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Measures used to assess trends in the 10th, 50th, and 90th quantiles of annual peak streamflow from 1916-2015 at 2,683 U.S. Geological Survey stations and within 191 4-digit HUCs in the conterminous United States. Linear quantile regression was applied to the selected quantiles of log-transformed annual peak streamflow to represent trends for a range of flood frequencies from small, common floods to large, infrequent floods. Comparative trends in pairs of quantiles were characterized as coherent, convergent, or divergent by comparing the slopes of linear quantile regression equations.
Categories: Data;
Tags: Alabama,
Arizona,
Arkansas,
California,
Colorado, All tags...
Connecticut,
Conterminous United States,
Delaware,
District of Columbia,
Florida,
Georgia,
Hydrology,
Idaho,
Illinois,
Indiana,
Iowa,
Kansas,
Kentucky,
Louisiana,
Maine,
Maryland,
Massachusetts,
Michigan,
Minnesota,
Mississippi,
Missouri,
Montana,
Nebraska,
Nevada,
New Hampshire,
New Jersey,
New Mexico,
New York,
North Carolina,
North Dakota,
Ohio,
Oklahoma,
Oregon,
Pennsylvania,
Puerto Rico,
Rhode Island,
South Carolina,
South Dakota,
Tennessee,
Texas,
USGS Science Data Catalog (SDC),
United States,
Utah,
Vermont,
Virginia,
Washington,
Water Resources,
West Virginia,
Wisconsin,
Wyoming,
drought,
floods,
regression analysis,
streamflow,
surface water (non-marine), Fewer tags
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The Skykomish, Snoqualmie, and Middle Fork Snoqualmie River Basins have historically provided critical spawning, rearing, and core habitat for several salmonid species. These salmonid species include natural populations of Chinook salmon (O. tshawytscha), steelhead trout (O. mykiss), and bull trout (Salvelinus confluentus)—listed as “Threatened” under the Endangered Species Act—as well as coho salmon (O. kisutch)—listed as a ”Species of concern”—pink salmon (O. gorbuscha), chum salmon (O. keta), and native char (S. malma) (Solomon and Boles, 2002; Stohr and others, 2011; Svrjcek and others, 2013; Snohomish County Surface Water Management and the Sustainable Lands Strategy Executive Committee [SWM], 2017; U.S. Fish...
Tags: Hydrology,
King,
Remote Sensing,
Skykomish River,
Snohomish, All tags...
Snoqualmie,
USGS Science Data Catalog (SDC),
United States,
Washington,
Water Quality,
aerial photography,
data release,
field inventory and monitoring,
geolocation measurement,
geospatial analysis,
geospatial datasets,
groundwater and surface-water interaction,
hydrology,
image mosaics,
infrared imaging,
partnerships,
profiles,
remote sensing,
summer,
surface water quality,
thermal imaging,
water temperature,
watershed management, Fewer tags
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This dataset presents paired air and stream temperature measurements from 11 sites in the Olympic Experimental State Forest within the Quillayute River Basin, Washington, and metrics to understand groundwater influence and thermal sensitivity at these sites. The study area consisted of upper reaches of the Dickey, Calawah, Sol Duc, Bogachiel Rivers, above their respective confluences with the Quillayute River. Paired, or co-located, air and stream water temperature data were collected continuously (every 60 or 120 minutes) by the Washington State Department of Natural Resources (WADNR), Forest Resources Division, between 2017 and 2022 (Minkova and Foster, 2017). Stream water temperature data were screened by WADNR...
Categories: Data;
Tags: Bogachiel River,
Calawah River,
Dickey River,
Quillayute River,
Sol Duc River, All tags...
United States,
Washington,
data release,
field inventory and monitoring,
geolocation measurement,
geospatial analysis,
geospatial datasets,
groundwater and surface-water interaction,
groundwater and surface-water interaction,
hydrology,
hydrology,
partnerships,
profiles,
scientific interpretation,
study areas,
summer,
surface water quality,
water temperature,
water temperature,
watershed management, Fewer tags
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This child page contains ancillary information that is referenced in the report but not included in the core files that are used by all regions. The one .csv file contains the KendallTau and p.value for each station in the Pacific Northwest.
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The USGS streamflow gaging network that was active in water year 2020 was analyzed for its coverage, resolution, and representation of geospatial variables indicating public interests. The priority areas to maintain or add gages for each variable were determined by applying standardized criteria to cumulative distributions of the variable for incremental gaged areas (IGAs) and for 12-digit hydrologic unit codes (HUC12) in the United States. Priorities are identified for two spatial scales: the United States and 4-digit hydrologic unit codes.
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