Filters: Tags: landslide hazard (X)
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Wildfire can significantly alter the hydrologic response of a watershed to the extent that even modest rainstorms can produce dangerous flash floods and debris flows. The USGS conducts post-fire debris-flow hazard assessments for select fires in the Western U.S. We use geospatial data related to basin morphometry, burn severity, soil properties, and rainfall characteristics to estimate the probability and volume of debris flows that may occur in response to a design storm.
This dataset represents 25 parallel longitudinal profiles that were extracted from terrestrial lidar point clouds taken during six survey periods. The six lidar surveys were conducted between 7 October 2010 and 8 October 2013. Over that time a colluvial hollow eroded into a fluvial channel. The longitudinal profiles show the topography of the colluvial hollow for each survey period. The width of the original colluvial hollow was approximately 1.25 m, and a longitudinal profile was extracted every 5 cm for the entire length of the hollow, resulting in 25 parallel longitudinal profiles. These data can be used to observe the transition of the colluvial hollow to a fluvial channel and furthermore they show the development...
Types: Citation;
Tags: Fourmile Canyon, Colorado,
GHSC,
Geologic Hazards Science Center,
LHP,
LIDAR,
Landslides are damaging and deadly, and they occur in every U.S. state. However, our current ability to understand landslide hazards at the national scale is limited, in part because spatial data on landslide occurrence across the U.S. varies greatly in quality, accessibility, and extent. Landslide inventories are typically collected and maintained by different agencies and institutions, usually within specific jurisdictional boundaries, and often with varied objectives and information attributes or even in disparate formats. The purpose of this data release is to provide an openly accessible, centralized map of existing information on landslide occurrence across the entire U.S. The data release includes digital...
This data release includes time-series data from a monitoring site located in a small drainage basin in the Arroyo Seco watershed in Los Angeles County, CA, USA (N3788964 E389956, UTM Zone 11, NAD83). The site was established after the 2009 Station Fire and recorded a series debris flows in the first winter after the fire. The data include three types of time-series: (1) 1-minute time series of rainfall, soil water content, channel bed pore pressure and temperature, and flow stage recorded by radar and laser distance meters (ArroyoSecoContinuous.csv); (2) 10-Hz time series of flow stage recorded by the laser distance meter during rain storms (ArroyoSecoStormLaser.csv), and (3) 2-second time series of rainfall and...
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arroyo Seco, California,
GHSC,
Geologic Hazards Science Center,
Landslides Hazards Program,
Los Angeles County, California,
This data release includes time-series data from a monitoring site located in a small (0.12 km2) drainage basin in the Las Lomas watershed in Los Angeles County, CA, USA. The site was established after the 2016 Fish Fire and recorded a series debris flows in the first winter after the fire. The station is located along the channel at the outlet of the study area (34 9’18.50”N, 117 56’41.33”W, WGS84). The data were collected between November 15, 2016 and February 23, 2017. The data include two types of time series: (1) continuous 1-minute time series of rainfall and flow stage recorded by a laser distance meter suspended over the channel (LasLomasContinuous.csv), and (2) 50-Hz time series of flow stage and flow-induced...
Categories: Data;
Tags: Ecology,
GHSC,
Geologic Hazards Science Center,
Landslides Hazards Program,
Las Lomas watershed,
Field data used to support numerical simulations of variably-saturated flow focused on variability in soil-water retention properties for the U.S. Geological Survey Bay Area Landslide Type (BALT) Site #1 in the East Bay region of California, USA
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: BALT-1,
California,
East Bay region,
GHSC,
Geologic Hazards Science Center,
Following wildfire, mountainous areas of the western United States are susceptible to enhanced runoff and erosion and an increased vulnerability to debris flow during intense rainfall. Convective storms that can generate debris flows in recently burned areas may occur during or immediately after the wildfire, leaving insufficient time for development and implementation of risk mitigation strategies. We present a method for estimating post-fire debris-flow hazards prior to wildfire using historical data to define the range of potential fire severity for a given location based on the statistical distribution of severity metrics obtained from remote sensing. Estimates of debris-flow likelihood, magnitude and triggering...
