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The Guanabara Bay hydrographic region (GBHR) has served as a central hub for human settlement and resource utilization throughout Brazil's history. However, the region's high population density and intense industrial activity have come at a cost, leading to a significant decline in water quality. This work aimed to identify homogeneous regions in GBHR according to water quality parameters in dry and rainy periods. The following water quality monitoring variables were monitored at 49 gauge stations: total phosphorus (TP), nitrate (NO3-), dissolved oxygen (DO), hydrogenionic potential (pH), turbidity (Turb), thermotolerant coliforms (TCol), total dissolved solids (TDS), biochemical oxygen demand (BOD), water temperature (Tw), and air temperature (Ta). The statistical analysis consisted of determining principal components, cluster analysis, seasonal differences, and Spearman's correlation. The water quality parameter correlations were not expressively influenced by seasonality, but there are differences in the concentrations of these parameters in the dry and rainy periods. In the dry period, urban pressure on water quality is mainly due to fecal coliforms. The resulting clusters delimited areas under urban, agricultural, and forestry influence. Clusters located in areas with high demographic density showed high concentrations of TCol and TP, while clusters influenced by forestry and agriculture had better water quality. In the rainy season, clusters with urban influence showed problems with TCol and TP, in addition to some characteristics in each group, such as high TDS, NO3-, and BOD. Forested areas showed high DO, and clusters under agricultural influence had higher concentrations of TCol, BOD, and NO3- concerning forested regions. The troubling state of sanitation in GBHR occurs in metropolitan regions due to lack of a formal sanitation system.

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Groundwater is the main source of water for more than 2 billion people worldwide. In southern Brazil, the Crystalline Basement Aquifer System is composed of strategic groundwater reservoirs. Groundwater is mostly taken from shallow wells, and it is often used without any treatment, which poses a risk to public health. The present study aims to evaluate shallow groundwater quality and the geochemistry of shallow and deep groundwater located in the municipality of Canguçu, southern Brazil. The physicochemical and microbiological parameters of groundwater samples collected from shallow wells were monitored and analyzed using ANOVA variance analysis and water quality index (CCME WQI) approaches. Also, the results were compared with secondary data from deep wells. The monitored shallow wells had thermotolerant coliforms, Escherichia coli, pH, potassium, manganese, iron, and nitrate in disagreement with the guidelines of the World Health Organization. Moreover, variance analysis showed that the parameters temperature, dissolved oxygen, pH, chloride, and magnesium were the most influenced by seasonal variations. According to the CCME WQI, most samples had good quality (60%), 28% had fair quality, and 12% had poor quality. In addition, the field campaigns with higher precipitation rates also presented fair quality. Therefore, most of the shallow groundwater quality is affected by surface pollutants from the urban area, aggravated in rainy periods. Whereas deep groundwater is influenced by geochemistry mechanisms. The results revealed the risk of water consumption for public health and the urgent need for better maintenance of these wells and water treatment implementation.

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Impact of natural phenomena and anthropogenic activities on water quality is closely related with temperature increase and global warming. In this study, the effects of climate change scenarios on water quality forecasts were assessed through correlations, prediction algorithms, and water quality index (WQI) for tropical reservoirs. The expected trends for different water quality parameters were estimated for the 2030-2100 period in association with temperature trends to estimate water quality using historical data from a dam in Mexico. The WQI scenarios were obtained using algorithms supported by global models of representative concentration pathways (RCPs) adopted by the Intergovernmental Panel on Climate Change (IPCC). The RPCs were used to estimate water and air temperature values and extrapolate future WQI values for the water reservoir. The proposed algorithms were validated using historical information collected from 2012 to 2019 and four temperature variation intervals from 3.2 to 5.4 °C (worst forecast) to 0.9-2.3 °C (best forecast) were used for each trajectory using 0.1 °C increases to obtain the trend for each WQI parameter. Variations in the concentration (±30, ±70, and +100) of parameters related to anthropogenic activity (e.g., total suspended solids, fecal coliforms, and chemical oxygen demand) were simulated to obtain water quality scenarios for future health diagnosis of the reservoir. The results projected in the RCP models showed increasing WQI variation for lower temperature values (best forecast WQI = 74; worst forecast WQI = 71). This study offers a novel approach that integrates multiparametric statistical and WQI to help decision making on sustainable water resources management for tropical reservoirs impacted by climate change.

