Dissertation/Thesis Abstract

Differentiating Clogging and Mounding with Distributed Temperature Sensing
by O'Connell, Patrick James, M.S., California State University, Long Beach, 2019, 210; 27545796
Abstract (Summary)

The ability to differentiate mounding and clogging is important for maximizing groundwater recharge basin performance. The goal of this research is to characterize flow conditions throughout the basin floor based on correlation of vertical head gradients (dh/dz), calculated with stage (h_sw) and piezometric (h_gw) water levels, and infiltration rates (q_z), calculated with paired distributed temperature sensing (DTS). Data were collected over an eight month period at the Orange County Water District (OCWD)’s “La Palma” recharge basin, which receives purified water. Mounding was identified in the center of the basin where q_z and dh/dz were correlated. Clogging was identified in the deepest part of the basin, where q_z declined exponentially as dh/dz increased (anti-correlated) and eventually exhibited weak correlation once q_z approached asymptotically low values. These findings support distinct “type” curves for describing the relationships between q_z and dh/dz depending on if basin floor flow conditions are clogged or mounded.

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Indexing (document details)
Advisor: Becker, Matthew W
Commitee: Hagedorn, K Benjamin, Bormann, Jayne M
School: California State University, Long Beach
Department: Geological Sciences
School Location: United States -- California
Source: MAI 81/8(E), Masters Abstracts International
Subjects: Hydrologic sciences, Geophysics, Water Resources Management
Keywords: Clogging, DTS, Infiltration, Mounding, Recharge, Tracer
Publication Number: 27545796
ISBN: 9781658420846
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