Predicting sedimentary bedrock subsurface weathering fronts and weathering rates: Dataset

Wan, Jiamin; Tokunaga, Tetsu K.; Williams, Kenneth H.; Brown, Wendy; Dong, Wenming; Henderson, Amanda N.; Newman, Alexander M.; Hubbard, Susan S.

doi:10.15485/1601290

Title: Predicting sedimentary bedrock subsurface weathering fronts and weathering rates: Dataset

Dataset
Other Related Research

Abstract

Although bedrock weathering strongly influences water quality and global carbon and nitrogen budgets, the weathering depths and rates within subsurface are not well understood nor predictable. Determination of both porewater chemistry and subsurface water flow are needed in order to develop more complete understanding and obtain weathering rates. In a long-term field study, we applied a multiphase approach along a mountainous watershed hillslope transect underlain by marine shale. Here we report three findings. First, the deepest extent of the water table determines the weathering front, and the range of annually water table oscillations determines the thickness of the weathering zone. Below the lowest water table, permanently water-saturated bedrock remains reducing, preventing deeper pyrite oxidation. Secondly, carbonate minerals and potentially rock organic matter share the same weathering front depth with pyrite, contrary to models where weathering fronts are stratified. Thirdly, the measurements-based weathering rates from subsurface shale are high, amounting to base cation exports of about 70 kmolc ha−1 y−1, yet consistent with weathering of marine shale. Finally, by integrating geochemical and hydrological data we present a new conceptual model that can be applied in other settings to predict weathering and water quality responses to climate change.

Authors:

; Tokunaga, Tetsu K.; Williams, Kenneth H.; Brown, Wendy; Dong, Wenming; Henderson, Amanda N.; Newman, Alexander M.; Hubbard, Susan S.

Lawrence Berkeley National Laboratory

Publication Date:: Tue Jan 01 00:00:00 EST 2019

Other Number(s):: paf_302

Research Org.:: Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) (United States); Watershed Function SFA

Sponsoring Org.:: U.S. DOE > Office of Science > Biological and Environmental Research (BER)

Subject:: 54 ENVIRONMENTAL SCIENCES

Keywords:: Weathering Front; Weathering Rates; Weathering Zone; Bedrock Weathering; Water Table; Mancos Shale; East River; weathering rates ; element composition; element concentrations

Geolocation:: 39.034,-106.88|38.88,-106.88|38.88,-107.05|39.034,-107.05|39.034,-106.88

OSTI Identifier:: 1601290

DOI:: https://doi.org/10.15485/1601290

Project Location:

Citation Formats


                    Wan, Jiamin, Tokunaga, Tetsu K., Williams, Kenneth H., Brown, Wendy, Dong, Wenming, Henderson, Amanda N., Newman, Alexander M., and Hubbard, Susan S. Predicting sedimentary bedrock subsurface weathering fronts and weathering rates: Dataset.  United States: N. p., 2019. 
        Web.  doi:10.15485/1601290.

Copy to clipboard


                    Wan, Jiamin, Tokunaga, Tetsu K., Williams, Kenneth H., Brown, Wendy, Dong, Wenming, Henderson, Amanda N., Newman, Alexander M., & Hubbard, Susan S. Predicting sedimentary bedrock subsurface weathering fronts and weathering rates: Dataset.  United States.  doi:https://doi.org/10.15485/1601290

Copy to clipboard


                    Wan, Jiamin, Tokunaga, Tetsu K., Williams, Kenneth H., Brown, Wendy, Dong, Wenming, Henderson, Amanda N., Newman, Alexander M., and Hubbard, Susan S. 2019.  
"Predicting sedimentary bedrock subsurface weathering fronts and weathering rates: Dataset".  United States.  doi:https://doi.org/10.15485/1601290.  https://www.osti.gov/servlets/purl/1601290. Pub date:Tue Jan 01 00:00:00 EST 2019

Copy to clipboard


                    
@article{osti_1601290,

  title        = {Predicting sedimentary bedrock subsurface weathering fronts and weathering rates: Dataset},

  author       = {Wan, Jiamin and Tokunaga, Tetsu K. and Williams, Kenneth H. and Brown, Wendy and Dong, Wenming and Henderson, Amanda N. and Newman, Alexander M. and Hubbard, Susan S.},

