Statistical Models to Predict and Assess Spatial and Temporal Low-Flow Variability in New England Rivers and Streams.

ABSTRACT: In the northern hemisphere, summer low flows are a key attribute defining both quantity and quality of aquatic habitat. I developed one set of models for New England streams/rivers predicting July/August median flows averaged across 1985 to 2015 as a function of weather, slope, % imperviousness, watershed storage, glacial geology and soils. These models performed better than most USGS models for summer flows developed at a statewide scale. I developed a second set of models predicting interannual differences in summer flows as a function of differences in air temperature, precipitation, the North Atlantic Oscillation Index (NAO), and lagged NAO. Use of difference equations eliminated the need for transformations and accounted for serial autocorrelations at lag 1. The models were used in se

SUBMITTER: Detenbeck NE 

PROVIDER: S-EPMC6550336 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature