The zinc and lead industry generates substantial quantities of waste. Among the many types of wastes, such as dust or liquid, a large proportion are solid waste such as slags. The purpose of the study was the qualitative and quantitative assessment of the short rotary kiln slags and slags deposited in a hazardous waste landfill originating from zinc and lead metallurgy. This assessment represents the primary step in evaluating materials such as slags concerning their potential for substantial applications, such as process for metal separation. Additionally, this evaluation forms the basis for a comprehensive environmental study. The concentrations of the four predominant metals – Fe>Pb>Zn>Cu – and accompanying elements – Na>Ca>K>Ni>Mn>Cr – were determined using atomic absorption spectroscopy (AAS) after aqua regia digestion. A large variation was found in the phase analysis of the studied materials based on SEM, XRD, X-ray microanalysis, and BCR sequential extraction. The BCR analysis revealed the occurrence of major metals in four different fractions: acid-soluble, reducible, oxidizable, and residual. Pb was mainly present in the acid-soluble fraction, while Fe, Cu, and Zn were present in the residual fraction.

This work describes the behaviour of organic pollutants along the wadi Mouillah watercourse and its main tributaries and their impacts on the Hammam Boughrara dam, located in the NW of Algeria, in the Wilaya of Tlemcen. The use of a database relating to physico-chemical, biotic and hydrological variables, covering the period from January 2006 to December 2009, contributed to the understanding of the spatiotemporal evolution of each variable. The application of a mathematical model of the diffusion by convection-dispersion with a reaction on two characteristic parameters of organic pollution, the biochemical oxygen demand (BOD ₅) which records values above the norm, with peaks that can reach 614%, and total phosphorus (P _tot), which the concentration is always higher with maxima reaching 53 mg∙dm ^–3 favouring eutrophication; this made it possible with precision to synthesise the propagation of pollutants in the liquid mass. The results obtained on the waters of Wadi Mouillah are therefore of poor quality; there is a need to set up a rigorous water quality monitoring system, with water treatment and decontamination devices to preserve the water resources. This will allow to contribute to better management of water quality in terms of combating the spread of pollution. Therefore, they can be used to support decisions in the context of sustainable development.

Recently, simultaneous monitoring of process mean and variability has gained increasing attention. By departing from the accurate measurements assumption, this paper investigates the effect of gauge measurement errors on the performance of the maximum generally weighted moving average (Max-GWMA) chart for simultaneous monitoring of process mean and variability under an additive covariate model. Multiple measurements procedure is employed to compensate for the undesired impact of gauge inaccuracy on detection capability of the Max- GWMA chart. Simulation experiments in terms of average run length (ARL) are conducted to assess the power of the developed chart to detect different out-of-control scenarios. The results confirm that the gauge inaccuracy affects the sensitivity of the Max-GWMA chart. Moreover, the results show that taking multiple measurements per item adequately decreases the adverse effect of measurement errors. Finally, a real-life example is presented to demonstrate how measurement errors increases the false alarm rate of the Max-GWMA chart.