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The Santiago River (Jalisco) is a major waterway in western Mexico and has received considerable attention due to its severe pollution. Understanding the impact of reduced human activity on water quality in the Santiago River during the COVID-19 lockdown (April-May 2020) is critical for river management and restoration. However, there has been no published study in this context, presenting a significant knowledge gap. Hence, this study focuses on determining if the nationwide COVID-19 lockdown influenced or improved surface water quality in a 262-km stretch of the Santiago River upstream. Data for 15 water quality parameters collected during the lockdown were compared to levels obtained in 2019 (pre-lockdown), 2021 (unlock), and the previous eleven years (2009-2019). The values of turbidity, BOD, COD, TSS, f. coli, t. coli, nitrate, sulfate, and Pb decreased by 4-36%, while pH, EC, total nitrogen, and As increased by 0.3-21% during the lockdown compared to the pre-lockdown period, indicating a reduction in organic load in the river due to the temporary closure of industrial and commercial activities. An eleven-year comparison estimated a 0-38% decline in pH, TSS, COD, total nitrogen, sulfates, nitrates, and Pb. The unlock-period comparison showed a significant rise of 3-37% in all parameters except As, highlighting the potential repercussions of restoring activity along the Santiago River. Estimated water quality indices demonstrated short-term improvements in river water quality during the lockdown when compared to other time periods investigated. According to factor analysis, the main pollution sources influencing river water quality were untreated household sewage, industrial wastewater, and agricultural effluents. Overall, our analysis showed that the COVID-19-imposed lockdown improved the water quality of the Santiago River, laying the groundwork for local officials to identify pollution sources and better support environmental policies and water quality improvement plans. Supplementary Information: The online version contains supplementary material available at 10.1007/s12665-022-10430-9.

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This paper presents a new aggregation method to calculate the WQI-CCME, named stepwise aggregation method, to communicate the water quality of the São Francisco River, Brazil, a river of national expression, with more than 2700 km long. Differently from the original proposal for the WQI-CCME, the new aggregation method uses data from a single monitoring campaign, to avoid the loss of data, as many variables are not systematically measured in all monitoring campaigns. The stepwise aggregation method also requires to combine data from a minimum of four monitoring locations per section of the river, to attend the statistical requirement, a proposal already presented in the literature. After using the first four points, the next calculation requires to abandon the first point (upstream) and to include the next point (downstream), and the sequential calculation will generate the results to build the river water quality profile. In the present work, with 31 monitoring points, the stepwise aggregation method allowed to calculate the WQI-CCME for 25 sections. The stepwise method has the advantage of multiplying the number of index calculations, allowing to construct a more uniform water quality profile for a long river. The choice of using the WQI-CCME in this work, is because this index has many successful applications all over the world, favored by its flexibility of parameter selection, ease of calculation, adaptability to legal requirements of different locations and different water uses. The WQI-CCME profiles were compared with those for the WQI-CETESB, an index derived from the WQI-NSF and extensively used by the Brazilian Monitoring Programs. The comparison demonstrated similarity, only if the same number of parameters were used, but WQI-CETESB gives better water quality, similarly reported for the WQI-NSF, which systematically classify the water quality in the superior range. In this paper, the calculation of the WQI-CCME, with 38 and 20 parameters, confirmed the dependence of the WQI-CCME factors (F1, F2) on the number of variables considered. The calculation with more variables (38) gave better results for the water quality than the calculation with less variable (20). Thus, while the application of the WQI-CCME has a variety of advantages, it requires careful evaluation about the variables to use, and the objectives for the index calculation, as considered by many authors.

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Mexican Lake Chapala is used as water supply for human consumption. Consequently, water quality of this lake is of paramount importance for the lake's wellbeing. The contribution presented in this paper investigates monitoring and assessment of lake water quality using water quality index (WQI), metal chemical speciation, and multivariate statistical techniques. Descriptive statistics shows total metal concentrations undetected conferring the lake a healthy status. Dissolved Cd and Pb exceed criterion continuous concentration limit, whereas Zn is below this limit indicating that water quality is satisfactory for aquatic life. However, WQI indicates poor water quality attributed to failure of conductivity, total solids, nitrogen, and phosphates, due to industrial and agro-industrial effluents. Metal speciations indicate that the presence of low concentrations of dissolved metals reflect interactions with gills of fish through metal-biotic ligand complexes affecting water quality. Positive correlations are obtained between conductivity and nitrates, indicating that agricultural activities and fertilizer runoffs increase the conductivity and that the environmental state of lake is being altered by human activities. Factors F1 (31%), F2 (19%), and F3 (11%) represent 61% of variability; F1 and F2 corroborate the pressure exerted by pollutants related with fertilizers and agrochemicals; F3 contains Zn and Pb with positive loads attributed to influx of tourist visitors. Sites S4, S5, S6, and S9 are identified as the most environmentally affected by COD, Alk*, pH, Cl-, nitrites, phosphates, and TS. Multivariate techniques permit to conclude that environmental stress of Lake Chapala is caused by variables pertaining to agrochemical, fertilizers and municipal wastes.

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We assessed the quality of Andes-Amazonia streams in Ecuador impacted by gold mining (GM), discharges from inefficient sewage network in urban areas (UA), wastes from fish farming (FF) and from non-functional landfill (LF) and other few threats (FT). We selected three lines of evidence (LOE) that were used separately and integrated into a index: water quality (WQI) and macroinvertebrate community (AAMBI) indices and phytotoxicity tests. Streams affected by UA and LF had the lowest scores to WQI and phytotoxicity, and by GM had the lowest scores to AAMBI. Macroinvertebrate absence in GM should be considered as a warning signal of long-term mining impacts in the area. The integrated LOE index showed that sites with identified threats had 30%-53% stream quality decline compared to FT sites. The use of the selected LOE seems to be a useful tools for long-term monitoring and evaluation of this sensitive aquatic ecosystem.

