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Data for Regression Models to Estimate Water Use in Providence, Rhode Island, 2014-2021 This data release contains input data and programs (scripts) used to estimate monthly water demand for retail customers of Providence Water, located in Providence, Rhode Island. Explanatory data and model outputs are from July 2014 through June 2021. Models of per capita (for single-family residential customers) or per connection (for multi-family residential, commercial, and industrial customers) water use were developed using multiple linear regression. The dependent variables, provided by Providence Water, are the monthly number of connections and gallons of water delivered to single- and multi-family residential, commercial, and industrial connections. Potential independent variables (from online sources) are... Categories: Data; Tags: Providence, Rhode Island, USGS Science Data Catalog (SDC), Water Resources, public supply water use, All tags... regression analysis, residential water use, water supply and demand, Fewer tags Peak Streamflow Data, Climate Data, and Results from Investigating Hydroclimatic Trends and Climate Change Effects on Peak Streamflow in the Central United States, 1921–2020 Peak-flow frequency analysis is crucial in various water-resources management applications, including floodplain management and critical structure design. Federal guidelines for peak-flow frequency analyses, provided in Bulletin 17C, assume that the statistical properties of the hydrologic processes driving variability in peak flows do not change over time and so the frequency distribution of annual peak flows is stationary. Better understanding of long-term climatic persistence and further consideration of potential climate and land-use changes have caused the assumption of stationarity to be reexamined. This data release contains input data and results of a study investigating hydroclimatic trends in peak streamflow... Tags: Climatology, Hydrology, Illinois, Iowa, Michigan, All tags... Minnesota, Missouri, Montana, North Dakota, South Dakota, USGS Science Data Catalog (SDC), United States, Water Resources, Wisconsin, climate change, climatology, climatologyMeteorologyAtmosphere, environment, floods, geoscientificInformation, hydrology, inlandWaters, regression analysis, river systems, stream discharge, streamflow, surface water (non-marine), Fewer tags Peak Streamflow Data, Climate Data, and Results from Investigating Hydroclimatic Trends and Climate Change Effects on Peak Streamflow in the Central United States, 1921–2020 (Climate Data) Peak-flow frequency analysis is crucial in various water-resources management applications, including floodplain management and critical structure design. Federal guidelines for peak-flow frequency analyses, provided in Bulletin 17C, assume that the statistical properties of the hydrologic processes driving variability in peak flows do not change over time and so the frequency distribution of annual peak flows is stationary. Better understanding of long-term climatic persistence and further consideration of potential climate and land-use changes have caused the assumption of stationarity to be reexamined. This data release contains input and results of a study investigating hydroclimatic trends in peak streamflow... Tags: Illinois, Iowa, Michigan, Minnesota, Missouri, All tags... Montana, North Dakota, South Dakota, United States, Wisconsin, climate change, climatology, climatologyMeteorologyAtmosphere, floods, geoscientificInformation, hydrology, inlandWaters, regression analysis, river systems, stream discharge, streamflow, surface water (non-marine), Fewer tags Peak Streamflow Data, Climate Data, and Results from Investigating Hydroclimatic Trends and Climate Change Effects on Peak Streamflow in the Central United States, 1921–2020 (Peak Streamflow Data) Peak-flow frequency analysis is crucial in various water-resources management applications, including floodplain management and critical structure design. Federal guidelines for peak-flow frequency analyses, provided in Bulletin 17C, assume that the statistical properties of the hydrologic processes driving variability in peak flows do not change over time and so the frequency distribution of annual peak flows is stationary. Better understanding of long-term climatic persistence and further consideration of potential climate and land-use changes have caused the assumption of stationarity to be reexamined. This data release contains input data and results of a study investigating hydroclimatic trends in peak streamflow... Tags: Illinois, Iowa, Michigan, Minnesota, Missouri, All tags... Montana, North Dakota, South Dakota, United States, Wisconsin, climate change, climatology, climatologyMeteorologyAtmosphere, floods, geoscientificInformation, hydrology, inlandWaters, regression analysis, river systems, stream discharge, streamflow, surface water (non-marine), Fewer tags Data for Estimating Peak-Flow Quantiles for Selected Annual Exceedance Probabilities in Illinois The U.S. Geological Survey Central Midwest Water Science Center completed a report (Over and others, 2023) documenting the methods, results, and applications of an updated flood-frequency study for the State of Illinois. This data release contains data related to the analysis completed to determine peak-flow quantiles (flood frequency estimates) at streamgages in Illinois for 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs), as well as data used to develop regional regression equations that relate the peak-flow quantiles and the basin characteristics of selected streamgages in Illinois, Indiana, and Wisconsin, based on data through water year 2017 (a water year is the period... Categories: Data; Tags: Hydrology, Illinois, USGS Science Data Catalog (SDC), Water Resources, biota, All tags... floods, hydrology, regression analysis, stream discharge, streamflow, Fewer tags USGS-derived 1-percent Annual Exceedance Probability Flood-Flow Estimates at Flood Insurance Study Locations Across Pennsylvania One-percent annual exceedance probability (AEP) flood-flow estimates were computed at flood insurance study (FIS) locations across