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University of Arizona will conduct an ecosystem conservation assessment for the lower San Pedro (LSP) watershed. The assessment will provide a science-based strategic design for prioritizing where conservation efforts are most needed for high-value biodiversity conservation at the landscape-level and offer insights on conservation actions practical for implementation. The assessment will include an evaluation of high-value biodiversity, hydro-ecological processes, protected areas, landscape connectivity, and climate change adaptation. The study will suggest approaches for developing a new conservation framework for watershed conservation planning.
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2013, AZ-01, AZ-02, Arizona, Arizona, All tags...
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University of Arizona will conduct an ecosystem conservation assessment for the lower San Pedro (LSP) watershed. The assessment will provide a science-based strategic design for prioritizing where conservation efforts are most needed for high-value biodiversity conservation at the landscape-level and offer insights on conservation actions practical for implementation. The assessment will include an evaluation of high-value biodiversity, hydro-ecological processes, protected areas, landscape connectivity, and climate change adaptation. The study will suggest approaches for developing a new conservation framework for watershed conservation planning.
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Perennial streams in the Desert LCC support riparian trees such as cottonwood (Populus spp) and box elder (Acer negundo) that are critical components of habitat for riparian obligate birds and other wildlife species (Webb et al. 2007). Trees, snags, and fallen woody debris provide nesting and foraging sites for a variety of riparian animals (Bateman et al. 2008, Smith et al. 2012). Riparian trees require occasional floods to create space suitable for germination and are dependent on accessible groundwater for growth and survival (Lytle and Merritt 2004). Studies along the Middle Rio Grande in New Mexico have shown that rates of woody debris accumulation are also influenced by hydrology because floods physically...
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The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 66.7-, 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages operated by the WY–MT WSC. This data release presents peak-flow frequency analyses for selected streamgages on the Bighorn, Tongue, and Lower Yellowstone Rivers and tributaries and Home Creek, Montana, that were based on methods described by Sando and McCarthy (2018).
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This U.S. Geological Survey (USGS) data release contains results from the 2020 and 2021 geomorphic survey of North Fork Eagle Creek, New Mexico. Both geomorphic surveys were conducted by the USGS, in cooperation with the Village of Ruidoso, New Mexico, and are the last set of surveys in a planned series of five annual geomorphic surveys of the stream reach located between the North Fork Eagle Creek near Alto, New Mexico, streamflow-gaging station (USGS site 08387550) and the Eagle Creek below South Fork near Alto, New Mexico, streamflow-gaging station (USGS site 08387600). Specifically, there are two data release files, one each for the 2020 and 2021 surveys, that include the results from 14 cross-section surveys...
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Dr. Richard Janda of the USGS began a channel monitoring program in Redwood Creek in northern coastal California in 1973. The USGS continued this work through 2013, when the Research Geologist, Dr. Mary Madej retired. This effort produced 40 years of channel change data in rivers that were disrupted by severe erosion following timber harvest of old-growth redwood forests, a portion of the program's data (plus 1953 data) has been preserved in this data release. Original field surveys documented bank erosion, aggradation, and degradation at 60 cross-sectional transects at annual or biannual timesteps. Three river reaches also have long-term longitudinal channel bed surveys which document the distribution and development...
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The overall project goal is to understand and model the watershed impacts of forest restoration actions (thinning, prescribed fire) and climate change on the hydrologic function, particularly with respect to (1) changes in soil moisture and water yield during snowmelt, (2) inter-annual and directional changes in stream water quality, and (3) the resulting impacts on watershed management for wildlife species threatened by disturbance and climate change.Specifically, we will: use known relationships of forest structure on snow-water equivalent (SWE) values and processes of sublimation (ablation), infiltration and run-off in the Jemez Mountains of northern New Mexico to model forest-stand restoration prescriptions,...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Cultural Resources, Decision Support, Federal resource managers, Informing Conservation Delivery, Jemez Mountains, All tags...
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The U.S. Army Corps of Engineers (USACE) and the Nature Conservancy developed the Sustainable Rivers Program (SRP) as a collaborative environmental flows program to identify, refine, and implement environmental strategies at select USACE dams. The SRP was introduced to the Willamette Basin, Oregon, in 2007 through a series of environmental flow workshops, which led to stakeholder generated environmental flow recommendations in the North Santiam, South Santiam, Santiam (Bach and others, 2013), McKenzie, South Fork McKenzie (Risley and others, 2010), and Middle Fork Willamette Rivers (Gregory and others, 2007, https://www.hec.usace.army.mil/sustainablerivers/). This data release is a compilation of the stakeholder-defined...
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The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 66.7-, 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected USGS streamgages. This data release presents peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021 that were based on methods described by Sando and McCarthy (2018).
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The U.S. Geological Survey (USGS), prepared geographic information systems (GIS) layers for use in the West Virginia StreamStats application. The Digital Elevation Model and associated data were hydrologically conditioned, which is the process of burning in single line streams at the 1:24,000 scale into a digital elevation model to produce flow direction and flow accumulation grids. This data includes geotif images for a 10 meter digital elevation model, a flow direction, and a flow accumulation raster/grid image for the WV Streamstats area. The 34 HUCs represented by this dataset are 02070001, 02070002, 02070003, 02070004, 02070005, 02070006, 02070007, 05020001, 05020002,05020003, 05020004, 05020005, 05020006,...
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The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 66.7-, 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages operated by the WY–MT WSC. This data release presents peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, that were based on methods described by Sando and McCarthy (2018).