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The present study evaluated the influence of land use and occupation on water quality indices (WQI); the WQI developed by the National Sanitation Foundation (NSF), the WQI adapted by the Environmental Company of the São Paulo State (CETESB), WQI proposed by Bascarón and the Canadian Council of Ministers of the Environment (CCME) WQI, obtained for watersheds located in the Eastern Water Planning and Management Region (BA). The study also analyzed the divergences and similarities of these WQI methods. Water quality data were obtained from the Monitoring Program (Monitora) of Environment and Water Resources Institute of Bahia (INEMA), covering the period from 2008 to 2015, at thirteen (13) sampling sites, with quarterly collections, as well as land use and occupation data. The influence of land use and occupation on water quality indices was assessed by principal component analysis (PCA). The PCA showed that urban and agricultural/pasture areas were influencing factors on water quality variables, such as total phosphorus, biochemical oxygen demand, total nitrogen, turbidity total residues and consequently lower WQI values in the Cachoeira watershed. Among the tested methods to evaluate the water quality of watersheds in the study area, the most similar were the NSF WQI, CETESB WQI, and Objective Bascarón WQI.

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The present study aimed to propose a water quality index (WQI) for the Federal District, Brazil, as a management tool for water resources used in irrigation. Irrigated agriculture is a sector that has been growing in the region, with a consequent demand for quality water. One strategy for assessing water quality in rural areas is to adopt monitoring programs, which generate a large amount of data that often needs to be synthesized. The use of indexes is a way of organizing data in a synthetic and easy to understand format. Although initially formulated to assess the quality of drinking water, it is believed that a similar logic can easily be applied to assess the quality of irrigation water. Studies that evaluate the quality of water for irrigation are very common in arid or semi-arid regions, due to the problems of saline water in the soil and crops. On the other hand, the microbiological approach to water is poorly investigated, since contamination of crops can pose a risk to food security. In this work, three water bodies were selected in rural areas due to their preponderant use: irrigation. The monitoring occurred between May 2012 and April 2013 in 9 sampling points. For each sample collected, 22 physical, chemical, and biological parameters were established. Principal component analysis (PCA) was used in the evaluation and selection of water quality variables to compose the WQI. From PCA, it was possible to reduce the number of parameters from 16 to 6 main ones that reflect the water resources characteristics in the region, which were pH, electrical conductivity, total hardness, sodium absorption ratio, nitrate, and Escherichia coli. Of the five classes proposed for WQI, two points were classified as "very good." The other sample points were classified as "good" and "average" for the irrigation practice. The adapted WQI proved to be a good tool in the management of the water quality of the three rivers, and it can be easily used to assess the quality of water for irrigation in the region.

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This work applied the Water Quality Index developed by the Canadian Council of Ministers of the Environment (WQI-CCME), to communicate the water quality per section of the Joanes River basin, State of Bahia, Brazil. WQI-CCME is a statistical procedure that originally requires the execution of at least four monitoring campaigns per monitoring location and the measurement of at least four parameters. This paper presents a new aggregation method to calculate the WQI-CCME because, to apply the original method in Joanes River, a huge loss of information would occur, by the fact that, the number of analyzed parameters varied between the monitoring campaigns developed by the Government Monitoring Program. This work modified the original aggregation method replacing it by a data aggregation for a single monitoring campaign, in a minimum of four monitoring locations per section of the river and a minimum of four parameters per monitoring location. Comparison between the calculation of WQI-CCME for river sections, with the index, WQI-CETESB, developed by the Brazilian Environmental Sanitation and Technology Company-CETESB, proved the applicability of the new aggregation method. The WQI-CETESB has it bases on the WQI from the National Sanitation Foundation and uses nine fixed parameters. As WQI-CCME uses the totality of the analyzed parameters without restrictions, it is more flexible, and the results seem more adequate to indicate the real river water quality. However, the WQI-CCME has a more stringent water quality scale in comparison with the WQI-CETESB, resulting in inferior water quality information. In conclusion, the WQI-CCME with a new aggregation method is adequate for communicating the water quality at a given time, per section of a river, respecting the minimum number of four analyses and four monitoring points. As a result, without a need to wait for other campaigns, it reduces the cost of a monitoring program and the period to communicate the water quality. The adequacy of the WQI-CCME was similar to the finding of others.

