Laboratory of Ecotoxicology and Environmental Parasitology, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
Laboratory of Toxicology and Environmental Health, School of Medicine, IISPV, Universitat Rovira i Virgili, Reus, Catalonia, Spain.
Arch Environ Contam Toxicol. 2018 Aug;75(2):199-212. doi: 10.1007/s00244-017-0493-7. Epub 2018 Jan 5.
Located in the southeast of Brazil, the Pardo River Basin has a large population and an economy focused on agriculture, with a strong predominance of the sugarcane agro-industry. The purpose of the study was to assess the water quality of the Pardo River Basin under a multivariate approach using limnological parameters, metal concentrations, and indicator bacteria. Nine sampling campaigns were performed during both the dry and rainy seasons. Element concentrations were determined by inductively coupled plasma spectrometry (ICP-MS, Perkin Elmer Elan 6000). A battery of test to determine limnological parameters was performed (in situ). Total coliforms and Escherichia coli were detected and quantified using Defined Substrate Technology Colilert and multiple tube dilutions. Principal component analysis and hierarchical cluster analysis were used as multivariate exploratory analysis. In general, the results suggest the influence of rain, possible sewage discharges into the watercourse, and the input of organic matter in some sampling points in both seasons, besides the absence of riparian vegetation in much of the Pardo River. The likely influence of industrial activities that do not have great prominence in the region was supported by temporal/spatial assessment of Cr and V. The water quality monitoring of Pardo River is an important tool for environmental management, and its continuity is indicated to obtain a consistent series of systematic data and thereby support concretely the actions of planning and controlling the use of water from the Pardo River and soil around them.
位于巴西东南部的帕多河流域人口众多,经济以农业为基础,制糖业占据主导地位。本研究旨在采用多种方法,利用湖泊学参数、金属浓度和指示菌评估帕多河流域的水质。在旱季和雨季进行了九次采样。电感耦合等离子体质谱法(ICP-MS,Perkin Elmer Elan 6000)用于测定元素浓度。进行了一系列测试来确定湖泊学参数(原位)。使用 Defined Substrate Technology Colilert 和多管稀释法检测和定量总大肠菌群和大肠杆菌。主成分分析和层次聚类分析被用作多元探索性分析。总的来说,结果表明,除了帕多河的大部分地区没有河岸植被外,降雨、可能的污水排放到水道以及两个季节中一些采样点的有机物输入都对水质产生了影响。Cr 和 V 的时空评估支持了工业活动可能的影响,尽管这些活动在该地区并不突出。帕多河流域的水质监测是环境管理的重要工具,需要持续进行,以获得一致的系统数据系列,从而为规划和控制帕多河及其周围土壤的水资源利用提供具体支持。