Riparian communities in the Amazon suffer from water-borne diseases due to the lack of adequate water treatment capabilities. Therefore, small local water treatment plants are necessary, but the selection of treatment procedures depends largely on the physico-chemical characteristics of the water. The aim of the present research was to evaluate the physico-chemical characteristics of the water in the Amazon River and its tributaries, in order to determine customized processes for water treatment. Data from 54 fluviometric monitoring stations were organized and used to construct distribution maps. The parameters such as pH, electrical conductivity, and the concentration of suspended matter, turbidity and flow rates were evaluated. Results showed that pH was very acidic (4–5) in the northwestern portion of the region while conductivity was quite low in the entire Amazonian region (<140 μS cm−1). Both parameters were strongly influenced by geological settings and sources of organic matter. Suspended matter and turbidity were affected by weathering processes. It was concluded that considering the acidity of the waters, mechanical procedures like filtration or slow settling should be applied to remove suspended matter rather than chemical procedures. For disinfection, instead of chemicals, solar energy should be applied.

In spite of the astronomical amount of water in the Amazon River, riparian communities do not have ready access to potable water because of the complete absence of sanitation infrastructure along the river (Binsztok et al. 2009). These communities consist mainly of dispersed agglomerations of about 120 inhabitants each (Sousa 2009), located in remote areas with few financial or technological resources. Water treatment systems and pipelines, and even connection to electricity networks, are simply not possible in such regions. Potable water and electricity must therefore be produced locally within the community. Electricity is, in fact, produced with small gasoline generators, but water is seldom treated, and people drink raw water directly from the river. These unsanitary practices result, as might be expected, in poor health outcomes within these rural communities.

Regardless of the fact that individual riparian communities are small human groups, together these rural groups, who depend on the Amazon River watershed, add up to more than four million people (IBGE 2010).

In a recent paper, Gama et al. (2018) carried out a health survey in 24 riparian communities of the Solimões Basin, with an average population of 168 inhabitants (ranging from 75 to 422), located at an average of 57 km from any urban center. In their study, they found that 77.4% of the population complained of health problems, but because health facilities were distant, only 25.2% ever visited a medical provider. The authors also established that the human development index was very low (0.587), comparable to countries like Zambia, Equatorial Guinea and Ghana. The authors showed that water is obtained from rivers, lakes, groundwater and sometimes directly collected from rainwater, and is treated by only 72.2% of the population (simply by the application of sodium hypochlorite). Also, there was no indication of the presence of sewage treatment systems, engendering a high incidence of severe diarrheic diseases.

Considering the unsanitary state of riparian communities in the Amazon region, the development of small water treatment plants with simple technologies and low maintenance requirements is highly advisable. Many purification techniques exist, but the most widespread is the application of aluminum sulfate for flocculation/coagulation and disinfection with chlorine. However, the choice of water purification procedures should consider the chemistry of the available raw water, because the expected chemical reactions may not work in some situations. For instance, in the Western Amazon, black rivers present acidic waters (Horbe & Santos 2009), and treatment with aluminum sulfate may promote aluminum dissolution instead of flocculation of particles. In these waters, which are rich with humic substances (Ertel et al. 1986; Oliveira et al. 2007), the disinfection agent chlorine may react with the organic matter and form trihalomethanes (THMs) as by-products (Pifer & Fairey 2014). The main issue for populations drinking aluminum-rich water is the proven risk of cognitive decline (Yang et al. 2017). Besides, THM (acetone)-rich waters have been shown to be correlated with bladder cancer (Nieuwenhuijsen et al. 2009).

Other aspects that should be considered when choosing cleaning and disinfecting techniques to produce potable water in riparian communities are the availability of drinking-grade reagents and the capability of the community to continually carry out the necessary maintenance of the system. For instance, contaminated reagents may pollute the water, exposing communities to unacceptable doses. Giroussi et al. (1996) showed that commercial aluminum sulfate may be contaminated with Cd (22 μg g−1) and Hg (1.0 μg g−1). Wasserman et al. (2018) showed that water treatment plant sludge piles may be severely contaminated with mercury from the chemicals used for disinfection.

In a recent study, Pandit & Kumar (2015) reviewed a number of water treatment procedures that could be used in remote communities, including solar disinfection, filtration, hybrid filtration, treatment of harvested rainwater, herbal water disinfection and the application of innovative water treatment devices like plant xylem as filters, terafilters and hand pumps. All these techniques may be adequate for developing countries, but the type of water where they are to be applied must be taken into consideration to identify the most healthful procedures for that particular situation.

