Filters: Tags: Water-Quailty Modeling (X)
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This document provides a summary of surface water-quality, streamflow, and groundwater data collected by the U.S. Geological Survey (USGS) within the Central Pine Barrens (CPB) Region of Suffolk County, New York. The data were collected in cooperation with the Central Pine Barrens Commission and the Town of Brookhaven under a five-year comprehensive water resources monitoring program. The surface water-quality data within the CPB for the 2018 water year (October 1, 2017 to September 30, 2018) includes data from the Carmans River and the Peconic River. The streams were sampled several times throughout the year at seven pre-determined locations. The Carmans River was sampled at five locations: 1) CARMANS RIVER AT...
Categories: Data,
Data Release - Revised;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Carmans River,
Central Pine Barrens,
Long Island,
New York,
Peconic River,
This child item dataset contains the source of chlorophyll data as well as the approval status of all data aquired from the USGS National Water Information System (NWIS, https://waterdata.usgs.gov/nwis) at the time of data acquisition (10/27/2021). This dataset is part of a larger data release that contains model inputs, observed chlorophyll concentrations, modeled estimates of chlorophyll, and contriubtions of individual variables to modeled predictions.
Problem - There is a stated need to provide information on loading of persistent toxic pollutants to Lake Ontario from New York tributaries. The information is specifically required for the Lake Ontario Mass Balance Model, which is an integral part of the long-term Great Lakes research. The project described here is designed to demonstrate a cost-effective approach for estimation of loads of polychlorinated-biphenyls (PCBs) through use of a relatively small number of large-volume whole-water samples for PCB analysis. The Black River basin was selected to demonstrate the feasibility of the approach because it is the largest New York contributor of PCBs to Lake Ontario. Objectives - The objective of this project...
Problem - Urbanization of the 150-square-mile Irondequoit Creek basin in Monroe and Ontario Counties, N.Y., continues to spread southward and eastward from the City of Rochester. Conversion of forested land to other uses over the past 40 years has increased to the extent that more than 50 percent of the basin is now developed. This expansion has increased flooding and impaired stream-water quality in the northern (downstream) half of the basin. A precipitation-runoff model of the Irondequoit Creek basin could be used as a management tool by water-resources managers to better understand the hydrology of the basin, permit simulation of planned or hypothetical land-use changes, evaluate the adverse effects of future...
Categories: Data,
Project;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Climate Change,
Climate Change,
Climate Change,
Completed,
Cooperative Water Program,
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,
Problem - During 2003-07, a precipitation-runoff watershed model with water-quality components was developed to assess pollutant sources and loadings to Onondaga Lake, and to assist water-resources managers in making decisions regarding the selection and location of mitigative measures to maximize load reduction for a given effort. In the absence of chemical loading rates that were specific to the Onondaga Lake Basin, the model was calibrated to estimated loading rates that were derived from a review of scientific literature. During 2005-08, an intensive water-quality study of the basin was conducted to provide basin-specific data that, among other uses, could be incorporated into the watershed model and provide...
Categories: Data,
Project;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Completed,
Cooperative Water Program,
Flood Hazards,
Flood Hazards,
Flood Hazards,
Objective: The USGS New York Water Science Center (NYWSC) works with other Federal agencies as well as with State, municipal, and tribal agencies to provide research and data about water-related issues. Relevance and Impact: The NYWSC leads the scientific and water-resources management communities by providing high-quality, timely, and unbiased scientific data, reports, and other information that are widely accessible and understandable and that benefit science interests of all levels of government, academia, nongovernmental organizations, the private sector, and the general public. Statement of Problem: The NYWSC studies the effects of weather, climate, and manmade influences on groundwater levels, streamflow (discharge),...
Categories: Data,
Project;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Beach and Barrier Dynamics,
Beach and Barrier Dynamics,
Beach and Barrier dynamics,
Coastal Science,
Coastal Science,
This child item dataset provides site information for 82 streams and rivers from which data was used to train and test a machine learning model of daily chlorophyll concentrations. This dataset is part of a larger data release that contains model inputs, observed chlorophyll concentrations, model estimates of chlorophyll, and contributions of individual variables to modeled predictions.
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),
Problem Nutrients and sediment are generated by and removed from agricultural and urban areas, transported in streams, and ultimately delivered to the Great Lakes. The nutrients stimulate excessive algal growth and potentially cause noxious blooms and hypoxia. Sediment increases turbidity near stream mouths and, when deposited, can smother bottom-dwelling animals, drive fish from affected areas, and decrease water depth in navigation channels. An understanding of the hydrologic and water-quality processes that generate these loads will assist water-resources managers in making informed decisions regarding prevention or mitigation of these problems. A precipitation-runoff watershed model is a tool, which can...
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 data release supports an analysis of changes in dissolved organic carbon (DOC) and nitrate concentrations in Buck Creek watershed near Inlet, New York 2001 to 2021. The Buck Creek watershed is a 310-hectare forested watershed that is recovering from acidic deposition within the Adirondack region. The data release includes pre-processed model inputs and model outputs for the Weighted Regressions on Time, Discharge and Season (WRTDS) model (Hirsch and others, 2010) to estimate daily flow normalized concentrations of DOC and nitrate during a 20-year period of analysis. WRTDS uses daily discharge and concentration observations implemented through the Exploration and Graphics for River Trends R package (EGRET) to...
This data release contains modeled daily chlorophyll concentration for 82 streams and rivers across the conterminous United States. Estimates of daily chlorophyll concentration were generated using an extreme gradient boosting (XGBoost) (Chen & Guestrin, 2016) machine learning model and various measures of water quality, reach characteristics, and meteorology. Child Items in this data release contain: Site information: This child item contains station identifiers, location information, location type, stream order, and associated NHDPlusv2.1 reach common unique identifiers (ComID). The file format is tab-delimted with 1 row per station. Model inputs and outputs: This child item contains XGBoost model inputs, observed...
Background: The New York City Department of Environmental Protection (DEP) maintains an extensive network of reservoirs and aqueducts for water collection, storage, and transport; it supplies more than one billion gallons of drinking water daily to more than nine million people. The East of Hudson (EOH) network (fig. 1) includes thirteen reservoirs – Amawalk, Bog Brook, Boyd Corners, Cross River, Croton Falls, Diverting, East Branch, Kensico, Middle Branch, Muscoot, New Croton, Titicus, and West Branch – and three regulated lakes – Kirk Lake, Lake Gilead, and Lake Gleneida. The EOH reservoirs were put into service from 1873 to 1915 and have an estimated combined storage capacity of more than 117 billion gallons....
Categories: Data,
Project;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: USGS New York Water Science Center,
WSC,
Water Quality,
Water-Quailty Modeling,
Water-Quality Modeling
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,
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