Imperial College London
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ProfessorWouterBuytaert

Faculty of Engineering, Department of Civil and Environmental Engineering

Professor in Hydrology and Water Resources
 
 
 
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Contact

 

+44 (0)20 7594 1329w.buytaert Website

 
 
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Assistant

 

Miss Judith Barritt +44 (0)20 7594 5967

 
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Location

 

403ASkempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Shukla:2018:10.5194/hess-22-4745-2018,
author = {Shukla, AK and Ojha, CSP and Mijic, A and Buytaert, W and Pathak, S and Garg, RD and Shukla, S},
doi = {10.5194/hess-22-4745-2018},
journal = {HYDROLOGY AND EARTH SYSTEM SCIENCES},
pages = {4745--4770},
title = {Population growth, land use and land cover transformations, and water quality nexus in the Upper Ganga River basin},
url = {http://dx.doi.org/10.5194/hess-22-4745-2018},
volume = {22},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The Upper Ganga River basin is socioeconomically the most important river basin in India and is highly stressed in terms of water resources due to uncontrolled land use and land cover (LULC) activities. This study presents a comprehensive set of analyses to evaluate the population growth, LULC transformations, and water quality nexus for sustainable development in this river basin. The study was conducted at two spatial scales: basin scale and district scale. First, population data were analyzed statistically to study demographic changes, followed by LULC change detection over the period of February–March 2001 to 2012 (Landsat 7 Enhanced Thematic Mapper Plus (ETM+) data) using remote sensing and geographical information system (GIS) techniques. Trends and spatiotemporal variations in monthly water quality parameters, viz. biological oxygen demand (BOD), dissolved oxygen (DO, measured in percentage), fluoride (F), hardness (CaCO3), pH, total coliform bacteria and turbidity, were studied using the Mann–Kendall rank test and an overall index of pollution (OIP) developed specifically for this region, respectively. A relationship was deciphered between LULC classes and OIP using multivariate techniques, viz. Pearson's correlation and multiple linear regression. From the results, it was observed that population has increased in the river basin. Therefore, significant and characteristic LULC changes were observed. The river became polluted in both rural and urban areas. In rural areas, pollution is due to agricultural practices, mainly fertilizers, whereas in urban areas it is mainly contributed from domestic and industrial wastes. Water quality degradation has occurred in the river basin, and consequently the health status of the river has also changed from acceptable to slightly polluted in urban areas. Multiple linear regression models developed for the Upper Ganga River basin could successfully predict status of the water quality, i.e., OIP, using LULC clas
AU  - Shukla,AK
AU  - Ojha,CSP
AU  - Mijic,A
AU  - Buytaert,W
AU  - Pathak,S
AU  - Garg,RD
AU  - Shukla,S
DO  - 10.5194/hess-22-4745-2018
EP  - 4770
PY  - 2018///
SN  - 1027-5606
SP  - 4745
TI  - Population growth, land use and land cover transformations, and water quality nexus in the Upper Ganga River basin
T2  - HYDROLOGY AND EARTH SYSTEM SCIENCES
UR  - http://dx.doi.org/10.5194/hess-22-4745-2018
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000444327600001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/63336
VL  - 22
ER  -
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