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首页> 外文期刊>Brazilian Journal of Biology >Spatial patterns of water quality in Xingu River Basin (Amazonia) prior to the Belo Monte dam impoundment
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Spatial patterns of water quality in Xingu River Basin (Amazonia) prior to the Belo Monte dam impoundment

机译:贝洛蒙特水坝蓄水之前新谷河流域(亚马逊)的水质空间格局

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Abstract The Xingu River, one of the most important of the Amazon Basin, is characterized by clear and transparent waters that drain a 509.685 km2 watershed with distinct hydrological and ecological conditions and anthropogenic pressures along its course. As in other basins of the Amazon system, studies in the Xingu are scarce. Furthermore, the eminent construction of the Belo Monte for hydropower production, which will alter the environmental conditions in the basin in its lower middle portion, denotes high importance of studies that generate relevant information that may subsidize a more balanced and equitable development in the Amazon region. Thus, the aim of this study was to analyze the water quality in the Xingu River and its tributaries focusing on spatial patterns by the use of multivariate statistical techniques, identifying which water quality parameters were more important for the environmental changes in the watershed. Data sampling were carried out during two complete hydrological cycles in twenty-five sampling stations. The data of twenty seven variables were analyzed by Spearman's correlation coefficients, cluster analysis (CA), and principal component analysis (PCA). The results showed a high auto-correlation between variables ( 0.7). These variables were removed from multivariate analyzes because they provided redundant information about the environment. The CA resulted in the formation of six clusters, which were clearly observed in the PCA and were characterized by different water quality. The statistical results allowed to identify a high spatial variation in the water quality, which were related to specific features of the environment, different uses, influences of anthropogenic activities and geochemical characteristics of the drained basins. It was also demonstrated that most of the sampling stations in the Xingu River basin showed good water quality, due to the absence of local impacts and high power of depuration of the river itself.
机译:摘要新姑河是亚马孙河流域最重要的河流之一,其特征是清澈透明的水流排放了509.685 km2的分水岭,流域水文和生态条件不同,人为压力也很大。像亚马逊河系统的其他盆地一样,新谷地区的研究很少。此外,用于水力发电的贝洛蒙泰(Belo Monte)的杰出建筑将改变盆地中下部的环境条件,这表明研究产生相关信息的高度重要性,这些信息可能会补贴亚马逊地区更平衡,更公平的发展。 。因此,本研究的目的是通过使用多元统计技术来分析新谷河及其支流的水质,着重于空间格局,确定哪些水质参数对流域的环境变化更重要。在25个采样站的两个完整的水文循环中进行了数据采样。通过Spearman相关系数,聚类分析(CA)和主成分分析(PCA)分析了27个变量的数据。结果表明变量之间的自相关性很高(> 0.7)。这些变量已从多变量分析中删除,因为它们提供了有关环境的冗余信息。 CA导致形成了六个簇,这些簇在PCA中清晰可见,并具有不同的水质特征。统计结果可以确定水质的高空间变化,这与环境的特定特征,不同用途,人为活动的影响以及流域的地球化学特征有关。研究还表明,由于没有当地影响和河流本身的强大净化能力,新姑河流域的大多数采样站水质良好。

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