Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Smitom Swapna Borah"'
Publikováno v:
Ecological Indicators, Vol 122, Iss , Pp 107265- (2021)
The present study has been conducted for three objectives for the assessment of sediment pollution loadings and their ecological risk. Firstly, the hierarchical clustering of the raw sediment dataset was carried out, which categorized the sampling lo
Externí odkaz:
https://doaj.org/article/f95fb19c28984a39b37f205789e3a093
Publikováno v:
Water Practice and Technology. 15:973-992
The present study uses four Environmetrics tools: hierarchical cluster analysis (HCA), discriminant analysis (DA), principal component analysis (PCA), and positive matrix factorization (PMF) for the assessment of water quality and geochemistry of Dee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8706464a2c59868292c4e6734431babb
https://doi.org/10.2166/wpt.2020.078
https://doi.org/10.2166/wpt.2020.078
Publikováno v:
Environmental Degradation: Monitoring, Assessment and Treatment Technologies ISBN: 9783030941475
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e5a668085f2094e4718ac44d5b17563
https://doi.org/10.1007/978-3-030-94148-2_9
https://doi.org/10.1007/978-3-030-94148-2_9
Publikováno v:
Water Practice and Technology. 13:893-908
The aim of this study was application of multivariate statistical techniques – e.g., hierarchical cluster analysis (HCA), principal component analysis (PCA) and discriminant analysis (DA) – to analyse significant sources affecting water quality i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb3365e6f739a8102ada4d3e348ef25a
https://doi.org/10.2166/wpt.2018.098
https://doi.org/10.2166/wpt.2018.098
Publikováno v:
Lecture Notes in Civil Engineering ISBN: 9789811509896
In this study, an attempt has been made to monitor the water quality of the Brahmaputra river by analysing two major parameters, viz., DO and BOD by plotting various curves to determine the seasonal as well as the spatially variation of the parameter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fbd599b312862ba9265333afc3e1d28
https://doi.org/10.1007/978-981-15-0990-2_37
https://doi.org/10.1007/978-981-15-0990-2_37
Publikováno v:
Ecological Indicators, Vol 122, Iss, Pp 107265-(2021)
The present study has been conducted for three objectives for the assessment of sediment pollution loadings and their ecological risk. Firstly, the hierarchical clustering of the raw sediment dataset was carried out, which categorized the sampling lo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9f63e75cab5ebc9d35ae6ea9779a3a0
https://doi.org/10.1016/j.ecolind.2020.107265
https://doi.org/10.1016/j.ecolind.2020.107265
Publikováno v:
Ecological Indicators. 114:106291
The present study is a first of its kind on the sediment contamination in Deepor Beel, which makes use of source apportionment receptor modelling technique {positive matrix factorization (PMF)} for determining and quantifying the sources’ contribut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97b504f4ab7c4e4ff967a3d9ff050d4b
https://doi.org/10.1016/j.ecolind.2020.106291
https://doi.org/10.1016/j.ecolind.2020.106291
Publikováno v:
Ecological Modelling. 416:108907
Eutrophication of lakes and wetlands, resulting from the discharge of excess nutrients, has become a matter of primary concern. The entire ecology of a eutrophic wetland gets severely affected due to the substantial degradation of its water quality.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84dfaa33ce2d0136ad2e8cb4ecdae567
https://doi.org/10.1016/j.ecolmodel.2019.108907
https://doi.org/10.1016/j.ecolmodel.2019.108907
Publikováno v:
Ecological Indicators. 106:105444
In the present study, spatial and temporal variability of the heavy metals were investigated for Deepor Beel, India and a modified indexing approach for heavy metal contamination was proposed based on the statistical analyses of the monitored values.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61e7a7e3801873f7740c0418c80c611a
https://doi.org/10.1016/j.ecolind.2019.105444
https://doi.org/10.1016/j.ecolind.2019.105444