Pennsylvania using methods identified in Scientific Investigation Report (SIR) 2019-5094. Following guidance outlined in SIR 2016-5149, valid statistical reaches (VSRs) were identified for streamgages, which were used to assist with the determination of the applicable method used to compute a USGS-derived 1-percent AEP flood-flow estimate at an FIS location. Methods included: weighting, weighting and transferring, and regression equations. The USGS-derived 1-percent AEP flood-flow estimates were then compared to 1-percent AEP flood-flow estimates published in FIS's and furnished by the... Tags: Annual Exceedance Probability, Annual Peak Flow, Basin Characteristics, Bulletin 17B, Bulletin 17C, All tags... Expected Moments Algorithm, Federal Emergency Management Agency, Flood Insurance Study, Flood-Flow Computation, Flood-Flow Estimate, Flood-Flow Frequency, Flood-Flow Regions, Hydrology, LP3, Log-Pearson Type III, Pennsylvania, Pennsylvania StreamStats, Period of Record, Regional Flow Analysis, Regression analysis, Stream Gage, USGS Science Data Catalog (SDC), Ungaged Stream Flood Estimates, Updated Regression Equations, Water Resources, Weighted Flood-Flow Estimates, Fewer tags Geographic Data for the Estimation of Peak Flow Statistics for Illinois The U.S. Geological Survey Central Midwest Water Science Center completed a report (Over and others, 2023) documenting methods, results, and applications of an updated flood-frequency study for the State of Illinois. The study developed regional regression equations that relate the peak-flow quantiles and the basin characteristics of selected streamgages in Illinois, Indiana, and Wisconsin, based on data through water year 2017 (a water year is the period from October 1 to September 30 and is designated by the year in which it ends; for example, water year 2017 was from October 1, 2016, to September 30, 2017). The data provided through this data release are those digital datasets of basin characteristics that have... Tags: Basin Characteristics, Delineated Basins, Drainage area, Floods, Hydrology, All tags... Hydrology, Illinois, Indiana, Regression Analysis, Slope, Soil slope, Stream Discharge, Streamflow, Streamstats, Texture permeability index, USGS Science Data Catalog (SDC), Urbanization, Water Resources, Wisconsin, Fewer tags Surrogate regression model data for estimating nitrate concentrations at six springs in Gooding County, south-central Idaho Endangered Banbury Springs limpet and threatened Bliss Rapids snail populations in springs along the Snake River in southern Gooding County, south-central Idaho, are declining. To protect these species, the U.S. Fish and Wildlife Service (USFWS) needs to understand what affects the species' habitat such as aquatic vegetation, associated with elevated nitrate concentrations in the springs. In cooperation with the USFWS, the U.S. Geological Survey developed surrogate regression models to estimate nitrate concentration using specific conductance, day of the year, and streamflow as potential explanatory variables. These surrogate models provide a cheaper alternative than measuring nitrate concentrations directly, through... Tags: Aquatic Biology, Box Canyon Spring, Briggs Spring, Gooding, Hatchery Springs, All tags... Hydrology, Idaho, Mid-Snake, Niagara Springs, Snake River, Snake River Plain basaltic-rock aquifers, USGS Science Data Catalog (SDC), Water Quality, Water Resources, environmental surrogates, field monitoring stations, groundwater, hydrology, nutrient content, regression analysis, surface water, water quality, Fewer tags Model archive summaries for turbidity derived suspended-sediment concentration at USGS stations 01349527 Mohawk River above State Highway 30A at Fonda, 01351500 Schoharie Creek at Burtonsville, and 01357500 Mohawk River at Cohoes, New York, 2015-20 These model archive summaries document surrogate regression models developed to estimate suspended-sediment concentration (SSC) at three USGS streamgages in New York: Mohawk River above State Highway 30A at Fonda, USGS site number 01349527; Schoharie Creek at Burtonsville, USGS site number 01351500; and Mohawk River at Cohoes, USGS site number 01357500. Ordinary least squares regression equations were developed between suspended-sediment concentration and turbidity using the U.S. Geological Survey Surrogate Analysis and Index Developer (SAID) Tool (Domanski and others, 2015) and methods described in Rasmussen and others (2009). Model summaries were developed following guidance in USGS Office of Surface Water... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Mohawk River, New York State, Schoharie Creek, Sediment, USGS Science Data Catalog (SDC), All tags... Water Quality, Water-Quailty Modeling, datasets, inlandWaters, mathematical modeling, real-time monitoring and reporting, regression analysis, sediment transport, suspended material (water), time series datasets, water quality, water sampling, Fewer tags Model Archive Summaries for Fine Sediment Particles Surrogate Regression Models, Lake Tahoe, California and Nevada This USGS data release presents Model Archive Summaries (MAS) and tabular calibration data used to develop surrogate regressions to estimate fine sediment particles flowing into Lake Tahoe. Fine sediment particles in the size range of 0.5 to 16.0 micrometers (μm) represent the primary size range of suspended sediment responsible for clarity reduction in Lake Tahoe. Models will be used to create estimates of tributary fine sediment particles flowing into Lake Tahoe and to better understand the linkage of annual sediment loads and lake clarity. Surrogate regression models were developed for site-specific monitoring locations within the Lake Tahoe Interagency Monitoring Program (LTIMP) and archived individually as... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: California, Lake Tahoe, Nevada, USGS Science Data Catalog (SDC), Upper Truckee River, All tags... Water Quality, environment, geoscientificInformation, inlandWaters, real-time monitoring and reporting, regression analysis, scientific interpretation, sedimentation, stream-gage measurement, surface water quality, suspended material (water), water sampling, Fewer tags