Water Samplers for Open Ocean Tracer Release Experiments

Abstract

Conventional "spot" sampling of patchy distributions of oceanic constituents can lead to sampling errors. Interpretation of results based on data of disparate temporal or spatial resolution can be difficult or impossible. This report discusses the design and performance of two water sampling devices which attempt to minimize these problems. The devices were created for open ocean tracer release experiments, but can be used for other experiments where inhomogeneity is anticipated. The first sampler is a mechanically-operated,variable-rate integrating water sampler which acquires a time-averaged sample. The sampler incorporates features of both the spring-driven and the hydraulically-driven samplers described by Ledwell et al., 1991. The second sampler is a multichamber sampling system incorporating a battery powered pump and valve system made by McLane Research, Inc., of Falmouth, Massachusetts. The system consists of a micro-gear pump, a 50-port valve with programmable controller, and carousels containing fifty glass sampling syringes. It can be programmed to sample on a variety of schedules allowing the user flexibility in the field to adapt to changing requirements. A general description, operational instructions, and performance analysis are provided for each sampler system.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1998
Accession Number
ADA359199

Entities

People

  • James R. Ledwell
  • Kenneth Doherty
  • Terence Donoghue

Organizations

  • Woods Hole Oceanographic Institution

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Aquatic Organisms
  • Backfills
  • Canisters
  • Computers
  • Data Acquisition
  • Data Analysis
  • Dielectric Polymers
  • Fresh Water
  • Laboratory Procedures
  • Laboratory Tests
  • Materials
  • Mechanics
  • O Rings
  • Oceanography
  • United States
  • United States Government
  • Water Supplies

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Electrical Engineering
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers