Studies on Sediment Chemistry of River Yamuna with Special Reference to Industrial Effluents in Yamunanagar, India

Malhotra, Priyanka; Chopra, Girish; Anita, Bhatnagar

doi:10.12944/cwe.9.1.30

Cited by 6 publications

(1 citation statement)

References 5 publications

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“…3 Ecological nutrition cycles, pollutants, and water quality dynamics rely heavily on sediments. 4 Sediments constitute a significant component of the riverine body, which serve as sinks as well as a source of potentially toxic elements (PTEs). [5][6][7] As a consequence of mining, industrial activity, and construction processes, rivers have been badly polluted by potentially toxic elements (PTEs) like zinc(Zn), copper(Cu), cadmium(Cd), & lead(Pb),.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Heavy Metal Pollution Associated with Surface Sediment Contamination in the Bhima River, Karnataka, India

Chinmalli

Vijaykumar

2022

Curr. World Environ

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The quality of the sediment is negatively impacted by the concentration of potentially toxic elements (PTEs). The Bhima River, which supports a sizable population and is a significant location for agricultural production, is susceptible to PTEs pollution. In this research, we examined concentration of potentially toxic elements (PTEs) with Zinc(Zn), Copper(Cu), Iron(Fe), Manganese(Mn), Cadmium(Cd), and Lead(Pb) in sediment samples collected from eight different chosen sites near temples where rituals are performed, close to farming activities, bridge structures, and sewage sludge dumping areas during the period of October 2020 to September 2021. PTEs were detected using Atomic Absorption Spectrophotometry (AAS). The obtained results have been out into succeeding arrangement Fe>Mn>Cu>Zn>Pb>Cd. To evaluate the pollution status, the geo accumulation index (Igeo), enrichment ratio (ER), and pollution load index (PLI) were used for measuring sediment contamination. ER values for Cu, Mn, Pb, and Cd were greater than 5, indicating a significant level of contamination by these metals. The ER demonstrated that high Cd was present at almost all sampling sites. Cu had the greatest Igeo values at the S3 site, while Cd had the highest Igeo values in all the sites. According to the PLI, site S4 was more polluted. This evidence points to a lithogenic effect on the river's metal contamination. Cu, Mn, and Cd concentrations are expected to have a negative impact on benthic organisms. Furthermore, principal component analysis and cluster analysis discovered as agricultural run-off, bridge building, lead battery use, and sewage sludge were the leading causes of sediment quality degradation in the research area. It is vital to monitor the PTEs concentration in this sediment regularly because of its long-term effect.

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Section: Introductionmentioning

confidence: 99%

Assessment of Heavy Metal Pollution Associated with Surface Sediment Contamination in the Bhima River, Karnataka, India

Chinmalli

Vijaykumar

2022

Curr. World Environ

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Accumulation of heavy metals in core sediments from Kelantan river near to Kuala Krai area as indicator of river pollution

Yusoff¹,

Halib²,

Chang³

et al. 2022

INTERNATIONAL CONFERENCE ON BIOENGINEERING AND TECHNOLOGY (IConBET2021)

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Water Quality Prediction Using Statistical Tool and Machine Learning Algorithm

Beerala¹,

Gobinath²,

Guruvare³

et al. 2020

Waste Management

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Water is the most valuable natural resource for all living things and the ecosystem. The quality of groundwater is changed due to change in ecosystem, industrialisation, and urbanisation, etc. In the study, 60 samples were taken and analysed for various physio-chemical parameters. The sampling locations were located using global positioning system (GPS) and were taken for two consecutive years for two different seasons, monsoon (Nov-Dec) and post-monsoon (Jan-Mar). In 2016-2017 and 2017-2018 pH, EC, and TDS were obtained in the field. Hardness and Chloride are determined using titration method. Nitrate and Sulphate were determined using Spectrophotometer. Machine learning techniques were used to train the data set and to predict the unknown values. The dominant elements of groundwater are as follows: Ca2, Mg2 for cation and Cl-, SO42, NO3− for anions. The regression value for the training data set was found to be 0.90596, and for the entire network, it was found to be 0.81729. The best performance was observed as 0.0022605 at epoch 223.

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Studies on Sediment Chemistry of River Yamuna with Special Reference to Industrial Effluents in Yamunanagar, India

Cited by 6 publications

References 5 publications

Assessment of Heavy Metal Pollution Associated with Surface Sediment Contamination in the Bhima River, Karnataka, India

Assessment of Heavy Metal Pollution Associated with Surface Sediment Contamination in the Bhima River, Karnataka, India

Accumulation of heavy metals in core sediments from Kelantan river near to Kuala Krai area as indicator of river pollution

Water Quality Prediction Using Statistical Tool and Machine Learning Algorithm

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