Skip to main content

The effect of sedimentation by chemical coagulants and the rapid sand filters on algal removal at drinking water treatment plants in Egypt

Abstract

Background

The Nile River included diverse phytoplankton compositions belonging to five main phytoplankton categories. Algae have been classified and identified through comparative morphology.

Results

The Pyrrophyta, Charophyta, Cyanophyta, Chlorophyta, and Bacillariophyta were presented through the full period of investigation with 1, 3, 14, 23, and 28 species, respectively. Therefore, it may be important to note that diatoms were recorded as an abundant group in all investigated samples. The numbers of diatoms ranged between 1.45 × 106 and 1.18 × 107 Organism/l, this was followed by green algae that ranged from 7.0 × 105 to 1.22 × 106 Organism/l. While the lowest count of blue-green algae was ranged between 1.6 × 105 and 7.03 × 105 Organism/l. The treatment of Nile water using two chemical coagulants "aluminum sulfate (Al2(SO4)316H2O) and aluminum oxide (Al2O3)" removed algae by about 85% and 90%, respectively. As for, the Cyanophyceae species, they were removed completely in treated water using the sedimentation, filtration, and chlorination process. The sedimentation basins removed from 20 to 100% of the total algal count while the rapid sand filters removed from 65 to 100% of the total algal count during the water treatment that depends on the species of algae.

Conclusions

This study concluded that the removal of algae from the Nile water may be more or less easy depending on the nature of the prevailing algal group. Water treatment plants must modify alum and chlorine doses in their water treatment processes according to the count and species of the algal groups, to provide an aesthetically acceptable and biologically safe water supply.

Background

The major source of drinking water supply in Egypt is the Nile River. It showed diverse Phytoplankton species that belong to three main groups: Chlorophyceae, Cyanophyceae, and Bacillariophyceae (Shehata et al. 2008; Ahmed 2016). Water quality and quantity are necessary to maintain the ecosystem integrity. The human consumption of water has a direct impact on human health and activities (El-Sheekh et al. 2017).

Securing drinking water plays a substantial role in preventing the outbreak of many water transmissible diseases. Algae especially those belonging to cyanobacteria are of interest in water treatment facilities because they produce taste, odor, and natural toxins secreted upon their exposure to certain environmental conditions (Ibrahim et al. 2015; APHA 2017; Djamel et al. 2017). Generally, diatoms produce clogging of water filters due to fractional silicon (Shehata et al. 2008; Khalil et al. 2013; APHA 2017). As mentioned before, it is of high priority that drinking water must not contain algae and must be free of toxins. Furthermore, it should be aesthetically acceptable in appearance, taste and odor properties in order to win the confidence of the consumers (Codony et al. 2003; Bui et al. 2019; Mohamed et al. 2020; Zhao et al. 2021).

Particular blue-green algae can manufacture toxins that are harmful to health (Sivonen 1996). These toxins may have deleterious effect on humans and can ultimately cause cancer (Rose et al. 1999). Some experimental studies proved that mutagenic and carcinogenic substances are produced by algae. Therefore, they are important because of their chronic impact on health and human physiology (Loper 1989; Monarca 1989; Ledra and Prosperi 1996; Khalil et al. 2013; Ahmed 2016; Djamel et al. 2017). Traditional drinking water treatment such as sedimentation, filtration, and disinfection can remove substantial amounts of algal toxins by removing the whole algal cell. Algae have been specified as beneficial indicators in the bio-monitoring of stream and river ecosystems (Hill et al. 2000; Bui et al. 2019). Recently, bio-monitoring has been utilized for water quality problems and diversity (Clark et al. 2003; Allam and El-Gemaizy 2015; Zhao et al. 2021). Algal populations provide an integrated measure of water quality, and they have several biological features that make them ideal for biological monitoring (Nevo and Wasser 2000; Allam and El-Gemaizy 2015; Delelegn et al. 2018; Mohamed et al. 2020).

Coagulants are rated based on two criteria: firstly, to choose the coagulant and chlorine dose in their best performance conditions; secondly, to ensure the convenient quality of the water. Therefore, the main objective of the present research is to monitor the change in algal abundance and community structure in the Nile river water. In addition, to estimate and evaluate the efficiency of traditional water treatment in removing the inconvenient algae.

Methods

Sampling sites

Water samples were collected monthly for a year from January to December 2019. This was at the inlet and outlet of Atfeeh, Al-Ayat, and Giza water treatment plants. Atfeeh is a rural region, about 75 km south of Giza governorate, east of the Nile River, while Al-Ayat is a rural region, about 55 km south of Giza governorate, west of the Nile River and Giza City. According to the Egyptian Ministry of Irrigation (2001), the annual average of Atfeeh, Al-Ayat, and Giza water treatment plants depths were 7.0 m, 6.9 m, and 6.8 m, respectively, and plants' discharges were 133,000 m3/day, 133,000 m3/day, and 65,000 m3/day, respectively.

Physico-chemical characters and chlorine determination

They were carried out according to Standard methods, (APHA 2012).

Jar test

Coagulation and flocculation was conducted via the “Jar Test” procedure devised by Cohen (1957), Bulusu and Sharma (1967), and Zeta-Meter, Inc. (1993).

Phytoplankton analysis

Phytoplankton distribution and concentration were studied according to standard methods for water and waste-water examinations (APHA 2017).

Collecting samples

Algae samples were collected from midstream at a depth of 10–20 cm, below the water surface. In river, certain volume of water was collected from 1 to 2 m. A few drops of Lugol's solution were added to the water samples (Prescott 1971).

Identification of phytoplankton in water samples

The water samples were examined using a binocular light microscope (Olympus Denmark). Algae were recorded as absent (−) or present (+) in the different water sources for each category and the number of particular algae was recorded. A Sedgwick-Rafter counting chamber was used for the calculation. Therefore, comparative morphology and description were used for algal identification using pertinent textbooks, manuals, articles, and standard methods for water and waste-water examinations (Trégouboff and Maurice 1957; Compère 1977; Nguetsop et al. 2007; Bellinger and Siegee 2010; APHA 2012, 2017). Algae were classified according to the algal database.

Statistical analysis

The resulting data were the average of three replicates presenting intermediate values with the means standard deviation, the analysis of the data by the statistical package, Statgraphics (Statistical Graphics Corporation, Princeton USA) by functions of t-test, and ANOVA to assess significant differences between the means.

Results

Quantitative estimation of phytoplankton

The Nile River water demonstrated different phytoplankton compositions belonging to five major categories, namely Chlorophyta, Charophyta, Cyanophyta, Bacillariophyta, and Pyrrophyta. Generally, phytoplankton distribution is provided in Table 1. The green algae and diatoms were presented throughout the entire period of examination with 23 and 28 species, respectively. Diatoms were the most abundant group in all investigated samples, while blue-green algae were presented throughout the year with 14 species. These results are in agreement with Ibrahim et al. (2015) and Ahmed (2016) who found that the green algae and diatoms were presented during their full period of investigation with 22 and 24 species, respectively; however, blue-green algae were 7 species only.

Table 1 List of recorded species in the Nile River samples

Jar test depends on Alum coagulant doses (mg/l) and chlorine dose (4.0 mg/l) to reduce algal count in Nile River when the algal count was 5400 Organism/ml

The maximum algal count (700 Organism/ml) was recorded at 20 mg/l of alum doses, while the least algal count (650 Organism/ml) was obtained at 28 mg/l of alum doses. As a result, the optimal alum dose was detected at 28 mg/l, with an algal removal rate of 87.96%. The highest pH value (7.4) was observed at 20 mg/l alum doses, while the lowest pH value (7.2) was recorded at 30 mg/l alum doses. The largest turbidity (2.10 NTU) was recorded at 20 mg/l of alum doses, while the least turbidity (1.65 NTU) was reported at 28 mg/l of alum doses. The residual alum concentrations ranged from 0.16 to 0.21 mg/l (the normal range should not exceed 0.2 mg/l). Residual chlorine levels varied from 1.4 to 1.6 mg/l, which is within the acceptable range for drinking water. Table 2 demonstrates the alum's doses effect on the Nile River sample.

Table 2 Jar tests are based on alum doses and chlorine dose (4.0 mg/l) in Nile River samples

Effect of total alkalinity, pH, and temperature on the growth of algae in the Nile River

The highest total alkalinity was 156 mg/l in January and the least total alkalinity was 136 mg/l in July, in the other months, total alkalinity was ranged from 138 to 152 mg/l (Table 3). These results are agreement with Ahmed (2016). Total alkalinity as CaCO3 (mg/l) is increased by dissolved CO2 concentrations greater than those feasible from atmospheric CO2. Water infiltrating soil and other formations accumulate CO2 through root and microbial respiration, and hydrostatic pressure increases with depth in saturated subsurface formations, allowing water to hold more CO2. Alkalinity levels in groundwater from limestone formations may be higher than those seen in surface waters. The decomposition of organic substances can also cause carbon dioxide to increase in surface waters Boyd et al. (2016).

Table 3 The influence of physio-chemical variables on the algal count in Nile river water

The maximum pH value was 8.4 in December and the lowest pH value was 7.9 in July, while pH value was ranged from 8.0 to 8.3 in the other months (Table 3). The study indicates there were significant differences in the pH of water. The nature of the Earth's layers and composition of discharged water that was the river receives all influence the pH of the river. The pH of water is critical for aquatic life, and even small pH changes can affect species that are pH-sensitive Rashad et al. (2019). These results are agreement with Ahmed, (2016).

The maximum temperatures were 30 °C in August and the least temperatures were 16.5 °C in January, while temperatures was ranged from 18.7 to 29.8 °C in the other months (Table 3). Temperature observations revealed a wide range of temperatures; temperature varies greatly depending on several factors such as geographic location, shade, water supply, thermal discharges, water body size, and depth Rashad et al. (2019). It is significant because it has a direct impact on the amount of oxygen that can be dissolved in water, the rate of photosynthesis of algae and bigger aquatic plants, aquatic creature metabolic rates, and the sensitivity of organisms to toxic wastes, parasites, and illnesses. These results are in agreement with Rashad et al. (2019) and Mohamed et al. (2020). The current study indicated that total alkalinity, pH, and the temperature had an impact on the growth and number of algae in Nile river water (Table 3).

The removal rate of algae in the sedimentation basin and filters

Diatoms, green algae, and blue-green algae were present throughout the full examination period. In the sedimentation basin Synedra, Asterionella, Melosira, and Fragilaria (Diatoms) were removed with 40–90, 75–80, 80–90, and 85–100%, respectively; Chlorella, Scenedesmus, and Pediastrum (Green algae) were removed with 20–50, 25–60 and 80–95%, respectively; Oscillatoria and Anabaena (Blue-green algae) were removed with 40–50 and 50–70%, respectively (Table 4). In the current study, sedimentation basins in drinking water plants removed from 20 to 100% of the total algal count during the water treatment that depends on the species of algae, the use of the optimal coagulant dose, and the detention time of the clarifiers.

Table 4 Removal rate for algae in sedimentation basin

When using filters, Synedra, Asterionella, Melosira, and Fragilaria (Diatoms) were removed with 90–97, 90–98, 95–100, and 95–100% respectively; Chlorella, Scenedesmus, and Pediastrum (Green algae) were removed with 70–96, 65–95 and 92–98% respectively; Oscillatoria and Anabaena (Blue-green algae) were removed with 99–100 and 99–100% respectively. Diatoms represented the most abundant category in all investigated samples (Table 5). An ongoing global problem for the drinking water treatment industry is the presence of algae in the water source. Algae in the drinking water supply can cause major disturbances including taste, odor, production of secondary product, coagulation impairment, filters clogging, and absorbable organic carbon for the biofilm growth. Therefore, conventional treatment of drinking water that includes sedimentation basins and rapid sand filters is satisfactory and suitable for removing algae under normal conditions (Badiaa et al. 2010). In the present study, rapid sand filters in drinking water plants removed from 65 to 100% of the total algal count during the water treatment depending on the species of algae, sedimentation efficiency, the efficiency of the filters (filter medium) and the filters discharge rate m3/hour.

