Monitoring of heavy metal contamination in Netravati river basin: overview of pollution indices and risk assessment

Gayathri, S.; Krishnan, K. Anoop; Krishnakumar, A.; Maya, T. M. Vishnu; Dev, Vinu V.; Antony, Sibin; Arun, Vijayan

doi:10.1007/s40899-021-00502-2

Cited by 45 publications

(15 citation statements)

References 68 publications

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“…Journal of Nanomaterials using XSeries-2 inductive scour plasma emission mass spectrometer and 6000 Series inductive scour plasma emission spectrometer [19,20]. DTPA was used as the extractant for the extraction of the effective state of heavy metals.…”

Section: Study On Numerical Simulation Methods Formentioning

confidence: 99%

[Retracted] Numerical Simulation Method for Microbial Remediation Effect of Nano Heavy Metal Contaminated Soil

Liang

2022

Journal of Nanomaterials

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Heavy metal soil remediation is an important component in mitigating environmental problems, and microbial remediation has good treatment effect, good environmental affinity, and high treatment cost treatment efficiency. Numerical simulations of soil remediation effects enable the selection of suitable remediation methods and the determination of the optimal remediation input ratio. However, the current numerical simulation mainly relies on a single mathematical model, and the simulation error is large when applied to the microbial remediation with large variability. Numerical simulation methods of microbial remediation impacts of heavy metal contaminated soils will be investigated to overcome the foregoing problems. By researching the migratory law of heavy metal contaminated soil components, the process of microbial remediation of heavy metal contaminated soil will be examined, and a microbial proliferation model will be constructed. The numerical simulation of microbial remediation effect is realized by using HYDRUS to inverse solve the data of small laboratory tests and obtain the relevant parameters for numerical simulation. The maximum simulation error of the method studied at the time of testing was 2.1%, the simulation trend was consistent with the real remediation effect, and the simulation results were reliable. Although the simulation results of the numerical simulation method of the microbial remediation effect of heavy metal polluted soil proposed in this paper differ from actual values of the microbial remediation of heavy metals in soil, the overall trend of changes in soil heavy metal content is similar. It reveals that the outcomes of the approach investigated in this work are somewhat trustworthy when numerically modeling the effect of microbial remediation of heavy metals in soils. In other words, the numerical modeling approach utilized in this work to examine the impact of microbial remediation of heavy metal-contaminated soil is highly precise and effective.

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Section: Study On Numerical Simulation Methods Formentioning

confidence: 99%

[Retracted] Numerical Simulation Method for Microbial Remediation Effect of Nano Heavy Metal Contaminated Soil

Liang

2022

Journal of Nanomaterials

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“…Sediments act as a sinks for a significant number of toxic substances and should therefore be investigated alongside the water-phase. Sediments contain a record of previous pollution, which makes sediment analysis and important component in understanding the mineral deposits in the river basin and monitoring pollution of rivers and other water bodies elsewhere in the world (Gayathri et al, 2021;Li et al, 2018). Heavy metals immobilized in the sediment become mobilized at points exposed to the water phase (Pal and Maiti, 2020).…”

Section: Discussionmentioning

confidence: 99%

The use of water quality index and water pollution index in assessing the water quality and suitability of the river Molo water basin, Kenya

