Department of Hydraulics and Water Resources Engineering, Federal University of Minas Gerais, 6627 Antonio Carlos Avenue, Engineering Faculty, Belo Horizonte, Brazil.
Geological Survey of Brazil (SGB/CPRM), 1731 Brasil Avenue, Belo Horizonte, Brazil.
Environ Monit Assess. 2024 Jan 24;196(2):195. doi: 10.1007/s10661-024-12326-6.
This research aims to identify critical contamination points by nutrients, their possible origin (point and nonpoint sources), their spatial distribution, and possible attenuation by natural and anthropogenic processes. The study area is the Velhas River Basin, located in the Southeast Region of Brazil (17.0°-20.5° S; 43.5°-45.0°W). A historical series of water quality monitoring, land cover map, demographic and agricultural censuses, sewage treatment diagnostics, and local hydrographic networks were used to achieve the objectives. In addition, the regions were divided into incremental areas, enabling individualized analyses of each sub-basin. Descriptive statistics, seasonality, categorized data tests, agglomerative hierarchical cluster analysis, and principal component analysis were used. There was a significant contribution of nutrients in the most important urban agglomeration of the basin, resulting in peak concentrations measured at that place. Although the values were reduced by the mouth (650 km), the percentage of legislation violations remained high. The effects of punctual contamination were intensified by the low percentage of treated sewage in the basin, the absence of adequate treatment technologies to remove nutrients, and the disorderly urbanization. Furthermore, it was estimated that the nutrient load from animal husbandry is approximately 75% of the load from domestic effluents due to the high number of cattle in the basin and the low percentage of forests.
本研究旨在确定受营养物质污染的关键区域,包括其可能的来源(点源和非点源)、空间分布,以及自然和人为过程可能的衰减作用。研究区域为巴西东南部的 Velhas 河流域(17.0°-20.5° S;43.5°-45.0° W)。本研究使用了历史水质监测数据、土地覆盖图、人口和农业普查、污水处理诊断以及当地水文网络,以实现研究目标。此外,还将这些区域划分为增量区域,以便对每个子流域进行单独分析。本研究采用了描述性统计、季节性、分类数据检验、凝聚层次聚类分析和主成分分析等方法。流域内最重要的城市聚集区存在大量营养物质,导致在该地区测量到峰值浓度。尽管在河口(650 公里处)处浓度有所降低,但违法违规比例仍然很高。流域内污水处理率低,缺乏有效的去除营养物质的处理技术,以及城市化无序发展,这些因素加剧了点状污染的影响。此外,由于流域内牛的数量众多,森林覆盖率低,因此估计畜牧业产生的养分负荷约占生活污水产生的养分负荷的 75%。