This Data Release includes information to support the characterization of surface/near-surface infiltration rates of selected landslide source area materials following Hurricane Maria across Puerto Rico, USA. The dataset includes comma-delimited measurements of field-saturated hydraulic conductivity (Kfs) collected over two field campaigns (Fall 2018 and Spring 2019) as well as laboratory-derived measurements of soil/saprolite texture. The Kfs experiments were conducted within (or in the vicinity of) landslide source areas across the three primary geologic terranes on the island (Bawiec, 1998), including intrusive, volcaniclastic, and submarine basalt/chert lithologies. Depending on site conditions and the hydrologic...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: GHSC,
Geologic Hazards Science Center,
Hydrology,
Infiltration,
LHP,
This dataset represents thermoluminescence (TL) data that was obtained after a series of experiments to investigate how TL techniques can indicate the depth of soil heating. This project was attempted to ultimately predict changes in erosion properties in burned areas subject to debris flow hazards. The soil samples were obtained from an area burned by the Silverado wildfire (September 12 to 20, 2014). The dataset includes 3 soil samples and 1 control sample. The three burned soil samples were obtained throughout the burned watershed, and the control sample was taken in an unburned area. These will be referred to as sample 3, sample 7, sample 10, and control 1. All soil was obtained on April 23, 2015. The sample...
Types: Citation;
Tags: GHSC,
Geologic Hazards Science Center,
LHP,
Landslide Hazards Program,
Risø TL/OSL Reader,
On January 15, 1997, a landslide of approximately 100,000-m3 from a coastal bluff swept five cars of a freight train into Puget Sound at Woodway, Washington, USA, 25 km north of downtown Seattle. The landslide resulted from failure of a sequence of dense sands and hard silts of glacial and non-glacial origin, including hard, jointed clayey silt that rarely fails in natural slopes. Joints controlled ground-water seepage through the silt and break-up of the landslide mass. During September of 1997, the U.S. Geological Survey began measuring rainfall, ground-water pressures, and ground movement at the bluff where the landslide occurred. The original sensor array comprised a tipping-bucket rain gauge, four extensometers...
This data release contains two point clouds derived from structure-from-motion photogrammetry. The first survey was conducted on 10 September 2015 and the second survey was conducted on 1 June 2016. Each survey was designed to capture a 35-meter channel reach using digital photos (1187 photos were taken in the first survey and 1085 photos were taken in the second survey). Twenty-five bolts were drilled into the bedrock channel to serve as ground control points. We used a local coordinate system to create a reference frame, but the location of all of the ground control points are attached in the file called: GCPs_exported.txt. Agisoft photoscan was used to construct point clouds from the digital photos, and then...
Data used for analysis described in the publication titled "Shallow-Landslide Hazard Map of Seattle, Washington" (available at https://pubs.usgs.gov/of/2006/1139/). The data consisted of a digital slope map derived from recent Light Detection and Ranging (LIDAR) imagery of Seattle, recent digital geologic mapping, and shear-strength test data for the geologic units in the surrounding area. The combination of these data layers within a Geographic Information System (GIS) platform allowed the preparation of a shallow landslide hazard map for the entire city of Seattle.
This data release includes time-series data from two monitoring stations in a small drainage basin burned in the 2014 Silverado Fire, Orange County, California. One station (upper station) is located in the headwaters of the study area (33 45’39.10”N, 117 35’17.48”W, WGS84). The other station (lower station) is located at the outlet of the study area (33 45’04.61”N, 117 35’12.54”W). The data were collected between November 15, 2014 and January 14, 2016. The data include continuous 1-minute time series of rainfall and soil water content recorded at the both stations and intermittent (during rain storms) 50-Hz time series of flow-induced ground vibrations recorded by geophones at the lower station. The soil water...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: GHSC,
Geologic Hazards Science Center,
Landslides Hazards Program,
Orange County, California,
USGS,
Landslides are damaging and deadly, and they occur in every U.S. state. However, our current ability to understand landslide hazards at the national scale is limited, in part because spatial data on landslide occurrence across the U.S. varies greatly in quality, accessibility, and extent. Landslide inventories are typically collected and maintained by different agencies and institutions, usually within specific jurisdictional boundaries, and often with varied objectives and information attributes or even in disparate formats. The purpose of this data release is to provide an openly accessible, centralized map of existing information on landslide occurrence across the entire U.S. The data release includes digital...
This data release contains point clouds obtained from three terrestrial laser scanner (TLS) surveys of a hillslope burned by the 2016 Fish Fire in the San Gabriel Mountains, CA, USA. The TLS surveys were completed with a Leica ScanStation C10. All point data are in local coordinates and the units are in meters. The first survey was made on 19 November 2016 prior to the first post-wildfire rainstorm. The second survey was performed on 5 January 2017. Two runoff-generating rainstorms occurred between the first and second surveys. The two rainstorms had peak fifteen-minute average rainfall intensities of 27 mm/h and 10 mm/h, respectively. The third survey was performed on 22 February 2017, following five additional...
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