Spatio-temporal assessment of annual water balance models for upper Ganga Basin
File(s)
Published version
Author(s)
Type
Journal Article
Abstract
The upper Ganga Basin in Uttarakhand, India, has
high hydropower potential and plays an important role in the
development of the state economy. Thus, an accurate knowledge of annual water yield is of paramount importance to
this region. This paper deals with use of contemporary water yield estimation models such as the distributed Integrated
Valuation of Ecosystem Services and Tradeoffs (InVEST)
model and the Lumped Zhang model and their validation to
identify the most suited one for water yield estimation in the
upper Ganga Basin. In previous studies utilizing these models, water yield was estimated by considering a single value
of some important model parameters for the entire basin,
which in fact show distributed variation at a finer (pixel)
scale. Therefore, in this study, pixel-level computations are
performed to assess and ascertain the need for incorporating the spatial variation of such parameters in model applications. To validate the findings, the observed sub-basin discharge data are analyzed with the computed water yield for
4 decades, i.e., 1980, 1990, 2001 and 2015. The results obtained are in good agreement with the water yield obtained at
the pixel scale.
high hydropower potential and plays an important role in the
development of the state economy. Thus, an accurate knowledge of annual water yield is of paramount importance to
this region. This paper deals with use of contemporary water yield estimation models such as the distributed Integrated
Valuation of Ecosystem Services and Tradeoffs (InVEST)
model and the Lumped Zhang model and their validation to
identify the most suited one for water yield estimation in the
upper Ganga Basin. In previous studies utilizing these models, water yield was estimated by considering a single value
of some important model parameters for the entire basin,
which in fact show distributed variation at a finer (pixel)
scale. Therefore, in this study, pixel-level computations are
performed to assess and ascertain the need for incorporating the spatial variation of such parameters in model applications. To validate the findings, the observed sub-basin discharge data are analyzed with the computed water yield for
4 decades, i.e., 1980, 1990, 2001 and 2015. The results obtained are in good agreement with the water yield obtained at
the pixel scale.
Date Issued
2018-10-18
Date Acceptance
2018-04-05
Citation
Hydrology and Earth System Sciences, 2018, 22 (10), pp.5357-5371
ISSN
1027-5606
Publisher
Copernicus Publications
Start Page
5357
End Page
5371
Journal / Book Title
Hydrology and Earth System Sciences
Volume
22
Issue
10
Copyright Statement
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/).
the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/).
Identifier
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Subjects
Science & Technology
Physical Sciences
Geosciences, Multidisciplinary
Water Resources
Geology
MEAN ANNUAL EVAPOTRANSPIRATION
ECOSYSTEM SERVICES
BUDYKO FRAMEWORK
LOESS PLATEAU
RIVER-BASIN
LAND-USE
DATA SET
Publication Status
Published
Date Publish Online
2018-10-18