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Article

A Qualitative Approach to the Seismic Estimation of Wastewater Treatment Plants and Potential Impacts on the Hydrosphere

by
Ploutarchos N. Kerpelis
1,2,*,
Dimitrios E. Alexakis
2 and
Spyridon K. Golfinopoulos
1
1
Department of Financial and Management Engineering, School of Engineering, University of Aegean, 41 Kountourioti Str., GR-82132 Chios, Greece
2
Laboratory of Geoenvironmental Science and Environmental Quality Assurance, Department of Civil Engineering, School of Engineering, University of West Attica, 250 Thivon & P. Ralli Str., GR-12241 Athens, Greece
*
Author to whom correspondence should be addressed.
Water 2022, 14(20), 3225; https://doi.org/10.3390/w14203225
Submission received: 14 September 2022 / Revised: 7 October 2022 / Accepted: 8 October 2022 / Published: 13 October 2022

Abstract

:
Many quantitative and qualitative methods have been developed to estimate the seismic vulnerability of Wastewater Treatment Plants (WWTPs). The research approach using questionnaires is the most common qualitative process to quickly access estimation results. In the present study, the Experts’ Judgment method was implemented. A representative questionnaire was distributed to a hundred and sixteen (116) operators of Greece’s WWTPs according to proportional stratified sampling for seven months. The questionnaire was based on the main parameters that contribute to seismic vulnerability (structural, non-structural and operational matters). The examination of the results included the search for reliability and validity. Their collection also revealed that the average seismic vulnerability of the samples was found at a low level after a direct question, and was slightly increased after analyzing a group of questions. In the case of soil–water pollution during the post-seismic period, the answers showed low percentages for the contribution to the seismic vulnerability (at the partial mode), and divided answers existed at low and slightly increased percentages. Non-structural and operational vulnerability somewhat increased the percentages in the judgments. During the 24 h post-seismic period, the possibility of soil–water pollution was expected at low percentages and it remained constant. The results of this study could be compared to future surveys for qualitative approaches to disaster risks or could be used in addition to the results from quantitative methods.

