Effect of elemental composition assigned to antrotopic pollution on the quality of the water and sediment of the Marrecas river (PR, Brazil) as highlighted by multivariate statistical analyses.

In recent years, several environmental pollutants have been monitored in surface waters and sediments. However, few studies apply multivariate statistics to identify the main components and correlate them temporally and spatially. In this sense, the present study sought to monitor the quality of water and sediments in the Rio Marrecas/Brazil, through the analysis of physicochemical parameters and trace elements, as well as to identifying sources of contamination, using multivariate statistics. For this purpose, sampling was carried out in nine locations for a period of 12 months. The Total Reflection X-ray Fluorescence (TXRF) technique was used to quantify the 15 elements identified in water and sediment samples. Through multivariate statistical analyses, the most significant elements, their correlations and possible pollutant sources were defined, and the pollution index (HPI) and assessment index (HEI) of heavy metals were applied. The parameters pH and BOD5 do not comply with Brazilian legislation. Based on PCA and Spearman correlation, there was strong evidence of contamination of the water naturally, composed of the elements Ti, V, Mn, Fe, and of anthropogenic origin composed of the elements Ca, Ni, Cu, Zn. These findings provide insights to determine the impacts of heavy metals on human health and the environment.

Treatment of effluent containing thiamethoxam and efficiency evaluation of toxicity reduction.

The treatment of seeds using pesticides is a widely employed technique that generates effluents with high contamination potential. In the present study, our objective was to characterize and evaluate the toxicity of washing wastewater from corn seed treaters that contained the pesticide thiamethoxam. Effluents were treated by adsorption using several adsorbent materials, namely activated vegetable carbon, corn straw, and soybean hulls, different pH, and distinct mass concentrations for each material. The activated carbon promoted a greater reduction in the chemical oxygen demand (COD). In the coagulation-flocculation treatment, with ferric chloride (FeCl3) and poly-aluminum chloride (PAC), and using factorial planning with the concentration of FeCl3 and the sedimentation time as independent variables, the best COD removal occurred with 850 mg L-1 FeCl3 and 120 min sedimentation. The treatments C (coagulation), CACA (coagulation followed by adsorption with activated vegetable carbon), and CACS (coagulation followed by adsorption with corn straw) presented the most efficacious physicochemical parameter changes. The CACA treatment showed the best result for removing thiamethoxam. Nevertheless, raw and treated effluents showed high toxicity to the bioindicators Artemia salina L. (immobility/mortality test), Eisenia fetida (avoidance test), and Allium cepa L. (cytotoxicity test). The effluents also produced a mutagenic effect for A. cepa, due to the presence of chromosomal changes. The results demonstrated the risk that this effluent can cause to the environment. These data highlight the need to investigate new technologies to reduce the physicochemical parameters, the agrochemical levels, and, in particular, the final effluent toxicity.