Cornell University
Library
Cornell UniversityLibrary

eCommons

Help
Log In(current)
  1. Home
  2. College of Agriculture and Life Sciences
  3. New York State Water Resources Institute
  4. Climate Resilience
  5. Dynamic sediment-discharge rating curve models to support climate-smart management of water quality in the New York City water supply system

Dynamic sediment-discharge rating curve models to support climate-smart management of water quality in the New York City water supply system

File(s)
2017_Steinschneider_Final.pdf (2.67 MB)
Permanent Link(s)
https://hdl.handle.net/1813/115366
Collections
Climate Resilience
Water Quality
Author
Steinschneider, Scott
Abstract

The research conducted in this work developed dynamic (i.e., time-varying) sediment–discharge rating curves for the Esopus Creek, a tributary in the Hudson River Estuary Basin and a major source of water supply for New York City (NYC). These dynamic rating curves were created to help the NYC Department of Environmental Protection (DEP) understand 1) how sediment yield per unit of streamflow has changed over time at multiple temporal scales (daily-decadal), 2) what aspects of climate variability are responsible for these fluctuations, and 3) how these fluctuations could be modeled under future climate scenarios. The analysis emphasized the lasting impact of major floods on the flow-sediment relationship. This information is critically important because high suspended sediment following major floods threatens the ability of DEP to meet the requirements of NYC’s Filtration Avoidance Determination, which saves the city billions of dollars in avoided infrastructure costs for drinking water filtration. These events also disturb creek-side communities and aquatic ecosystems downstream on the Esopus Creek in Ulster County. This work will better enable NYC DEP to accurately generate and plan for scenarios of sedimentation under future climate with intensifying extreme events.

Description
This report was prepared for the New York State Water Resources Institute (NYSWRI) with support from the U.S. Geological Survey under Grant/ Cooperative Agreement No. G16AP00072
Date Issued
2017
Publisher
New York State Water Resources Institute
Keywords
USGS
•
Cornell University
•
Hudson
•
Lower Hudson
•
Climate Adaptation
•
Flooding
•
Extreme Precipitation
•
Drinking Water
Rights
Attribution-NonCommercial 4.0 International
Rights URI
https://creativecommons.org/licenses/by-nc/4.0/
Type
report

Site Statistics | Help

About eCommons | Policies | Terms of use | Contact Us

copyright © 2002-2026 Cornell University Library | Privacy | Web Accessibility Assistance