Table 5 Removal rate for algae after filtration

Phytoplankton occurrence and abundance in drinking water

The most abundant phylum was Bacillariophyta. The occurrences of these algae were variable among groups and sites. The mean counts of Bacillariophyta species per-site were 14, 13, and 13 for Atfeeh, Al-Ayat and Giza, respectively. The second dominant phylum was Chlorophyta. Its occurrences were not uniform among groups and sites. The mean counts of Chlorophyta species per-site were 3, 5, and 6 for Atfeeh, Al-Ayat and Giza, respectively. While Charophyta species counts per-site were 1, 1 and 2 for Atfeeh, Al-Ayat and Giza, respectively. The total number of species in drinking water was 18, 19, and 21 for Atfeeh, Al-Ayat and Giza, respectively (Table 6).

Table 6 Algal species occurrence in the drinking water samples

Changes into algal abundance in Nile River and tap water samples

In the present study, the algal count was used as biological monitoring for the detection of the optimal dose in water treatment. Algal counts (Organism/ml) in Atfeeh, Al-Ayat, and Giza sites are recorded in Fig. 2. To protect consumers from water-borne diseases, the distributed water should be completely free of pathogenic algae (Mohamed et al. 2014; Mohamed et al. 2020). Diatoms and green algae were recorded in all investigated samples, but Cyanophyceae (pathogenic algae) were not recorded in all outlet samples of water treatment plants and this is conforms to the Egyptian standard specifications.

For the Nile River water samples, the highest algal count was recorded during November as 13,800 Organism/ml, while the lowest count was recorded during July as 2500 Organism/ml. During the other months, the counts were between 3150 and 8500 Organism/ml (Fig. 1). These results are in agreement with Ahmed (2016) and Mohamed et al. (2020) who stated that the counts of algae were between 2670 and 8110 Organism/ml.

Fig. 1
figure 1

Total algal count (Organism/ml) in Nile river water samples

At Atfeeh site, tap water samples had the highest count that was recorded during November as 60 Organism/ml, while the lowest count was recorded during other months (10–50 Organism/ml). At Al-Ayat site, tap water samples had the highest count that was recorded during December as 50 Organism/ml, while the lowest count was recorded during other months (10–40 Organism/ml). At Giza site, the highest count in tap water samples was recorded during November as 50 Organism/ml, while the lowest count was recorded during other months (10–40 Organism/ml) (Fig. 2). These results are in agreement with Ahmed (2016) who stated that the counts of algae were between 10 and 60 Organism/ml in outlet samples of water treatment plants.

Fig. 2
figure 2

Algal count (Organism/ml) in the treated water sample

Discussion

Different phytoplankton groups such as green algae, blue-green algae, and diatoms were different in their numbers during the full duration of investigation in the waters of the Nile River. Diatoms count exceeded the other two groups, in all months. Diatoms count ranged from 1.45 × 106 to 1.18 × 107 Organism/l. This was followed by green algae, which ranged from 7.0 × 105 to 1.22 × 106 Organism/l, while the lowest number was observed for blue-green algae, which ranged from 1.6 × 105 to 7.03 × 105 Organism/l. This is due to the changes in flow rate and turbidity levels of the water (Ramadan and Shehata 1976; Shehata et al. 1997). These results are in agreement with Shehata et al. (2008) and Ibrahim et al. (2015) who reported that the abundance of green algae, blue-green algae, and diatoms was variable, and diatoms represented the most abundant category in all investigated samples.

In conventional treatment (pre-chlorination and coagulation), as processes for removing freshwater algae, two forms of alum (Al2 (SO4)316H2O and Al2O3) were used. The results showed that blue-green algae were the most sensitive algal group for the water treatment process and that they were completely removed from the water by both the two alum formulas. Moreover, the response of the other two algal groups, green algae and diatoms, was relatively high. However, the removal of the total algal count was between 85% for aluminum sulfate and 90% for aluminum oxide. These results are in agreement with Al-Layla et al. (1974), Shehata et al. (2008), Ibrahim et al. (2015), and Mohamed et al. (2020) who stated that the removal of the total count of algae in surface water treatment was 85% for aluminum sulfate and 90% for aluminum oxide treatment.