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RESUMO Este trabalho tem como objetivo avaliar a qualidade da água do riacho São Caetano, de Balsas (MA), com base na resolução CONAMA nº 357/2005. Os parâmetros físicos, químicos e microbiológicos foram analisados e o Índice de Qualidade da Água (IQA) foi determinado. Os dados classificam riacho como ambiente impactado, com características eutróficas. No geral, a contaminação da água por coliformes termotolerantes está acima dos padrões estabelecidos para águas de classe 2, e os valores de IQA são indicativos de que a água possui qualidade regular. Também foram observadas ações antrópicas negativas nas margens do riacho, um indicativo de que há necessidade urgente de medidas de preservação.

ABSTRACT This study aims to assess the water quality of São Caetano creek, in Balsas (MA), based on the CONAMA Resolution No. 357/2005. The physical, chemical and microbiological parameters were analyzed, and the Water Quality Index (WQI) was determined. The data classify creek as an impacted environment, with eutrophic characteristics. In general, the water contamination by fecal coliform is above the standards set for Class 2 waters, and the WQI values are indicative of regular quality waters. Also, there were observed negative anthropic actions at the margins of the creek, an indication that there is an urgent need for conservation measures.

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The South American Atlantic rainforest is a one-of-a-kind ecosystem considered as a biodiversity hotspot; however, in the last decades, it was intensively reduced to 7 % of its original surface. Water resources and water quality are one of the main goods and services this system provides to people. For monitoring and management recommendations, the present study is focused on (1) determining the nutrient content (nitrate, nitrite, ammonium, and phosphate) and physiochemical parameters (temperature, pH, electrical conductivity, turbidity, dissolved oxygen, and total dissolved solids) in surface water from 24 rainforest mountain rivers in Argentina, (2) analyzing the human health risk, (3) assessing the environmental distribution of the determined pollutants, and (4) analyzing water quality indices (WQIobj and WQImin). In addition, for total coliform bacteria, a dataset was used from literature. Turbidity, total dissolved solids, and nitrite (NO2 (-)) exceeded the guideline value recommended by national or international guidelines in several sampling stations. The spatial distribution pattern was analyzed by Principal Component Analysis and Factor Analysis (PCA/FA) showing well-defined groups of rivers. Both WQI showed good adjustment (R (2) = 0.89) and rated water quality as good or excellent in all sampling sites (WQI > 71). Therefore, this study suggests the use of the WQImin for monitoring water quality in the region and also the water treatment of coliform, total dissolved solids, and turbidity.

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Water is increasingly becoming a valuable resource, constituting one of the central themes of environmental, economic and social discussions. The Sinos River, located in southern Brazil, is the main river from the Sinos River Basin, representing a source of drinking water supply for a highly populated region. Considering its size and importance, it becomes necessary to conduct a study to follow up the water quality of this river, which is considered by some experts as one of the most polluted rivers in Brazil. As for this study, its great importance lies in the historical analysis of indicators. In this sense, we sought to develop aspects related to the management of water resources by performing a historical analysis of the Water Quality Index (WQI) of the Sinos River, using statistical methods. With regard to the methodological procedures, it should be pointed out that this study performs a time analysis of monitoring data on parameters related to a punctual measurement that is variable in time, using statistical tools. The data used refer to analyses of the water quality of the Sinos River (WQI) from the State Environmental Protection Agency Henrique Luiz Roessler (Fundação Estadual de Proteção Ambiental Henrique Luiz Roessler, FEPAM) covering the period between 2000 and 2008, as well as to a theoretical analysis focusing on the management of water resources. The study of WQI and its parameters by statistical analysis has shown to be effective, ensuring its effectiveness as a tool for the management of water resources. The descriptive analysis of the WQI and its parameters showed that the water quality of the Sinos River is concerning low, which reaffirms that it is one of the most polluted rivers in Brazil. It should be highlighted that there was an overall difficulty in obtaining data with the appropriate periodicity, as well as a long complete series, which limited the conduction of statistical studies such as the present one.(AU)

A água, cada vez mais, está se tornando um recurso valioso, aparecendo como um dos eixos centrais das discussões ambientais, econômicas e sociais. O Rio dos Sinos, localizado na região Sul do Brasil, é o principal rio que compõe a Bacia Hidrográfica do Rio dos Sinos, sendo fonte de abastecimento de água potável de uma região extremamente povoada. Tendo em vista sua dimensão e importância, se faz necessário um estudo para acompanhar a qualidade da água deste rio, que por alguns estudiosos, é considerado um dos rios mais poluídos do Brasil. Este estudo tem na análise histórica de indicadores, sua grande importância. Nesse sentido, objetivou-se desenvolver aspectos de gestão de Recursos Hídricos, mediante a análise histórica do Índice de Qualidade das Águas - IQA do Rio dos Sinos RS, através de métodos estatísticos. Quanto aos procedimentos metodológicos, destaca-se que este estudo, utiliza a análise temporal de dados de monitoramento de parâmetros ligados a uma medição pontual variante no tempo, utilizando ferramentas estatísticas. Os dados utilizados provêm da FEPAM (Fundação Estadual de Proteção Ambiental Henrique Luiz Roessler), no período de 2000 a 2008, de análises sobre a qualidade da água do Rio dos Sinos (Índice da Qualidade da Água), assim como uma análise teórica, na perspectiva da gestão de recursos hídricos. O estudo de índices de qualidade da água (IQA) e dos parâmetros que o compõe, mediante a análise estatística, demonstrou-se eficaz, garantindo sua efetividade na utilização como ferramenta de gestão dos Recursos Hídricos. Mediante a análise descritiva dos parâmetros e do IQA, observou-se que o Rio dos Sinos, apresenta condições de qualidade das águas em um índice inferior preocupante, reafirmando que, este é um dos rios mais poluídos do Brasil. Destaca-se, de uma forma geral, a dificuldade de obtenção de dados com uma periodicidade adequada, assim como uma série longa completa, sendo estes, limitantes para a realização ...(AU)

