CALL FOR PROPOSALS:

ORGANIZERS

  • Harvey Thorleifson, Chair
    Minnesota Geological Survey
  • Carrie Jennings, Vice Chair
    Minnesota Geological Survey
  • David Bush, Technical Program Chair
    University of West Georgia
  • Jim Miller, Field Trip Chair
    University of Minnesota Duluth
  • Curtis M. Hudak, Sponsorship Chair
    Foth Infrastructure & Environment, LLC

 

Paper No. 28
Presentation Time: 3:45 PM

POTENTIAL IMPACT OF CLIMATE CHANGE ON LONG-TERM STREAM DISCHARGE IN NEW YORK STATE


STETZ, Molly M.1, MALIEKAL, Jose A.1 and NOLL, Mark R.2, (1)Department of The Earth Sciences, The College at Brockport, State University of New York, 350 New Campus Dr, Brockport, NY 14420, (2)Department of the Earth Sciences, The College at Brockport, State University of New York, 350 New Campus Dr, Brockport, NY 14420, mstet1@brockport.edu

Although increase in temperature continues to be the dominant topic of interest in climate change studies, changes in precipitation patterns and their impact on stream discharge are also receiving considerable attention. Recent work has focused on predicting the impact of changes in precipitation patterns on stream discharge. By comparison, little work has been done in examining historic records to understand the nature and tenor of long-term changes in precipitation and discharge. Here we investigate five watersheds in Buffalo, Rochester, Binghamton, Syracuse and Watertown, New York that have precipitation and discharge data for 60 to 80 years, collected and achieved by NWS and USGS, respectively.

To determine whether precipitation and/or discharge data exhibit long-term trend, annual precipitation and annual mean discharge data were subjected to Mann-Kendall test. Though statistically significant trends were detected, because precipitation and discharge data are marked by strong persistence, it is likely that the statistical significance is affected by the presence of persistence. Accordingly, we performed the Mann-Kendall test after pre-whitening both precipitation and discharge data. The pre-whitening process involved three steps: (i) removing the trend using the Thiel-Sen estimate of the slope, (ii) removing the effect of lag-1 autocorrelation from the de-trended data and (iii) adding the trend back to the data from step (ii).

Results do not show a consistent pattern in the five watersheds with respect to stream discharge. Furthermore, patterns in discharge trends do not always correlate with precipitation trends. Further evaluation of the stream discharge trends is looking at changes in land-use, its impact on stream discharge and potential influence on the observed trends in the data.

Meeting Home page GSA Home Page