  abstractNote = {Although bedrock weathering strongly influences water quality and global carbon and nitrogen budgets, the weathering depths and rates within subsurface are not well understood nor predictable. Determination of both porewater chemistry and subsurface water flow are needed in order to develop more complete understanding and obtain weathering rates. In a long-term field study, we applied a multiphase approach along a mountainous watershed hillslope transect underlain by marine shale. Here we report three findings. First, the deepest extent of the water table determines the weathering front, and the range of annually water table oscillations determines the thickness of the weathering zone. Below the lowest water table, permanently water-saturated bedrock remains reducing, preventing deeper pyrite oxidation. Secondly, carbonate minerals and potentially rock organic matter share the same weathering front depth with pyrite, contrary to models where weathering fronts are stratified. Thirdly, the measurements-based weathering rates from subsurface shale are high, amounting to base cation exports of about 70 kmolc ha−1 y−1, yet consistent with weathering of marine shale. Finally, by integrating geochemical and hydrological data we present a new conceptual model that can be applied in other settings to predict weathering and water quality responses to climate change.},

  doi          = {10.15485/1601290},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Jan 01 00:00:00 EST 2019},

  month        = {Tue Jan 01 00:00:00 EST 2019}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.15485/1601290

Save / Share:

Export Metadata

Save to My Library

Similar records in DOE Data Explorer and OSTI.GOV collections:

Predicting sedimentary bedrock subsurface weathering fronts and weathering rates

Journal Article Wan, Jiamin ; Tokunaga, Tetsu K. ; Williams, Kenneth H. ; ... - Scientific Reports

Although bedrock weathering strongly influences water quality and global carbon and nitrogen budgets, the weathering depths and rates within subsurface are not well understood nor predictable. Determination of both porewater chemistry and subsurface water flow are needed in order to develop more complete understanding and obtain weathering rates. In a long-term field study, we applied a multiphase approach along a mountainous watershed hillslope transect underlain by marine shale. Here we report three findings. First, the deepest extent of the water table determines the weathering front, and the range of annually water table oscillations determines the thickness of the weathering zone. Below the lowestmore »« less
Cited by 22
Bedrock weathering rates, reactive nitrogen influxes and effluxes, and nitrous oxide emissions rates from the Pumphouse Hillslope, East River Watershed, Colorado

Dataset Wan, Jiamin ; Tokunaga, Tetsu ; Williams, Kenneth H. ; ...

Atmospheric nitrous oxide contributes directly to global warming, yet models of the nitrogen cycle do not account for bedrock, the largest pool of terrestrial nitrogen, as a source of nitrous oxide. Although it is known that release rates of nitrogen from bedrock are large, there is an incomplete understanding of the connection between bedrock-hosted nitrogen and atmospheric nitrous oxide. Here, we quantify nitrogen fluxes and mass balances at a hillslope underlain by marine shale. We found that at this site bedrock weathering contributes 78% of the subsurface reactive nitrogen, while atmospheric sources (commonly regarded as the sole sources of reactivemore »« less
Dataset for Evaluation of Extreme Weather Impacts on Utility-Scale Photovoltaic Plant Performance in the United States

Dataset Gunda, Thushara ; Jackson, Nicole

This dataset is a fusion of three data types (operations and maintenance tickets, weather data, and production data) that was used to support machine learning analysis and evaluation of drivers for low performance at photovoltaic (PV) sites during compound, extreme weather events. After being processed with machine learning, the data was used in the "Evaluation of Extreme Weather Impacts on Utility-scale Photovoltaic Plant Performance in the United States" manuscript. Additional details are captured in the associated manuscript.
Aerobic respiration controls on shale weathering, Geochimica et Cosmochimica Acta, 2023: Dataset

Dataset Stolze, Lucien ; Arora, Bhavna ; Dwivedi, DIpankar ; ...

This data package was generated in order to support the development of a deep-time weathering model and to assess the coupling between shale weathering and aerobic respiration in the paper “Aerobic respiration controls on shale weathering” by Stolze et al., Geochimica et Cosmochimica Acta (2023). The package contains two csv files providing the average CO2(g) concentration profiles [ppm] and mineral concentration profiles [wt%], respectively. The CO2(g) concentration profiles were measured in the vicinity of the monitoring well PLM2 between January 2018 and April 2019. The gas samples were collected in the unsaturated zone to a depth of 1.52 m. Themore »« less
Influence of hydrological, biogeochemical and temperature transients on subsurface carbon fluxes in a flood plain environment, Biogeochemistry: Dataset

Dataset Arora, Bhavna ; Bill, Markus ; Conrad, Mark ; ...

Data tables used in Arora et al. 2016b Influence of hydrological, biogeochemical and temperature transients on subsurface carbon fluxes in a flood plain environment. Biogeochemistry, 127(2-3), 367-396. Files include reactive transport model parameters describing soil physical and thermal parameters, geochemical reaction network and rate laws, as well as initial and boundary conditions. The last table documents modeling results with respect to annual carbon fluxes from the site to the river.

Similar Records