( g/kg dry matter)
Less and more present congener reported values in a table line are in bold. Abbreviations: n.r. , not reported; 0 , not detected or under detection or quantification limits. Na , Naphthalene; Ace , Acenaphthylene; Ac , Acenaphtene; Fl , Fluorene; Phen , Phenanthrene; Ant , Anthracene; Fluo , Fluoranthene; Pyr , Pyrene; B[a]A , Benz[a]anthracene; Ch , Chrysene; B[b]F , Benzo[b]fluoranthene; B[k]F , Benzo[k] fluoranthene; B[a]P , Benzo[a]pyrene; B[e]P , Benzo[e]pyrene; D[ah]A , Dibenz[a,h] anthracene; B[ghi]P , Benzo[ghi]perylene; Ind , Indeno[1,2,3-cd]pyrene.
16 US EPA priority PAH: acenaphtene, acenaphthylene, anthracene, benzo[a]anthracene, benzo[b]fluoranthene, benzo[k]fluoranthene, benzo[ghi]perylene, benzo[a]pyrene, chrysene, dibenzo[a,h]anthracene, fluoranthene, fluorene, indeno[1,2,3-cd]pyrene, naphthalene, phenanthrene and pyrene.
9 CEC: EU proposed sum of PAHs (acenaphthene, fluorene, phenanthrene, fluoranthene, pyrene, benzo[b + j + k]fluoranthene, benzo[a]pyrene, indeno[1,2,3-cd]pyrene, benzo[ghi]perylene) should not exceed 6 mg/kg dry matter. in sludge for land application) ( EC, 2000 ) ; § reported concentrations for benzo[b + j + k]fluoranthene; §§ reported concentrations for benzo[b + k]fluoranthene.
The first lesson of Table 2 on metal concentrations in sludge is that there is a real scientific consensus for these elements. Zn is always the predominant metal in terms of concentrations. PTE is one of the few families of contaminants for which sequential or selective extraction approaches could be used to approach the key issue in contaminant risk assessment, which is bioavailability. The origins of PTEs in wastewater are also well described and understood and even some technical solutions for metal removal from sludge have been developed and proposed (see ( Babel and Del Mundo Dacera, 2006 ) for an example of review).
The fact that PAHs ( Table 3 ) are priority environmental pollutants relies mainly on their possible harmful effects on biota as well as carcinogenicity in humans. They are too lipophilic with low biodegradability and they accumulate in sludge, sediments, and soils. The main sources of sludge PAH are industrial wastes as well as domestic sewage, atmospheric rainfall, precipitation of airborne pollutants, and road surface and tire abrasion products (PAHs) ( Bomboi and Hernandez, 1991 ). We will emphasize the study of ( Stefaniuk et al., 2018 ), which proposes to analyze the freely dissolved PAH concentrations rather than the total concentrations in order to better estimate their potential environmental availabilities.
For so-called “emerging” contaminants, scientific works appear and a global scheme is emerging since a decade. These contaminants are considered emerging because either the current analytical techniques finally allow their analyses in sludge, or the new industrial and domestic uses of certain products increase their concentrations in environmental matrices. Among these compounds are prominent pharmaceuticals, personal care products and residues, endocrine disruptors, and, more recently, nanoparticles and microplastics. In the excellent review of Clarke and Smith (2011) , these authors ranked the following biosolid emerging contaminants (priority decreasing order): PFOS and PFOA, polychlorinated alkanes, polychlorinated naphthalenes, organotins, polybrominated diphenyl ethers, triclosan, triclocarban, benzothiazoles, antibiotics and pharmaceuticals, synthetic musks, bisphenol A, quaternary ammonium compounds, steroids, phthalate acid esters, and polydimethylsiloxanes.
The field of such OCs in sludge as well as their fates and behaviors following sludge land application are largely to be investigated to finally allow their comprehensive risk assessment and case-by-case sludge environmental (even ecotoxicological) assessments must be favored.
Sewage sludge contains biological agents that can be problematic for living organisms because some are pathogenic or may simply disturb natural ecosystems. Generally, four groups of pathogens can be found in sewage sludge: viruses, bacteria, parasites, and fungi. In fact, due to its very rich organic matter, sewage sludge can include many bacteria and fungi species in large quantities ( Fijalkowski et al., 2017 ). Other organisms such as viruses and parasites are also regularly present in sewage sludge ( Frąc et al., 2014 ). The concentration and type of pathogen depend on the type of WWTP, the source of wastewater, and some environmental factors ( Romdhana et al., 2009 ). However, the majority of these pathogenic organisms are derived from human or animal feces ( Bloem et al., 2017 ).
