Filters: Tags: Regression (X)6 results (209ms)
Distributed hydrologic models typically require spatial estimates of precipitation interpolated from sparsely located observational points to the specific grid points. We compare and contrast the performance of regression-based statistical methods for the spatial estimation of precipitation in two hydrologically different basins and confirmed that widely used regression-based estimation schemes fail to describe the realistic spatial variability of daily precipitation field. The methods assessed are: (1) inverse distance weighted average; (2) multiple linear regression (MLR); (3) climatological MLR; and (4) locally weighted polynomial regression (LWP). In order to improve the performance of the interpolations, the...
Developing and Implementing Predictive Models for Estimating Recreational Water Quality at Great Lakes Beaches in new York State
Description of Work Predictive models have been used at beaches to improve the timeliness and accuracy of recreational water-quality assessments over the most common current approach to water-quality monitoring, which relies on culturing fecal-indicator bacteria such as Escherichia coli (E. coli.)
This geologic map and report present 1:63,360-scale geologic mapping of the south-central Sagavanirktok Quadrangle in northern Alaska. This area encompasses approximately 600 square miles in the northern foothills of the Brooks Range, and includes stratigraphic and structural elements important to understanding the oil and gas potential of Alaska's North Slope.
Flood Regionalization: A Hybrid Geographic and Predictor-Variable Region-of-Influence Regression Method
To facilitate estimation of streamflow characteristics at an ungauged site, hydrologists often define a region of influence containing gauged sites hydrologically similar to the estimation site. This region can be defined either in geographic space or in the space of the variables that are used to predict streamflow (predictor variables). These approaches are complementary, and a combination of the two may be superior to either. Here we propose a hybrid region-of-influence (HRoI) regression method that combines the two approaches. The new method was applied with streamflow records from 1,091 gauges in the southeastern United States to estimate the 50-year peak flow (Q50) . The HRoI approach yielded lower root-mean-square...