2021
DOI: 10.1061/(asce)ww.1943-5460.0000651
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Incorporating Water Quality Analysis into Navigation Assessments as Demonstrated in the Mississippi River Basin

Abstract: A description of historical and ambient water quality conditions is often required as part of navigational studies. This paper describes a series of tools developed by the USGS that can aid navigation managers in developing water quality assessments. The tools use R, a statistical software program, and provide methods to retrieve historical streamflow and water quality data, summarize observations, model concentrations and fluxes, and estimate seasonal, annual, and decadal trends. The utility of these tools is… Show more

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Cited by 2 publications
(3 citation statements)
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References 15 publications
(19 reference statements)
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“…SS has declined in the Mississippi River for many decades. The largest decreases in SS occurred prior to or around the 1980s in the Lower Mississippi and Atchafalaya Rivers (Meade & Moody, 2010 ; Mize et al, 2018 ) yet leveled off over the last decade (Kleiss et al, 2021 ).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…SS has declined in the Mississippi River for many decades. The largest decreases in SS occurred prior to or around the 1980s in the Lower Mississippi and Atchafalaya Rivers (Meade & Moody, 2010 ; Mize et al, 2018 ) yet leveled off over the last decade (Kleiss et al, 2021 ).…”
Section: Methodsmentioning
confidence: 99%
“…Ultimately, we want to determine the usability of SS data records that were collected using multiple field methods to help resource managers, scientists, and engineers working in large river systems better understand and model SS from these complex records. In the Lower Mississippi and Atchafalaya Rivers, like in many large coastal river systems, SS concentrations are used to determine SS fluxes (e.g., Allison et al, 2012 ) and trends (e.g., Kleiss et al, 2021 ; Mize et al, 2018 ), and accurate estimation of these values are important for maintaining adequate channel depths for navigation and for planning and implementing coastal restoration activities.…”
Section: Introductionmentioning
confidence: 99%
“…It is evident from this example that nowhere near enough reduction of nitrogen loss has been made to expect detectable ecosystem responses in the GoM. To achieve desired benefit–cost ratios from investments in water quality and other post-DWH improvements on the GoM ( 13 ) it is important to appropriately scale expectations for the effects of restoration using suitable statistical tools ( 14 ).…”
Section: Relative Scale Of Restoration Effectsmentioning
confidence: 99%