The microbial flora present in sewage sludge is very diverse and abundant due to the high content of organic matter. The majority of these bacteria are saprophytes; they are safe and play an important role in the process of wastewater treatment by forming flocs and degrading some contaminants ( Tozzoli et al., 2017 ). However, some of these bacteria are pathogenic. Huang et al. (2018) identified 243 potentially pathogenic bacterial species in activated sludge, including six major pathogens ( Bacillus anthracis , Clostridium perfringens , Enterococcus faecalis , Escherichia coli , Pseudomonas aeruginosa , and Vibrio cholera ) that can reach abundances of 14% of the bacterial flora. Others pathogens such as Salmonella , Shigella , Klebsiella , Serratia , Enterobacter, or Proteus have also been identified ( Korzeniewska, 2011 ). All these bacteria may cause various infections such as urinary tract infections ( E. coli ), pneumonia ( Klebsiella and Enterobacter ), blood infections ( Enterobacteriaceae ), and gastrointestinal infections ( E. coli , Salmonella ). These diseases can appear after contamination by gastrointestinal, respiratory, urinary, and biliary tracts ( Korzeniewska, 2011 ).
E. coli is already part of one of the quality criteria for sludge (European Directive 86/278/EEC) ( EC, 1986 ). Also, Salmonella is one of the most-studied bacteria in WWTP sludge ( Jr Krzyzanowski et al., 2016 ). These bacteria can survive once released into the environment in part through sludge spreading on agricultural plots ( Jr Krzyzanowski et al., 2016 ; Bloem et al., 2017 ; Ellis et al., 2018 ). Thus, the consumption of food from these lands could be a way of contamination. It has been shown that even with low concentrations of Salmonella in sludge, some vegetables such as lettuce ( Manios et al., 2013 ) and tomatoes ( Asplund and Nurmi, 1991 ) may contain those bacteria in their tissues ( Jr Krzyzanowski et al., 2016 ).
The risk of the presence of pathogenic bacteria could be aggravated by the presence of antibiotics in wastewater. This increases the number of antibiotic-resistant bacteria. Moreover, the high density of bacteria in WWTP reactors increases the probability of transfer of genetic material between bacteria ( Turolla et al., 2018 ). In Austria, for example, Galler et al. (2018) isolated three multiresistant enterobacteria (extended-spectrum β-lactamase bacteria (ESBL)) from activated sludge: Gram-negative bacilli, methicillin-resistant Staphylococcus aureus (MRSA), and Vancomycin-resistant enterococci (VRE)). This could pose sanitary problems because of the dispersion of such antibiotic-resistant bacteria through trophic webs and in the environment ( Reinthaler et al., 2013 ; Fijalkowski et al., 2017 ; Tozzoli et al., 2017 ).
The microflora of sewage sludge is also very rich in fungi ( Frąc et al., 2014 ). Fungi play a crucial role in the treatment of wastewater by participating in the degradation of various contaminants ( Tozzoli et al., 2017 ). Several are nevertheless pathogens for plants. For example, two common phytopathogens, M. circinelloides and G. citri-aurantii , are regularly observed and they affect crop yield by causing diseases in fruits and vegetables. In addition to this ecological and environmental/agronomic risk, with fungi being opportunistic organisms, they have potential pathogenic properties for humans and animals as well ( Frąc et al., 2014 ). Frąc et al. (2017) have found in sewage sludge the fungus Trichophyton sp., which is responsible for dermatophytose.
Due to the origin of wastewater, sludge regularly contains viruses, especially of an intestinal origin. Schlindwein et al. (2010) highlighted the most common viruses in WWTP sludge samples from Brazil and tested their viability. The most common viruses were the adenovirus (AdV), the rotavirus (RV), the poliovirus (PV), and finally the hepatitis A virus (HAV). The viability of RV and HAV is around 15%–25% while that of AdV and PV is very high (100% and 90%, respectively), which shows that water and sludge treatment processes are not sufficient to inactivate viruses. This highlights the potential sanitary risks of the dispersal of sludge in the environment.
Furthermore, Bibby and Peccia (2013) found that the most abundant pathogenic viruses were herpes viruses in some US sludge samples. DNA viruses (adenovirus, herpes virus, papillomavirus, and bocavirus) are present in 90% of the samples, and RNA viruses (coronavirus, klassevirus, and rotavirus) are present in 80% of the sludge samples. These viruses can cause serious respiratory and gastrointestinal infections in humans and animals.
Like bacteria, viruses are able to survive once in the environment. Bloem et al. (2017) reported the persistence of enteric viruses for about 100 days in soils.
Works on sewage sludge also reported the presence of parasites such as nematodes and cestodes. Some of them are pathogens for humans and animals and are responsible for various diseases ( Chaoua et al., 2017 ). Sludge frequently contains helminth eggs ( Ascaris , Trichuris , Toxocara ) ( Da Rocha et al., 2016 ), which are among the most resistant organisms to sludge treatment. Their survival has already been observed for several years after the biosolid to soil application ( Bloem et al., 2017 ).
Other parasites of the protozoan family are also present. Corrêa Medeiros and Antonio Daniel (2018) observed the presence of protozoan cysts in 100% of the samples they controlled and the presence of oocysts in more than half the same samples. A change in sludge treatment had no impact on the concentration and viability of these protozoan forms. Families with some pathogenic species for animals and humans have been observed such as Cryptosporidium , Giardia, and Entamoeba ( Sabbahi et al., 2018 ; Khouja et al., 2010 ).
