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

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...

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Autores principales: Nair, Sujithkumar Surendran, McManamay, Ryan A., Derolph, Christopher R., Allen-Dumas, Melissa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7153296/
https://www.ncbi.nlm.nih.gov/pubmed/32300540
http://dx.doi.org/10.1016/j.mex.2019.10.010
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author Nair, Sujithkumar Surendran
McManamay, Ryan A.
Derolph, Christopher R.
Allen-Dumas, Melissa
author_facet Nair, Sujithkumar Surendran
McManamay, Ryan A.
Derolph, Christopher R.
Allen-Dumas, Melissa
author_sort Nair, Sujithkumar Surendran
collection PubMed
description 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.
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spelling pubmed-71532962020-04-16 Methods for integrating high-resolution land, climate, and infrastructure scenarios in a hydrologic simulation model Nair, Sujithkumar Surendran McManamay, Ryan A. Derolph, Christopher R. Allen-Dumas, Melissa MethodsX Environmental Science 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. Elsevier 2019-10-16 /pmc/articles/PMC7153296/ /pubmed/32300540 http://dx.doi.org/10.1016/j.mex.2019.10.010 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Environmental Science
Nair, Sujithkumar Surendran
McManamay, Ryan A.
Derolph, Christopher R.
Allen-Dumas, Melissa
Methods for integrating high-resolution land, climate, and infrastructure scenarios in a hydrologic simulation model
title Methods for integrating high-resolution land, climate, and infrastructure scenarios in a hydrologic simulation model
title_full Methods for integrating high-resolution land, climate, and infrastructure scenarios in a hydrologic simulation model
title_fullStr Methods for integrating high-resolution land, climate, and infrastructure scenarios in a hydrologic simulation model
title_full_unstemmed Methods for integrating high-resolution land, climate, and infrastructure scenarios in a hydrologic simulation model
title_short Methods for integrating high-resolution land, climate, and infrastructure scenarios in a hydrologic simulation model
title_sort methods for integrating high-resolution land, climate, and infrastructure scenarios in a hydrologic simulation model
topic Environmental Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7153296/
https://www.ncbi.nlm.nih.gov/pubmed/32300540
http://dx.doi.org/10.1016/j.mex.2019.10.010
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