Methods for integrating high-resolution land, climate, and infrastructure scenarios in a hydrologic simulation model

Sujithkumar Surendran Nair, Ryan A. McManamay, Christopher R. Derolph, Melissa Allen-Dumas

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Global alterations of the hydrologic cycle by humans have led to alarming rates of water shortages and irreversible ecosystem change. Our ability to manage water resources lies in accurately modeling water availability at scales meaningful to management. Although hydrologic models have been used to understand the implications of future climate and land cover change on regional water availability, many modeling approaches fail to integrate human infrastructures (HI) with bio-geophysical drivers to facilitate sustainable regional water resource management. This paper presents an integrated framework, inclusive of modeling and data needs, to quantify the effects of both bio-geophysical and HI influence on regional surface water hydrology. The framework enables the integration of high spatial and temporal anthropogenic alterations of water availability for identifying hot-spots and hot-moments of hydrological stresses within individual river-segments using a hydrologic simulation model, Soil and Water Analysis Tool (SWAT). • A high-resolution river network for the study region with a greater spatial granularity compared to contemporary SWAT applications attempted to account for HI. • The anthropogenic influence on water balance for each river segment was estimated using data on human infrastructures, such as water intakes, power production facilities, discharges, dams, and land transformation.

Original languageEnglish
Article number100699
JournalMethodsX
Volume7
DOIs
StatePublished - 2020

Funding

This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan ). The Laboratory Directed Research and Development at Oak Ridge National Laboratory , the US Department of Energy Biological and Environmental Research Multisector Dynamics Program provided the funding for this research. This work was conducted by employees of UT Battelle, LLC under Contract No. DE-AC05-00OR22725 with the US Department of Energy. We sincerely thank April Morton for her assistance with modeling high-resolution energy and water demand estimates. The Laboratory Directed Research and Development at Oak Ridge National Laboratory, the US Department of Energy Biological and Environmental Research Multisector Dynamics Program provided the funding for this research. This work was conducted by employees of UT Battelle, LLC under Contract No. DE-AC05-00OR22725 with the US Department of Energy. We sincerely thank April Morton for her assistance with modeling high-resolution energy and water demand estimates.

FundersFunder number
US Department of Energy
US Department of Energy Biological and Environmental Research Multisector Dynamics ProgramDE-AC05-00OR22725
U.S. Department of Energy
Oak Ridge National Laboratory

    Keywords

    • Climate drivers
    • Human infrastructure
    • Integrated modeling framework
    • Regional hydrology
    • Urbanizing river basins

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