Legislative pressure forces all countries to respect the common waste management hierarchy with prevention, reuse, recycling, and recovery the most preferable pathways while landfilling and disposal should be strictly limited ( Rorat and Kacprzak, 2017 ). Authorities, communities, wastewater industries should therefore apply environmental assessments as decision-making tools, in addition to the economic and technical evaluation of each proposed solution. Life Cycle Assessment (LCA) is a tool that allows quantifying the environmental impact/cost of particular options for management of sewage sludge in order to choose the best suitable option for each stakeholder. The result of an LCA shall be understood to be an environmental profile of total and single lifecycle stages considering the use of resources, human health, and ecologic consequences; it does not show any economic or social factors ( Cherubini et al., 2009 ). For instance, the impacts related to wastewater treatment could concern mainly: (1) energy consumption at different stages (global warming), (2) the presence of PTEs (toxicity) and (3) the content of chemical oxygen demand (COD), N and P (eutrophication) ( Feijoo et al., 2018 ). In the case of sewage sludge, most studies examine environmental aspects related to sludge application through fuel requirements (transport on agricultural land), introduction of metals into soils, the reduced use of mineral fertilizers, greenhouse gas emissions, carbon storage, and nutrient leaching ( Yoshida et al., 2013 ). Generally, land application is a contributor to global warming, eutrophication, and acidification while toxicity was considered to be related to the presence of Zn and Cu, according to ( Yoshida et al., 2018 ). Lundin et al. (2004) have compared four different options for final disposal of sewage sludge: agricultural application, coincineration with waste, incineration combined with phosphorus recovery, and fractionation with phosphorus recovery. In most aspects, the agricultural land disposal was recognized as the least preferable from an environmental point of view while other options have good potential of sustainability. Lately, Turunen et al. (2018) have developed a multiattribute value theory (MAVT)-based decision support tool (DST) in order to supply the simple scoring method to count the environmental risks of particular scenarios. The constructed value tree helped to select pyrolysis above the other tested alternatives of composting and incineration.
It is worth noticing that no universal solution can be pointed to as the environmental cost depends on local conditions, which can be highly variable between regions/countries. Often, the decision-making tools omit the problems of the properties of soil, climate, fauna, and flora present in the environment that can also greatly change the final impact of the sewage sludge on the ecosystems. Unfortunately, the most important decisions considering the treatment of sewage sludge are still being made based on economic and political criteria.
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The environmentally sound management of the increasing amounts of sewage sludges generated in urban centers is one of the greatest challenges of modern society. It is estimated more than half of the world’s population will be concentrated in urban areas by 2050. Sewage sludges contain organic matter and nutrients that can be reused in agriculture, but the public is concerned about its potential to contaminate natural ecosystems spreading hazardous trace elements, toxic organic pollutants, and pathogens to the environment. In this chapter, a broad approach on sewage sludge generation as well as modern treatments, disposal strategies, and adequate management practices at a global level will be addressed to properly educate the public population concerned with the use of this residue and to introduce the book contents. Currently, SSs are mostly landfilled or amended to soils, but they can also be incinerated or used in construction. Therefore, an overview of SS treatments, reuse, and disposal strategies is fundamental to guaranteed maintenance of ecosystem sustainability. Sewage sludge land application and its chemical and microbiological composition, as well as legislation, risk assessment, and methodological aspects related to its characterization, will also be addressed in this book trying to show their advantages and disadvantages. As would be expected, it will allow to review current science on sewage sludge management and to assure environmental sustainability.
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Jussara Borges Regitano, Mayra Maniero Rodrigues and Guilherme Lucio Martins contributed equally with all other contributors.
Department of Soil Science, “Luiz de Queiroz” College of Agriculture, University of São Paulo, Piracicaba, Brazil
Jussara Borges Regitano, Mayra Maniero Rodrigues, Guilherme Lucio Martins, Júlio Flávio Osti, Douglas Gomes Viana & Adijailton José de Souza
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Department of Soil Science, Academy of Biology and Biotechnology, Southern Federal University, Rostov-on-Don, Russia
Vishnu D. Rajput
Department of Biotechnology, Dr. Khem Singh Gill Akal College of Agriculture, Eternal University, Sirmour, India
Ajar Nath Yadav
Department of Soil Science and Agriculture Chemistry, Sri Karan Narendra Agriculture University, Jobner, Jaipur, India
Hanuman Singh Jatav
Department Soil Science and Agricultural Chemistry, Banaras Hindu University, Varanasi, India
Satish Kumar Singh
Tatiana Minkina
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Regitano, J.B., Rodrigues, M.M., Martins, G.L., Osti, J.F., Viana, D.G., de Souza, A.J. (2022). Sewage Sludge Management for Environmental Sustainability: An Introduction. In: Rajput, V.D., Yadav, A.N., Jatav, H.S., Singh, S.K., Minkina, T. (eds) Sustainable Management and Utilization of Sewage Sludge. Springer, Cham. https://doi.org/10.1007/978-3-030-85226-9_1
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Tertiary wastewater treatment technologies: a review of technical, economic, and life cycle aspects.
2. tertiary wastewater treatment technologies, 2.1. chlorination, 2.2. ultraviolet irradiation, 2.3. membrane filtration, 2.4. constructed wetlands, 2.5. microalgae, 2.6. ozonation, 2.7. photo-fenton, 3. benchmarking of tertiary wastewater treatment technologies, 4. conclusions, author contributions, institutional review board statement, data availability statement, conflicts of interest, abbreviations.
