Filters: Tags: regression analysis (X) > Date Range: {"choice":"year"} (X)
16 results (40ms)|
Filters
Date Types (for Date Range)
Contacts
Categories Tag Types
|
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,
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...
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,
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...
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...
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...
This data release contains model inputs used to estimate surface water greenhouse gas fluxes from two large arid reservoirs, Lake Powell and Lake Mead. The release also contains empirical, spatially explicit water quality and greenhouse gas data from a single field survey conducted in Lake Powell in July of 2017. Finally, this release contains surface area estimates of shallow (< 15m) tributary regions of Lake Powell under different water level scenarios.
This child item model archive summary documents a surrogate regression model to estimate suspended-sediment concentration (SSC) at the Mohawk River above State Highway 30A at Fonda, New York. (U.S. Geological Survey station number 01349527). The methods used follow USGS guidance in relevant Office of Surface Water/Office of Water Quality Technical Memoranda and USGS Techniques and Methods, book 3, chap. 4 (Rasmussen and others, 2009). Thirty-nine concurrent measurements of SSC and turbidity, collected from June 12, 2015, through May 28, 2020, were used in the model calibration dataset. Samples were collected across 94 percent of the range in observed discharge and 24 percent of the range in observed turbidity during...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Mohawk River,
Montgomery County,
New York State,
Sediment,
Water Quality,
Assessment of temporal trends in vegetation greenness and related influences aids understanding of recent changes in terrestrial ecosystems and feedbacks from weather, climate, and environment. We analyzed 1-km normalized difference vegetation index (NDVI) time series data (1989–2016) derived from the Advanced Very High Resolution Radiometer (AVHRR) and developed growing-season time-integrated NDVI (GS-TIN) for estimating seasonal vegetation activity across stable natural land cover in the conterminous United States (CONUS). After removing areas from analysis that had experienced land-cover conversion or modification, we conducted a monotonic trend analysis on the GS-TIN time series and found that significant positive...
Categories: Publication;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Climate variability,
Regression analysis,
Remote Sensing,
Satellite observations,
Temperature,
The U.S. Geological Survey (USGS), as part of the Next Generation Water Observing System (NGWOS) has collected discrete stream samples for analysis of suspended-sediment concentrations at eight real-time streamflow and water-quality monitoring (turbidity and suspended sediment) stations located in Pennsylvania, New Jersey, and New York in the Delaware River Basin. Data were collected from 2019-2022 at these stations for the application of predicting suspended-sediment concentrations using real-time continuous turbidity, suspended sediment from an uncalibrated sensor, and streamflow data. Regression equations were developed by relating discrete-sample suspended sediment and continuous turbidity, suspended sediment...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Delaware River Basin,
New Jersey,
New York,
Pennsylvania,
Surface Water,
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...
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...
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),
This child item model archive summary documents a surrogate regression model to estimate suspended-sediment concentration (SSC) at the Mohawk River at Cohoes, New York. (U.S. Geological Survey station number 01357500). The methods used follow USGS guidance in relevant Office of Surface Water/Office of Water Quality Technical Memoranda and USGS Techniques and Methods, book 3, chap. C4 (Rasmussen and others, 2009). The model is composed of two ordinary least squares linear regression equations covering low and high values of turbidity. The low turbidity equation is based on forty-one concurrent measurements of SSC and turbidity collected from October 1, 2016, through August 28, 2020; the high turbidity equation is...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Mohawk River,
New York State,
Schenectady County,
Sediment,
Water Quality,
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...
This child item model archive summary documents a surrogate regression model to estimate suspended-sediment concentration (SSC) at the Schoharie Creek at Burtonsville, New York (U.S. Geological Survey station number 01351500). The methods used follow USGS guidance in relevant Office of Surface Water/Office of Water Quality Technical Memoranda and USGS Techniques and Methods, book 3, chap. 4 (Rasmussen and others, 2009). Sixty-one concurrent measurements of SSC and turbidity, collected from October 1, 2015, through May 2, 2020, were used in the model calibration dataset. Samples were collected across 75 percent of the range in observed discharge and 87 percent of the range in observed turbidity during the model calibration...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: New York State,
Schenectady County,
Schoharie Creek,
Sediment,
Water Quality,
|
|