The identification of types of water in the Amazon is the first step in the development of a regional policy for safer water treatment procedures. The aim of the present work was to construct distribution maps of the water quality in the Amazon region, in order to support the planning of customized processes for water treatment.

Study area

The Amazon hosts the largest tropical rain forest in the world, comprising many countries in South America (including Peru, Colombia, Ecuador, Venezuela, French Guiana, Guyana, Suriname, Bolivia and Brazil), and thanks to its photosynthetic capacity of CO2 transformation into O2; this forest is commonly referred to as the lungs of the planet Earth. Although the destruction of the rainforest is critical for plantation owners and cattle ranchers, the decline of the environmental conditions affects traditional communities (Indians included), whose survival is based on their access to natural resources. These populations tend to live close to the rivers where transportation is easier, and water is largely available. Most of them have migrated from northeast Brazil and from the south, searching for new opportunities and inexpensive land, where they intended to develop small-scale agriculture and cattle ranches.

Although the climate of the Amazon is recognized as humid tropical, considering the extension of the region, there is broad variability. Using Koppen's classification, the following types of climates can be found in the region: Af (humid tropical or equatorial), Am (monsoon) and Aw (tropical, with a dry season in the winter). The average rainfall in the Amazon is 2,300 mm year−1, ranging from 1,700 to 3,500 mm year−1.

In order to understand the water quality distribution in the Amazon Basin, it is important to analyze the regional geology. A more detailed description of the regional geology and morphostructure of the Amazon was proposed by Stallard & Edmond (1983), who identified the main geological features: Andean Shield (divided into Western Cordillera, Subandean Trough, Intercordilleran Zone and Eastern Cordillera), Amazon Trough, Guiana Shield and Brazilian Shield. Although the Andean Shield was not included in the present research, Merschel et al. (2017) underlined its importance in establishing the dissolved and particulate mineral composition of the downstream waters. On the other hand, these authors state that Brazilian and Guiana Shield rivers yield organic-rich waters.

Most of the Andean geology is dominated by Cenozoic and Mesozoic volcanic rock. Extensive areas also present Mesozoic and Paleozoic sediments, whose composition is dominated by oxidized shales, sandstones, carbonates and evaporites. In the lower Paleozoic sediments, dark shales, sandstones and carbonates are abundant. The Guiana Shield was shown to have an older geology, composed mainly of Precambrian granitic rocks. After Stallard & Edmond (1983), Precambrian metamorphic rocks associated with Precambrian intrusive rocks have been largely identified in the Brazilian and Guiana Shields. In the axis of the Basin, the Amazonian Trough is mainly composed of late Tertiary and Quaternary lacustrine or marine deposits, where less intense weathering is associated with the development of ‘thick and indurated soils.’ In this region, Stallard & Edmond (1987) observed that the mineral composition of the water is controlled by geochemical processes in the Andes. In a later work, Gaillardet et al. (1997) applied elements’ relationships to show that white water rivers (Madeira and Solimões) are loaded with sediments from the Andes and also from the recycling of sediments from weathered soils.

Database

Considering that in the Andean region the networks for measuring water quality and flow rates are uneven, the study region was limited to the Brazilian Amazon Basin (Figure 1(a)). The data from the network of water quality fluviometric stations are available in the ‘Hydroweb,’ a site from the Brazilian Waters Agency that gathers the results from monitoring programs over the entire country (http://www.snirh.gov.br/hidroweb/). In the study region, we were able to find 54 fluviometric stations where measurements of water quality were carried out (Figure 1(b)). These stations had different sampling periods, from 1975 up to 2008. The number of sampling years ranged from 4.3 to 32.8 years (average 21.2 years). The number of measurements per station (all parameters confounded) was calculated in average as 404.7 (SD = 198.3).

Figure 1

(a) Map showing the Brazilian Amazon Basin with its main rivers. (b) Location of the 54 water quality monitoring stations in the Brazilian Amazon, whose data were used in the present research.

Figure 1

(a) Map showing the Brazilian Amazon Basin with its main rivers. (b) Location of the 54 water quality monitoring stations in the Brazilian Amazon, whose data were used in the present research.

Close modal

The measured parameters were water volumetric flow rate (m3 s−1), pH, conductivity (μSiemens cm−1 at 20 °C), concentration of suspended matter (mg L−1) and turbidity (FTUs – Formazin Turbidity Units). Considering that in the Amazon, a large seasonal variability affects the water quality (Oliveira et al. 2007), the data were separated into wet and dry periods. Based exclusively on rainfall, Neill et al. (2001) defined the wet period as November to May and the dry period as June to October.