AO52 | acid orange 52 |
AOPs | advance oxidation processes |
ARB | anaerobic resistant bacteria |
ARG | antibiotic resistance genes |
BOD | biochemical oxygen demand |
BR | biofilm reactor |
COD | chemical oxygen demand |
CW | constructed wetlands |
EC | emerging contaminants |
GHG | greenhouse gases |
GO | graphene oxide |
HFCW | horizontal flow constructed wetlands |
HRAP | high-rate algal pond |
HRP | high-rate pond |
HSSF | horizontal subsurface flow |
LCC | life cycle costing |
MF | microfiltration |
MFCs | microbial fuel cells |
MWCNTs | multi-walled carbon nanotubes |
NF | nanofiltration |
PBR | photobioreactor |
PVDF | polyvinylidene fluoride |
RO | reverse osmosis |
SBR | sequencing batch reactor |
SPF | solar photo-Fenton |
TOC | total organic carbon |
UF | ultrafiltration |
UV | ultraviolet |
VFCW | vertical flow constructed wetlands |
Process Information | Technical | Economic (Cost EUR/m ) | Life Cycle (kg CO eq./m ) | Ref. | ||
---|---|---|---|---|---|---|
Microbial (Log Reduction) | Nutrients (% Reduction) | Pharmaceuticals (% Reduction) | ||||
Sulfamethoxazole 220 ng/L | 73 | [ ] | ||||
Ciprofloxacin 153 ng/L | 66 | [ ] | ||||
Norfloxacin 92 ng/L | 50 | [ ] | ||||
Tetracycline 86 ng/L | 39 | [ ] | ||||
Trimethoprim 155 ng/L | 65 | [ ] | ||||
Erythromycin 273 ng/L | 43 | [ ] | ||||
Diclofenac 40 μg/L | 97 | [ ] | ||||
Ibuprofen 40 μg/L | 0 | [ ] | ||||
Clofibric acid 40 μg/L | 5 | [ ] | ||||
Naproxen 40 μg/L | 11 | [ ] | ||||
Gemfibrozil 40 μg/L | 45 | [ ] | ||||
Mefenamic acid 40 μg/L | 12 | [ ] | ||||
E. coli 3.7 Log CFU/100 mL | 2.5 | [ ] | ||||
E. coli 4.34 Log CFU/100 mL | 2.57 | [ ] | ||||
Enterococci 3.46 Log CFU/100 mL | 1.18 | [ ] | ||||
Fecal coliforms 4.57 Log CFU/100 mL | 2.34 | [ ] | ||||
F-specific coliphage 2.33 Log CFU/100 mL | 0.71 | [ ] | ||||
Somatic coliphage 3.92 Log CFU/100 mL | 1.68 | [ ] | ||||
Adenovirus 0.97 Log CFU/100 mL | 0.81 | [ ] | ||||
Norovirus 0.74 Log CFU/100 mL | 0.74 | [ ] | ||||
Coliforms 4 Log CFU/100 mL | 4 | [ ] | ||||
Antib. Resist. Genes 6 Log | 1.97 | [ ] | ||||
E. coli 7 Log CFU/mL | 5 | [ ] | ||||
0.0003 | [ ] | |||||
0.005 | [ ] | |||||
0.006 | [ ] | |||||
0.046 | [ ] | |||||
0.007 | [ ] | |||||
0.004 | [ ] |
Process Information | Technical | Economic (Cost EUR/m ) | Life Cycle (kg CO eq./m ) | Ref. | ||
---|---|---|---|---|---|---|
Microbial (Log Reduction) | Nutrients (% Reduction) | Pharmaceuticals (% Reduction) | ||||
E. coli 5 × 10 CFU/100 mL | 4 | [ ] | ||||
E. coli 7.7 Log × 10 CFU/L | 3.82 | [ ] | ||||
Enterococci 8.56 Log × 10 CFU/L | 3.38 | [ ] | ||||
Fecal coliforms 8.26 Log × 10 CFU/L | 3.89 | [ ] | ||||
F-specific coliphage 6.4 Log × 10 CFU/L | 1.17 | [ ] | ||||
Somatic coliphage 7.36 Log × 10 CFU/L | 2.98 | [ ] | ||||
Adenovirus 2.73 Log gc/L | 0.24 | [ ] | ||||
Coliforms 5 Log CFU/mL | 4 | [ ] | ||||
Antib. Resist. Genes 6 Log | 1 | [ ] | ||||
Antib. Resist. Genes 5 Log copies/L | 2.5 | [ ] | ||||
E. coli 2 × 10 CFU/mL | 5.1 | [ ] | ||||
Sulfamethoxazole 250 ng/L | 100 | [ ] | ||||
