are materials that accumulated or were emplaced after component particles were transported by ice, water, wind, or gravity. The glacial sediments that cover the surface in much of the northern United States east of the Rocky Mountains are in this category, as are the gravel, sand, silt, and clay that were deposited in past and present streams, lakes, and oceans. In contrast, residual materials formed in place, without significant transport of component particles by ice, water, wind, or gravity. They are products of modification or alteration of pre-existing surficial deposits, surficial materials, or bedrock. For example, intense weathering of solid rock, or even stream deposits, by chemical processes may produce a residual surficial material that is greatly transformed from its original physical and chemical state. In recent years, surficial deposits and materials have become the focus of much interest by scientists, environmentalists, governmental agencies, and the general public. They are the foundations of ecosystems, the materials that support plant growth and animal habitat, and the materials through which travels much of the water required for our agriculture, our industry, and our general well being. They also are materials that easily can become contaminated by pesticides, fertilizers, and toxic wastes. In this context, the value of the surficial geologic map is evident The map and its digital database provide information about four major aspects of the surficial materials, through description of more than 150 types of materials and depiction of their areal distribution. The map unit descriptions provide information about (1) genesis (processes of origin) or environments of deposition (for example, deposits related to glaciation (glacial deposits), flowing water (alluvial deposits), lakes (lacustrine deposits), wind (eolian deposits), or gravity (mass-movement deposits)), (2) age (for example, how long ago the deposits accumulated or were emplaced or how long specific processes have been acting on the materials), (3) properties (the chemical, physical, and mechanical or engineering characteristics of the materials), and (4) thickness or depth to underlying deposits or materials or to bedrock. This approach provides information appropriate for a broad user base. The map is useful to national, state, and other governmental agencies, to engineering and construction companies, to environmental organizations and consultants, to academic scientists and institutions, and to the layman who merely wishes to learn more about the materials that conceal the bedrock. The map can facilitate regional and national overviews of (1) geologic hazards, including areas of swelling clay and areas of landslide deposits and landslide-prone materials, (2) natural resources, including aggregate for concrete and road building, peat, clay, and shallow sources for groundwater, and (3) areas of special environmental concern, i... Visit https://dataone.org/datasets/d863e647-d00d-4994-89bc-be4be9d4adf0 for complete metadata about this dataset.

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration's National Marine Sanctuary Program, has conducted seabed mapping and related research in the Stellwagen Bank National Marine Sanctuary region since 1993. The area is approximately 3,700 square kilometers (km2) and is subdivided into 18 quadrangles. Seven maps, at a scale of 1:25,000, of quadrangle 6 (211 km2) depict seabed topography, backscatter, ruggedness, geology, substrate mobility, mud content, and areas dominated by fine-grained or coarse-grained sand. Interpretations of bathymetric and seabed backscatter imagery, photographs, video, and grain-size analyses were used to create the geology-based maps. In all, data from 420 stations were analyzed, including sediment samples from 325 locations. The seabed geology map shows the distribution of 10 substrate types ranging from boulder ridges to immobile, muddy sand to mobile, rippled sand. Substrate types are defined on the basis of sediment grain-size composition, surficial morphology, sediment layering, and the mobility or immobility of substrate surfaces. This map series is intended to portray the major geological elements (substrates, features, processes) of environments within quadrangle 6. Additionally, these maps will be the basis for the study of the ecological requirements of invertebrate and vertebrate species that utilize these substrates and guide seabed management in the region.

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration's National Marine Sanctuary Program, has conducted seabed mapping and related research in the Stellwagen Bank National Marine Sanctuary region since 1993. The area is approximately 3,700 square kilometers (km2) and is subdivided into 18 quadrangles. Seven maps, at a scale of 1:25,000, of quadrangle 6 (211 km2) depict seabed topography, backscatter, ruggedness, geology, substrate mobility, mud content, and areas dominated by fine-grained or coarse-grained sand. Interpretations of bathymetric and seabed backscatter imagery, photographs, video, and grain-size analyses were used to create the geology-based maps. In all, data from 420 stations were analyzed, including sediment samples from 325 locations. The seabed geology map shows the distribution of 10 substrate types ranging from boulder ridges to immobile, muddy sand to mobile, rippled sand. Substrate types are defined on the basis of sediment grain-size composition, surficial morphology, sediment layering, and the mobility or immobility of substrate surfaces. This map series is intended to portray the major geological elements (substrates, features, processes) of environments within quadrangle 6. Additionally, these maps will be the basis for the study of the ecological requirements of invertebrate and vertebrate species that utilize these substrates and guide seabed management in the region.

