Faculty of Engineering, Architecture and Urbanism and Geography, Federal University of Mato Grosso do Sul, Campo Grande, Brazil.
Environ Monit Assess. 2022 Feb 8;194(3):155. doi: 10.1007/s10661-021-09687-7.
Managing water resources in regions with scarce data, like most developing countries, is still one of the major challenges around the world. Analysis of water quality parameters can provide important information for understanding the current status of water resources and their surroundings, including the changes that have occurred over time. This study aims to evaluate the influence of preservation areas on surface water quality in the Atlantic Forest biome. For this purpose, water quality monitoring sites with a greater number of parameters and longer monitoring time, located in six basins in the Atlantic Forest region of Brazil near preservation areas, were selected. This study employs seven statistical methods, such as cluster and principal component analysis (PCA), and promotes a robust analysis of the pollution of water resources in the Atlantic Forest. The most preserved basins, with more than 87% preservation area, have lower levels of pollution. The second most degraded basin, with 56% preservation area, presents intermediate pollution levels. The most degraded basin has the highest level of pollution. The basin with the lowest area of native vegetation is considered a degraded basin. Finally, non-point sources of pollution from agricultural activities were identified as the main sources of pollution in the region. The cophenetic correlation of 0.97 indicates a good performance of the cluster analysis. In addition, the pre-tests of PCA showed the suitability of the data for performing the test (Bartlett test, < 2.2e and KMO, P= 0.7). The first principal component in the PCA, which accounts for 31.4% of the total variation, is associated with strong ammonia nitrogen and total Kjeldahl nitrogen loads, and moderate biological oxygen demand and nitrite loads. The second component, representing 13.6% of the total variation, indicates periods of self-cleaning of water resources after contamination. The results indicate the importance of maintaining preservation areas in the watershed contribution areas for the improvement of surface water quality in the Atlantic Forest.
在数据稀缺的地区(如大多数发展中国家)管理水资源仍然是全球面临的主要挑战之一。水质参数分析可为了解水资源及其周围环境的现状提供重要信息,包括随时间发生的变化。本研究旨在评估保护区域对大西洋森林生物群落地表水质的影响。为此,选择了位于巴西大西洋森林地区六个流域内的水质监测点,这些监测点具有更多参数和更长的监测时间。本研究采用了七种统计方法,如聚类和主成分分析(PCA),以对大西洋森林地区水资源污染进行稳健分析。保护程度较高(超过 87%的保护区域)的流域污染程度较低,其次是保护程度中等(56%的保护区域)的流域,污染程度最高的流域保护程度最低。被认为退化的流域具有最低水平的原生植被。最后,确定农业活动的非点源污染是该地区的主要污染源。聚合法的Cophenetic 相关性为 0.97,表明聚类分析表现良好。此外,PCA 的预测试表明数据适合进行测试(Bartlett 检验,<2.2e 和 KMO,P=0.7)。PCA 中的第一个主成分占总方差的 31.4%,与强氨氮和总凯氏氮负荷以及适度的生物需氧量和亚硝酸盐负荷有关。第二个主成分占总方差的 13.6%,表明在受到污染后,水资源有自我清洁的时期。研究结果表明,在流域汇水区保持保护区域对于改善大西洋森林地区的地表水质非常重要。