Construction of a novel water quality index and quality indicator for reservoir water quality evaluation: A case study in the Amazon region

被引:65
|
作者
Lobato, T. C. [1 ,2 ]
Hauser-Davis, R. A. [3 ]
Oliveira, T. F. [1 ,2 ]
Silveira, A. M. [1 ,2 ]
Silva, H. A. N. [1 ,2 ]
Tavares, M. R. M. [1 ,2 ]
Saraiva, A. C. F. [4 ]
机构
[1] Fed Univ Para, Fac Estat, Inst Ciencias Exatas & Nat, BR-66075110 Belem, PA, Brazil
[2] Fed Univ Para, Fac Ciencia Computacao, BR-66075110 Belem, PA, Brazil
[3] Pontificia Univ Catolica Rio de Janeiro, Dept Quim, Lab Bioanalit, BR-22453900 Rio De Janeiro, RJ, Brazil
[4] ELETRONORTE, Ctr Tecnol, BR-66115000 Belem, PA, Brazil
关键词
Hydrological cycle; Statistical analyses; Water quality indicator; Quality index; Amazon area; RIVER; CATCHMENTS;
D O I
10.1016/j.jhydrol.2015.01.021
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
A novel Quality Indicator (QI) and Water Quality Index (WQI) were constructed in the present study for the evaluation of the water quality of a Hydroelectric Plant reservoir in the Amazon area, Brazil, taking into account the specific characteristics of the Amazon area. Factor analyses were applied in order to select the relevant parameters to be included in the construction of both indices. Quality curves for each selected parameter were then created and the constructed QI and WQI were then applied to investigate the water quality at the reservoir. The hydrological cycle was shown by the indices to directly affect reservoir water quality, and the WQI was further useful in identifying anthropogenic impacts in the area, since water sampling stations suffering different anthropogenic impacts were categorized differently, with poorer water quality, than stations near the dam and the environmental preservation area, which suffer significantly less anthropogenic impacts, and were categorized as presenting better water quality. The constructed indices are thus helpful in investigating environmental conditions in areas that show well-defined hydrological cycles, in addition to being valuable tools in the detection of anthropogenic impacts. The statistical techniques applied in the construction of these indices may also be used to construct other indices in different geographical areas, taking into account the specificities for each area. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:674 / 683
页数:10
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