Trimethoprim 90 ng/L | 100 | [ ] | ||||
Erythromycin 200 ng/L | 100 | [ ] | ||||
Acetaminophen 0.1 mM, caffeine 0.12 mM, antipyrine 0.05 mM, doxycycline 0.03 mM, ketorolac 0.05 mM | 100 | [ ] | ||||
Atrazine diuron, alachlor, pentachlorophenol 1 mg/L | 72 | [ ] | ||||
Boldenone 6.57 μM | 98 | [ ] | ||||
BPA 60 μM | 22 | [ ] | ||||
Butylparaben 8 × 10 M | 97 | [ ] | ||||
Carbamazepine 3 μΜ | 52 | [ ] | ||||
Chlorfenvinphos | 91 | [ ] | ||||
Ciprofloxacin | 99 | [ ] | ||||
Chloromycetin 10 mg/L | 80 | [ ] | ||||
Clofibric acid 10 mg/L | 98 | [ ] | ||||
Cyclophosphamide 10 μg/L | 28 | [ ] | ||||
Cytarabine 10 mg/L | 10 | [ ] | ||||
Diatrizoate 50 μM | 97 | [ ] | ||||
Diclofenac 20 mg/L | 74 | [ ] | ||||
Diphenhydramine 5 μM | 26 | [ ] | ||||
Doxycycline 5 × 10 M | 27 | [ ] | ||||
E1 20 mg/L | 69 | [ ] | ||||
E2 20 mg/L | 59 | [ ] | ||||
EE2 | 37 | [ ] | ||||
Hydrochlorothiazide 1 μM | 59 | [ ] | ||||
Ibuprofen 10 M | 74 | [ ] | ||||
Iopromide | 53 | [ ] | ||||
Iohexol 3 μΜ | 12 | [ ] | ||||
Irinotecan 10 µg/L | 18 | [ ] | ||||
Isoproturon 1 mg/L | 12 | [ ] | ||||
Ketoprofen 50 µM | 99 | [ ] | ||||
Mefenamic acid 5.5 Log M | 56 | [ ] | ||||
Melatonin 20 mg/L | 32 | [ ] | ||||
Metoprolol 5 × 10 M | 69 | [ ] | ||||
Metronidazole 6 μM | 55 | [ ] | ||||
Naproxen 3 μM | 65 | [ ] | ||||
NDMA 1 mM | 100 | [ ] | ||||
Norfloxacin 5 × 10 M | 55 | [ ] | ||||
Oxtetracycline | 93 | [ ] | ||||
Phenazone 5 μM | 96 | [ ] | ||||
Phenytion 5 μM | 88 | [ ] | ||||
Primidone 50 µM | 9 | [ ] | ||||
Propranolol 100 mg/L | 61 | [ ] | ||||
Sulfadimethoxine 3.2 mM | 99 | [ ] | ||||
Sulfamethoxazole 10 mg/L | 83 | [ ] | ||||
Tamoxifen 10 µg/L | 43 | [ ] | ||||
TCE 8.14 × 10 mol/L | 95 | [ ] | ||||
Tibetene 0.03 mM | 87 | [ ] | ||||
Bezafibrate 112 ng/L | 0 | [ ] | ||||
Metformin 1736 ng/L | 27 | [ ] | ||||
Carbamazepine 333 ng/L | 48 | [ ] | ||||
Gabapentin 1508 ng/L | 0 | [ ] | ||||
Diclofenac 925 ng/L | 96 | [ ] | ||||
Ketoprofen 40 ng/L | 97 | [ ] | ||||
Naproxen 372 ng/L | 70 | [ ] | ||||
Primidone 65 ng/L | 3 | [ ] | ||||
Atenolol 320 ng/L | 0 | [ ] | ||||
Metoprolol 255 ng/L | 0 | [ ] | ||||
Ciprofloxacin 72 ng/L | 56 | [ ] | ||||
Clarithromycin 187 ng/L | 10 | [ ] | ||||
Sulfamethoxazole 355 ng/L | 3 | [ ] | ||||
Trimethoprim 31 ng/L | 0 | [ ] | ||||
Iohexol 4313 ng/L | 16 | [ ] | ||||
Iomeprol 5806 ng/L | 0 | [ ] | ||||
Benzotriazole 6736 ng/L | 18 | [ ] | ||||
Atrazin 25 ng/L | 58 | [ ] | ||||
Isoproturon 4 ng/L | 0 | [ ] | ||||
Mecoprop 365 ng/L | 0 | [ ] | ||||
Terbutryn 23 ng/L | 39 | [ ] | ||||
0.00001 | [ ] | |||||
0.00644 | [ ] | |||||
0.0063 | [ ] | |||||
0.013 | [ ] | |||||
0.026 | [ ] | |||||
0.22 | [ ] |
Process Information | Technical Aspect | Economic Aspect (Cost EUR/m ) | Life Cycle (kg CO eq./m ) | Ref. | ||
---|---|---|---|---|---|---|
Microbial (Log Reduction) | Nutrients (% Reduction) | Pharmaceuticals (% Reduction) | ||||
UF enterococcus 1.87 × 10 CFU/100 mL | 5 | [ ] | ||||
UF other coliforms 5.05 × 10 CFU/100 mL | 2 | [ ] | ||||
UF N 3.62 mg/L | 10 | [ ] | ||||
