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Record W1486445472

Reactive transport modeling of biogeochemical dynamics in subterranean estuaries: Implications for submarine groundwater discharge of nutrients

2007· dissertation· en· W1486445472 on OpenAlexaboutno aff
C. Spiteri

Bibliographic record

VenueData Archiving and Networked Services (DANS) · 2007
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicGroundwater and Isotope Geochemistry
Canadian institutionsnot available
Fundersnot available
KeywordsSubmarine groundwater dischargeAquiferBiogeochemical cycleGroundwaterBiogeochemistryEnvironmental scienceEstuaryNutrientHydrology (agriculture)Groundwater dischargeNitrateEnvironmental chemistryGroundwater flowOceanographyGeologyEcologyChemistry
DOInot available

Abstract

fetched live from OpenAlex

The quality of groundwater, in particular in coastal areas, is increasingly deteriorating due to the input of nutrients (NO3-, NH4+ and PO4) from septic systems and agricultural leaching. The discharge of groundwater to coastal waters, termed submarine groundwater discharge (SGD), is now recognized as an important transport pathway of nutrients from the land to the sea. The chemical composition of SGD is not only determined by the landward sources, but also by the biogeochemical reactions that occur when groundwater travels through the subterranean estuary, the zone in a coastal aquifer where freshwater and seawater interact. The aims of this thesis are: (1) To identify and quantify the biogeochemical processes that remove or transform nutrients in subterranean estuaries. (2) To assess the impact of landward source concentrations, aquifer characteristics, groundwater flow rates and dispersive transport on nutrient transformations in coastal aquifers and on the SGD of nutrients. The methodology used throughout this study is reactive transport modeling. First, a 1D finite difference reactive transport model (RTM) is used to describe the biogeochemistry of of phosphorus (P) in two oxic, electron donor-poor, Canadian aquifers, characterized by different aquifer material (calcareous and iron oxide-rich). The aquifer material, in particular iron oxide, is found to play a major role in the downgradient attenuation of P through sorption, whereas N, mainly in the form of NO3-, travels conservatively without major removal through denitrification. The investigation of the role of iron oxides in controlling phosphate concentrations is then extended to a subterranean estuary subject to saltwater intrusion. The behaviour of P along physico-chemical gradients of ionic strength and pH which develop during estuarine mixing, is simulated using an electrostatic surface complexation model (SCM) coupled to a 2D variable-density finite-element RTM. The transient evolution of phosphate sorption upon saltwater intrusion in a coastal aquifer and the subsequent mobilization of phosphate related to the sharp increase in groundwater pH are investigated. In many coastal aquifers, the sorption capacity of phosphate is related to the occurrence of zones of iron oxide accumulation, often referred to as “Iron Curtains”. The mechanism which drives the formation of such an “Iron Curtain” in the mixing zone of Waquoit Bay, MA, USA and the subsequent attenuation of P are studied. A 2D density-dependent flow coupled to a biogeochemical model is then applied to the extensive field data along a beach transect in the same study site, to help unravel the nutrient biogeochemical dynamics in this subterranean estuary. Results show that the conditions required for denitrification are not met and thus, SGD in Waquoit Bay is mainly a source of NO3- to the coastal zone. As illustrated by this field study, redox conditions strongly determine the extent of nutrient transformation/removal in subterranean estuaries. Therefore, four generic model subterranean estuaries, representing the end members of oxic/anoxic aquifer and seawater redox conditions are defined, to investigate further the role of organic matter reactivity, alternative denitrification pathways, as well as groundwater flow velocity and transverse dispersivity on the nutrient distributions and fluxes to the coastal waters.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.561
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.259
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2007
Admission routes1
Has abstractyes

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