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PROBLEM Alley Creek, a tributary to Little Neck Bay (Queens County, New York; figure 1) has been designated as impaired by the New York State Department of Environmental Conservation (NYS DEC) for primary and secondary contact and included on the 303(d) Impaired Waterways for pathogens related to combined sewer overflow contributions. The New York City Department of Environmental Protection (NYC DEP) and New York City Parks & Recreation have developed a long-term control plan (2014) and a watershed management plan (2015), respectively, to improve water quality and ecosystem health. Point and non-point sources of pathogens are implicated, including stormwater and combined-sewer outfalls, groundwater seepage, and...
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The U.S. Geological Survey (USGS), in cooperation with the State of Hawaiʻi Department of Transportation, estimated flood magnitudes for the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEP) for unregulated streamgages in Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi, State of Hawaiʻi, using data through water year 2020. Regression equations which can be used to estimate flood magnitude and associated frequency at ungaged streams were developed. The methods and results of the study are published in a separate report (https://doi.org/10.3133/sir20235014). This data release contains the tabular data that are listed as appendices (appendices A, B, and D) in the larger work: Magnitude...
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This data release contains monthly 270-meter gridded Basin Characterization Model (BCMv8) climate inputs and hydrologic outputs for Mattole (MAT). Gridded climate inputs include: precipitation (ppt), minimum temperature (tmn), maximum temperature (tmx), and potential evapotranspiration (pet). Gridded hydrologic variables include: actual evapotranspiration (aet), climatic water deficit (cwd), snowpack (pck), recharge (rch), runoff (run), and soil storage (str). The units for temperature variables are degrees Celsius, and all other variables are in millimeters. Monthly historical variables from water years 1896 to 2019 are summarized into water year files and long-term average summaries for water years 1981-2010....
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The U.S. Geological Survey Oregon Water Science Center, in cooperation with The Klamath Tribes initiated a project to understand changes in surface-water prevalence of Klamath Marsh, Oregon and changes in groundwater levels within and surrounding the marsh. The initial phase of the study focused on developing datasets needed for future interpretive phases of the investigation. This data release documents the creation of a geospatial dataset of January through June maximum surface-water extent (MSWE) based on a model developed by Jones (2015; 2019) to detect surface-water inundation within vegetated areas from satellite imagery. The Dynamic Surface Water Extent (DSWE) model uses Landsat at-surface reflectance imagery...


map background search result map search result map Watershed Disturbance and Restoration Impacts on Hydrologic Function Relative to Increased Snowmelt Water Yields, Stream Water Quality, and Species Conservation in the Jemez Mountains, New Mexico: Model Calibration and Validation on a Landscape Scale Modeling Woody Plant Regeneration and Debris Accumulation under Future Streamflow and Wildfire Scenarios in the DLCC An Ecosystem Conservation Assessment for the lower San Pedro Watershed in Arizona River Channel Survey Data, Redwood Creek, California, 1953-2013 Final Report FWS F13AS00164 FY13: An Ecosystem Conservation Assessment for the lower San Pedro Watershed in Arizona Assessment of fecal contamination sources to Alley Creek, Queens County, New York Results of peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, part 2 Digital Elevation, Flow Direction, and Flow Accumulation GIS data for West Virginia StreamStats Mattole Monthly BCMv8 Results of peak-flow frequency analyses for selected streamgages on the Bighorn, Tongue, and Lower Yellowstone Rivers and tributaries and Home Creek, Montana, based on data through water year 2021 Data supporting the 2020 and 2021 geomorphic survey of North Fork Eagle Creek, New Mexico Selected appendices from flood-frequency report—Magnitude and Frequency of Floods on Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi, State of Hawaiʻi, Based on Data through Water Year 2020 Comparison of environmental flow recommendations for the Willamette Basin Sustainable Rivers Program, water years 2008-2022 Results of peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021 Klamath Marsh January Through June Maximum Surface Water Extent, 1985-2021 Assessment of fecal contamination sources to Alley Creek, Queens County, New York Data supporting the 2020 and 2021 geomorphic survey of North Fork Eagle Creek, New Mexico Watershed Disturbance and Restoration Impacts on Hydrologic Function Relative to Increased Snowmelt Water Yields, Stream Water Quality, and Species Conservation in the Jemez Mountains, New Mexico: Model Calibration and Validation on a Landscape Scale Klamath Marsh January Through June Maximum Surface Water Extent, 1985-2021 Mattole Monthly BCMv8 An Ecosystem Conservation Assessment for the lower San Pedro Watershed in Arizona Final Report FWS F13AS00164 FY13: An Ecosystem Conservation Assessment for the lower San Pedro Watershed in Arizona Comparison of environmental flow recommendations for the Willamette Basin Sustainable Rivers Program, water years 2008-2022 Results of peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021 Modeling Woody Plant Regeneration and Debris Accumulation under Future Streamflow and Wildfire Scenarios in the DLCC Results of peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, part 2 Results of peak-flow frequency analyses for selected streamgages on the Bighorn, Tongue, and Lower Yellowstone Rivers and tributaries and Home Creek, Montana, based on data through water year 2021 Selected appendices from flood-frequency report—Magnitude and Frequency of Floods on Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi, State of Hawaiʻi, Based on Data through Water Year 2020 Digital Elevation, Flow Direction, and Flow Accumulation GIS data for West Virginia StreamStats