UF P 1.86 mg/L | 9 | [ ] | ||||
UF K 16.15 mg/L | 0 | [ ] | ||||
NF-90 2 μg/L | 73 | [ ] | ||||
NF-200 neutral PhACs 65 μg/L | 70 | [ ] | ||||
NF-200 ionic PhACs 65 μg/L | 94 | [ ] | ||||
NF-90 neutral 65 μg/L | 97 | [ ] | ||||
NF-90 ionic 65 μg/L | 99 | [ ] | ||||
NF-90 65 μg/L | 73 | [ ] | ||||
UF 2000 0.5 mg/L | 70 | [ ] | ||||
UF-NF90 750 μg/L | 50 | [ ] | ||||
NF 270 RO 2 μg/L | 95 | [ ] | ||||
NF 150-RO 100 ng/L | 95 | [ ] | ||||
NF 200 100 ng/L | 80 | [ ] | ||||
UF 8000-NF 600 10 ng/L | 60 | [ ] | ||||
UF 8000 10 ng/L | 30 | [ ] | ||||
NF 90-RO 10 mg/L | 99 | [ ] | ||||
NF 200 21 ng/L | 100 | [ ] | ||||
NF 270 10 mg L | 60 | [ ] | ||||
NF270 800 μg/L | 58 | [ ] | ||||
NF90 750 μg/L | 97 | [ ] | ||||
RO 0.55 mg/L | 100 | [ ] | ||||
NF90 10 mg/L | 90 | [ ] | ||||
NF270 10 mg/L | 61 | [ ] | ||||
NF90 0.5 mg/L | 98 | [ ] | ||||
NF270 0.5 mg/L | 71 | [ ] | ||||
RO 0.5 mg/L | 89 | [ ] | ||||
NF90 5400 μg/L | 77 | [ ] | ||||
NF270 5400 μg/L | 58 | [ ] | ||||
RO 5400 μg/L | 93 | [ ] | ||||
UF-Atenolol 778 ng/L | 0 | [ ] | ||||
UF-Bezafibrate 208 ng/L | 21 | [ ] | ||||
UF-Caffeine 17,725 ng/L | 0 | [ ] | ||||
UF-Fenofibric acid 139 ng/L | 0 | [ ] | ||||
UF-Furosemide 1302 ng/L | 17 | [ ] | ||||
UF-Gemfibrozil 18,504 ng/L | 71 | [ ] | ||||
UF-Hydrochlorothiazide 16,628 ng/L | 90 | [ ] | ||||
UF-Ibuprofen 2514 ng/L | 1 | [ ] | ||||
UF-4-AAA 7364 ng/L | 0 | [ ] | ||||
UF-Naproxen 2672 ng/L | 12 | [ ] | ||||
UF-Nicotine 10,954 ng/L | 63 | [ ] | ||||
UF-Ofloxacin 94 ng/L | 0 | [ ] | ||||
RO-Atenolol 1044 ng/L | 100 | [ ] | ||||
RO-Bezafibrate 164 ng/L | 100 | [ ] | ||||
RO-Caffeine 6288 ng/L | 99 | [ ] | ||||
RO-Fenofibric acid 194 ng/L | 100 | [ ] | ||||
RO-Furosemide 811 ng/L | 100 | [ ] | ||||
RO-Gemfibrozil 1035 ng/L | 99 | [ ] | ||||
RO-Hydrochlorothiazide 239 ng/L | 95 | [ ] | ||||
RO-Ibuprofen 574 ng/L | 97 | [ ] | ||||
RO-4-AAA 4472 ng/L | 99 | [ ] | ||||
RO-Naproxen 2583 ng/L | 98 | [ ] | ||||
RO-Nicotine 75 ng/L | 76 | [ ] | ||||
RO-Ofloxacin 87 ng/L | 95 | [ ] | ||||
Including RO | 0.46 | [ ] | ||||
FO-NF | 0.96 | [ ] | ||||
UF-RO | 0.4 | [ ] | ||||
UF | 0.45 | [ ] | ||||
UF-RO | 0.8 | [ ] | ||||
UF-RO | 2.32 | [ ] | ||||
NF | 0.2 | [ ] | ||||
UF | 0.25 | [ ] | ||||
UF | 0.40 | [ ] | ||||
MF-RO | 0.89 | [ ] | ||||
UF-RO | 0.91 | [ ] |
Process Information | Technical Aspect | Economic Aspect (Cost EUR/m ) | Life Cycle (kg CO eq./m ) | Ref. | ||
---|---|---|---|---|---|---|
Microbial (Log Reduction) | Nutrients (% Reduction) | Pharmaceuticals (% Reduction) | ||||
16 s rDNA, intI1, and tet genes | 1.78 | [ ] | ||||
14 antibiotic resistance genes | 0.50 | [ ] | ||||
ARGs 8–9 Log of copies/mL | 0.49 | [ ] | ||||
N 23.4 mg/L | 5 | [ ] | ||||
P 0.2 mg/L | 0 | [ ] | ||||
N 29.3 mg/L | 35 | [ ] | ||||
P 0.2 mg/L | 50 | [ ] | ||||
N 17.3 mg/L | 39 | [ ] | ||||
P 0.2 mg/L | 50 | [ ] | ||||
N 1.39 mg/L | 66 | [ ] | ||||
P 3 mg/L | 46 | [ ] | ||||
N 84.4 mg/L | 63 | [ ] | ||||
P 28.2 mg/L | 92 | [ ] | ||||
N 35 mg/L | 46 | [ ] | ||||
N 72 mg/L | 99 | [ ] | ||||
