Data and scripts associated with a manuscript on residence time distribution simulation in two 10-kilometer long river sections

Bao, Jie; Song, Xuehang; Chen, Yunxiang; Fang, Yilin; Perkins, William; Powers-McCormack, Beck; Duan, Zhuoran; Ren, Huiying

doi:10.15485/2336865

Title: Data and scripts associated with a manuscript on residence time distribution simulation in two 10-kilometer long river sections

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Abstract

This data package is associated with the publication “On the Transferability of Residence Time Distributions in Two 10-km Long River Sections with Similar Hydromorphic Units” submitted to the Journal of Hydrology (Bao et al. 2024).Quantifying hydrologic exchange fluxes (HEFs) at the stream-groundwater interface, along with their residence time distributions (RTDs) in the subsurface, is crucial for managing water quality and ecosystem health in dynamic river corridors. However, directly simulating high-spatial resolution HEFs and RTDs can be a time-consuming process, particularly for watershed-scale modeling. Efficient surrogate models that link RTDs to hydromorphic units (HUs) may serve as alternatives for simulating RTDs in large-scale models. One common concern with these surrogate models, however, is the transferability of the relationship between the RTDs and HUs from one river corridor to another. To address this, we evaluated the HEFs and the resulting RTD-HU relationships for two 10-kilometer-long river corridors along the Columbia River, using a one-way coupled three-dimensional transient surface-subsurface water transport modeling framework that we previously developed. Applying this framework to the two river corridors with similar HUs allows for quantitative comparisons of HEFs and RTDs using both statistical tests and machine learning classification models. This data package includes the model inputs filesmore »« less

Authors:

;

Pacific Northwest National Laboratory (PNNL); Pacific Northwest National Laboratory (PNNL)
Pacific Northwest National Laboratory (PNNL)

Publication Date:: Sun Dec 31 23:00:00 EST 2023

Research Org.:: Environmental System Science Data Infrastructure for a Virtual Ecosystem; River Corridor and Watershed Biogeochemistry SFA

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

Subject:: 54 ENVIRONMENTAL SCIENCES; CFD; Computational fluid dynamics; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > GROUND WATER > GROUND WATER PROCESSES/MEASUREMENTS > DISCHARGE; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format; ESS-DIVE Model Data Archiving Guidelines; HU; Hydromorphic unit; RTD; Residence time; Residence time distribution; River flow model; River water stage; Subsurface-flow model; Temperature; Transferability; Velocity

OSTI Identifier:: 2336865

DOI:: https://doi.org/10.15485/2336865

Citation Formats


                    Bao, Jie, Song, Xuehang, Chen, Yunxiang, Fang, Yilin, Perkins, William, Powers-McCormack, Beck, Duan, Zhuoran, and Ren, Huiying. Data and scripts associated with a manuscript on residence time distribution simulation in two 10-kilometer long river sections.  United States: N. p., 2023. 
        Web.  doi:10.15485/2336865.

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                    Bao, Jie, Song, Xuehang, Chen, Yunxiang, Fang, Yilin, Perkins, William, Powers-McCormack, Beck, Duan, Zhuoran, & Ren, Huiying. Data and scripts associated with a manuscript on residence time distribution simulation in two 10-kilometer long river sections.  United States.  doi:https://doi.org/10.15485/2336865

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                    Bao, Jie, Song, Xuehang, Chen, Yunxiang, Fang, Yilin, Perkins, William, Powers-McCormack, Beck, Duan, Zhuoran, and Ren, Huiying. 2023.  
"Data and scripts associated with a manuscript on residence time distribution simulation in two 10-kilometer long river sections".  United States.  doi:https://doi.org/10.15485/2336865.  https://www.osti.gov/servlets/purl/2336865. Pub date:Sun Dec 31 23:00:00 EST 2023

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@article{osti_2336865,

  title        = {Data and scripts associated with a manuscript on residence time distribution simulation in two 10-kilometer long river sections},

  author       = {Bao, Jie and Song, Xuehang and Chen, Yunxiang and Fang, Yilin and Perkins, William and Powers-McCormack, Beck and Duan, Zhuoran and Ren, Huiying},

  abstractNote = {This data package is associated with the publication “On the Transferability of Residence Time Distributions in Two 10-km Long River Sections with Similar Hydromorphic Units” submitted to the Journal of Hydrology (Bao et al. 2024).Quantifying hydrologic exchange fluxes (HEFs) at the stream-groundwater interface, along with their residence time distributions (RTDs) in the subsurface, is crucial for managing water quality and ecosystem health in dynamic river corridors. However, directly simulating high-spatial resolution HEFs and RTDs can be a time-consuming process, particularly for watershed-scale modeling. Efficient surrogate models that link RTDs to hydromorphic units (HUs) may serve as alternatives for simulating RTDs in large-scale models. One common concern with these surrogate models, however, is the transferability of the relationship between the RTDs and HUs from one river corridor to another. To address this, we evaluated the HEFs and the resulting RTD-HU relationships for two 10-kilometer-long river corridors along the Columbia River, using a one-way coupled three-dimensional transient surface-subsurface water transport modeling framework that we previously developed. Applying this framework to the two river corridors with similar HUs allows for quantitative comparisons of HEFs and RTDs using both statistical tests and machine learning classification models. This data package includes the model inputs files and the simulation results data. This data package contains 10 folders. The modeling simulation results data are in the folders 100H_pt_data and 300area_pt_data, for the study domain Hanford 100H and 300 area respectively. The remaining eight folders contain the scripts and data to generate the manuscript figures. The file-level metadata file (Bao_2024_Residence_Time_Distribution _flmd.csv) includes a list of all files contained in this data package and descriptions for each. The data dictionary file (Bao_2024_Residence_Time_Distribution _dd.csv) includes column header definitions and units of all tabular files.},

  doi          = {10.15485/2336865},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Sun Dec 31 23:00:00 EST 2023},

  month        = {Sun Dec 31 23:00:00 EST 2023}

}

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DOI: https://doi.org/10.15485/2336865

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