Turbidity is caused by dissolved substances and negative charges (i.e., algae) that require more positive charges (i.e., H+ and Al3+) to pass from the dissolved state to the solid-state during the coagulation phase before their sedimentation through the flocculation phase. In the present study, two types of aluminum were introduced and the following coagulation mechanisms were suggested: (1) protons donate H+ ions in less than 1 s, (2) CN release cationic aluminum species in less than 7 s, and (3) coagulation process is produced by aluminum hydroxide precipitation in 7 s. Protons here mean acidification that acts more quickly than cationic aluminum because the hydrogen ion is smaller than the metal. Al(OH)3 carries a positive charge to indicate that aluminum flocs are positively charged. Indeed, Dempsey (1987) has found that the flocs generated in any conventional technology for water treatment were positively charged. The point of zero charges (PZC) of Al(OH)3 is ~ 8.5. The colloids for clay minerals that are frequently observed in water are negatively charged. As an example, the PZC of silica and kaolin is ~ 2 and 4, respectively. Thus, the colloids are electrostatically fixed to the flocs in the neutral pH water. The typical pH ranges from 6.0 to 7.5 in coagulation processes (Ghernaout and Ghernaout 2012; Ghernaout et al. 2017).

Water treated for human use should be free from algal toxic substances (WHO 2005; Desta Kassa 2009). Based on the species, the presence of algae may results in greenish discoloration of water, due to high concentration of suspended cells in some conditions and the formation of foams on the surface, such as cells aggregations that may lead to high concentrations of toxin (WHO 2006; APHA 2017). In terms of public health impact, a range of blue-green algae species can produce toxins; therefore, drinking water should be free from cyanobacteria (WHO 2006).

Conclusions

This study concluded that the removal of algae from the Nile water may be more or less easy depending on the nature of the prevailing algal group. Water treatment plants must modify alum and chlorine doses in their water treatment processes according to the count and species of the algal groups, to provide an aesthetically acceptable and biologically safe water supply. Furthermore, it is recommended to apply algal count as a biological monitor to determine the drinking water quality, because drinking water must be free from blue-green algae, pathogenic algae, and their toxic substances. Traditional water treatment plants in Egypt are suitable for algal removal and their toxins, but alum coagulant and chlorine doses should be adequate for algal removal. Finally, rapid sand filters are efficient in the removal of pathogenic algae at surface water treatment plants.

Availability of data and materials

Not applicable.

Abbreviations

APHA:

American Public Health Association

Alum:

Aluminium sulphate

NTU:

Nephelometric turbidity unites

WHO:

World Health Organization

References

  • Ahmed AHA (2016) Study the microbiological effects on chemical doses and water treatment engineering. M.Sc. thesis, Faculty of Science, Fayoum University

  • Allam NG, El-Gemaizy WM (2015) Evaluation of microbial quality of the River Nile Water at El-Gharbia Governorate, Egypt in response to seasonal and regional variations. Egypt J Environ Res 3(2015):30–40

    Google Scholar 

  • Al-Layla, Muhammad Anis H., Middlebrooks, E. J. and Porcella, D.B., (1974): Effect of temperature on algal removal by alum coagulation. Utah Water Research Laboratory, Reports, Paper 650. Publication Date 1-1-1974. http://digitalcommons.usu.edu/water_rep/650

  • APHA (2012) Standard methods for the examination of water and wastewater, 22nd edn. American Public Health Association, Washington, D.C.

    Google Scholar 

  • APHA (2017) Standard methods for the examination of water and wastewater, 23rd edn. American Public Health Association, Washington, D.C

    Google Scholar 

  • Badiaa G, Djamel G, Ali S (2010) Algae and cyano-toxins removal by coagulation/flocculation. Desalin Water Treat 20(2010):133–143

    Google Scholar 

  • Bellinger GE, Siegee DC (2010) Fresh water algae: identification and use as bio-indicators, 1st edn. Wiley, London

    Book  Google Scholar 

  • Boyd CE, Craig ST, Benjaporn S (2016) Alkalinity and hardness: critical but aquaculture. J World Aquac Soc 47(1):6–41

    Article  Google Scholar 

  • Bui X-T, Chiemchaisri C, Fujioka T, Varjani S (2019) Water and wastewater treatment technologies. Energy, environment, and sustainability. ISBN 978-981-13-3259-3 (eBook). https://doi.org/10.1007/978-981-13-3259-3

