Providing predictive models for quality parameters of groundwater resources in arid areas of central Iran: A case study of kashan plain.

Groundwater pollution can occur due to both anthropogenic and natural causes, leading to a decline in water quality and posing a threat to human health and the environment. The pollution of ground water resources with chemical pollutants is often considered. To manage water resources sustainably, ensuring their quality and quantity is crucial. Yet, testing groundwater can be expensive and time-consuming. So, using modeling to predict the chemical parameters of groundwater resources is considered to be an efficient and economical method. In this study, we examined three models to predict groundwater quality in dry regions by using R programming language. The random forest (RF) outperformed the other models in developing predictive models for water quality. Also, the multiple linear regression (MLR) model demonstrated strong performance, particularly in predicting total hardness (TH) in Aran Va Bidgol groundwater resources. The decision tree (DT) model did well but had lower performance than the RF model in predicting quality parameters. This approach can be efficacious in the field of effective management and protection of groundwater resources and enables the assessment of risks related to water resources.

Potential toxic elements (PTEs) concentration in wheat and flour products in Iran: A probabilistic risk assessment.

The aim of This study was to assess the concentration of potential toxic elements (PTEs) in wheat, flour of Sangak, and Lavash bread samples and the possible effect of the milling process due to a depreciation of the device. Levels of PTEs in tested samples (n = 270) from 10 factories in Iran were determined by ICP-OES (inductively coupled plasma atomic emission spectrometry). In addition, the associated human health risk due to consumption of wheat, Sangak and Lavash bread flours in adults and children was estimated. In this approach, percentile 95% hazard quotient (HQ), Hazard index (HI), and Total Hazard Index (THI) was used as a symptom for endangering the consumer people health. A significant difference was detected in Ni concentration between wheat and two brands of flours i.e., Sangak and Lavash samples. The PTEs concentration order in the wheat and flour samples was Fe > Zn > Cu > Ni > Cr > Pb > As > Cd, respectively. Consistent with findings, the concentration of PTEs in all samples was less than the permitted limit set by the European Commission and JECFA committee. The non-carcinogenic and carcinogenic human health risk assessment (HRA) was calculated. Bread consumption per capita is 0.45 kg for adults and 0.27 kg for children per day. The results showed that both adults and children groups are not at remarkable health risk for PTEs at mean HQ, HI, THI <1 and ELCR <10E-4, but for HRA at the percentile 95% showed there is HRA of non-carcinogenic and carcinogenic disease for children group (HQ, HI, THI >1 and ELCR >10E-4).

An ontology-based study on water quality: probabilistic risk assessment of exposure to fluoride and nitrate in Shiraz drinking water, Iran using fuzzy multi-criteria group decision-making models.

World Health Organization reports that 2.2 million people die yearly from insufficient sanitary drinking water. This ontology-based study focused on investigating the chemical quality of drinking water through a new water quality index designed by fuzzy multi-criteria group decision-making methods, merged with GIS, and, secondly, surveying non-carcinogenic risk assessment of fluoride and nitrate using Monte Carlo simulation and sensitivity analysis in Shiraz's water sources. F-, NO3-, NO2-, EC, TDS, alkalinity, TH, SO42-, Cl-, and Na were applied in the WQI. The NO3- mean concentrations were 23.15 and 27.66 mg/L in the cold and warm seasons, while the mean concentrations of fluoride were 0.50 and 0.46 mg/L during the cold and warm period. The 95th centiles of fluoride's HQs among infants, children, teenagers, and adults were 0.56, 0.7, 0.49, and 0.4, respectively, in the cold season, which was 0.65 and 0.81, respectively, 0.57 and 0.46 for mentioned groups in the warm season. In comparison, the 95th centiles of nitrate's HQs among infants, children, teenagers, and adults were 1.27, 1.59, 1.13, and 0.9, respectively. The HQs were more than 1 for infants, children, and teenagers, so nitrate can have various adverse effects, whereas fluoride does not adversely affect all aging groups in both seasons. Also, nitrate concentration can increase the non-carcinogenic risk, which the IR and ED lead to the HQ increasing. In contrast, BW has a negative effect on risk increasing. Overall, source management of these parameters can significantly reduce the concentration of nitrate and their adverse human health effect.