[Data Set] EFPC-HydrolProc - WaterQuality

Brooks, Scott; Miller, Carrie; Riscassi, Ami (ORCID:0000000317677459); Lowe, Kenneth; Dickson, Johnbull (ORCID:0000000329167368); Schwartz, Grace (ORCID:0000000156871882)

doi:10.12769/1664390

DOE OSTI · 1664390

[Data Set] EFPC-HydrolProc - WaterQuality

Brooks, Scott·Miller, Carrie·Riscassi, Ami (ORCID:0000000317677459)·Lowe, Kenneth·Dickson, Johnbull (ORCID:0000000329167368)·Schwartz, Grace (ORCID:0000000156871882)

View original source ↗Read source document ↗Export metadata ↓

Abstract

These water quality data were collected as part of our long-term monitoring efforts in East Fork Poplar Creek

Explore related subjects

East Fork Poplar Creek

Keep this discovery

Explore connections, maps & timelines

BibTeX RIS

Brooks, Scott, Miller, Carrie, Riscassi, Ami (ORCID:0000000317677459), Lowe, Kenneth, Dickson, Johnbull (ORCID:0000000329167368), Schwartz, Grace (ORCID:0000000156871882). 2020-09-24. [Data Set] EFPC-HydrolProc - WaterQuality. https://doi.org/10.12769/1664390

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related reports

DOE OSTI2021

Model-Data for Joint Estimation of Biogeochemical Model Parameters from Multiple Experiments: A Bayesian Approach Applied to Mercury Methylation

This modeling archive supports the manuscript submitted for publication in the Environmental Modeling and Software. This study is supported by ORNL-SFA and IDEAS-Watershed. This study aims to improve calibration of complex biogeochemical models using datasets from multiple experiments targeting specific subprocesses. The proposed Bayesian joint-fitting scheme calibrates the entire biogeochemical model in one go using all the available datasets and estimate parameter uncertainties using Markov Chain Monte Carlo (MCMC). This allows for complete propagation of uncertainties and utilization of the information shared between different datasets. Mapping joint distribution of parameters guides model improvement by identifying null spaces in the parameter space. This archive contains files used to perform MCMC, post-process outputs and visualize results.

East Fork Poplar Creek↗

DOE OSTI2021

Toward more mechanistic representations of biogeochemical processes in stream and river networks: Implementation and demonstration of a multiscale model : Modeling Archive

This Modeling Archive supports the ORNL-SFA and IDEAS-Waterhsed publication submitted to Environmental Modeling and Software. A recently introduced multiscale model for representing the combined effect of hyporheic exchange flows and small-scale hyporheic-zone biogeochemical processes is extended from the reach scale to river network scales. The ADELS (Advection Dispersion Equation with Lagrangian Subgrid) model uses a one-dimensional advection-dispersion-reaction equation for the channel network and couples that equation at each channel location to a one-dimensional advection-reaction subgrid model representing an ensemble of streamlines that are diverted into the hyporheic zone before returning to the channel. The subgrid model is written in a computationally advantageous Lagrangian form with hyporheic age replacing the hyporheic travel distance. In the paper, we summarized implementation in the integrated surface/subsurface hydrology modeling system Advanced Terrestrial Simulator (ATS).

East Fork Poplar Creek↗