  • Bulusu KR, Sharma VP (1967) Significance of point of application of a coagulant in jar test. Environ Health (India) 9:339

    Google Scholar 

  • Clark A, Turner T, Padma DK, Goutham J, Kalavati C, Rajanna B (2003) Health hazards due to pollution of waters along the coast of Visakhapatnam, east coast of India. Ecotoxicol Environ Saf 56:390–397

    Article  CAS  Google Scholar 

  • Codony F, Miranda AM, Mas J (2003) Persistence and proliferation of some unicellular algae in drinking water systems as result of their heterotrophic metabolism. Water SA J 29(1):113–116

    Google Scholar 

  • Cohen JM (1957) Improved Jar-test. J Am Water Works Assoc 49:1427–1431

    Article  Google Scholar 

  • Compère P (1977) Algues de la région du lac Tchad. VII: chlorophycophytes (3ème partie: desmidiées). Cahiers ORSTOM. Sér Hydrobiol 11(2):77–177

    Google Scholar 

  • Delelegn A, Sahile S (2018) Husen A (2018) Water purification and antibacterial efficacy of Moringa oleifera Lam. Agric Food Secur 7:25

    Article  Google Scholar 

  • Dempsey BA (1987) Chemistry of coagulants. Influence of coagulation on the selection, operation, and performance of water treatment facilities, Seminar of the American Water Works Association (AWWA), Denver, Colorado, 19–30

  • DESTA KASSA (2009) Physico-Chemical and bacteriological quality assessment of drinking water from source to households’ distribution point in Debrezeit Town, Ethiopia. M.Sc. thesis, Faculty of Science, Addis Ababa University

  • Egyptian Ministry of Irrigation (2001) Annual report

  • El-Sheekh MM, Metwally MA, Allam NG, Hemdan HE (2017) Effect of algal cell immobilization technique on sequencing batch reactors for sewage wastewater treatment. Int J Environ Res 2017(11):603–611

    Article  Google Scholar 

  • Ghernaout D, Ghernaout B (2012) Sweep flocculation as a second form of charge neutralization: a review. Desalin Water Treat 44:15–28

    Article  CAS  Google Scholar 

  • Ghernaout D, Badis A, Braikia G, Matâam N, Fekhar M, Ghernaout B, Boucherit A (2017) Enhanced coagulation for algal removal in a typical Algeria water treatment plant. Environ Eng Manag J 16(10):2303–2315

    Article  CAS  Google Scholar 

  • Hill BH, Herlihy AT, Stevenson RJ, Kaufmann PR, McCormick FJ, Johnson CB (2000) The use of periphyton assemblage data in an index of biotic integrity. J N Am Benthol Soc 19:50–67

    Article  Google Scholar 

  • Ibrahim WM, Essa AMM, Abouzied AH (2015) Application of biological agent to determine the optimal coagulant dose in water treatment plants. Afr J Mycol Biotechnol 20(1):31–45

    Google Scholar 

  • Khalil MA, Salem ZE, Gheda SF, El-Sheekh MM (2013) Quality assessment of drinking water in Tanta City. J Environ Sci Eng B 2(2013):257–275

    CAS  Google Scholar 

  • Ledra DE, Prosperi CH (1996) Water mutageniciy and toxicological in Rio Tercero (Cordoba, Argentina). Water Res 30(4):819–824

    Article  Google Scholar 

  • Loper JC (1989) Mutagenic effects of organic compounds in drinking water. Mutat Res 67:241–245

    Google Scholar 

  • Mohamed SA, Hamed SR, Al-Wasify RS (2014) Relative diversity of filamentous fungi and yeasts in groundwater and their correlation to fecal pollution indicators and physicochemical parameters. Int J Curr Microbial App Sci 3(11):905–919

    Google Scholar 

  • Mohamed FM, El-Deen FN, Kamal AM (2020) the Relationship between algal counting and chemicals consumption of conventional purification systems at Qena Governorate, Egypt. Egypt J Aquat Biol Fish 24(1):161–172

    Article  Google Scholar 

  • Monarca S (1989) Acquapotabile e mutageni, eIgiene dell’ ambiente e delterritorio. C.G. EdizioniMedicoScientifiche, Torino