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The Sinos River Basin (SRB) is located in the northeastern region of the state of Rio Grande do Sul (29º20' to 30º10'S and 50º15' to 51º20'W), southern Brazil, and covers two geomorphologic provinces: the southern plateau and the central depression. It is part of the Guaíba basin, has an area of approximately 800 km 2 and contains 32 counties. The basin provides drinking water for 1.6 million inhabitants in one of the most important industrial centres in Brazil. This study describes different water quality indices (WQI) used for the sub-basins of three important streams in the SRB: Pampa, Estância Velha/Portão and Schmidt streams. Physical, chemical and microbiological parameters assessed bimonthly using samples collected at each stream source were used to calculate the Horton Index (HI), the Dinius Index (DI) and the water quality index adopted by the US National Sanitation Foundation (NSF WQI) in the additive and multiplicative forms. These indices describe mean water quality levels at the streams sources. The results obtained for these 3 indexes showed a worrying scenario in which water quality has already been negatively affected at the sites where three important sub-basins in the Sinos River Basin begin to form.(AU)

A Bacia Hidrográfica do Rio dos Sinos (BHRS) está localizada na região Nordeste do Estado do Rio Grande do Sul (29º20' to 30º10'S and 50º15' to 51º20'W), na região Sul do Brasil, envolvendo duas regiões geomorfológicas, o planalto Sul e a depressão central. Esta bacia faz parte da Bacia do Guaíba e tem uma área de aproximadamente 800 km 2, atingindo 32 municípios. A BHRS fornece água de abastecimento para cerca de 1.6 milhões de habitantes e para um dos mais importantes centros industriais do Brasil. Este artigo apresenta a determinação de diferentes índices de qualidade de água (IQA) para as regiões de nascente de três importantes sub-bacias pertencentes à BHRS: arroios Pampa, Estância Velha/Portão e Schmidt. Utilizando parâmetros físicos, químicos e microbiológicos, analisados em amostras coletadas bimestralmente em cada ponto próximo à nascente, foram calculados os índices de Horton (IH), de Dinius (ID) e o índice de qualidade de água da National Sanitation Foundation, EUA (IQANSF) usando os métodos somatório e produtório. Os resultados foram analisados para verificação da qualidade da água nos pontos amostrais a fim de comparar e classificar a água na região das nascentes das três sub-bacias. Uma avaliação conjunta dos índices calculados indicou que a água nos três pontos amostrais apresenta qualidade média. Os resultados dos três índices convergem a um cenário preocupante que indica que, desde os pontos iniciais de formação de três importantes sub-bacias do rio dos Sinos, já ocorrem problemas de qualidade de água.(AU)

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p>Water is increasingly becoming a valuable resource, constituting one of the central themes of environmental, economic and social discussions. The Sinos River, located in southern Brazil, is the main river from the Sinos River Basin, representing a source of drinking water supply for a highly populated region. Considering its size and importance, it becomes necessary to conduct a study to follow up the water quality of this river, which is considered by some experts as one of the most polluted rivers in Brazil. As for this study, its great importance lies in the historical analysis of indicators. In this sense, we sought to develop aspects related to the management of water resources by performing a historical analysis of the Water Quality Index (WQI) of the Sinos River, using statistical methods. With regard to the methodological procedures, it should be pointed out that this study performs a time analysis of monitoring data on parameters related to a punctual measurement that is variable in time, using statistical tools. The data used refer to analyses of the water quality of the Sinos River (WQI) from the State Environmental Protection Agency Henrique Luiz Roessler (Fundação Estadual de Proteção Ambiental Henrique Luiz Roessler, FEPAM) covering the period between 2000 and 2008, as well as to a theoretical analysis focusing on the management of water resources. The study of WQI and its parameters by statistical analysis has shown to be effective, ensuring its effectiveness as a tool for the management of water resources. The descriptive analysis of the WQI and its parameters showed that the water quality of the Sinos River is concerning low, which reaffirms that it is one of the most polluted rivers in Brazil. It should be highlighted that there was an overall difficulty in obtaining data with the appropriate periodicity, as well as a long complete series, which limited the conduction of statistical studies such as the present one. /p>