Contour map preparation

Average values (for wet and dry seasons) were calculated for each station in the software Surfer® version 11 (Golden Software, Inc.), and interpolations were carried out with the kriging method. The volumetric flow rates of the rivers were presented in monthly averages for two stations (Manacapuru and Óbidos) that received most of the inputs of the Amazonas basin (Figure 1(b)). In Manacapuru, the measurements begun in 1976 and ran until October 2007 while in Óbidos the measurements began in 1975 and ran until 2000.

Variation in flow rates

Monthly average volumetric flow rates for the stations Manacapuru and Óbidos are presented in the graphs of Figure 2.

Figure 2

Average monthly volumetric flow rates (in m3 s−1) in (a) Manacapuru and (b) Óbidos.

Figure 2

Average monthly volumetric flow rates (in m3 s−1) in (a) Manacapuru and (b) Óbidos.

Close modal

In Figure 2, it can be seen that the flow rates are extremely elevated (which is normal for the largest river in the world). Considering that the average overall flow of the Amazon reaches 206,000 m3 s−1 (FAO 2016), the values presented in the graph are not so elevated, largely because the overall flow is measured in the Atlantic Ocean output of the river, whereas both stations are located well upstream. From Figure 2, it is also evident that there is not much variation in the flow rates, and although in some months there were no measurements, it can be observed that there is a phase shift between the wet and dry seasons (based on rainfall) and the higher and lower flows, because the basin is so large that it takes several weeks after major rainfall events for an increased flow rate to be detectable farther downstream. Therefore, in Manacapuru, although the wet season ends in May, the highest flow rate is observed in July. Conversely, although the dry season ends in October, the January flow rate is still low.

Distribution of the water quality parameters

The contour maps showing the distribution of water quality parameters are presented in Figures 36. The left-hand maps represent the wet season, and the right-hand maps represent the dry season.

The pH of the water in the Amazon environment has been discussed by a number of authors (e.g. Horbe et al. 2013) who have identified several factors that affect this parameter. On the one hand, the weathering patterns in some geological structures – mainly those associated with the Andean Shield – cause a higher consumption of CO2, reducing the amount of carbonic acid in the water and increasing the concentration of dissolved electrolytes (Gaillardet et al. 1997; Merschel et al. 2017). This water is more alkaline and richer in suspended matter, and it flows into the Madeira and Solimões rivers. On the other hand, waters leaching older lithologies, composed of more weathered terrains (Brazilian and Guiana Shields), yield less mineralized waters with more organic matter (Gerard et al. 2003). Examples of these water patterns can be identified in the Negro River.

The above proposed model can be identified in both maps of Figure 3, where more alkaline waters appear in the southwestern portion of the Amazon, draining from the Andean Shield. Significantly more acidic waters are observed in the northern portion – the result of the draining of extremely weathered soils with large amounts of organic matter (humic substances) gives the waters a black color. In the east, the intermediate acidic waters of the axis of the Amazon River indicate that they come from various sources, including the Solimões River, the Madeira River (both less acidic) and the Negro River (acidic). Waters draining through the Brazilian and Guiana Shields are rather acidic, because soils in these regions are intensively weathered and rich in organic matter (Stallard & Edmond 1987).

Figure 3

pH in the wet season (a) and in the dry season (b).

Figure 3

pH in the wet season (a) and in the dry season (b).

Close modal

A comparison between the two periods shows a difference of a half pH unit, more acid in dry conditions, indicating that less rainfall implies reduction of the amount of electrolytes in the Amazon waters. Ríos-Villamizar et al. (2013) observed that waters with lower conductivity drain more weathered areas and tend to display lower pH, which is also controlled by organic matter content. Hence, it can be expected that in the Amazon as a whole, periods of lower flow show lower conductivity and lower pH. This is corroborated by the water electrical conductivity data presented below.

pH is a relevant parameter in drinking water treatment systems, because chemical reactions are intensively affected by this parameter. For instance, highly acidic waters cannot be treated with the traditional coagulation/flocculation procedures, applying alum. On the other hand, during disinfection, chlorine may react with acid organic-rich waters, forming trihalomethanes (Pifer & Fairey 2014).

In general, conductivity of the Amazonian rivers, as shown in Figure 4, is quite low, ranging from close to zero to 140 μS cm−1. Differently from pH, conductivity displays a strong seasonal variability that is striking in the northwestern portion of the Amazon Basin. In fact, based on the analysis of pH behavior, it was expected that the presence of electrolytes in the solution would be fairly similar in both seasons and also similar to the distribution during the dry season (Figure 4). A possible explanation for the behavior during the wet season (Figure 4(a)) is that the presence of organic complexes displaying electrolytes in their terminal structure should attribute conductivity to the water. In a study of black-water rivers in the Amazon, Monteiro et al. (2014) observed a strong relationship between dissolved organic matter and electrical conductivity, allowing them to propose the use of this parameter as an indicator of the variability of the organic matter in ion-poor rivers (like the Negro River). Higher concentrations of dissolved organic carbon, then, can attribute higher electrical conductivity to water.

Figure 4

Conductivity (μS cm−1) in the wet season (a) and in the dry season (b).

Figure 4

Conductivity (μS cm−1) in the wet season (a) and in the dry season (b).

Close modal

Observation of the northwestern portion of the Amazon in Figure 4(b) shows that during the dry season, there must be a reduced input of dissolved organic matter, which should reduce electrical conductivity in the water (Mora et al. 2014). Considering that this region does not produce high amounts of ions (as discussed above), the conductivity is low, regardless of the fact that the water is concentrated during the dry season.

In the southwestern portion of the Amazon, the conductivity seems to respond to a dilution/concentration model: during the wet season, although the intense rains should increase soil and rock leaching, the volume of the water dilutes the electrical conductivity. Conversely, during the dry season, the lower volume of water concentrates ions, yielding higher electrical conductivity. For the rest of the Amazon, a balance between the inputs of organic matter and of ions can explain the electrical conductivity values. Overall, in general, waters in the Amazon present a low electrical conductivity which does not affect potability.

Figures 5 and 6 present distributions of the concentrations of suspended matter and turbidity, as measured by filtration and by turbidimeters calibrated with Formazin, respectively. Although these two parameters give more or less the same information (concentration of solids in suspension), comparing the two is quite difficult, because of the inherent characteristics of each procedure (Nourisson et al. 2013). While turbidimetry measures the scattering of light in suspended particles, suspended matter filtration is a gravimetric measurement of the materials that are retained in a filter (normally 0.45-μm pore diameter). Many particles that are measured with one method escape from the other. Regardless of these differences, both Figures 5 and 6 show a similar distribution behavior, with significantly higher values in the southwestern portion of the Amazon region. Because primary productivity in Amazonian rivers is low (Pinilla-Agudelo 2009), it can be considered that most suspended particles are detrital, originating from erosion in the Andean Shield (Gaillardet et al. 1997). The concentration of suspended particles will determine the type as whitewater (rich in suspended matter), blackwater or clearwater (poor in suspended matter) (Ríos-Villamizar et al. 2013). The amount of suspended matter in the rivers has a major bearing on whether the water can be successfully treated for human consumption or not.

Figure 5

Concentration of the suspended matter (mg L−1) in the wet season (a) and in the dry season (b).

Figure 5

Concentration of the suspended matter (mg L−1) in the wet season (a) and in the dry season (b).

Close modal
Figure 6

Turbidity (FTU) in the wet season (a) and in the dry season (b).

Figure 6

Turbidity (FTU) in the wet season (a) and in the dry season (b).

Close modal

Drinking water treatment procedures

Water has been treated for consumption since early primitive societies, and a myriad of procedures have been developed. Since reviewing all drinking water treatment procedures was not the aim of the present study, these procedures are simply summarized in Table 1 (after Di Bernardo et al. 2002).

Table 1

Procedures for the treatment of raw water destined for human consumption (after Di Bernardo et al. 2002)

Treatment phasePhysical and chemical processesReagentsAdvantages for the communitiesDisadvantages for the communities
Preparation and polishing Acidification Hydrochloric acid
Sulfuric acid 
Chemistry of the processes are very well known; facilitates the subsequent processes; does not generate by-products Expensive; risk of contamination with metals and other elements; requires knowledge of chemistry: dosing requires experience 
Alkalization Hydrated lime
Sodium carbonate
Sodium hydroxide 
Chemistry of the process are very well known; facilitates the subsequent processes; does not generate by-products Expensive; risk of contamination with metals and other elements; requires knowledge of chemistry: dosing requires experience 
Removal of particulate matter Coagulation Aluminum sulfate
Polyaluminum chloride
Ferric chlorine
Chlorinated ferrous sulfate
Ferric sulfate
Tannate 
Chemistry of the process are very well known; removes particulate substances efficiently Expensive; risk of contamination with metals and other elements; generates significant amounts of sludge, contaminated with chemicals. Affected by the presence of organic acids; dosing requires experience; in acidic waters, reagent may dissolve in the produced water 
Mechanical flocculation Slow shaking – no reagents Inexpensive; no risk of contamination; application does not require experience Limited efficiency for removing particles; slow process, requires large installations for even mediocre production 
Chemical flocculation Natural polymers: manioc, potato, arrowroot, maize
Synthetic polymers 
With natural polymers, inexpensive; accessible in the region; little risk of contamination Deterioration of the polymers; generates large amounts of sludge; depending on the polymer, can attribute disagreeable taste to treated water; dosaging requires experience 
Sedimentation/filtration Settling
Sand filters 
Inexpensive; no risk of contamination; application does not require experience Slow process, requires large installations for even mediocre production; requires periodic maintenance 
Removal of contaminants Adsorption Activated charcoal
Other adsorbents 
Little risk of contamination of the produced water Expensive; application requires experience; generates contaminated effluents 
Disinfection Chorination Cl2 (gaseous or liquid)
Sodium hypochlorite
Calcium hypochlorite
Chlorine dioxide 
Fast and efficient; application does not require experience Expensive; formation of THM; possible contamination with various elements 
Ozonation O3 Fast and efficient Expensive; releases O3 into the atmosphere; attributes disagreeable taste to water; ozonator requires maintenance 
Paracetic acid application Paracetic acid Fast and efficient Expensive; may promote contamination, attributes disagreeable taste to water 
Solar disinfection Long exposure to sunlight Inexpensive; efficient; more healthful, with no application of reagents Slow; requires constant maintenance to avoid algae; frequent replacement of UV-exposed materials 
Treatment phasePhysical and chemical processesReagentsAdvantages for the communitiesDisadvantages for the communities
Preparation and polishing Acidification Hydrochloric acid
Sulfuric acid 
Chemistry of the processes are very well known; facilitates the subsequent processes; does not generate by-products Expensive; risk of contamination with metals and other elements; requires knowledge of chemistry: dosing requires experience 
Alkalization Hydrated lime
Sodium carbonate
Sodium hydroxide 
Chemistry of the process are very well known; facilitates the subsequent processes; does not generate by-products Expensive; risk of contamination with metals and other elements; requires knowledge of chemistry: dosing requires experience 
Removal of particulate matter Coagulation Aluminum sulfate
Polyaluminum chloride
Ferric chlorine
Chlorinated ferrous sulfate
Ferric sulfate
Tannate 
Chemistry of the process are very well known; removes particulate substances efficiently Expensive; risk of contamination with metals and other elements; generates significant amounts of sludge, contaminated with chemicals. Affected by the presence of organic acids; dosing requires experience; in acidic waters, reagent may dissolve in the produced water 
Mechanical flocculation Slow shaking – no reagents Inexpensive; no risk of contamination; application does not require experience Limited efficiency for removing particles; slow process, requires large installations for even mediocre production 
Chemical flocculation Natural polymers: manioc, potato, arrowroot, maize
Synthetic polymers 
With natural polymers, inexpensive; accessible in the region; little risk of contamination Deterioration of the polymers; generates large amounts of sludge; depending on the polymer, can attribute disagreeable taste to treated water; dosaging requires experience 
Sedimentation/filtration Settling
Sand filters 
Inexpensive; no risk of contamination; application does not require experience Slow process, requires large installations for even mediocre production; requires periodic maintenance 
Removal of contaminants Adsorption Activated charcoal
Other adsorbents 
Little risk of contamination of the produced water Expensive; application requires experience; generates contaminated effluents 
Disinfection Chorination Cl2 (gaseous or liquid)
Sodium hypochlorite
Calcium hypochlorite
Chlorine dioxide 
Fast and efficient; application does not require experience Expensive; formation of THM; possible contamination with various elements 
Ozonation O3 Fast and efficient Expensive; releases O3 into the atmosphere; attributes disagreeable taste to water; ozonator requires maintenance 
Paracetic acid application Paracetic acid Fast and efficient Expensive; may promote contamination, attributes disagreeable taste to water 
Solar disinfection Long exposure to sunlight Inexpensive; efficient; more healthful, with no application of reagents Slow; requires constant maintenance to avoid algae; frequent replacement of UV-exposed materials 

Note: Advantages and disadvantages are based on the characteristics of the riparian communities.