    Google Scholar 

  • Nevo E, Wasser SP (2000) Biodiversity of cyanoprocaryotes, algae and fungi of Israel. Cyanoprocaryotes and algae of continental Israel. Ruggell, ARG GantnerVerlag, Leichtenstein, pp 32–141

    Google Scholar 

  • Nguetsop VF, Fonko UT, Assah VMD, Nangtson MN, Pinta JY (2007) Relationship between algae and physicochemical characteristics of water in wetlands and water bodies, Cameroon. J Exp Biol 3:70–79

    Google Scholar 

  • Prescott GW (1971) How to know the freshwater algae. Wm. C., Brown Publishers, Dubuque.

    Google Scholar 

  • Ramadan FM, Shehata SA (1976) Early changes in phytoplankton of Nile Water (1965–1974). In: Symposium on Nile Water and Lake Dam Projects, National Research Center, Cairo, 1–4 Mar 1976

  • Rashad S, Abdul Moneem M, El-Chaghaby GA, Abdel-Kader SF (2019) Monitoring water quality and plankton distribution in the River Nile around El-Maadi area in Egypt during 2018. Egypt J Aquat Biol Fish 23(5):81–87

    Article  Google Scholar 

  • Rose JB, Atlas RM, Gerba CP, Gilchristm JR, Lechevallier MW, Sobsey MD (1999) Microbial pollutants in our nation’s water, environmental and public health issues. American Society for Microbiology, Washington, D.C.

    Google Scholar 

  • Shehata SA, Bader SA, Wahba SZ (1997) Phytoplankton composition of the River Nile atthe intake of El-Giza water works (Egypt). J Appl Sci 12(2):389–412

    Google Scholar 

  • Shehata SA, Ali GH, Wahba SZ (2008) Distribution pattern of nile water algae with reference to its treatability in drinking water. J Appl Sci Res 4(6):722–730

    CAS  Google Scholar 

  • Sivonen K (1996) Cyanobacterial toxins and toxins production. Phycol J 35(6):12–24

    Article  Google Scholar 

  • Trégouboff G, Maurice R (1957) Manuel De Planctonologie Méditerranéenne. Centre national de la recherché scientifique, Paris

    Google Scholar 

  • WHO - World Health Organization (2005) Guidelines for drinking water quality. Health criteria, vol 3, 2nd edn. World Health Organizations Switzerland, Geneva

    Google Scholar 

  • WHO - World Health Organization (2006) Guidelines for dirking water quality, incorporating first addendum. Recommendations, vol 1, 3rd edn. World Health Organization, Geneva

    Google Scholar 

  • Zeta-Meter, Inc. (1993) Coagulation and flocculation, 4th edn. Zeta-Meter, Inc., Harrisonburg

    Google Scholar 

  • Zhao Y, Lian H, Tian C, Li H, Xu W, Phuntsho S, Shih K (2021) Surface water treatment benefits from the presence of algae: influence of algae on the coagulation behavior of polytitanium chloride. Environ Sci Eng 15(4):58

    CAS  Google Scholar 

Download references

Acknowledgements

All authors are thankful to the Head of the Department, Microbiology, Central laboratories, the holding company for water and waste-water treatment, Giza, Egypt providing appropriate support for this research.

Funding

Not applicable.

Author information

Authors and Affiliations

Authors

Contributions

AH and HH have done the writing of the final manuscript. The work plan and implementation of the research, as well as the analysis of the results, were all contributed to by all authors, who were also in charge of the general direction and design. Before submitting the work, all authors have read and approved manuscript and ensure that this is the case.

Corresponding author

Correspondence to Adel Hussein Abouzied.

Ethics declarations

Ethics approval and consent to participation

This study did not require ethical approval or consent for participation.

Consent for publication

Not applicable.

Competing interests

There are no competing interests in this study.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Abouzied, A.H., Hassan, H.A.S. The effect of sedimentation by chemical coagulants and the rapid sand filters on algal removal at drinking water treatment plants in Egypt. Bull Natl Res Cent 46, 70 (2022). https://doi.org/10.1186/s42269-022-00754-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s42269-022-00754-8

Keywords