Graphical Abstract

1. Introduction

An earthquake is a multi-parametric, probabilistic disaster. Prevention of the next seismic event is impossible, however estimating the values and parameters of a structure can be achieved using qualitative and parallel analytical methods [1,2,3,4]. Such qualitative methods are reported in the research into critical infrastructure [5], lifelines and utility networks [6], bridges [7] and other structures, as seismic impacts can influence humans and the environment generally [8,9,10]. Indicatively implemented methods, such as Rapid Visual Screening of structures, use questionnaires [11,12]. Additionally, questionnaires that use the expert’s judgement methodology for Wastewater Treatment Plants (WWTPs) were developed to measure structural, non-structural and operational vulnerabilities [13,14,15].
Worldwide, more than 80% of sewage produced by human activities is discharged into rivers and oceans without any treatment, thus posing the risk of dispersing infectious diseases. Additionally, 80% of diseases and 50% of child deaths are related to poor water quality [16]. Micropollutants, endocrine disruptors, pesticides, pharmaceuticals, hormones, toxins, and industry-related synthetic dyes are contaminants that may pose health risks [17]. Advanced technologies that remove wastewater pollutants using engineered nanoparticles have been developed [17,18]. Wastewater pollutants released in soil and water may affect the ecosystems and hydrosphere. The GIS platform and maps can assist in recording potentially toxic elements and represent cost-effective methods, as compared to other in situ estimating methods [19]. Removing pollutants, such as Ni and Cu, from aqueous media has been a challenging issue in many research projects [20].
The primary pieces of legislation in Europe and Greece includes Directives 91/271/EEC and 98/15/EC and concern urban wastewater treatment, while in relation to water matters, the Directives 2000/60/EEC established a framework for community action in the field of water policy and 2008/98/EC concerns waste management. Additional national legislation includes the Joint Ministerial Decision (JMD) 5673/400/1997 Government Gazette (GG) 192Β/14-3-1997, GG4685/2020 and GG405Β/3-4-2002. Additionally, Directive 2008/99/EC imposes environmental protection terms. The organization of the Special Secretariat for Water (SSW) of the Hellenic Ministry of Environment defines the existence of 256 WWTPs [21], which is controlled by 126 Municipal Sewage Companies in Greece [22]. Further, the Water Supply and Sewerage Company of Athens, called “EYDAP S.A.”, manages wastewater in the Attica region, which covers a significant percent (35%) of the country’s population.
Europe has recorded, through the European Environment Agency (EEA) and the platform of Openquake [23,24], settlements and WWTPs using the GIS platform [24], which are in compliance with European standards. Greek compliance with the legislation concerning WWTPs was recorded until 2016 [23]. Additionally, vulnerability studies for WWTPs in Greece are not included in the repository of the Global Earthquake Model-GEM, except for the social–economic impacts of the Athens earthquake in 1999 [25]. Nevertheless, no vulnerability map has been published yet. The EEA published interactive maps to show the degree of municipal wastewater treatment through Discomap services [26].
Seismic impacts have been recorded due to structural vulnerabilities, such as drainage system failures [27], which were caused by construction materials and the earthquake’s intensity. Non-structural vulnerabilities cause seismic impacts to systems such as fire-protection, electro-mechanical (for monitoring and early alarm) and mechanical equipment support, while insufficient maintenance can cause additional problems [28,29]. Operational vulnerabilities may cause the pollution of soil and water, the leakage of hazardous materials or odors [30], the degradation of the environment and impact public health and safety [31,32,33,34]. Contaminated soils [35,36,37,38,39] and disinfectants can worsen the effects on human health due to infectious diseases [40]. WWTPs can release liquid or aerial substances during the post-seismic period [41], which likely cause fires, as was the case during the Northridge earthquake in U.S.A. (1994) and the leakage of oil through the hydrographic network [42]. The environmental impact reduction [43,44] and the degradation of biodiversity and ecosystems in the polluted regions is one of the EU’s most important priorities (Natura 2000 network).
The categorization of analytical, empirical and experimental methods to estimate seismic vulnerability is a topic being discussed and the advantages/disadvantages have been recorded by researchers [1,45]. The methods to estimate a structure’s seismic vulnerability is divided into research concerning: (a) A specific WWTP and (b) the total number of WWTPs in a specific region.
The most common methods for specific WWTs include the Pushover analysis and the Incremental Dynamic Analysis using time series [1]. A typical case estimates using the empirical method to discover the expected level of damage as a function of seismic intensity (seismic hazard) and is quantifiable. The empirical methods used to estimate the seismic vulnerability of a structure are as follows: Damage Probability Matrices [45,46], Vulnerability Index Methods [3], the Italian method Gruppo Nazionale per la Difesa dai Terremoti of The National Group of Defense from Earthquakes, the macroseismic evaluation European Macroseismic Scale (EMS98) as RISK-UE [1]. Furthermore, the following methods were developed mainly to estimate the vulnerability of buildings, assuming that the magnitude of the expected losses is the same for the construction of the same category: (a) Empirical Indices of Vulnerability [6], (b) Experts’ Judgment and (c) Rapid Visual Screening.
Other combined approaches include hybrid methods. These are based on a combination of insufficient statistical injury data from previous earthquakes, thus resulting in extensive and incomplete analyses of representative buildings in each category [47,48]. The final stage of the seismic estimation of structures is the development of vulnerability curves.
The primary purpose of this study is to develop, for the first time, a qualitative approach to estimate the seismic vulnerability of WWTPs using the empirical method from the Experts’ Judgment for WWTPs in Greece. The study’s significance is the supplementation of existing analytical vulnerability estimating methods for these infrastructures in a fast and inexpensive way. Pre-estimation is the first and much needed stage of vulnerability studies, as revealed by the seismicity of Greece and demonstrated by maps of seismic risk (where vulnerability is a part of it) [49,50], by seismic impacts [51] and by a structure’s seismic rules [52]. In Greece, WWTPs treat municipal sewages according to the first European Directive 91/271/EC (1997), and the Directive was integrated into national legislation in the Official Government Gazette 192B/14-3-1997. In 2015, the country was condemned and fined by the European Court of Justice for its non-compliance with the WWTP of Thriasio—EL3000950197012: Case C119/02 and C328/16. These are relatively new structures (instituted in approximately the 1980′s) and have not been officially recognized as critical infrastructure yet (proven by the non-existence of education by the Center for Security Studies) [53]. The rapid seismic assessment of public buildings did not include these structures [54], and the European Program Syner-G analyzed a systemic approach for lifeline networks and infrastructure [55].

