Dissertation/Thesis Abstract

Sampling frequency for semi-arid streams and rivers: Implications for national parks in the Sonoran Desert Network
by Lindsey, Melanie M., M.S., The University of Arizona, 2010, 88; 1482416
Abstract (Summary)

In developing a water quality monitoring program, the sampling frequency chosen should be able to reliably detect changes in water quality trends. Three datasets are evaluated for Minimal Detectable Change in surface water quality to examine the loss of trend detectability as sampling frequency decreases for sites within the National Park Service’s Sonoran Desert Network by re-sampling the records as quarterly and annual datasets and by superimposing step and linear trends over the natural data to estimate the time it takes the Seasonal Kendall Test to detect trends of a specific threshold. Wilcoxon Rank Sum analyses found that monthly and quarterly sampling consistently draw from the same distribution of trend detection times; however, annual sampling can take significantly longer. Therefore, even with a loss in power from reduced sampling, quarterly sampling of Park waters adequately detects trends (70%) compared to monthly whereas annual sampling is insufficient in trend detection (30%).

Indexing (document details)
Advisor: Meixner, Thomas
Commitee: McIntosh, Jennifer C., Valdes, Juan B.
School: The University of Arizona
Department: Hydrology
School Location: United States -- Arizona
Source: MAI 49/02M, Masters Abstracts International
Source Type: DISSERTATION
Subjects: Hydrologic sciences
Keywords: Sampling frequency, Seasonal kendall test, Trend analysis, Water quality
Publication Number: 1482416
ISBN: 9781124260969
Copyright © 2019 ProQuest LLC. All rights reserved. Terms and Conditions Privacy Policy Cookie Policy
ProQuest