Hydrogeochemical characteristics and health risk assessment of potentially toxic elements in groundwater and their relationship with the ecosystem: case study in Tunisia

Ncibi, Kaouther; Hamed, Younes; Hadji, Riheb; Busico, Gianluigi; Benmarce, Kaddour; Missaoui, Rim; Wederni, Kkyria

doi:10.1007/s11356-022-25016-y

Cited by 11 publications

(3 citation statements)

References 60 publications

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“…One notable bene t of PLS-SEM is its capability to analyse tiny datasets, even with 30 data samples. In contrast, the traditional SEM approach requires a minimum of 200 samples to ensure the reliability of the ndings (Ncibi et al 2023). Hence, a recent investigation was conducted with the objective of establishing a correlation between the hydro-chemical characterisation, groundwater pollution, and heavy metal contamination in the vicinity of the open dumping yard.…”

Section: )mentioning

confidence: 99%

“…When the sample size is restricted or the data are not normally distributed, PLS-SEM exhibits a broader tolerance in comparison to CB-SEM (Liu et al 2022). The partial least squares (PLS) method is a sophisticated statistical technique used to describe the associations between latent variables (LVs), which are independent variables, and observable dependent variables (measurement variables, MVs) (Ncibi et al 2023). The Smart-PLS 4.0 was used to develop a formative structural equation model in order to measure the impact of various driving forces on changes in water quality.…”

Section: Partial Least-squares Structural Equation Modelling (Pls-sem)mentioning

confidence: 99%

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Analysing the factors influencing groundwater quality using the Leachate Pollution Index (LPI), Heavy Metal Pollution Index (HPI), and Partial Least Squares - Structural Equation Modelling (PLS-SEM) in the vicinity of an open dumping yard in Saduperi, Vellore, Tamil Nadu, India.

Venkatesh,

Rajkumar,

MASILAMANI

2023

Preprint

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Open dumping is the prevailing municipal solid waste (MSW) disposal technique in India. Unsanitary landfill system results in the release of leachate, a substance that has the potential to contaminate the nearby environment, including groundwater. Hence, the present study was carried out in the vicinity of the Saduperi open dumpsite, Vellore, Tamil Nadu, India, to explore the key factors that influence groundwater contamination. 18 sample wells were identified near the dumpsite and a total of 216 groundwater samples were collected between May 2021 and April 2022. These samples were categorized into four different seasons such as summer, southwest monsoon (SWM), northeast monsoon (NEM), and winter. The groundwater contamination is assessed using hydrogeochemical methods such as Piper and Gibbs diagrams. The leachate pollution index (LPI) and Heavy metal pollution index (HPI) were used to evaluate the contamination potential. The calculated LPI > 35 in all seasons indicates the prevailing poor environmental condition. It was observed that about 56% of the sampling site was affected by heavy metal concentrations such as Cd, Cr, and Ni. The HPI value was found to be more than the critical value of 100 in the 10 sampling wells for all seasons. Partial least squares-structural equation modelling (PLS-SEM) offers a novel approach to assessing the intricate link between several influencing elements and groundwater quality, in contrast to the conventional multivariate statistical technique. The PLS-SEM creates the link between Latent variables such as “IOT Parameters”, “Leachate Parameters”, “Heavy Metal” and “Groundwater Quality” which was quantified by the yield of R2 value. The R2 value of the sampling well ahead of the dumpsite and along the direction of the groundwater flow values ranging from 24.7–86.5% than the wells located behind the dumpsite are prone to get more contamination due to migration of leachate. Hence this present study shows various influencing factors that affect the groundwater quality.

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Section: )mentioning

confidence: 99%

Section: Partial Least-squares Structural Equation Modelling (Pls-sem)mentioning

confidence: 99%

Analysing the factors influencing groundwater quality using the Leachate Pollution Index (LPI), Heavy Metal Pollution Index (HPI), and Partial Least Squares - Structural Equation Modelling (PLS-SEM) in the vicinity of an open dumping yard in Saduperi, Vellore, Tamil Nadu, India.

Venkatesh,

Rajkumar,

MASILAMANI

2023

Preprint

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“…[12]. It is di cult to determine how the de nition and perception of disease by animal caregivers in uence the incidence and detection of disease [13].…”

Section: Introductionmentioning

confidence: 99%

Data Quality Management and Risk Assessment of Dairy Farming with Feed Behaviour Analysis Using Big Data Analytics with YOLOv51 Algorithm

Manibabu,

Gomathy

2024

Preprint

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Dairy farming is a vital sector of agriculture that plays a significant role in the global food supply chain. It provides essential dairy products such as milk, cheese, and yoghurt, contributing to both economic stability and food security. However, the dairy industry faces a multitude of challenges, including environmental concerns, animal health and welfare, and economic fluctuations. Amidst these challenges, optimizing dairy farm operations is crucial to ensure sustainability and profitability. The objective of this work is a comprehensive approach to address data quality management and risk assessment within the context of dairy farming, with a specific focus on feed behaviour analysis. The study begins by addressing the proliferation of big data necessitates paradigm shifts from conventional approaches in applying machine learning techniques to this huge quantity of data with varying velocity. The research proposed Apache Spark HDFS is designed to process a huge volume of data. Proper nutrition management is essential to prevent ketosis. Enhancing context across multiple scales modules was developed to rage the structures of ResNet and YOLOv5, allowing for improved extraction of contextual information from images through cross-connected semantic feature extraction modules and backbone networks. Providing a balanced diet that meets the energy requirements of the cows is important in preventing negative energy balance. Additionally, monitoring feed intake and adjusting the diet as needed can help prevent ketosis in dairy cows. This study aimed to forecast the likelihood of ketosis occurrence in dairy cows through the use of machine learning algorithms of Cascade feedforward artificial neural network. In this work, the study applies the (BOA) to the process of Stacking ensemble to generate domain-specific configurations based on non-invasive prenatal indicators of parity, body condition score, dystocia score, daily activity, daily rumination time, and season of calving, drinking time, eating time, bolus, drinking gulps, chews per minute. The simulation of this experiment is implemented using Python software. The findings exhibited the proposed algorithm positions out with an imposing accuracy rate of 95.5%, highlighting its capability for precise classifications. These findings can improve dairy farm sustainability, profitability, and the welfare of cattle, benefiting the global food supply chain.

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Assessing drinking water quality in Eloued, south-East Algeria, using the groundwater pollution index (GPI) and the synthetic pollution index (SPI) model

Zair,

Attoui,

Miloudi

et al. 2024

Environ Monit Assess

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Hydrogeochemical characteristics and health risk assessment of potentially toxic elements in groundwater and their relationship with the ecosystem: case study in Tunisia

Cited by 11 publications

References 60 publications

Analysing the factors influencing groundwater quality using the Leachate Pollution Index (LPI), Heavy Metal Pollution Index (HPI), and Partial Least Squares - Structural Equation Modelling (PLS-SEM) in the vicinity of an open dumping yard in Saduperi, Vellore, Tamil Nadu, India.

Analysing the factors influencing groundwater quality using the Leachate Pollution Index (LPI), Heavy Metal Pollution Index (HPI), and Partial Least Squares - Structural Equation Modelling (PLS-SEM) in the vicinity of an open dumping yard in Saduperi, Vellore, Tamil Nadu, India.

Data Quality Management and Risk Assessment of Dairy Farming with Feed Behaviour Analysis Using Big Data Analytics with YOLOv51 Algorithm

Assessing drinking water quality in Eloued, south-East Algeria, using the groundwater pollution index (GPI) and the synthetic pollution index (SPI) model

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