P 11.7 mg/L | 97 | [ ] | ||||
65 pharmaceuticals 4.3 μg/L | 64 | [ ] | ||||
55 pharmaceuticals 300 ng/L | 43 | [ ] | ||||
53 pharmaceuticals | 50 | [ ] | ||||
56 pharmaceuticals 190 ng/L | 32 | [ ] | ||||
6 pharmaceuticals 7.6–150 μg/L | 93 | [ ] | ||||
Antibiotics 300 ng/L | 58 | [ ] | ||||
Pharmaceuticals 50–200 ng/L | 59 | [ ] | ||||
1.224 | [ ] | |||||
0.729 | [ ] | |||||
0.4 | [ ] | |||||
0.129 | [ ] | |||||
0.432 | [ ] | |||||
0.646 | [ ] | |||||
0.911 | [ ] | |||||
0.5 | [ ] | |||||
0.26 | [ ] | |||||
0.7 | [ ] |
Process Information | Technical | Economic (Cost EUR/m ) | Life Cycle (kg CO eq./m ) | Ref. | ||
---|---|---|---|---|---|---|
Microbial (Log Reduction) | Nutrients (% Reduction) | Pharmaceuticals (% Reduction) | ||||
N 40 mg/L | 55 | [ ] | ||||
P 80 mg/L | 15 | [ ] | ||||
N 52 mg/L | 82 | [ ] | ||||
P 8.5 mg/L | 95 | [ ] | ||||
N 18 mg/L | 100 | [ ] | ||||
P 1.4 mg/L | 84 | [ ] | ||||
N 46 mg/L | 94 | [ ] | ||||
P 5.5 mg/L | 95 | [ ] | ||||
Metronidazole 5 μM | 100 | [ ] | ||||
Florfenicol 46 mg/L | 97 | [ ] | ||||
Enrofloxacin 1 mg/L | 23 | [ ] | ||||
Tetracycline 100 μg/L | 99 | [ ] | ||||
Methyl parathion 20 mg/L | 80 | [ ] | ||||
Trimethoprim, Sulfamethoxazole, Triclosan 1.6 ng/L, 360 ng/L, 8 ng/L | 44 | [ ] | ||||
7-amino cephalosporanic acid 100 mg/L | 70 | [ ] | ||||
Cefradine 100 mg/L | 94 | [ ] | ||||
β-estradiol | 93 | [ ] | ||||
17 α-estradiol, 17 β-estradiol, Estrone, Estriol 5 μg/L | 90 | [ ] | ||||
Sulfathiazole, Sulfapyridine, Sulfamethazine, Sulfamethoxazole, Tetracycline, Oxytetracycline 200 μg/L | 47 | [ ] | ||||
Norfloxacin mg/L | 37 | [ ] | ||||
0.42 | [ ] | |||||
0.162 | [ ] | |||||
0.6 | [ ] | |||||
0.336 | [ ] |
Process Information | Technical | Economic (Cost EUR/m ) | Life Cycle (kg CO eq./m ) | Ref. | ||
---|---|---|---|---|---|---|
Microbial (Log Reduction) | Nutrients (% Reduction) | Pharmaceuticals (% Reduction) | ||||
Coliforms 4 Log CFU/100 mL | 4 | [ ] | ||||
Coliforms 5 Log MPN/100 mL | 2.5 | [ ] | ||||
Coliforms 5 Log MPN/100 mL | 2.2 | [ ] | ||||
Coliforms 7 Log MPN/100 mL | 4.8 | [ ] | ||||
E. coli 7.3 Log CFU/mL | 5.3 | [ ] | ||||
E. coli 4 Log CFU/mL | 2.2 | [ ] | ||||
Salmonella 2.9 Log CFU/mL | 2.2 | [ ] | ||||
Enterococcus 3 Log CFU/mL | 2.2 | [ ] | ||||
Carbamazepine | 75 | [ ] | ||||
Alachlor | 20 | [ ] | ||||
Bisphenol A | 60 | [ ] | ||||
Atrazine | 5 | [ ] | ||||
Pentachlorophenol | 35 | [ ] | ||||
17-α thinylestradiol | 80 | [ ] | ||||
Carbamazepine 1 μg/L | 100 | [ ] | ||||
Naproxen 1 μg/L | 100 | [ ] | ||||
Beclomethasone 1 μg/L | 70 | [ ] | ||||
Memantine 1 μg/L | 80 | [ ] | ||||
0.03 | [ ] | |||||
0.03 | [ ] | |||||
0.025 | [ ] | |||||
0.25 | [ ] | |||||
0.3 | [ ] | |||||
0.3 | [ ] |
Process Information | Technical | Economic (Cost EUR/m ) | Life Cycle (kg CO eq./m ) | Ref. | ||
---|---|---|---|---|---|---|
Microbial (Log Reduction) | Nutrients (% Reduction) | Pharmaceuticals (% Reduction) | ||||
S. aureus 6 Log CFU/mL | 6 | [ ] | ||||
MRSA ATCC 29213 6 Log CFU/mL | 6 | [ ] | ||||
E. coli 6 Log CFU/mL | 6 | [ ] | ||||
