Date of Award

January 2023

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Environmental Engineering

First Advisor

Yeo H. Lim

Second Advisor

Michael Mann

Abstract

A database containing salinity and climatology data collected at Anzalduas Dam’sReservoir, Mier Monitoring Station (Upper water from Anzalduas Dam) and Retamal Monitoring Station (Lower water from Anzalduas Dam) in the lower Rio Grande River for the September through December 2016 time period was compiled. The information obtained on the water quality of Anzalduas Dam was used as a base to describe corrective measurements needed for its water recuperation, improvement and/or contamination’s prevention. The study aims to illustrate the relationship between water quality, specifically focusing on salinity concentrations and its relationship with temperature, evaporation, and the volumetric rate of water flow (Q). Salinity and climatology data were then analyzed using descriptive statistics to determine their plausibility. After that, the data were used in ANOVA variability and regression analyses to determine the relationship of salinity with water quality in irrigation water. All analyses and parameters were averaged over one, two, and three months. Salinity patterns were very similar during those three months in Anzalduas Dam reservoir; however, the daily mean on salinity exhibited greater variability. The mean salinity concentration obtained in an afternoon was typically lower when compared with the morning period. Those differences in salinity concentrations are related to the increase of flow rate during the seasonal irrigation. It may be accounted for by dilution.

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