Hydrological Analysis Using Observed and Satellite-Based Estimates: Case Study of a Lake Catchment in Raipur, India

Kumari, N; Srivastava, A; Kumar, S

Hydrological Analysis Using Observed and Satellite-Based Estimates: Case Study of a Lake Catchment in Raipur, India

Kumari, N Srivastava, A

Kumar, S

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Publisher:: Springer
Publication Type:: Journal Article
Citation:: Journal of the Indian Society of Remote Sensing, 2021, 50, (1), pp. 115-128
Issue Date:: 2021-01-01

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Field	Value	Language
dc.contributor.author	Kumari, N
dc.contributor.author	Srivastava, A https://orcid.org/0000-0002-3963-265X
dc.contributor.author	Kumar, S
dc.date.accessioned	2022-03-27T23:19:35Z
dc.date.available	2022-03-27T23:19:35Z
dc.date.issued	2021-01-01
dc.identifier.citation	Journal of the Indian Society of Remote Sensing, 2021, 50, (1), pp. 115-128
dc.identifier.issn	0255-660X
dc.identifier.issn	0974-3006
dc.identifier.uri	http://hdl.handle.net/10453/155617
dc.description.abstract	Rainfall plays an essential role in different water management sectors ranging from industries, farming, livestock, and domestic utilization both in rural and urban areas. The surface water bodies like rivers, lakes, ponds, and reservoirs hold a huge proportion of the rainfall. However, due to spatio-temporal variability of rainfall and limited availability of meteorological stations, accurate estimation of the hydrological components such as surface runoff, evaporation, and baseflow is a challenging task. In this study, we have used hydrological information, Soil Conservation Service Curve Number method to develop an empirical relationship between rainfall and runoff in the Telibandha Lake Catchment (TLC), situated in Raipur district of Chhattisgarh, central India. Further, we have used Landsat derived remote sensing product, Normalized Difference Water Index (NDWI) to understand its temporal variation of water spread in the TLC over the fifteen years (2001–2015). The water spread areas are assessed by using the mean monthly NDWI data set and analyzing its seasonal and annual patterns. It is found that Telibandha Lake has a maximum depth of 2.9 m and its surface area is 0.12 km2. Apart from that, the annual runoff is around 232.28 mm, which accounts for almost 22% of the estimated rainfall. The monthly runoff coefficient varies from 0 to 0.25 in TLC. Both the temporal and spatial NDWI plots show that July–September months have high NDWI values in the TLC. The seasonal NDWI showed a good relationship with mean monthly rainfall data and depicts r2 = 0.78. The findings from this study helps in determining the temporal changes of water spread within the TLC and supports in understanding the lake characteristics.
dc.language	en
dc.publisher	Springer
dc.relation.ispartof	Journal of the Indian Society of Remote Sensing
dc.relation.isbasedon	10.1007/s12524-021-01463-x
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0406 Physical Geography and Environmental Geoscience, 0801 Artificial Intelligence and Image Processing, 0909 Geomatic Engineering
dc.subject.classification	Geological & Geomatics Engineering
dc.title	Hydrological Analysis Using Observed and Satellite-Based Estimates: Case Study of a Lake Catchment in Raipur, India
dc.type	Journal Article
utslib.citation.volume	50
utslib.for	0406 Physical Geography and Environmental Geoscience
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	0909 Geomatic Engineering
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	*
pubs.consider-herdc	false
dc.date.updated	2022-03-27T23:19:31Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	50
utslib.citation.issue	1

Abstract:

Rainfall plays an essential role in different water management sectors ranging from industries, farming, livestock, and domestic utilization both in rural and urban areas. The surface water bodies like rivers, lakes, ponds, and reservoirs hold a huge proportion of the rainfall. However, due to spatio-temporal variability of rainfall and limited availability of meteorological stations, accurate estimation of the hydrological components such as surface runoff, evaporation, and baseflow is a challenging task. In this study, we have used hydrological information, Soil Conservation Service Curve Number method to develop an empirical relationship between rainfall and runoff in the Telibandha Lake Catchment (TLC), situated in Raipur district of Chhattisgarh, central India. Further, we have used Landsat derived remote sensing product, Normalized Difference Water Index (NDWI) to understand its temporal variation of water spread in the TLC over the fifteen years (2001–2015). The water spread areas are assessed by using the mean monthly NDWI data set and analyzing its seasonal and annual patterns. It is found that Telibandha Lake has a maximum depth of 2.9 m and its surface area is 0.12 km2. Apart from that, the annual runoff is around 232.28 mm, which accounts for almost 22% of the estimated rainfall. The monthly runoff coefficient varies from 0 to 0.25 in TLC. Both the temporal and spatial NDWI plots show that July–September months have high NDWI values in the TLC. The seasonal NDWI showed a good relationship with mean monthly rainfall data and depicts r2 = 0.78. The findings from this study helps in determining the temporal changes of water spread within the TLC and supports in understanding the lake characteristics.

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http://hdl.handle.net/10453/155617