April 2022

New multidisciplinary data collected as part of the Exploring for the Future (EFTF) Program has changed our understanding of the basement geology of the East Tennant region in the Northern Territory, and its potential to host mineralisation. To ensure this understanding is accurately reflected in geological maps, we undertake a multidisciplinary interpretation of the basement geology in East Tennant. For the purposes of this product, basement comprises polydeformed and variably metamorphosed rocks of the pre-1800 Ma Warramunga Province, which are exposed in outcrop around Tennant Creek, to the west. In the East Tennant region, these rocks are entirely covered by younger flat-lying strata of the Georgina Basin, and locally covered by the Kalkarindji Suite, and South Nicholson Basin (Ahmad 2000).

The data from this solid geology map are designed to be included in mineral potential models and future updates to Geoscience Australia’s chronostratigraphic solid geology maps.

This interpretation comprises a Geographic Information System (GIS) dataset containing basement geology polygons, faults and contacts. Geological units are consistent with the Australian Stratigraphic Units Database and faults utilise existing conventions followed by Geoscience Australia’s chronostratigraphic solid geology products (Stewart et al. 2020). To aid in understanding the data, we have added a three-stage fault hierarchy. Basement geology was interpreted at 1:100000 scale (but is intended for display at 1:250000 scale) using geophysical imagery, namely total magnetic intensity and vertical derivatives of these data, and gravity. The interpretation makes use of numerous new datasets collected as part of the EFTF program. These include a new 2-km spaced gravity grid over most of East Tennant, drill-core lithology from new boreholes drilled as part of the MinEx CRC National Drilling Initiative, airborne electromagnetic data collected under the AusAEM program, new active seismic data, and geochronology from legacy boreholes. These data are available to view and download from the Geoscience Australia portal (https://portal.ga.gov.au).

We interpret that basement in the East Tennant region does represent the eastern continuation of the Warramunga Province. There is no obvious geophysical or geological boundary between Tennant Creek and East Tennant. However, the East Tennant region mostly lacks stratigraphy equivalent to the Ooradidgee Group, which overlies and postdates mineralisation in turbiditic rocks of the Warramunga Formation at Tennant Creek. Instead, East Tennant is underlain by a widespread succession of clastic metapelitic rocks that bear many lithological and geochronological similarities to the Warramunga Formation (Cross et al. 2020). Other important outcomes of this work include the documentation of significant regional faults and shear zones and abundant intrusive rocks at East Tennant. Geophysical and geochronological data suggest that this deformation and magmatism is the eastern continuation of ~1850 Ma tectonism preserved at Tennant Creek (e.g. Cross et al. 2020).

NOTE: Specialised (GIS) software is required to view this data.

References: Ahmad M, 2000. Geological map of the Northern Territory. 1:2 500 000 scale. Northern Territory Geological Survey, Darwin.

Cross AJ, Clark AD, Schofield A and Kositcin N, 2020. New SHRIMP U-Pb zircon and monazite geochronology of the East Tennant region: a possible undercover extension of the Warramunga Province, Tennant Creek. In: Czarnota K, Roach I, Abbott S, Haynes M, Kositcin N, Ray A and Slatter E (eds.) Exploring for the Future: Extended Abstracts, Geoscience Australia, Canberra, 1–4.

Stewart AJ, Liu SF, Bonnardot M-A, Highet LM, Woods M, Brown C, Czarnota K and Connors K, 2020. Seamless chronostratigraphic solid geology of the North Australian Craton. In: Czarnota K, Roach I, Abbott S, Haynes M, Kositcin N, Ray A and Slatter E (eds.) Exploring for the Future: Extended Abstracts, Geoscience Australia, Canberra, 1–4.

