期刊
JOURNAL OF HYDROLOGY
卷 544, 期 -, 页码 172-179出版社
ELSEVIER
DOI: 10.1016/j.jhydrol.2016.11.018
关键词
Salinity; Proximal sensors
资金
- United States Forest Service [15-CS-11011800-013]
- BL Allen Endowment in Pedology at Texas Tech University
Rapid, in-situ elemental water analysis would be an invaluable tool in studying polluted and/or salt impacted waters. Analysis of water salinity has commonly used electrical conductance (EC); however, the identity of the elements responsible for the salinity are not revealed using EC. Several studies have established the viability of using portable X-ray fluorescence (PXRF) spectrometry for elemental data analysis of soil, sediment, and other matrices. However, the accuracy of PXRF is known to be affected while scanning moisture-laden soil samples. This study used PXRF elemental data in water samples to predict water EC. A total of 256 water samples, from 10 different countries were collected and analyzed via PXRF, inductively coupled plasma atomic emission spectroscopy (ICP-AES), and a digital salinity bridge. The PXRF detected some elements more effectively than others, but overall results indicated that PXRF can successfully predict water EC via quantifying CI in water samples (validation R-2 and WISE of 0.77 and 0.95 log mu S cm(-1), respectively). The findings of this study elucidated the potential of PXRF for future analysis of pollutant and/or metal contaminated waters. (C) 2016 Elsevier B.V. All rights reserved.
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