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Filter Total Items: 185

The HayWired Scenario: An Urban Earthquake in a Connected World - A Geonarrative

What might it be like the next time the Hayward Fault has a large earthquake? A geonarrative and related imagery examines a hypothetical earthquake, the magnitude 7.0 HayWired earthquake scenario.

Mineral Deposits of the Midcontinent Rift System

USGS interactive Story Map describing the Mineral Deposits of the Midcontinent Rift System.

Interactive Map: Estimating Drought Streamflow Probabilities for Virginia Streams

Maximum likelihood logistic regression is used to estimate drought probabilities for selected Virginia rivers and streams 5 to 11 months in advance. Hydrologic drought streamflow probabilities for summer months are provided as functions of streamflows during the previous winter months. This application allows the display and query of these drought streamflow probabilities for Virginia streams.

Hayward Fault Field Guide

An interactive geonarrative (Esri Story Map) showing 62 field trip stops for exploring the Hayward Fault in the East San Francisco Bay Region of California.

Interactive Map: Virginia Water-Monitoring Sites

The Virginia Water-Monitoring-Sites Mapper is an interactive map of Virginia water monitoring-site locations from the USGS National Water Information System. It provides access to surface water, groundwater, and water quality monitoring data for active sites.

Interactive Map: West Virginia Water-Monitoring Sites

The West Virginia Water-Monitoring-Sites Mapper is an interactive map of West Virginia water monitoring-site locations from the USGS National Water Information System. It provides access to surface water, groundwater, and water quality monitoring data for active sites.

Interactive Map: GIS-based landscape analysis to identify sources of endocrine disrupting chemicals

Scientists refined the existing national-scale "De facto Reuse Incidence in our Nation's Consumable Supply" (DRINCS) model for the Shenandoah River watershed. The model, complemented by field measurements, provides a screening tool to understand human and wildlife exposure to toxicants and pathogens associated with the incidental reuse of treated wastewater in the watershed.

GLRI Urban Stormwater Monitoring: Assessing stormwater reduction using green infrastructure (story map)

The GLRI Urban Stormwater Monitoring effort brings together the expertise of the USGS with local and national partners to assess the ability of green infrastructure to reduce stormwater runoff in Great Lakes urban areas. This story map discusses the problem with stormwater, the potential benefits and challenges of green infrastructure, and how this effort is evaluating its effectiveness.

Fog Research: Network and Sites (FRNS)

Network with us to study fog. Add your research site. Add your fog water collecting site. Add information about your research or studies. Help create a vibrant place to learn about fog, stratus, low clouds, and the ecosystems alive with fog.

Global Mountain Explorer 2.0

The Global Mountain Explorer supports the visual comparison of three well-known global mountain raster datasets. The first two were derived from 1km DEMs with the first being produced by Kapos et al. (2000), and the second by Körner et al. (2011). The third global mountain dataset, produced by Karagulle et al. (2017), was derived from a finer resolution 250m DEM.

Re-establishing Waterbird Breeding Colonies in San Francisco Bay

This U.S. Geological Survey (USGS), Western Ecological Research Center (WERC) story map details how partners are using ​science and management to maintain and establish new ​bird ​nesting colonies in support of the South Bay Salt Pond Restoration Project. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Measuring the July 2016 flood in northern Wisconsin and the Bad River Reservation

On July 11-12, 2016, severe thunderstorms hit northern Wisconsin, resulting in widespread flooding. Immediately following the flood, the USGS and the Bad River Band of the Lake Superior Tribe of Chippewa Indians began collecting evidence of peak flood levels. USGS scientists used these high-water marks, along with streamflow and lake level, to reconstruct the extent and depth of flood inundation.

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