Yucca Mountain, Nye County, Nevada, has been identified as a potential site for underground storage of high-level radioactive waste. This geologic map compilation, including all of Yucca Mountain and Crater Flat, most of the Calico Hills, western Jackass Flats, Little Skull Mountain, the Striped Hills, the Skeleton Hills, and the northeastern Amargosa Desert, portrays the geologic framework for a saturated-zone hydrologic flow model of the Yucca Mountain site. Key geologic features shown on the geologic map and accompanying cross sections include: (1) exposures of Proterozoic through Devonian strata inferred to have been deformed by regional thrust faulting and folding, in the Skeleton Hills, Striped Hills, and Amargosa Desert near Big Dune; (2) folded and thrust-faulted Devonian and Mississippian strata, unconformably overlain by Miocene tuffs and lavas and cut by complex Neogene fault patterns, in the Calico Hills; (3) the Claim Canyon caldera, a segment of which is exposed north of Yucca Mountain and Crater Flat; (4) thick densely welded to nonwelded ash-flow sheets of the Miocene southwest Nevada volcanic field exposed in normal-fault-bounded blocks at Yucca Mountain; (5) upper Tertiary and Quaternary basaltic cinder cones and lava flows in Crater Flat and at southernmost Yucca Mountain; and (6) broad basins covered by Quaternary and upper Tertiary surficial deposits in Jackass Flats, Crater Flat, and the northeastern Amargosa Desert, beneath which Neogene normal and strike-slip faults are inferred to be present on the basis of geophysical data and geologic map patterns. A regional thrust belt of late Paleozoic or Mesozoic age affected all pre-Tertiary rocks in the region; main thrust faults, not exposed in the map area, are interpreted to underlie the map area in an arcuate pattern, striking north, northeast, and east. The predominant vergence of thrust faults exposed elsewhere in the region, including the Belted Range and Specter Range thrusts, was to the east, southeast, and south. The vertical to overturned strata of the Striped Hills are hypothesized to result from successive stacking of three south- vergent thrust ramps, the lowest of which is the Specter Range thrust. The CP thrust is interpreted as a north-vergent backthrust that may have been roughly contemporaneous with the Belted Range and Specter Range thrusts. The southwest Nevada volcanic field consists predominantly of a series of silicic tuffs and lava flows ranging in age from 15 to 8 Ma. The map area is in the southwestern quadrant of the southwest Nevada volcanic field, just south of the Timber Mountain caldera complex. The Claim Canyon caldera, exposed in the northern part of the map area, contains thick deposits of the 12.7-Ma Tiva Canyon Tuff, along with widespread megabreccia deposits of similar age, and subordinate thick exposures of other 12.8- to 12.7-Ma Paintbrush Group rocks. An irregular, blocky fault array, which affects parts of the caldera and much of the nearby area, includes several large-displacement, steeply dipping faults that strike radially to the caldera and bound south-dipping blocks of volcanic rock. South and southeast of the Claim Canyon caldera, in the area that includes Yucca Mountain, the Neogene fault pattern is dominated by closely spaced, north-northwest- to north- northeast-striking normal faults that lie within a north- trending graben. This 20- to 25-km-wide graben includes Crater Flat, Yucca Mountain, and Fortymile Wash, and is bounded on the east by the "gravity fault" and on the west by the Bare Mountain fault. Both of these faults separate Proterozoic and Paleozoic sedimentary rocks in their footwalls from Miocene volcanic rocks in their hanging walls. Stratigraphic and structural relations at Yucca Mountain demonstrate that block-bounding faults were active before and during eruption of the 12.8- to 12.7-Ma Paintbrush Group, and significant motion on these faults continued until after the 11.6-Ma Rainier Mesa Tuff was deposited. North of Crater Flat, in and near the Claim Canyon caldera, most of the tilting of the volcanic section predated the 11.6-Ma Rainier Mesa Tuff. In contrast, geologic relations in central and southern Yucca Mountain indicate that much of the stratal tilting there occurred after 11.6 Ma, probably synchronous with the main pulse of vertical-axis rotation that occurred between 11.6 and 11.45 Ma. Beneath the broad basins, such as Crater Flat, Jackass Flats, and the Amargosa Desert, faults are inferred from geophysical data. Geologic and geophysical data imply the presence of the large-offset, east-west-striking Highway 95 fault beneath surficial deposits along the northeast margin of the Amargosa Desert, directly south of Yucca Mountain and Crater Flat. The Highway 95 fault is interpreted to be downthrown to the north, with a component of dextral displacement. It juxtaposes a block of Paleozoic carbonate rock overlain by a minimal thickness of Tertiary rocks (to the south) against the Miocene volcanic section of Yucca Mountain (to the north). Alluvial geomorphic surfaces compose the bulk of Quaternary surficial units in the Yucca Mountain region. Deposits associated with these surfaces include alluvium, colluvium, and minor eolian and debris-flow sediments. Photogeologic and field studies locally have identified subtle fault scarps that offset these surfaces, and other evidence of Quaternary fault activity.