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This data release presents peak-flow frequency analyses by the U.S. Geological Survey based on methods described by Eash and others (2013) for streamgages 06600100, Floyd River at Alton, Iowa; 06600300, West Branch Floyd River near Struble, Iowa; 06600500, Floyd River near James, Iowa; 06605000, Ocheyedan River near Spencer, Iowa; 06605850, Little Sioux River at Linn Grove, Iowa; 06607200, Maple River at Mapleton, Iowa; and 06607500, Little Sioux River near Turin, Iowa. These methods are used to provide estimates of peak-flow quantiles for 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs). Annual peak-flow data used in the peak-flow frequency analyses for these streamgages were...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Floyd River,
Hydrology,
Iowa,
Little Sioux River,
USGS Science Data Catalog (SDC),
This data release presents a peak-flow frequency analysis (Eash and others, 2013) for U.S. Geological Survey streamgage 06810000 Nishnabotna River above Hamburg, Iowa. These methods are used to provide estimates of peak-flow quantiles for 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs). Annual peak-flow data used in the peak-flow frequency analysis for this streamgage was retrieved from the U.S. Geological Survey National Water Information System database (U.S. Geological Survey, 2021) and used with USGS flood-frequency analysis software PeakFQ (Veilleux and others, 2014). This data release contains annual peak-flow data (nishnabotna_2020_WATSTORE.txt), PeakFQ specifications...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Hamburg,
Iowa,
Nishnabotna River,
USGS Science Data Catalog (SDC),
Water Resources,
Contents include U.S. Geological Survey (USGS) flood-frequency analysis software PeakFQ input files (.psf specification file and peak-flow data file) and output files (.prt file of flood-frequency results) for selected streamgaging stations near Jefferson County, Missouri. Ten stations are included with flood-frequency results updated from Southard and Veilleux (2014) and peak-flow record through the 2019 water year. Files are presented by the USGS 8-digit station identification number and the 10 stations include: 07010350, 07013000, 07015720, 07016500, 07017200, 07018100, 07019000, 07021000, 07035800, 07036100.
This data release presents a peak-flow frequency analysis for U.S. Geological Survey streamgage 05481510 Bluff Creek at Pilot Mound, Iowa. The annual peak-flow record at this streamgage consists of both a discrete crest-stage period and a continuous partial-record period. The streamgage, which is in the Des Moines River Basin, is located on 130th Street in Pilot Mound, Iowa. Drainage area at the streamgage is 23.5 square miles. Annual peak-flow data are available for the period 1966-2021. The peak of record, 1,290 cubic feet per second, occurred on June 16, 1990. The annual peak-flow data used in the frequency analysis were downloaded from the U.S. Geological Survey National Water Information System database (U.S....
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bluff Creek,
Hydrology,
Iowa,
Pilot Mound,
USGS Science Data Catalog (SDC),
This data release presents a peak-flow frequency analysis for USGS 05494300 Fox River at Bloomfield, Iowa, based on methods described by Eash and others (2013) (https://pubs.usgs.gov/sir/2013/5086/). The methods are used to provide estimates of peak-flow quantiles for 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs). The results are presented in two text files (peak flow specification file: 05494300_ffa_2018.psf; WATSTORE file: 05494300_ffa_2018_WATSTORE.txt), and an excel spreadsheet (05494300_ffa_2018.xlsx).
This data release presents a peak-flow frequency analysis by the U.S. Geological Survey that was based on methods described by Eash and others (2013) for streamgages 05458300 Cedar River at Waverly, Iowa; 05458500 Cedar River at Janesville, Iowa; and 06606600 Little Sioux River at Correctionville, Iowa. These methods are used to provide estimates of peak-flow quantiles for 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs). Annual peak-flow data used in the peak-flow frequency analysis for these streamgages were retrieved from the U.S. Geological Survey National Water Information System database (U.S. Geological Survey, 2020) and used with USGS flood-frequency analysis software...
This data release presents a peak-flow frequency analysis (Eash and others, 2013) for U.S. Geological Survey streamgage 05465500 Iowa River at Wapello, Iowa. These methods are used to provide estimates of peak-flow quantiles corresponding to the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs). Annual peak-flow data used in the peak-flow frequency analysis for this streamgage was retrieved from the U.S. Geological Survey National Water Information System database (U.S. Geological Survey, 2022) and used with USGS flood-frequency analysis software PeakFQ (Veilleux and others, 2014). This data release contains annual peak-flow data (05465500_ffa_2022_WATSTORE.txt), PeakFQ specifications...
Categories: Data;
Tags: Iowa,
Iowa River,
USGS Science Data Catalog (SDC),
Wapello,
annual exceedance probability,
This data release presents peak-flow frequency analyses by the U.S. Geological Survey that were based on methods described by Eash and others (2013) for streamgages 05485605 Fourmile Creek near Ankeny, Iowa, and 05485640 Fourmile Creek at Des Moines, Iowa. These methods are used to provide estimates of peak-flow quantiles for 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs). Annual peak-flow data used in the peak-flow frequency analysis for these streamgages were retrieved from the U.S. Geological Survey National Water Information System database (U.S. Geological Survey, 2020) and used with USGS flood-frequency analysis software PeakFQ (Veilleux and others, 2014). This data...
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