2. Potential Impacts on the Hydrosphere

The degradation of the environment can be attributed to many factors, including economic issues [56]. Water is one of the most significant resources necessary for human life [16,57], and many countries have established legislation and directives concerning water quality parameters [58]. The established legislation is essential to protect the environment and infrastructure from natural disasters [59].
WWTPs are indicators of the post-seismic assessment [60]. These are point sources of environmental facilities [61], and simultaneously, pipeline failures can cause localized sewage flooding [62]. In addition, the vulnerability of WWTPs that manage urban wastewater is greater than the vulnerability of WWTPs that manage industrial waste [27]. For example, the lakes in Lucerne and Geneva (Switzerland) tend to control the concentration of Pb, Cu, Zn, and Mn in surface water through the effective management of WWTP effluents [63].
Operational Vulnerability (OV), such as soil, water and air pollution due to the leakage of hazardous materials or odors [30], degrades the environment and public health and safety [34]. Volatile organic compounds are released after wastewater treatment [64]. Moreover, the World Health Organization has already recorded the pollutants that are released after an earthquake [65]. In China, treatment effluents differ according to the area (economic issues and population), treatment method, compliance with the environmental discharge standards, percentages of sludge treatment and the involvement of new technologies in the utilization of recycled wastewater [66]. The difference in efficiency among the 3508 WWTPs in the country is the result of the above factors.
As human health is threatened by infectious diseases [16,40], investigations into the environmental efficiency of these facilities have been carried out in European countries by searching for the effects of pollutants (such as nitrogen) [67]. Within the WWTPs and the surrounding areas, the result is the further increasing of the possibility of contaminated soils [35] and increasing the necessary cleaning of the facilities caused by the sewage with the use of disinfectants that have adverse consequences for human health [68]. Organic substances of raw or treated wastewater can cause eutrophication, and a relationship exists between algae and the sewage [69]. Additionally, pesticides from WWTP effluents are a significant stressor on ecosystem quality and condition, thus affecting the macroinvertebrate community [70].
Mitigating the impacts on the environment and biodiversity of the ecosystem is a vital priority of the European Union (which has established natural areas) [43,44]. The legal aspect of the pollution of water resources is also essential. Countries such as Canada have doubted the current treatment management status of wastewaters [71].
Researchers have recorded seismic impacts in WWTPs and the consequences to the hydrosphere in specific periods [27,62,72]. In regards to the Loma Prieta (U.S.A.) earthquake (1989), extreme fires after the quake were noticed, while raw sewage was discharged to the Monterey Bay and San Francisco Bay ports. The earthquake occurred in 1993 in the region of Iowa (U.S.A.) and severely damaged WWTP tanks, which consequently flooded the surrounding area [73].
In the Northridge earthquake (1994), more than 1,400 failures in the drinking water network in Los Angeles and other malfunctions for more than thirty (30) days were observed [6]. Fifty-eight (58) people were killed, 1500 people were injured, and approximately 125,000 residents were evacuated from the Los Angeles area [74]. The earthquake caused hazardous materials to be released and this occurred during the quake. In the post-seismic period, a storm caused a mixture of oil and sewage to spread contamination in river water 12 miles away [42].
In 1995, during the Kobe (Japan) earthquake, wastewater was accidentally discharged into Osaka Bay without any treatment. Additionally, the Kobe earthquake caused damage to three main pipes and 86 finished water reservoirs that supplied the city of Kobe, as well as soil liquefaction in the broader area of the city [75]. Severe damage to the water network was observed during the earthquakes in Izmit and Kokaeli (Turkey, 1999). About 45% of the pipeline networks were destroyed, while 55% showed leakage [74]. In 2003, during the Bam earthquake (Iran), significant differences were detected in the concentration of substances in groundwater before and after the earthquake [76]. In 2003, during, the Lefkada earthquake (Greece), considerable damage was recorded in the water supply network due to subsidence throughout the city. In 2004, during the earthquake and tsunami, the sewage tanks were flooded in the coastal areas surrounding the Indic Ocean [77].
In 2009, during the L’Aquila earthquake (Italy), two WWTPs had many operational problems [78]. Liquefaction and soil movements caused the destruction of two sewage wells, which were observed after the earthquake occurred in Canterbury (New Zealand) in 2010. Indirect effects, such as public health issues, drinking water pollution in building taps, stream pollution and groundwater pollution, were observed. The Maule earthquake (Chile) in 2010 resulted in massive soil vibrations, liquefaction and a tsunami. Systems of gas and water supplied to four-million people were affected. Damage to medium and large-diameter pipes, causing the direct discharge of raw sewage into the Biobio river, was detected [79].
After the Christchurch earthquake (New Zealand, 2011), the 6% of network pipes were destroyed, while 27% were only partially operational. In some areas, sewage discharges went directly to the water receivers, while the inflow of sediments into the pipelines caused them to become clogged. Pollution of the river was also detected [80]. The earthquake caused more than 180 deaths. During the post-seismic period, only 30% of WWTPs were operational. Untreated sewage was discharged into the river. Groundwater infiltrated the pipeline network, increasing the need for treatment. The most extensive damage was found near the river banks due to soil liquefaction [74].
The Great East Earthquake (Japan, 2011) has killed about 16,000 people. The direct results included failures in the 102 km pipeline, soil liquefaction and severe malfunctions in more than 120 WWTPs for a three-month period, while many households had no access to clean water or sanitation. Untreated sewage and effluents were also discharged into water bodies [81]. Moreover, the earthquake in Kumamoto (Japan, 2016) had many impacts on groundwater quality [82].

