Relative sea-level trends in New York City during the past 1500 years

Abstract

New York City (NYC) is threatened by 21st-century relative sea-level (RSL) rise because it will experience a trend that exceeds the global mean and has high concentrations of low-lying infrastructure and socioeconomic activity. To provide a long-term context for anticipated trends, we reconstructed RSL change during the past ~1500 years using a core of salt-marsh sediment from Pelham Bay in The Bronx. Foraminifera and bulk-sediment δ13C values were used as sea-level indicators. The history of sediment accumulation was established by radiocarbon dating and recognition of pollution and land-use trends of known age in down-core elemental, isotopic, and pollen profiles. The reconstruction was generated within a Bayesian hierarchical model to accommodate multiple proxies and to provide a unified statistical framework for quantifying uncertainty. We show that RSL in NYC rose by ~1.70 m since ~575 CE (including ~0.38 m since 1850 CE). The rate of RSL rise increased markedly at 1812–1913 CE from ~1.0 to ~2.5 mm/yr, which coincides with other reconstructions along the US Atlantic coast. We investigated the possible influence of tidal-range change in Long Island Sound on our reconstruction using a regional tidal model, and we demonstrate that this effect was likely small. However, future tidal-range change could exacerbate the impacts of RSL rise in communities bordering Long Island Sound. The current rate of RSL rise is the fastest that NYC has experienced for >1500 years, and its ongoing acceleration suggests that projections of 21st-century local RSL rise will be realized.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 09, 2017
Source ID
10.1177/0959683616683263

Entities

People

  • Andrew C Parnell
  • Andrew C. Kemp
  • Christopher H Vane
  • Ellen K Hartig
  • Kelsey Sanborn
  • Niamh Cahill
  • Philip M Orton
  • Stefan A. Talke
  • Troy D Hill

Organizations

  • British Geological Survey
  • National Science Foundation
  • Portland State University
  • Stevens Institute of Technology
  • Tufts University
  • United States Army Corps of Engineers
  • United States Environmental Protection Agency
  • University College Dublin
  • University of Massachusetts Amherst
  • University of Sydney

Tags

Fields of Study

  • Environmental science

Readers

  • Coastal and Marine Engineering/Sediment Transport/Hydraulic Engineering
  • Electrochemical Surface Science
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference