Simulating hydrological response of a monsoon dominated reservoir catchment and command with heterogeneous cropping pattern using VIC model

Maza, M; Srivastava, A; Bisht, DS; Raghuwanshi, NS; Bandyopadhyay, A; Chatterjee, C; Bhadra, A

Simulating hydrological response of a monsoon dominated reservoir catchment and command with heterogeneous cropping pattern using VIC model

Maza, M Srivastava, A

Bisht, DS Raghuwanshi, NS Bandyopadhyay, A Chatterjee, C Bhadra, A

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Publisher:: INDIAN ACAD SCIENCES
Publication Type:: Journal Article
Citation:: Journal of Earth System Science, 2020, 129, (1)
Issue Date:: 2020-12-01

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Field	Value	Language
dc.contributor.author	Maza, M
dc.contributor.author	Srivastava, A https://orcid.org/0000-0002-3963-265X
dc.contributor.author	Bisht, DS
dc.contributor.author	Raghuwanshi, NS
dc.contributor.author	Bandyopadhyay, A
dc.contributor.author	Chatterjee, C
dc.contributor.author	Bhadra, A
dc.date.accessioned	2022-10-31T02:27:06Z
dc.date.available	2022-10-31T02:27:06Z
dc.date.issued	2020-12-01
dc.identifier.citation	Journal of Earth System Science, 2020, 129, (1)
dc.identifier.issn	2347-4327
dc.identifier.issn	0973-774X
dc.identifier.uri	http://hdl.handle.net/10453/163027
dc.description.abstract	Abstract: Present study assesses the effect of finer land-use classification in simulating the rainfall-runoff response of Kangsabati reservoir catchment (3,627 km2) and command (7,112 km2) by considering cropland heterogeneity in variable infiltration capacity (VIC) model. High resolution LISS-IV satellite imageries were used for the land-use classification. Global sensitivity analysis was performed using VIC-ASSIST to identify the most and least influential parameters based on the sensitivity index of elementary effects. A fully distributed calibration approach was employed using 16 (detailed) and 8 (lumped) vegetation classes. Low flows during lean periods were over-estimated and peak flows were under-estimated by both the model setups at Kangsabati reservoir site. Detailed land-use classification resulted in the reduction in streamflow over-estimation (Percent Bias (PBIAS) from −20.99 to −14.41 during calibration and from –22.83 to –7.17 during validation) at daily time step. It further demonstrates the improvement in simulating the peak flows; hence, highlighting the importance of detailed land-use classification for vegetation parameterization in VIC model setup. River discharge regulation at Kangsabati reservoir resulted in poor model performance at Mohanpur, downstream site of Kangsabati reservoir. Therefore, calibration for Mohanpur was performed after updating the VIC simulated streamflow with routed reservoir spillage using Hydrologic Engineering Center-River Analysis System (HEC-RAS) model. Streamflow updation employing HEC-RAS at Mohanpur improved the modelling efficiency (Nash–Sutcliffe efficiency (NSE) from 0.50 to 0.65 during calibration and from 0.55 to 0.67 during validation) and reduced bias (PBIAS from 6.25 to –2.23 during calibration and from 15.06 to 7.40 during validation) considerably for daily flows. Model performance with reasonable accuracy was achieved at both the calibration locations which demonstrates the potential applicability of VIC model to predict streamflow in the monsoon dominated Kangsabati reservoir catchment and command. Highlights: LISS-IV satellite imageries were classified using ground truth survey data obtained for different crop types in the study areaCrop specific vegetation parameterization was used in setting up VIC modeling frameworkModeling efficacy was assessed for two vegetation parameterization schemes using single crop type and multiple cropsGlobal sensitivity analysis and fully distributed automatic calibration was performed using VIC-ASSIST software packageUtility of HEC-RAS was shown in routing reservoir spillage to the downstream gauging point in VIC modeling framework in the absence of integrated reservoir module
dc.language	English
dc.publisher	INDIAN ACAD SCIENCES
dc.relation.ispartof	Journal of Earth System Science
dc.relation.isbasedon	10.1007/s12040-020-01468-z
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0201 Astronomical and Space Sciences, 0403 Geology, 0406 Physical Geography and Environmental Geoscience
dc.subject.classification	Geochemistry & Geophysics
dc.title	Simulating hydrological response of a monsoon dominated reservoir catchment and command with heterogeneous cropping pattern using VIC model
dc.type	Journal Article
utslib.citation.volume	129
utslib.for	0201 Astronomical and Space Sciences
utslib.for	0403 Geology
utslib.for	0406 Physical Geography and Environmental Geoscience
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
utslib.copyright.status	closed_access	*
dc.date.updated	2022-10-31T02:27:04Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	129
utslib.citation.issue	1

Abstract:

Abstract: Present study assesses the effect of finer land-use classification in simulating the rainfall-runoff response of Kangsabati reservoir catchment (3,627 km2) and command (7,112 km2) by considering cropland heterogeneity in variable infiltration capacity (VIC) model. High resolution LISS-IV satellite imageries were used for the land-use classification. Global sensitivity analysis was performed using VIC-ASSIST to identify the most and least influential parameters based on the sensitivity index of elementary effects. A fully distributed calibration approach was employed using 16 (detailed) and 8 (lumped) vegetation classes. Low flows during lean periods were over-estimated and peak flows were under-estimated by both the model setups at Kangsabati reservoir site. Detailed land-use classification resulted in the reduction in streamflow over-estimation (Percent Bias (PBIAS) from −20.99 to −14.41 during calibration and from –22.83 to –7.17 during validation) at daily time step. It further demonstrates the improvement in simulating the peak flows; hence, highlighting the importance of detailed land-use classification for vegetation parameterization in VIC model setup. River discharge regulation at Kangsabati reservoir resulted in poor model performance at Mohanpur, downstream site of Kangsabati reservoir. Therefore, calibration for Mohanpur was performed after updating the VIC simulated streamflow with routed reservoir spillage using Hydrologic Engineering Center-River Analysis System (HEC-RAS) model. Streamflow updation employing HEC-RAS at Mohanpur improved the modelling efficiency (Nash–Sutcliffe efficiency (NSE) from 0.50 to 0.65 during calibration and from 0.55 to 0.67 during validation) and reduced bias (PBIAS from 6.25 to –2.23 during calibration and from 15.06 to 7.40 during validation) considerably for daily flows. Model performance with reasonable accuracy was achieved at both the calibration locations which demonstrates the potential applicability of VIC model to predict streamflow in the monsoon dominated Kangsabati reservoir catchment and command. Highlights: LISS-IV satellite imageries were classified using ground truth survey data obtained for different crop types in the study areaCrop specific vegetation parameterization was used in setting up VIC modeling frameworkModeling efficacy was assessed for two vegetation parameterization schemes using single crop type and multiple cropsGlobal sensitivity analysis and fully distributed automatic calibration was performed using VIC-ASSIST software packageUtility of HEC-RAS was shown in routing reservoir spillage to the downstream gauging point in VIC modeling framework in the absence of integrated reservoir module

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http://hdl.handle.net/10453/163027