As established in the introduction of the present article, drinking water treatment in the Amazon region presents a series of issues concerning the availability of materials and high-quality reagents, the availability of electrical energy and the type of raw water that is used. Therefore, an effective treatment plant for these riparian communities should be simple and inexpensive, easy to apply by untrained personnel, and should not rely on expensive or complicated reagents.

For most Amazonian waters, pH measurements need to be carried out for the raw water before the application of some coagulation reagents, so the best solutions would be ones that avoid pH-sensitive reagents. Sand filtration, local material filters, long-term settling (Pandit & Kumar 2015) and tangential filtration systems (ones that do not clog over time) should be developed to remove suspended matter. Natural polymers derived from manioc, potato, arrowroot or maize (Di Bernardo et al. 2002) can also be applied because of their mechanical effects on the removal of suspended matter and their availability in the region. An extensive discussion on methods for cleaning and disinfecting water in developing countries was recently presented by Pandit & Kumar (2015). In their work, these authors describe (1) solar disinfection, (2) filtration, (3) hybrid filtration (including with terafilters), (4) herbal-based treatments, (5) rainwater harvesting, (6) plant xylem filtration, (7) bio-sand filters and tippy taps, and (8) disinfecting hand pumps.

Because of the large volume of water available in the Amazon, contaminants like trace metals, hydrocarbons and persistent organic pollutants do not constitute a problem for riparian populations. However, in locations where water is obtained from lakes and other lentic environments, algae contaminants like microcystin may be present and can be treated with activated charcoal. Activated charcoal is easily obtained from pyrolysis of natural materials (for example, coconut); however, communities will not be able to determine when the procedure is to be applied, because measuring algae by-products is a complicated procedure. It is therefore advisable that raw water should be obtained from lotic systems.

Considering the concentrations of organic matter in most waters in the Amazonian environment, disinfection with chlorine should be avoided, because it will lead to the formation of trihalomethanes (Pifer & Fairey 2014). The impact of ozonation on the organic-rich waters of the Amazon, mainly the formation of by-products of partial oxidation, is difficult to preview.

A good solution for water disinfection in riparian communities was proposed by Pandit & Kumar (2015): solar disinfection systems. These are easy to set up in areas with a high incidence of solar radiation and can promote the decay of bacteria in periods as short as 2 h (Feitosa et al. 2013).

Although the results of flow rate measurements indicate that there is a phase shift of up to 2 months between maximum/minimum rainfall and maximum/minimum flow, variations in water quality parameters (except for electrical conductivity) between seasons are small.

pH is an important parameter to consider when designing water treatment procedures, and our results indicate that it is controlled by the presence of electrolytes and organic acids in the solution. The presence of mineral electrolytes also controls the electrical conductivity of the solution, but in the wet season, a significant amount of organic matter is leached from the soils and may also affect this parameter.

The main origin of the suspended matter in the Amazonian basin is the Andean Shield, which is subject to intense erosion processes. The Madeira and Solimões rivers, known as the whitewater rivers, present the highest concentrations of suspended matter as well as the highest turbidity. Values of FTUs are not expected to reflect concentrations of particulate matter (by gravimetry), though, because these two parameters are measured differently. However, the results presented here showed a similar distribution, because suspended matter in these rivers is mainly detrital.

The first point that should be considered when designing water treatment systems for small riparian communities is a preference for low technology and low maintenance. The water characterization presented in this work indicates that treatment systems should avoid reagents that are frequently used for coagulation and flocculation, and slow settling or mechanical filtration systems should be developed. For disinfection, solar systems where UV or solar pasteurization can reduce the life span of bacteria should also be considered.

Although the proposed systems are not new, they need to be adapted to the conditions of the riparian communities of the Amazon. However, it is important to consider that any system that the community is not able to operate and maintain will deteriorate rapidly and will be useless for them in the long term. Detailed socio-cultural studies identifying the acceptability of different procedures for the treatment of water in the Amazon are essential.

J.C.W. acknowledges the National Council for the Scientific and Technological Development (CNPq) for a research fellowship (grant #302741/2017-8).

The authors declare that they have no conflict of interest.