3. Methodology

3.1. Application of the Experts Judgement Method

According to Kassem et al. [1], experts estimate the seismic risk in combination with other empirical methods, such as Rapid Visual Screening assessment. This contributes to the vulnerability index methods, such as the National Group of Defense from Earthquakes, denoted by the Gruppo Nazionale per la Difesa dai Terremoti-GNDT approach, where the weight values are dependent on the experts’ opinion. The behavior modifier and the regional vulnerability are significant factors in the empirical method of the EMS98 approach (RISK-UE), which relies on expert judgment [1].
The methodology of this study is based on expert judgment, which includes questionnaires to record the experts’ opinions and observations about vulnerability. The process comprises the administration of a questionnaire to a representative sample of WWTPs. Five Likert scales are implemented, and each number represents a range of 20%, as shown in Table 1.
Another similar case is the implementation of the method where a District’s responsibilities already include the rapid visual estimation for existing buildings in the Earthquake Planning and Protection Organization-EPPO [7,12] and Federal Emergency Management Agency-FEMA [11].

3.2. Representative Sample

The SSW demonstrates that the amount of WWTPs in Greece is 256, which are owned by Athens EYDAP S.A. and the 126 Municipal Companies of Water and Sewage Supply (called DEYA) [21]. However, the total number of WWTPs is 241 (using SSW data) after removing facilities with missing data.
The examined WWTPs are classified into four categories: (a) The Earthquake Hazard Zone (EHZ), (b) the degree of the sewage treatment, (c) their processing capacity and (d) the receiving water body.
The method of proportional stratified sampling, as suggested by Robson [83], was selected for this study. Kirchhoff and Watson [84] also applied the same approach to study the adaptation of WWTPs to climate change. The percentage of examined WWTPs (n = 116) is identical to the corresponding percentage of existing WWTPs (n = 241) for each category (Table 2).
The first categorization was completed according to the seismicity of the WWTPs’ region. The Greek EHZ is presented on a map containing three types of predictable seismic accelerations on the ground and shows three Zones in the whole territory, according the Greek Official Gazette 1154/vol.B/12.8.2003 [52].
The second categorization was completed according to the degree of wastewater treatment of the WWTPs. This infrastructure uses three treatment processes (primary treatment-PT, secondary treatment-ST and tertiary treatment-TT), according to what is needed [85]. By default, the study argued for only two categories (ST and TT) because PT does not stand alone in the catalogue.
The third categorization was completed according to the processing capacity of WWTPs in the settlements [21]. In Greece, WWTPs are categorized in three types according to the capacity (equivalent population): (a) 2000–10,000, (b) 10,000–100,000 and (c) more than 100,000 [27].
Furthermore, the fourth category included the receiving water bodies. There are two types in relation to this (sensitive and normal receiving water bodies), according to the SSW.

Percentages of the Statistical Population of WWTPs

The percentages of the WWTPs, applied treatment, capacity and receiving water body are presented in Table 2.
The categorization of WWTPs, based on the proportional stratified sampling, is shown in Figure 1, Figure 2 and Figure 3.
The final sample was selected using random sampling from the above sub-categories (Figure 4a,b).
The EHZ III category (the country’s riskiest earthquake area) does not participate in the sample composition’s sub-categories.

