Análisis de distribución de la concentración de los metales pesados hierro y manganeso en pozos de la comuna 8 de Villavicencio-Meta

Abstract

The municipality of Villavicencio and its aqueduct service does not cover the entire urban area, which is why commune 8 presents the largest number of community aqueducts led by Community or Administrative Action Boards that were obliged to explore and exploit the land in Search for groundwater to meet your needs, because of this there is evidence of recurrent heavy metals such as Iron and Manganese, affecting the organoleptic characteristics of water causing yellow spots on clothing and household goods, but without evidencing consequences to human health, from of this problem it was proposed to analyze the distribution of the concentrations of heavy metals Iron and Manganese in the deep wells of the commune 8 of Villavicencio, by means of descriptive cartography. To carry out the execution of the project, three sampling points were analyzed, where, for each of the selected points, three samples were taken for high season and three samples for low season, for each sample heavy metal concentrations were determined Iron and Manganese, additionally established physicochemical parameters such as alkalinity and hardness (samples that were analyzed in the Santo Tomas University laboratory), conductivity, dissolved oxygen, temperature and pH were established, the latter were analyzed in the field by means of the multiparameter equipment. The concentrations obtained for the two metals studied, in high season did not exceed the levels established by Resolution 2115/2007 or by WHO (Iron: 0.3 mg / L and Manganese: 0.1 mg / L), the days analyzed during the high rainfall season at point 1 the highest values were obtained for the two metals 0.13 mg / L for manganese and 0.91 mg / L for iron. For its part, point 3 exceeded the permissible limits with an iron concentration of 0.33 mg / L during the low rainfall season. From the measured concentrations and physicochemical parameters, it was determined through Pearson's correlation analysis that there is a significant correlation (p less 0.05) between iron and conductivity. As an additional tool, distribution maps were generated, which allow the presence of heavy metals to be represented at each of the monitored points.