p>A água, cada vez mais, está se tornando um recurso valioso, aparecendo como um dos eixos centrais das discussões ambientais, econômicas e sociais. O Rio dos Sinos, localizado na região Sul do Brasil, é o principal rio que compõe a Bacia Hidrográfica do Rio dos Sinos, sendo fonte de abastecimento de água potável de uma região extremamente povoada. Tendo em vista sua dimensão e importância, se faz necessário um estudo para acompanhar a qualidade da água deste rio, que por alguns estudiosos, é considerado um dos rios mais poluídos do Brasil. Este estudo tem na análise histórica de indicadores, sua grande importância. Nesse sentido, objetivou-se desenvolver aspectos de gestão de Recursos Hídricos, mediante a análise histórica do Índice de Qualidade das Águas - IQA do Rio dos Sinos RS, através de métodos estatísticos. Quanto aos procedimentos metodológicos, destaca-se que este estudo, utiliza a análise temporal de dados de monitoramento de parâmetros ligados a uma medição pontual variante no tempo, utilizando ferramentas estatísticas. Os dados utilizados provêm da FEPAM (Fundação Estadual de Proteção Ambiental Henrique Luiz Roessler), no período de 2000 a 2008, de análises sobre a qualidade da água do Rio dos Sinos (Índice da Qualidade da Água), assim como uma análise teórica, na perspectiva da gestão de recursos hídricos. O estudo de índices de qualidade da água (IQA) e dos parâmetros que o compõe, mediante a análise estatística, demonstrou-se eficaz, garantindo sua efetividade na utilização como ferramenta de gestão dos Recursos Hídricos. Mediante a análise descritiva dos parâmetros e do IQA, observou-se que o Rio dos Sinos, apresenta condições de qualidade das águas em um índice inferior preocupante, reafirmando que, este é um dos rios mais poluídos do Brasil. Destaca-se, de uma forma geral, a dificuldade de obtenção de dados com uma periodicidade adequada, assim como uma série longa completa, sendo estes, limitantes para a realização de estudos estatísticos como este. /p>

RESUMO

p>The Sinos River Basin (SRB) is located in the northeastern region of the state of Rio Grande do Sul (29º20' to 30º10'S and 50º15' to 51º20'W), southern Brazil, and covers two geomorphologic provinces: the southern plateau and the central depression. It is part of the Guaíba basin, has an area of approximately 800 km sup>2 /sup> and contains 32 counties. The basin provides drinking water for 1.6 million inhabitants in one of the most important industrial centres in Brazil. This study describes different water quality indices (WQI) used for the sub-basins of three important streams in the SRB: Pampa, Estância Velha/Portão and Schmidt streams. Physical, chemical and microbiological parameters assessed bimonthly using samples collected at each stream source were used to calculate the Horton Index (HI), the Dinius Index (DI) and the water quality index adopted by the US National Sanitation Foundation (NSF WQI) in the additive and multiplicative forms. These indices describe mean water quality levels at the streams sources. The results obtained for these 3 indexes showed a worrying scenario in which water quality has already been negatively affected at the sites where three important sub-basins in the Sinos River Basin begin to form. /p>

p>A Bacia Hidrográfica do Rio dos Sinos (BHRS) está localizada na região Nordeste do Estado do Rio Grande do Sul (29º20' to 30º10'S and 50º15' to 51º20'W), na região Sul do Brasil, envolvendo duas regiões geomorfológicas, o planalto Sul e a depressão central. Esta bacia faz parte da Bacia do Guaíba e tem uma área de aproximadamente 800 km sup>2 /sup>, atingindo 32 municípios. A BHRS fornece água de abastecimento para cerca de 1.6 milhões de habitantes e para um dos mais importantes centros industriais do Brasil. Este artigo apresenta a determinação de diferentes índices de qualidade de água (IQA) para as regiões de nascente de três importantes sub-bacias pertencentes à BHRS: arroios Pampa, Estância Velha/Portão e Schmidt. Utilizando parâmetros físicos, químicos e microbiológicos, analisados em amostras coletadas bimestralmente em cada ponto próximo à nascente, foram calculados os índices de Horton (IH), de Dinius (ID) e o índice de qualidade de água da National Sanitation Foundation, EUA (IQANSF) usando os métodos somatório e produtório. Os resultados foram analisados para verificação da qualidade da água nos pontos amostrais a fim de comparar e classificar a água na região das nascentes das três sub-bacias. Uma avaliação conjunta dos índices calculados indicou que a água nos três pontos amostrais apresenta qualidade média. Os resultados dos três índices convergem a um cenário preocupante que indica que, desde os pontos iniciais de formação de três importantes sub-bacias do rio dos Sinos, já ocorrem problemas de qualidade de água. /p>