K. pneumoniae 6 Log CFU/mL | 6 | [ ] | ||||
MSSA 1112 6 Log CFU/mL | 6 | [ ] | ||||
MSSA 1112 RifR 6 Log CFU/mL | 6 | [ ] | ||||
MSSA 1112 CipR 6 Log CFU/mL | 6 | [ ] | ||||
MSSA 133 6 Log CFU/mL | 6 | [ ] | ||||
MSSA 133 CipR 6 Log CFU/mL | 6 | [ ] | ||||
MRSA PC1 6 Log CFU/mL | 6 | [ ] | ||||
VISA PC# 6 Log CFU/mL | 6 | [ ] | ||||
E. coli 4 Log CFU/mL | 1 | [ ] | ||||
Salmonella 2.9 Log CFU/mL | 2 | [ ] | ||||
Enterococcus 3 Log CFU/mL | 0 | [ ] | ||||
Sulfamethazine 50 mg/L | 100 | [ ] | ||||
Amoxicillin 50 mg/L | 100 | [ ] | ||||
Bezafibrate 112 ng/L | 0 | [ ] | ||||
Gemfibrozil 9 ng/L | 96 | [ ] | ||||
Metformin 1736 ng/L | 63 | [ ] | ||||
Carbamazepine 333 ng/L | 94 | [ ] | ||||
Gabapentin 1508 ng/L | 77 | [ ] | ||||
Diclofenac 925 ng/L | 100 | [ ] | ||||
Ketoprofen 40 ng/L | 97 | [ ] | ||||
Naproxen372 ng/L | 97 | [ ] | ||||
Primidone 65 ng/L | 77 | [ ] | ||||
Atenolol 320 ng/L | 87 | [ ] | ||||
Metoprolol 255 ng/L | 90 | [ ] | ||||
Ciprofloxacin 72 ng/L | 61 | [ ] | ||||
Clarithromycin 187 ng/L | 76 | [ ] | ||||
Sulfamethoxazole 355 ng/L | 82 | [ ] | ||||
Trimethoprim 31 ng/L | 88 | [ ] | ||||
Iohexol 4313 ng/L | 94 | [ ] | ||||
Iomeprol 5806 ng/L | 87 | [ ] | ||||
Benzotriazole 6736 ng/L | 95 | [ ] | ||||
Atrazin 25 ng/L | 82 | [ ] | ||||
Isoproturon 4 ng/L | 32 | [ ] | ||||
Mecoprop 365 ng/L | 93 | [ ] | ||||
Terbutryn 23 ng/L | 83 | [ ] | ||||
Ofloxacin 110 μg/L | 100 | [ ] | ||||
Carbamazepine130 μg/L | 96 | [ ] | ||||
Flumequine 145 μg/L | 98 | [ ] | ||||
Ibuprofen 130 μg/L | 95 | [ ] | ||||
Sulfamethoxazole 140 μg/L | 90 | [ ] | ||||
0.25 | [ ] | |||||
0.56 | [ ] | |||||
0.331 | [ ] | |||||
0.554 | [ ] | |||||
0.762 | [ ] |
Click here to enlarge figure
Category | Treatment Method | Technical | Economic (Cost EUR/m ) | Life Cycle (kg CO eq. m ) | ||
---|---|---|---|---|---|---|
Microbial (Log Reduction) | Nutrients (% Reduction) | Pharmaceuticals (% Reduction) | ||||
Physicochemical | Chlorination | 2.14 | 0 | 42 | 0.004 | 0.040 |
UV | 2.92 | 0 | 53 | 0.004 | 0.086 | |
Membrane filtration | 3.50 | 6 | 70 | 0.614 | 0.754 | |
Biological | Constructed wetlands | 0.87 | 53 | 57 | 0.784 | 0.511 |
Microalgae | 0.00 | 77 | 73 | 0.291 | 0.468 | |
Advanced oxidation | Ozonation | 3.18 | 0 | 63 | 0.030 | 0.219 |
Photo-Fenton | 4.93 | 0 | 84 | 0.405 | 0.549 |
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Zagklis, D.P.; Bampos, G. Tertiary Wastewater Treatment Technologies: A Review of Technical, Economic, and Life Cycle Aspects. Processes 2022 , 10 , 2304. https://doi.org/10.3390/pr10112304
Zagklis DP, Bampos G. Tertiary Wastewater Treatment Technologies: A Review of Technical, Economic, and Life Cycle Aspects. Processes . 2022; 10(11):2304. https://doi.org/10.3390/pr10112304
Zagklis, Dimitris P., and Georgios Bampos. 2022. "Tertiary Wastewater Treatment Technologies: A Review of Technical, Economic, and Life Cycle Aspects" Processes 10, no. 11: 2304. https://doi.org/10.3390/pr10112304
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