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Found 110 dataset(s) matching "stochastic modeling".
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Stochastic Empirical Loading and Dilution Model (SELDM) utilizes Microsoft Access databases to build and run model simulations. The compiled database was used for all simulations related to the...
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This data release documents the data and models used to assess flows, concentrations, and loads of highway and urban runoff and of stormwater within receiving streams in southern New England....
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This data release documents statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM). The U.S....
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This data release documents the location of intersections between roads and streams, referred to as road crossings, and associated basin characteristics to support highway-runoff mitigation...
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The purpose of this USGS data release is to publish NC SELDM streamflow statistics and summary statistics of physical and chemical data in support of the information provided in the...
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The purpose of this USGS data release is to publish NC SELDM streamflow statistics and summary statistics of physical and chemical data in support of the information provided in the...
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The Best Management Practices Statistical Estimator (BMPSE) version 1.2.0 was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) Office...
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The U.S. Geological Survey has developed tools for projecting twenty-first century climate and hydrologic risk in Massachusetts in collaboration with Cornell University and Tufts University. These...
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This dataset provides Stochastic Time-Inverted Lagrangian Transport model outputs for receptors located at the NOAA Barrow Alaska Observatory for 12 selected years (15 August to 15 October) across...
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The U.S. Geological Survey, in cooperation with the Federal Highway Administration (FHWA) and the Connecticut, Massachusetts, and Rhode Island Departments of Transportation (DOTs), gathered...
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A water-balance model of the Red River Basin upstream from Emerson, Manitoba was coupled with stochastic weather inputs to simulate possible future low-streamflow conditions and to present results...
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HyDE is a model-based diagnosis engine for stochastic hybrid systems. HyDE uses transitional and behavioral models of the system to diagnose the occurrence of unobserved events (a subset of which...
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Composites offer unique advantages for aerospace structures and are increasingly being adopted into newer designs. However, it is also acknowledged that given current understanding of damage...
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Transmission electron microscope tomographic data of aligned carbon nanotubes in epoxy at volume fractions of 0.44%, 2.6%, 4%, and 6.9%. Reduced data and analysis are available at...
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Background Noncoding RNA genes produce transcripts that exert their function without ever producing proteins. Noncoding RNA gene sequences do not have strong statistical signals, unlike...
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The occurrence and impact of the February 2023 earthquake doublet in Türkiye, where an Mw 7.8 event was followed roughly 9 hours later by an Mw 7.5 event on an adjacent fault, begs the question:...
