Statistical and geostatistical modelling approach for spatio-temporal assessment of river water quality: a case study from lower stretch of River Ganga
R. K. Raman,
M. Bhor,
R. K. Manna,
S. Samanta and
B. K. Das ()
Additional contact information
R. K. Raman: ICAR-Central Inland Fisheries Research Institute
M. Bhor: ICAR-Central Inland Fisheries Research Institute
R. K. Manna: ICAR-Central Inland Fisheries Research Institute
S. Samanta: ICAR-Central Inland Fisheries Research Institute
B. K. Das: ICAR-Central Inland Fisheries Research Institute
Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2023, vol. 25, issue 9, No 40, 9963-9989
Abstract:
Abstract Present study deals with the application of statistical and geostatistical modelling to analyse spatio-temporal variation in water quality of selected 466 km in the lower stretch of river Ganga (545 km). Six important physicochemical parameters, e.g. water temperature, transparency, pH, dissolved oxygen, alkalinity and specific conductivity, each of thirteen selected sites of monsoon and pre-monsoon seasons are observed for the year 2014. Statistical modelling such as factor analysis is used to identify significant variables for variation in water parameters, whereas geostatistical modelling, e.g. ordinary kriging (OK) is used for spatial distributions of the water parameters in the river. Result showed alkalinity and specific conductivity during monsoon season, while transparency, pH, dissolved oxygen and specific conductivity in pre-monsoon season correlated to maximum variation in water quality. Geostatistical modelling, ordinary kriging (OK)-based interpolation model for water parameters showed more than 85% correlation at validation sites. The generated thematic map of spatial distribution for alkalinity during monsoon season and specific conductivity in both pre-monsoon and monsoon season showed an increasing trend from northern part (upward stream) to southern part (downward stream) of the river stretch. Whereas, in case of transparency, pH and dissolved oxygen, a reverse trend was observed as they increased from southern part (downward stream) to northern part (upward stream) of the river in pre-monsoon season. This combined approach for spatio-temporal water quality assessment in River Ganga can provide useful information for researchers and policy-makers for sustainable management of lower stretch of the River Ganga.
Keywords: Water quality; Ganga; Statistical modelling; Geostatistical modelling; Ordinary kriging (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10668-022-02472-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:endesu:v:25:y:2023:i:9:d:10.1007_s10668-022-02472-7
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/10668
DOI: 10.1007/s10668-022-02472-7
Access Statistics for this article
Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development is currently edited by Luc Hens
More articles in Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().