Spatio-temporal assessment of annual water balance models for upper Ganga Basin
<p>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 yie...
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doaj-18905b13385f4b269efc58146930ab672020-11-25T00:32:15ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382018-10-01225357537110.5194/hess-22-5357-2018Spatio-temporal assessment of annual water balance models for upper Ganga BasinA. K. Shukla0S. Pathak1L. Pal2C. S. P. Ojha3A. Mijic4R. D. Garg5Department of Civil Engineering, Indian Institute of Technology Roorkee, Uttarakhand, IndiaDepartment of Civil Engineering, Indian Institute of Technology Roorkee, Uttarakhand, IndiaDepartment of Civil Engineering, Indian Institute of Technology Roorkee, Uttarakhand, IndiaDepartment of Civil Engineering, Indian Institute of Technology Roorkee, Uttarakhand, IndiaDepartment of Civil and Environmental Engineering, Imperial College London, London, UKDepartment of Civil Engineering, Indian Institute of Technology Roorkee, Uttarakhand, India<p>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.</p>https://www.hydrol-earth-syst-sci.net/22/5357/2018/hess-22-5357-2018.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
A. K. Shukla S. Pathak L. Pal C. S. P. Ojha A. Mijic R. D. Garg |
spellingShingle |
A. K. Shukla S. Pathak L. Pal C. S. P. Ojha A. Mijic R. D. Garg Spatio-temporal assessment of annual water balance models for upper Ganga Basin Hydrology and Earth System Sciences |
author_facet |
A. K. Shukla S. Pathak L. Pal C. S. P. Ojha A. Mijic R. D. Garg |
author_sort |
A. K. Shukla |
title |
Spatio-temporal assessment of annual water balance models for upper Ganga Basin |
title_short |
Spatio-temporal assessment of annual water balance models for upper Ganga Basin |
title_full |
Spatio-temporal assessment of annual water balance models for upper Ganga Basin |
title_fullStr |
Spatio-temporal assessment of annual water balance models for upper Ganga Basin |
title_full_unstemmed |
Spatio-temporal assessment of annual water balance models for upper Ganga Basin |
title_sort |
spatio-temporal assessment of annual water balance models for upper ganga basin |
publisher |
Copernicus Publications |
series |
Hydrology and Earth System Sciences |
issn |
1027-5606 1607-7938 |
publishDate |
2018-10-01 |
description |
<p>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.</p> |
url |
https://www.hydrol-earth-syst-sci.net/22/5357/2018/hess-22-5357-2018.pdf |
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