Charity Kgotlaebonywe
University of Texas at Arlington
| Subject Areas: | Isotopic tracers,water resource management |
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ABSTRACT:
In this study, we employed Bayesian isotope mixing modelling (MixSIAR), spatial k-means clustering, and operational volumetric data to estimate and validate source water contributions within the Dallas-Fort Worth Metroplex (City of Arlington, TX, USA), to understand tap water distribution systems for managing water quality, source contribution in urban environments.
ABSTRACT:
This database comprises a total of 399 random tap water samples collected/compiled across four seasonal campaigns (from Winter 2022 to Summer 2023/24) across Gaborone (Botswana) as well as rainfall (N=88), tap water (N=42; weekly), groundwater (N= 126), surface water (N= 105), and drinking water reservoir (N=48; weekly) samples. In addition, daily precipitation and mean daily temperature and clustering analysis results are also included.
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Created: July 8, 2025, 6:11 p.m.
Authors: Kgotlaebonywe, Charity · Sánchez-Murillo, Ricardo
ABSTRACT:
This database comprises a total of 399 random tap water samples collected/compiled across four seasonal campaigns (from Winter 2022 to Summer 2023/24) across Gaborone (Botswana) as well as rainfall (N=88), tap water (N=42; weekly), groundwater (N= 126), surface water (N= 105), and drinking water reservoir (N=48; weekly) samples. In addition, daily precipitation and mean daily temperature and clustering analysis results are also included.
Created: June 29, 2026, 5:24 p.m.
Authors: Kgotlaebonywe, Charity · Sánchez-Murillo, Ricardo
ABSTRACT:
In this study, we employed Bayesian isotope mixing modelling (MixSIAR), spatial k-means clustering, and operational volumetric data to estimate and validate source water contributions within the Dallas-Fort Worth Metroplex (City of Arlington, TX, USA), to understand tap water distribution systems for managing water quality, source contribution in urban environments.