3.3. The Questionnaire

In the present study, it was assumed that the Structural Vulnerability (SV), Non-Structural Vulnerability (NSV) and Operational Vulnerability (OV) contributed to seismic vulnerability, and that these parameters must be estimated through a questionnaire. The use of variables was supported in many other studies [86,87]. A comparative study of global building seismic vulnerability assessment methods highlights the factors affecting it [88]. Seismic impacts on buildings have been recorded [89]. The seismic vulnerability depended on the soil and terrestrial data [90,91]. Structural and non-structural parameters have been presented by researchers [91] and Scientific Organizations, such as the EPPO [54,92]. Similar parameters to evaluate seismic vulnerability in this study have been applied for both building structures [54] and WWTPs [27,93,94].
The final questionnaire used in the present survey consisted of 48 questions, which were organized into six subsections [95]: (a) Demographics (eight questions), (b) SV (seven questions), (c) NSV (ten questions), (d) OV (thirteen questions), (f) chronic evolution of the soil–water pollution (six questions) and (g) coefficients of the variables (four questions). Coefficients were used in similar surveys [6,96].
The questions were of a closed type and used a five-degree Likert Scale to be easy for the recipients to answer [97]. To ensure the reliability of the answers, some questions were repeated.

3.4. Recipients of the Questionnaire

The recipients of the questionnaire were the operators of the WWTPs. The recipients preferably had a professional role in the plant to ensure that the answers were valid. The experience and unbiased disposition of the recipients were among the essential criteria for selecting experts. The anonymity of the recipients was declared and ensured during the completion of the questionnaire.

3.5. Pilot and Primary Survey

A pilot survey was essential for the final writing of the questionnaire [98], and this required a random set of WWTPs. The anonymity of the recipients was preserved during the survey. The completion of the questionnaire required at least 60 min. The questionnaire was distributed through the internet using the Google® Forms platform following telephone communication with the recipients. The duration of the primary survey was seven months (April to November 2021).

4. Results and Discussion

4.1. Validity and Reliability

Similar previous findings cannot justify the results of this study. The reason is that an estimation of WWTPs in Greece that considers the SV, NSV and OV using a questionnaire has not been conducted yet. Analytical methods are focused on certain pollutants, processes of the infrastructure or specific geographic areas (such as Thessaloniki at Syner-G project), thus focusing on parameters such as interoperability among the people involved.
The Content Validity of the questionnaire was one, as the whole number of recipients (100%) completed the questionnaire [99]. The Pilot distribution of it and the characteristics of the recipients (as expert operators of the WWTPs) assist the Construct Validity of it. The Face Validity is ensured by the fact that the recipients agree that the questionnaire is suitable for the estimation of seismic vulnerability, and they completed it. Similar surveys only checked the validity by the Pilot distribution of the questionnaire (65%) [84].
The Split-half reliability of the partial questions of Chapter 2, 3 and 4 (concerning SV, NSV and OV) revealed a Spearman-Brown Coefficient of 0.877, which is greater than the criterion for reliable surveys of 0.70 proposed by Galanis [99]. The Internal Consistency Reliability of all the partial questions (after the removal of trap-questions) was found to be 0.906 [99,100]. The inspection of the reliability between the trap-questions and the original questions was over 0.628, which is considered to be a tolerable limit by some researchers [101]. The reliability of the collective questions concerning soil–water pollution in comparison to the seismic vulnerability of each chapter (SV, NSV and OV) was 0.831.

4.2. Descriptive Statistics

Using descriptive statistics revealed the following percentages for the frequencies of the questionnaire’s variables:
(a)
Part 1: Demographic characteristics of the recipients and their general judgment of seismic vulnerability of the WWTPs are shown in Figure 5, Figure 6 and Figure 7.
(b)
Part 2: Structural vulnerability is presented in Figure 8. It was noticed that, after the year 2000, new anti-seismic codes were implemented for the structures in Greece.
(c)
Part 3: NSV parameters and their estimation from the recipients during the post-seismic period are presented in Figure 9.
(d)
Part 4: OV characteristics of WWTPs and their estimation by the recipients are shown in Figure 10.
(e)
Part 5: Soil–water parameters estimate the seismic vulnerability during the first 24 h after the main seismic strike (Figure 11).
(f)
Part 6: The recipients compared the three types of vulnerability (SV, NSV and OV) to each other to obtain coefficients of the variables. Specific questions were distributed to 43 random recipients (37% of the 116 WWTPs) over three months (August to November 2021). Comparing each question of Parts 2–4 with the other questions of the same Part also showed negligible differences (Table 3).

