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Spatiotemporal variations of hydrochemical characteristics of irrigation water: a case study of the Lower Rio Grande Valley, USA
Spatiotemporal variations of hydrochemical characteristics of irrigation water: a case study of the Lower Rio Grande Valley, USA
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Spatiotemporal variations of hydrochemical characteristics of irrigation water: a case study of the Lower Rio Grande Valley, USA
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Spatiotemporal variations of hydrochemical characteristics of irrigation water: a case study of the Lower Rio Grande Valley, USA
Spatiotemporal variations of hydrochemical characteristics of irrigation water: a case study of the Lower Rio Grande Valley, USA
Journal Article

Spatiotemporal variations of hydrochemical characteristics of irrigation water: a case study of the Lower Rio Grande Valley, USA

2023
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Overview
Hydrochemical characteristics of irrigation water and their spatiotemporal variations can provide critical information for ensuring healthy crop growth and determining the best water management practices. The Lower Rio Grande Valley (LRGV) is heavily dependent upon ditch irrigation to deliver water from the Rio Grande River to support its staple crop production. To date, no studies have been conducted to quantify the water quality and its variations along the distribution system. This research measured water quality parameters at seven sites in LRGV irrigation water in 2021. Chemical indices including salinity hazard (SH), sodium adsorption ratio (SAR), sodium percentage (Na%), residual sodium carbonate (RSC), magnesium hazard (MH), Kelly's Ratio (KR), and permeability index (PI) were calculated. Classification diagrams were prepared. Results revealed the locations that had doubtful water for irrigation use and more problematic water quality index levels. June and August had the highest index levels, which may have been attributable to the large rainfall events in May and July. The SH, Na%, KR, and MH indices exceeded recommended levels. ANOVA analyses showed significant temporal variations in SAR, RSC, MH, KR, and PI. These findings indicate the importance of incorporating water quality spatiotemporal variation information in routine irrigation planning and management.