Kipsang

Kibet

Adongo

2022

EAJSTI

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Water quality assessment has become a very essential scientific procedure for qualifying water for drinking and general purpose use, and better public health policy on clean water supply. Various tools have been employed to determine the status of water systems for drinking, industrial and general use. For the purpose of this study, water quality index (WQI) and the recently developed water pollution index (WPI) have been adopted to evaluate the water of the Molo water basin. The world health organization (WHO) has defined limits of these parameters beyond which the quality of water is considered unsuitable for a specific use. The study was carried out in December, 2021 during the dry season. In this contribution, pH, conductivity, TDS, salinity, major cations and anions, and selected heavy metals were explored. Of the major cations Na reported the highest concentration at 1800 mg/L whereas in the anion category, the Cl gave the highest concentration at 110 mg/L. The highest pH, TDS and salinity were 8.5, 146.33, and 282.67, respectively. The data obtained were used to determine the water quality index (WQI) and water pollution index (WPI) of the Molo water basin based on the world health organization (WHO) standards. The average WQI obtained was 57.47 indicating that the water is slightly polluted. Also the average WPI obtained was 0.77 indicating that the water from the water basin is not of good quality. Sediment morphology and composition was also determined using energy dispersive X-ray spectroscopy (EDS). The findings showed the presence of heavy metal pollutants of concern which include lead, manganese and copper. Therefore, with respect to WQI, WPI and sediment morphology, the water basin is significantly polluted. There is need therefore for the government and health authorities to formulate policies aimed at regulating pollution activities which may endanger the Molo water basin.

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“…The results depicted differences between two indices in which the WAWQI showed the River Sabarmati was severely contaminated, not suitable to drink, and the condition of the river was even worse during the post-monsoon season, whereas the water quality ranged from ‘fair to marginal’ according to CCMEWQI [ 42 ]. Furthermore, the water quality of another river in India, River Netravati, was studied to determine heavy metal contaminations [ 43 ]. The technique used was similar to Horvat et al and Hasan et al, where multivariate analysis was applied.…”

Section: Comparison Of Various Water Quality Monitoring Methodsmentioning

confidence: 99%

“…The analysis of total heavy metal concentrations and distributions proved that sediments were slightly contaminated with heavy metals which were due to increase in urbanization and agricultural practices, which changed the river hydrological regimes. The persistent exposure to pollutants, even at low concentrations, can cause changes in metabolic processes and changes in river community structure and thus, pose a serious threat of aquatic life [ 43 ].…”

Section: Comparison Of Various Water Quality Monitoring Methodsmentioning

confidence: 99%

Advancements in Monitoring Water Quality Based on Various Sensing Methods: A Systematic Review

Zainurin

Ismail

Mahamud³

et al. 2022

IJERPH

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Nowadays, water pollution has become a global issue affecting most countries in the world. Water quality should be monitored to alert authorities on water pollution, so that action can be taken quickly. The objective of the review is to study various conventional and modern methods of monitoring water quality to identify the strengths and weaknesses of the methods. The methods include the Internet of Things (IoT), virtual sensing, cyber-physical system (CPS), and optical techniques. In this review, water quality monitoring systems and process control in several countries, such as New Zealand, China, Serbia, Bangladesh, Malaysia, and India, are discussed. Conventional and modern methods are compared in terms of parameters, complexity, and reliability. Recent methods of water quality monitoring techniques are also reviewed to study any loopholes in modern methods. We found that CPS is suitable for monitoring water quality due to a good combination of physical and computational algorithms. Its embedded sensors, processors, and actuators can be designed to detect and interact with environments. We believe that conventional methods are costly and complex, whereas modern methods are also expensive but simpler with real-time detection. Traditional approaches are more time-consuming and expensive due to the high maintenance of laboratory facilities, involve chemical materials, and are inefficient for on-site monitoring applications. Apart from that, previous monitoring methods have issues in achieving a reliable measurement of water quality parameters in real time. There are still limitations in instruments for detecting pollutants and producing valuable information on water quality. Thus, the review is important in order to compare previous methods and to improve current water quality assessments in terms of reliability and cost-effectiveness.

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Monitoring of heavy metal contamination in Netravati river basin: overview of pollution indices and risk assessment

Cited by 45 publications

References 68 publications

[Retracted] Numerical Simulation Method for Microbial Remediation Effect of Nano Heavy Metal Contaminated Soil

[Retracted] Numerical Simulation Method for Microbial Remediation Effect of Nano Heavy Metal Contaminated Soil

The use of water quality index and water pollution index in assessing the water quality and suitability of the river Molo water basin, Kenya

Advancements in Monitoring Water Quality Based on Various Sensing Methods: A Systematic Review

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