4.3. Synopsis of Main Results

The recipients of the questionnaire were men (62.9%), over 40 years old (66.4%), educated in sewage treatment (54.3%) with a great experience over ten years (46.6%) and most of them hold a responsible position (42.2%). According to the Likert scale (Table 1), the percentages of the most popular answers of the recipients were the following:
  • 34.5% judged that the seismic vulnerability as Class A (which was the only direct question);
  • 41.4% judged that the seismic vulnerability can cause soil–water pollution (Class A);
  • 32.8% answered that the seismic vulnerability depends on the SV (Class A);
  • 49.1% answered that the SV can cause soil–water pollution (Class A);
  • 38.8% answered that the seismic vulnerability depends on the NSV (Class B);
  • 40.5% answered that the NSV can cause soil–water pollution (Class A);
  • 46.6% judged that the OV contributes to soil pollution (Class A);
  • 48.3% judged that the OV contributes to water pollution (Class A);
  • 40.5% judged that the OV contributes to air pollution (Class A);
  • 55.2% answered that the problems of operationality can be attributed to seismic vulnerability (Class A);
  • 50.9% answered that seismic vulnerability depends on the OV (Class B);
  • 37.9% (Class A) and 39.7% (Class B) judged that the soil–water pollution can be attributed to seismic vulnerability;
  • During the 24 h post-seismic period, the degree of soil–water pollution remains constant; and
  • 46.5%, 51.2% and 37.2% answered, respectively, that the SV, NSV and OV contribute to seismic vulnerability (Class A).
The judgement of the recipients concerning seismic vulnerability (Class A) is justified by the fact that these treatment plants are modern facilities that have been operating after 1995 (of the new Anti-seismic Codes in Greece) (72.4%).
After the exclusion of the trap-questions and the direct questions about seismic vulnerability, the group of questions relating to SV consisted of four (4) questions, the group of NSV consisted of six (6) questions, and the group of OV consisted of nine (9) questions. Each question represented a variable concerning its group. The statistical average of each group’s questions and the average of the three groups were revealed.
The analysis of the groups SV, NSV and OV revealed that the seismic vulnerability was 1.8795, representing 37.6%, using linear interpolation according to the Likert Scale (Table 4). 41.4% of the recipients estimated that seismic vulnerability could cause soil–water pollution (Class A). 49.1%, 40.5% and 55.2% of the recipients reported that, in the case of SV, NSV and OV, respectively, it could cause potential soil–water pollution (Class A). Nevertheless, there exists a sensitivity of WWTPs concerning the issues of OV as the processes during the wastewater treatment are very sensitive and significant parameters are involved. Their percentage for the caution of problems is Class B, in contrast to the answers (Class A) for SV and NSV (49.1% and 40.5%, respectively). Additionally, when they judged the OV partially for its contribution to soil, water and air, the answers belonged to Class A for soil, water and air pollution (46.6%, 48.3% and 40.5%, respectively). Low estimations (Class A) were recorded due to the modern legislation concerning safety and health, and the infrastructure was constructed using new Seismic Codes.
A significant difference was observed between the SV and the NSV–OV. The percentages for the SV ranged from 0% to 20%, while both the percentages for NSV and OV varied between 20% and 40%. This difference can be attributed to the non-existence of strict legislation for NSV, and the experts treat the issue of heavy elements dispersion or release of hazardous materials as unimportant. Sensitivity about the problems that may arise from the soil and water can explain the differences recorded by the experts’ replies. The recipients assumed that, during the first 24 h of the post-seismic period, the operators will suggest the appropriate actions to control the contamination.
All the recipients agreed on the coefficients of each question, as compared to other coefficients of the same group (SV, NSV and OV). Comparing the magnitude between SV, NSV and OV, the experts’ answers showed that all categories of vulnerabilities have the same coefficient. Most recipients judged that there was insufficient space to use coefficients and this was probably due to the accepted assumptions.

