TY - GEN
T1 - Surface water quality assessment of Ganga River Basin, India using index mapping
AU - Shukla, Anoop Kumar
AU - Ojha, C. S.P.
AU - Garg, R. D.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/1
Y1 - 2017/12/1
N2 - In this paper, an effort has been made to develop a methodology to integrate the Water quality index (WQI) with geographic information system (GIS) for an effective interpretation of the quality and health status of the Ganga River basin (GRB). GRB has been taken as a case study. The physical, chemical and biological analysis has been interpreted using WQI. Based on the results of the analyses, spatial distribution maps of selected water quality parameters were prepared using GIS platform. A significant degradation in the WQ of the stations located in the lower reaches of the river basin is observed. Allahabad is the most polluted station followed by Kanpur and Varanasi. The most inferior WQ with OIP value of 4.18 (polluted class) is observed in the pre-monsoon season of 2010 at Varanasi station. The OIP based on the individual index values was estimated giving the values in terms of pollution indices.
AB - In this paper, an effort has been made to develop a methodology to integrate the Water quality index (WQI) with geographic information system (GIS) for an effective interpretation of the quality and health status of the Ganga River basin (GRB). GRB has been taken as a case study. The physical, chemical and biological analysis has been interpreted using WQI. Based on the results of the analyses, spatial distribution maps of selected water quality parameters were prepared using GIS platform. A significant degradation in the WQ of the stations located in the lower reaches of the river basin is observed. Allahabad is the most polluted station followed by Kanpur and Varanasi. The most inferior WQ with OIP value of 4.18 (polluted class) is observed in the pre-monsoon season of 2010 at Varanasi station. The OIP based on the individual index values was estimated giving the values in terms of pollution indices.
UR - https://www.scopus.com/pages/publications/85041860075
UR - https://www.scopus.com/pages/publications/85041860075#tab=citedBy
U2 - 10.1109/IGARSS.2017.8128277
DO - 10.1109/IGARSS.2017.8128277
M3 - Conference contribution
AN - SCOPUS:85041860075
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 5609
EP - 5612
BT - 2017 IEEE International Geoscience and Remote Sensing Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
Y2 - 23 July 2017 through 28 July 2017
ER -