RESUMO

The Sinos River Basin (SRB) is located in the northeastern region of the state of Rio Grande do Sul (29º20' to 30º10'S and 50º15' to 51º20'W), southern Brazil, and covers two geomorphologic provinces: the southern plateau and the central depression. It is part of the Guaíba basin, has an area of approximately 800 km 2 and contains 32 counties. The basin provides drinking water for 1.6 million inhabitants in one of the most important industrial centres in Brazil. This study describes different water quality indices (WQI) used for the sub-basins of three important streams in the SRB: Pampa, Estância Velha/Portão and Schmidt streams. Physical, chemical and microbiological parameters assessed bimonthly using samples collected at each stream source were used to calculate the Horton Index (HI), the Dinius Index (DI) and the water quality index adopted by the US National Sanitation Foundation (NSF WQI) in the additive and multiplicative forms. These indices describe mean water quality levels at the streams sources. The results obtained for these 3 indexes showed a worrying scenario in which water quality has already been negatively affected at the sites where three important sub-basins in the Sinos River Basin begin to form.

A Bacia Hidrográfica do Rio dos Sinos (BHRS) está localizada na região Nordeste do Estado do Rio Grande do Sul (29º20' to 30º10'S and 50º15' to 51º20'W), na região Sul do Brasil, envolvendo duas regiões geomorfológicas, o planalto Sul e a depressão central. Esta bacia faz parte da Bacia do Guaíba e tem uma área de aproximadamente 800 km 2, atingindo 32 municípios. A BHRS fornece água de abastecimento para cerca de 1.6 milhões de habitantes e para um dos mais importantes centros industriais do Brasil. Este artigo apresenta a determinação de diferentes índices de qualidade de água (IQA) para as regiões de nascente de três importantes sub-bacias pertencentes à BHRS: arroios Pampa, Estância Velha/Portão e Schmidt. Utilizando parâmetros físicos, químicos e microbiológicos, analisados em amostras coletadas bimestralmente em cada ponto próximo à nascente, foram calculados os índices de Horton (IH), de Dinius (ID) e o índice de qualidade de água da National Sanitation Foundation, EUA (IQANSF) usando os métodos somatório e produtório. Os resultados foram analisados para verificação da qualidade da água nos pontos amostrais a fim de comparar e classificar a água na região das nascentes das três sub-bacias. Uma avaliação conjunta dos índices calculados indicou que a água nos três pontos amostrais apresenta qualidade média. Os resultados dos três índices convergem a um cenário preocupante que indica que, desde os pontos iniciais de formação de três importantes sub-bacias do rio dos Sinos, já ocorrem problemas de qualidade de água.

Assuntos

RESUMO

Water is increasingly becoming a valuable resource, constituting one of the central themes of environmental, economic and social discussions. The Sinos River, located in southern Brazil, is the main river from the Sinos River Basin, representing a source of drinking water supply for a highly populated region. Considering its size and importance, it becomes necessary to conduct a study to follow up the water quality of this river, which is considered by some experts as one of the most polluted rivers in Brazil. As for this study, its great importance lies in the historical analysis of indicators. In this sense, we sought to develop aspects related to the management of water resources by performing a historical analysis of the Water Quality Index (WQI) of the Sinos River, using statistical methods. With regard to the methodological procedures, it should be pointed out that this study performs a time analysis of monitoring data on parameters related to a punctual measurement that is variable in time, using statistical tools. The data used refer to analyses of the water quality of the Sinos River (WQI) from the State Environmental Protection Agency Henrique Luiz Roessler (Fundação Estadual de Proteção Ambiental Henrique Luiz Roessler, FEPAM) covering the period between 2000 and 2008, as well as to a theoretical analysis focusing on the management of water resources. The study of WQI and its parameters by statistical analysis has shown to be effective, ensuring its effectiveness as a tool for the management of water resources. The descriptive analysis of the WQI and its parameters showed that the water quality of the Sinos River is concerning low, which reaffirms that it is one of the most polluted rivers in Brazil. It should be highlighted that there was an overall difficulty in obtaining data with the appropriate periodicity, as well as a long complete series, which limited the conduction of statistical studies such as the present one.

A água, cada vez mais, está se tornando um recurso valioso, aparecendo como um dos eixos centrais das discussões ambientais, econômicas e sociais. O Rio dos Sinos, localizado na região Sul do Brasil, é o principal rio que compõe a Bacia Hidrográfica do Rio dos Sinos, sendo fonte de abastecimento de água potável de uma região extremamente povoada. Tendo em vista sua dimensão e importância, se faz necessário um estudo para acompanhar a qualidade da água deste rio, que por alguns estudiosos, é considerado um dos rios mais poluídos do Brasil. Este estudo tem na análise histórica de indicadores, sua grande importância. Nesse sentido, objetivou-se desenvolver aspectos de gestão de Recursos Hídricos, mediante a análise histórica do Índice de Qualidade das Águas - IQA do Rio dos Sinos – RS, através de métodos estatísticos. Quanto aos procedimentos metodológicos, destaca-se que este estudo, utiliza a análise temporal de dados de monitoramento de parâmetros ligados a uma medição pontual variante no tempo, utilizando ferramentas estatísticas. Os dados utilizados provêm da FEPAM (Fundação Estadual de Proteção Ambiental Henrique Luiz Roessler), no período de 2000 a 2008, de análises sobre a qualidade da água do Rio dos Sinos (Índice da Qualidade da Água), assim como uma análise teórica, na perspectiva da gestão de recursos hídricos. O estudo de índices de qualidade da água (IQA) e dos parâmetros que o compõe, mediante a análise estatística, demonstrou-se eficaz, garantindo sua efetividade na utilização como ferramenta de gestão dos Recursos Hídricos. Mediante a análise descritiva dos parâmetros e do IQA, observou-se que o Rio dos Sinos, apresenta condições de qualidade das águas em um índice inferior preocupante, reafirmando que, este é um dos rios mais poluídos do Brasil. Destaca-se, de uma forma geral, a dificuldade de obtenção de dados com uma periodicidade adequada, assim como uma série longa completa, sendo estes, limitantes para a realização ...

