Tesis
Análise sensitiva do índice de qualidade de água IQACCME
Fecha
2012-03-29Registro en:
FINAZZI, Ana Elisa Martinelli. Análise sensitiva do índice de qualidade de água IQACCME. 2012. 104 f. Dissertação (Mestrado em Recursos Hídricos) - Universidade Federal de Mato Grosso, Faculdade de Arquitetura, Engenharia e Tecnologia, Cuiabá, 2012.
Autor
Lima, Gilson Alberto Rosa
http://lattes.cnpq.br/5112627739121210
Lima, Gilson Alberto Rosa
360.860.610-68
http://lattes.cnpq.br/5112627739121210
Zeilhofer, Peter
696.821.431-87
http://lattes.cnpq.br/1101747116364613
360.860.610-68
Calheiros, Débora Fernandes
http://lattes.cnpq.br/6343238272229162
Institución
Resumen
Assessment of water quality can be defined as the analysis of physical, chemical and
biological characteristics of water. Water quality indices aim at giving a single value to the
water quality of a source reducing great amount of water quality variables into a simpler
expression and enabling easy interpretation of monitoring data. In this sense, the water quality
index (WQI) used for assessing surface water quality are discussed. Although the standard
WQINSF is one of the most widely used water quality indices, it also has some serious
imitations. The index is employed to show, pollution caused by releases of industrial and
domestic sewage but its practical outcomes are negatively affected by a series of monitoring
constraints. Generally other then the nine core variables are monitored but not taken into
account in rating the water quality. As outlined in the report of the National Water Agency
(ANA) of Brazil, the index is not feasible to report the water quality at national level because
the majority of variables are sampled only quarterly. Only twelve Brazilians states perform
the WQINSF calculations and there are differences regarding the variable and method of
calculation between the states. The WQICCME incorporates three elements: Scope - the number
of water quality variables not meeting water quality objectives F1; Frequency - the number of
times the objectives are not met F2; and Amplitude the extent to which the objectives are not
met F3. In this context, we performed a sensitivity analysis to assess the applicability of the
WQICCME for rating water quality of Brazilian rivers. The analysis was carried at three
sampling station located at Cuiabá River representing different land usage to verify the
influence of number of variables, sampling frequency and censored data in index
classification. Regardless of the number of variables and observations used in the calculation
of the index, if F1 (scope) is constant the classification remains constant. The censored data
only play role in classification if the detection limit of the analytical method is out of the
range of water quality objectives. Results suggest that WQICCME provides a way to resolve the
non-uniformity of calculating the water quality and is a consistent procedure to report water
quality to both management practitioners and the general public.