Binsztok
J.
Wasserman
J. C.
Barros
S. R. S.
2009
Desenvolvimento capitalista, diferenciação sócio espacial e a questão ambiental nas comunidades ribeirinhas do Médio Amazonas – PA (Capitalist development, socio-spatial differentiation and environmental issues in riparian communities of the medium Amazon, State of Para, Brazil)
. In:
XII Encuentro de Geógrafos de America Latina
.
Associación Latino-Americana de Geografos
,
Montevideo, Uruguay
,
3–7 April 2009
, pp.
1
15
.
Di Bernardo
L. D.
Di Bernardo
A. D.
Centurione-Filho
P. L.
2002
Ensaios de tratabilidade de água e dos resíduos gerados em estações de tratamento de água (Essays of Treatability of Water and of the Generated Residues in Drinking Water Treatment Plants)
.
RIMA Editora
,
São Carlos, SP
.
Ertel
J. R.
Hedges
J. I.
Devol
A. H.
Richey
J. E.
Ribeiro
M. D. G.
1986
Dissolved humic substances of the Amazon River system
.
Limnology and Oceanography
31
(
4
),
739
754
.
doi:10.4319/lo.1986.31.4.0739
.
FAO
2016
AQUASTAT – FAO's Global Information System on Water and Agriculture. http://www.fao.org/aquastat/en/. (accessed 12 July 2018)
.
Feitosa
R. C.
Rosman
P. C. C.
Carvalho
J. L. B.
Côrtes
M. B. V.
Wasserman
J. C.
2013
Comparative study of fecal bacterial decay models for the simulation of plumes of submarine sewage outfalls
.
Water Science and Technology
68
(
3
),
622
631
.
doi:10.2166/wst.2013.286
.
Gaillardet
J.
Dupré
B.
Allègre
C. J.
Négrel
P.
1997
Chemical and physical denudation in the Amazon River Basin
.
Chemical Geology
142
(
3–4
),
141
173
.
doi:10.1016/S0009-2541(97)00074-0
.
Gama
A. S. M.
Fernandes
T. G.
Parente
R. C. P.
Secoli
S. R.
2018
Inquérito de saúde em comunidades ribeirinhas do Amazonas, Brasil (Health survey in riparian communities of the Amazon, Brazil)
.
Cadernos de Saúde Pública
34
(
2
),
e00002817
.
doi:10.1590/0102-311(00002817
.
Gerard
M.
Seyler
P.
Benedetti
M. F.
Alves
V. P.
Boaventura
G. R.
Sondag
F.
2003
Rare earth elements in the Amazon basin
.
Hydrological Processes
17
(
7
),
1379
1392
.
doi:10.1002/hyp.1290
.
Giroussi
S. T.
Voulgaropoulos
A. N.
Stavroulias
S.
1996
Voltammetric determination of heavy metals in aluminum sulfate used for potable and waste water treatment
.
Chemia Analityczna
41
(
3
),
489
493
.
Horbe
A. M. C.
Santos
A. G. D.
2009
Chemical composition of black-watered rivers in the Western Amazon region (Brazil)
.
Journal of the Brazilian Chemical Society
20
(
6
),
1119
1126
.
doi:10.1590/s0103-50532009000600018
.
Horbe
A. M. C.
Queiroz
M. M. D.
Moura
C. A. V.
Toro
M. A. G.
2013
Chemistry of waters of the middle and lower Madeira River and its main tributaries – Amazonas – Brazil
.
Acta Amazonica
43
(
4
),
489
504
.
doi:10.1590/s0044-59672013000400011
.
IBGE
2010
Demographic Census 2010. Available from: http://ces.ibge.gov.br/base-de-dados/metadados/ibge.
Merschel
G.
Bau
M.
Schmidt
K.
Münker
C.
Dantas
E. L.
2017
Hafnium and neodymium isotopes and REY distribution in the truly dissolved, nanoparticulate/colloidal and suspended loads of rivers in the Amazon Basin, Brazil
.
Geochimica et Cosmochimica Acta
213
,
383
399
.
doi:10.1016/j.gca.2017.07.006
.
Monteiro
M. T. F.
Oliveira
S. M.
Luizao
F. J.
Candido
L. A.
Ishida
F. Y.
Tomasella
J.
2014
Dissolved organic carbon concentration and its relationship to electrical conductivity in the waters of a stream in a forested Amazonian blackwater catchment
.
Plant Ecology & Diversity
7
(
1–2
),
205
213
.
doi:10.1080/17550874.2013.820223
.
Mora
A.
Laraque
A.
Moreira-Turcq
P.
Alfonso
J. A.
2014
Temporal variation and fluxes of dissolved and particulate organic carbon in the Apure, Caura and Orinoco rivers, Venezuela
.