Assuntos

RESUMO

The Sinos River Basin (SRB) is located in the northeastern region of the state of Rio Grande do Sul (29º20' to 30º10'S and 50º15' to 51º20'W), southern Brazil, and covers two geomorphologic provinces: the southern plateau and the central depression. It is part of the Guaíba basin, has an area of approximately 800 km² and contains 32 counties. The basin provides drinking water for 1.6 million inhabitants in one of the most important industrial centres in Brazil. This study describes different water quality indices (WQI) used for the sub-basins of three important streams in the SRB: Pampa, Estância Velha/Portão and Schmidt streams. Physical, chemical and microbiological parameters assessed bimonthly using samples collected at each stream source were used to calculate the Horton Index (HI), the Dinius Index (DI) and the water quality index adopted by the US National Sanitation Foundation (NSF WQI) in the additive and multiplicative forms. These indices describe mean water quality levels at the streams sources. The results obtained for these 3 indexes showed a worrying scenario in which water quality has already been negatively affected at the sites where three important sub-basins in the Sinos River Basin begin to form.

A Bacia Hidrográfica do Rio dos Sinos (BHRS) está localizada na região Nordeste do Estado do Rio Grande do Sul (29º20' to 30º10'S and 50º15' to 51º20'W), na região Sul do Brasil, envolvendo duas regiões geomorfológicas, o planalto Sul e a depressão central. Esta bacia faz parte da Bacia do Guaíba e tem uma área de aproximadamente 800 km², atingindo 32 municípios. A BHRS fornece água de abastecimento para cerca de 1.6 milhões de habitantes e para um dos mais importantes centros industriais do Brasil. Este artigo apresenta a determinação de diferentes índices de qualidade de água (IQA) para as regiões de nascente de três importantes sub-bacias pertencentes à BHRS: arroios Pampa, Estância Velha/Portão e Schmidt. Utilizando parâmetros físicos, químicos e microbiológicos, analisados em amostras coletadas bimestralmente em cada ponto próximo à nascente, foram calculados os índices de Horton (IH), de Dinius (ID) e o índice de qualidade de água da National Sanitation Foundation, EUA (IQANSF) usando os métodos somatório e produtório. Os resultados foram analisados para verificação da qualidade da água nos pontos amostrais a fim de comparar e classificar a água na região das nascentes das três sub-bacias. Uma avaliação conjunta dos índices calculados indicou que a água nos três pontos amostrais apresenta qualidade média. Os resultados dos três índices convergem a um cenário preocupante que indica que, desde os pontos iniciais de formação de três importantes sub-bacias do rio dos Sinos, já ocorrem problemas de qualidade de água.

Assuntos

RESUMO

A Water Quality Index (WQI) is a useful statistical tool for simplifying, reporting and interpreting complex information obtained from any body of water. A simple number given by any WQI model explains the level of water contamination. The objective was to develop a WQI for the water of the Luis L. Leon dam located in the state of Chihuahua, Mexico. Monthly water samples were obtained in 2009; January 10, February 12, March 8, May 20, June 10, July 9, August 12, September 10, October 11, November 15 and December 13. Ten sampling sites were randomly selected after dividing the study area using a geographic package. In each site, two samples at the top depth of 0.20 m and 1.0 m were obtained to quantify physical-chemical parameters. The following 11 parameters were considered to calculate the WQI; pH, Electrical Conductivity (EC), Dissolved Oxygen (DO), color, turbidity, ammonia nitrogen, fluorides, chlorides, sulfates, Total Solids (TS) and phosphorous (P). The data analysis involved two steps; a single analysis for each parameter and the WQI calculation. The resulted WQI value classified the water quality according to the following ranges: <2.3 poor water; from 2.3 to 2.8 good water; and >2.8 excellent water. The results showed that the WQI values changed from low levels (WQI < 2.3) in some points during autumn time to high levels (WQI > 2.8) most of the year and the variation was due to time of sampling generally rainy season.

Assuntos