A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Hydro-physico-chemical Grouping of Cachar Paper Mill Effluents in Assam Using Multivariate Statistical Model
Abstract Effluents from the paper mill are highly toxic and are one of the major sources of aquatic pollution. Their toxic nature is derived from the presence of several naturally occurring and xenobiotic compounds, which are formed and released during various stages of papermaking. In the present study, mill effluents are collected from three different stations around the Cachar paper mill (CPM) in Assam and samples are analyzed for 17 parameters such as appearance, color, odour, conductivity, total dissolved solids, pH, total alkalinity, hardness (total and Ca), chloride, nitrite, BOD and COD along with the heavy metals As, Cu, Cd, Cr, Fe, Pb and Zn. The results are compared with water quality standards prescribed by World Health Organization. Multivariate statistical analyses are performed on data sets obtained to gain a better understanding of the nature of each parameter in the sampling stations. The results show variation amongst stations that may be due to spatial variations amongst them. The results from this study can be used for water quality monitoring purposes.
Hydro-physico-chemical Grouping of Cachar Paper Mill Effluents in Assam Using Multivariate Statistical Model
Abstract Effluents from the paper mill are highly toxic and are one of the major sources of aquatic pollution. Their toxic nature is derived from the presence of several naturally occurring and xenobiotic compounds, which are formed and released during various stages of papermaking. In the present study, mill effluents are collected from three different stations around the Cachar paper mill (CPM) in Assam and samples are analyzed for 17 parameters such as appearance, color, odour, conductivity, total dissolved solids, pH, total alkalinity, hardness (total and Ca), chloride, nitrite, BOD and COD along with the heavy metals As, Cu, Cd, Cr, Fe, Pb and Zn. The results are compared with water quality standards prescribed by World Health Organization. Multivariate statistical analyses are performed on data sets obtained to gain a better understanding of the nature of each parameter in the sampling stations. The results show variation amongst stations that may be due to spatial variations amongst them. The results from this study can be used for water quality monitoring purposes.
Hydro-physico-chemical Grouping of Cachar Paper Mill Effluents in Assam Using Multivariate Statistical Model
Dey, Sangeeta (author) / Choudhury, Manabendra Dutta (author) / Das, Suchismita (author)
2018-01-01
11 pages
Article/Chapter (Book)
Electronic Resource
English
Paper mill effluent , Physico-chemical parameters , Multivariate statistics Environment , Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution , Urban Ecology , Hydrology/Water Resources , Water Policy/Water Governance/Water Management , Climate Change/Climate Change Impacts , Urban Geography / Urbanism (inc. megacities, cities, towns)
Condition Assessment and Failure Probability of Existing Bridges in the Cachar District, Assam
| Springer Verlag | 2020
Landslides at Chandighat Tea Estate of Cachar District, Assam-A Case Study
| British Library Conference Proceedings | 2000
| DOAJ | 2022