Journal of South American Earth Sciences
54
,
47
56
.
doi:10.1016/j.jsames.2014.04.010
.
Neill
C.
Deegan
L. A.
Thomas
S. M.
Cerri
C. C.
2001
Deforestation for pasture alters nitrogen and phosphorus in small Amazonian streams
.
Ecological Applications
11
(
6
),
1817
1828
.
doi:10.1890/1051-0761(2001)011[1817:DFPANA]2.0.CO;2
.
Nieuwenhuijsen
M. J.
Smith
R.
Golfinopoulos
S.
Best
N.
Bennett
J.
Aggazzotti
G.
Righi
E.
Fantuzzi
G.
Bucchini
L.
Cordier
S.
Villanueva
C. M.
Moreno
V.
La Vecchia
C.
Bosetti
C.
Vartiainen
T.
Rautiu
R.
Toledano
M.
Iszatt
N.
Grazuleviciene
R.
Kogevinas
M.
2009
Health impacts of long-term exposure to disinfection by-products in drinking water in Europe: HIWATE
.
Journal of Water and Health
7
(
2
),
185
207
.
doi:10.2166/wh.2009.073
.
Nourisson
D. H.
Scapini
F.
Massi
L.
Lazzara
L.
2013
Optical characterization of coastal lagoons in Tunisia: ecological assessment to underpin conservation
.
Ecological Informatics
14
,
79
83
.
doi:10.1016/j.ecoinf.2012.11.011
.
Oliveira
L. C.
Sargentini
T.
Rosa
A. H.
Rocha
J. C.
Simoes
M. L.
Martin-Neto
L.
da Silva
W. T. L.
Serudo
R. L.
2007
The influence of seasonalness on the structural characteristics of aquatic humic substances extracted from Negro river (Amazon state) waters: interactions with Hg(II)
.
Journal of the Brazilian Chemical Society
18
,
860
868
.
doi:10.1590/S0103-50532007000400028
.
Pandit
A. B.
Kumar
J. K.
2015
Clean water for developing countries
. In:
Annual Review of Chemical and Biomolecular Engineering
, Vol.
6
(
Prausnitz
J. M.
, ed.),
Annual Reviews
,
Palo Alto, CA
, pp.
217
246
.
doi:10.1146/annurev-chembioeng-061114-123432
.
Pifer
A. D.
Fairey
J. L.
2014
Suitability of organic matter surrogates to predict trihalomethane formation in drinking water sources
.
Environmental Engineering Science
31
(
3
),
117
126
.
doi:10.1089/ees.2013.0247
.
Pinilla-Agudelo
G. A.
2009
Primary production in a clear water lake of Colombian Amazon (Lake Boa)
.
Acta Biologica Colombiana
14
(
2
),
21
30
.
Ríos-Villamizar
E. A.
Piedade
M. T. F.
Costa
J. G. D.
Adeney
J. M.
Junk
W. J.
2013
Chemistry of different Amazonian water types for river classification: a preliminary review
.
WIT Transactions on Ecology and the Environment
178
,
17
28
.
doi:10.2495/WS130021
.
Sousa
I. d. S.
2009
As condições de vida e saneamento nas comunidades da área de influência do gasoduto Coari-Manaus em Manacapuru – AM (Living condition and water and sanitation situation in communities in the sphere of influence of the gas pipeline Coari-Manaus in Manacapuru, State of Amazon, Brazil)
.
Hygeia
5
(
9
),
88
98
.
Stallard
R. F.
Edmond
J. M.
1983
Geochemistry of the Amazon: 2. The influence of geology and weathering environment on the dissolved load
.
Journal of Geophysical Research: Oceans
88
(
C14
),
9671
9688
.
doi:10.1029/JC088iC14p09671
.
Stallard
R. F.
Edmond
J. M.
1987
Geochemistry of the Amazon: 3. Weathering chemistry and limits to dissolved inputs
.
Journal of Geophysical Research: Oceans
92
(
C8
),
8293
8302
.
doi:10.1029/JC092iC08p08293
.
Wasserman
J. C.
de Oliveira Silva
L.
de Pontes
G. C.
de Paiva Lima
E.
2018
Mercury contamination in the sludge of drinking water treatment plants dumping into a reservoir in Rio de Janeiro, Brazil
.
Environmental Science and Pollution Research
25
(
28
),
28713
28724
.
doi:10.1007/s11356-018-2899-9
.
Yang
B.
Yu
H.
Xing
M.
He
R.
Liang
R.
Zhou
L.
2017
The relationship between cognition and depressive symptoms, and factors modifying this association, in Alzheimer's disease: a multivariate multilevel model
.
Archives of Gerontology and Geriatrics
72
,
25
31
.
doi:10.1016/j.archger.2017.05.003
.