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Modeling Time Series Radon Inventory and Constraints on the Submarine Groundwater Discharge Mass Balance of a Well-Mixed, Highly Dynamic Estuary.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modeling Time Series Radon Inventory and Constraints on the Submarine Groundwater Discharge Mass Balance of a Well-Mixed, Highly Dynamic Estuary./
作者:	Wolfe, William Wadin.
面頁冊數:	1 online resource (112 pages)
附註:	Source: Masters Abstracts International, Volume: 83-12.
Contained By:	Masters Abstracts International83-12.
標題:	Hydrologic sciences. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29170038click for full text (PQDT)
ISBN:	9798819373569

Modeling Time Series Radon Inventory and Constraints on the Submarine Groundwater Discharge Mass Balance of a Well-Mixed, Highly Dynamic Estuary.
Wolfe, William Wadin.

Modeling Time Series Radon Inventory and Constraints on the Submarine Groundwater Discharge Mass Balance of a Well-Mixed, Highly Dynamic Estuary. - 1 online resource (112 pages)

Source: Masters Abstracts International, Volume: 83-12.

Thesis (M.Sc.)--Texas A&M University - Corpus Christi, 2022.

Includes bibliographical references

Submarine groundwater discharge (SGD) is defined as any and all types of water flow from the seabed to the coastal ocean, which includes both terrestrial groundwater inputs and seawater recirculated through marine sediments. Although often diffuse and over-shadowed by surface-water inputs, SGD represents a significant source of freshwater and solutes to many sensitive marine environments. The naturally occurring radioisotope 222Rn (i.e., radon, t1/2 = 3.82 days) is an effective tracer of SGD due to its non-reactive nature and dominantly terrestrial source. However, poor constraints on radon variability in shallow-turbulent estuaries introduce large uncertainties to SGD rate estimation. This study collected high-resolution measurements of radon (30-minute, n=10,660) at a stationary platform near Ward Island, Texas in the western Gulf of Mexico over a 24-month period from 2019-2021. Continuous, publicly available hydroclimatic parameters (wind speed/direction, groundwater/tide levels, air/water temperature, creek discharge and precipitation, n= 35,088) were coupled with radon observations through high-powered statistical analyses. Multi-linear regression (MLR), generalized additive modeling (GAM), cross-correlation functions (i.e., lag times) and Random Forest modeling quantified atmospheric and hydrologic controls on radon tracer variability that would otherwise be obscured over shorter study periods. Lag times and wind speed-direction (i.e., wind vector) were incorporated into a novel mass balance for SGD that more accurately accounts for atmospheric evasion and mixing losses than previously published methods. The excellent performance of the Random Forest model (R2 = 0.93) allowed for gap-filling of radon throughout the study period, providing uninterrupted SGD estimates across multi-seasonal conditions. Results of this study reveal SGD in this region to be more of a perennial process (i.e., less variable in magnitude across wet-dry seasons) than previous studies have reported using shorter sampling campaigns. Additionally, correlations between groundwater levels, precipitation, and SGD estimates provide insight into the origin of groundwater (shallow or deeper aquifers) supplying SGD to regional estuaries.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798819373569Subjects--Topical Terms:

3168407
Hydrologic sciences.
Subjects--Index Terms:

Groundwater dischargeIndex Terms--Genre/Form:

542853
Electronic books.

Modeling Time Series Radon Inventory and Constraints on the Submarine Groundwater Discharge Mass Balance of a Well-Mixed, Highly Dynamic Estuary.
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245 1 0 $a Modeling Time Series Radon Inventory and Constraints on the Submarine Groundwater Discharge Mass Balance of a Well-Mixed, Highly Dynamic Estuary.
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500 $a Advisor: Murgulet, Dorina.
502 $a Thesis (M.Sc.)--Texas A&M University - Corpus Christi, 2022.
504 $a Includes bibliographical references
520 $a Submarine groundwater discharge (SGD) is defined as any and all types of water flow from the seabed to the coastal ocean, which includes both terrestrial groundwater inputs and seawater recirculated through marine sediments. Although often diffuse and over-shadowed by surface-water inputs, SGD represents a significant source of freshwater and solutes to many sensitive marine environments. The naturally occurring radioisotope 222Rn (i.e., radon, t1/2 = 3.82 days) is an effective tracer of SGD due to its non-reactive nature and dominantly terrestrial source. However, poor constraints on radon variability in shallow-turbulent estuaries introduce large uncertainties to SGD rate estimation. This study collected high-resolution measurements of radon (30-minute, n=10,660) at a stationary platform near Ward Island, Texas in the western Gulf of Mexico over a 24-month period from 2019-2021. Continuous, publicly available hydroclimatic parameters (wind speed/direction, groundwater/tide levels, air/water temperature, creek discharge and precipitation, n= 35,088) were coupled with radon observations through high-powered statistical analyses. Multi-linear regression (MLR), generalized additive modeling (GAM), cross-correlation functions (i.e., lag times) and Random Forest modeling quantified atmospheric and hydrologic controls on radon tracer variability that would otherwise be obscured over shorter study periods. Lag times and wind speed-direction (i.e., wind vector) were incorporated into a novel mass balance for SGD that more accurately accounts for atmospheric evasion and mixing losses than previously published methods. The excellent performance of the Random Forest model (R2 = 0.93) allowed for gap-filling of radon throughout the study period, providing uninterrupted SGD estimates across multi-seasonal conditions. Results of this study reveal SGD in this region to be more of a perennial process (i.e., less variable in magnitude across wet-dry seasons) than previous studies have reported using shorter sampling campaigns. Additionally, correlations between groundwater levels, precipitation, and SGD estimates provide insight into the origin of groundwater (shallow or deeper aquifers) supplying SGD to regional estuaries.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
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650 4 $a Geochemistry. $3 539092
650 4 $a Marine geology. $3 3173821
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653 $a Mass balance
653 $a Radon
653 $a Random forest
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710 2 $a Texas A&M University - Corpus Christi. $b Coastal and Marine System Science Program. $3 3175101
773 0 $t Masters Abstracts International $g 83-12.
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