5. Conclusions

The seismic vulnerability of the WWTPs falls into Class A according to 34.5% of experts, based on a direct and single question. An alternative approach, according to the analysis of the three groups of variables (for SV, NSV and OV) revealed 37.6%. 32.8% of recipients answered that the SV falls into Class A, while 38.8% and 50.9% of the recipients answered that NSV and OV falls into Class B, respectively. The results of NSV and OV were according to the findings derived by the approach of the total number of parameters (37.6%). According to 41.4% of experts, the seismic vulnerability controls soil–water pollution (Class A). The 49.1% and 40.5% of the experts have answered that the contributions of SV and NSV, respectively, to seismic vulnerability corresponds to Class A, while 50.9% of the experts replied that the OV contribution to seismic vulnerability corresponds to Class B. These results highlighted differences among the recipients’ answers using the seismic vulnerability variables.
Rapid estimation of the seismic vulnerability of WWTPs could increase the protection of ecosystems and water bodies in parallel with new and old sewage treatment processes. According to the present study, the seismic vulnerability of WWTPs will boost the pre-estimation to save time and money because the analytical methods need extra resources. Further, indicators must be defined for each of these case studies, especially in the case of emerging contaminants (mentioned in the introduction). Authorities cooperating with civil protection can implement proactive planning and propose protective measures. The initial results of the survey can be combined with quantitative surveys in the future to estimate the seismic vulnerability of WWTPs. Additionally, the implementation of the method can be used for different types of investigations, such as risk disaster estimations, vulnerability estimations of climate change and more other studies.

Author Contributions

Conceptualization: D.E.A.; methodology: P.N.K.; software, figures development: P.N.K.; formal analysis, investigation: D.E.A., S.K.G. and P.N.K.; resources: D.E.A., S.K.G. and P.N.K.; data curation: D.E.A. and S.K.G.; writing original draft preparation: P.N.K.; writing review and editing: D.E.A., S.K.G. and P.N.K.; supervision: S.K.G. and D.E.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data is contained within the article.

Acknowledgments

The authors express their gratitude to the WWTPs recipients’ contribution (whose completed the Questionnaire).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Kassem, M.M.; Nazri, M.F.; Farsangi, N.E. The Seismic Vulnerability Assessment Methodologies: A State-of-the-Art Review. Ain Shams Eng. J. 2020, 11, 849–864. [Google Scholar] [CrossRef]
  2. Pitilakis, K.; Alexoudi, M.; Argyroudis, S.; Monge, O.; Martin, C. Vulnerability and Risk Assessment of Lifelines. In Assessing and Managing Earthquake Risk; Springer: Berlin/Heidelberg, Germany, 2006; pp. 185–211. [Google Scholar]
  3. Risk-UE. An Advanced Approach to Earthquake Risk Scenarios with Applications to Different European Towns (RISK-UE)|RISK-UE Project (FP5-CORDIS-European Commission). Available online: https://cordis.europa.eu/project/id/EVK4-CT-2000-00014 (accessed on 20 August 2021).
  4. Guo, M. Soil Sampling and Methods of Analysis. J. Environ. Qual. 2009, 38, 375. [Google Scholar] [CrossRef]
  5. Leventakis, G. Security of Systems and Critical Infrastructure. Implementation in Heterogeneous and Interconnected Transport Networks. Ph.D. Thesis, University of Aegean, Mytilene, Greece, 2013. Available online: https://docplayer.gr/16315231-Asfaleia-systimaton-kai-krisimon-ypodomon-efarmogi-se-eterogeni-kai-diasyndedemena-diktya-metaforon.html (accessed on 20 May 2022).
  6. Alexoudi, M. Contributing to the Analysis of the Seismic Vulnerability of Networks of General Interest in an Urban Environment. Development of an Integrated Seismic Risk Management Methodology. Ph.D. Thesis, Aristotle University of Thessaloniki, Thessaloniki, Greek, 2005. Available online: https://thesis.ekt.gr/thesisBookReader/id/18992?lang=el#page/1/mode/2up (accessed on 20 May 2022).
  7. EPPO Seismic Vulnerability Assessment Methodology of Existing Bridges. Available online: https://www.oasp.gr/node/2303 (accessed on 27 August 2020).
  8. Dandoulaki, M. Spatial Planning and Seismic Protection in Greece. Ph.D. Thesis, NTUA, Athens, Greek, 2008. Available online: https://thesis.ekt.gr/thesisBookReader/id/16271#page/1/mode/2up (accessed on 27 August 2021).
  9. Sapountzaki, K.; Dandoulaki, M. Risks and Disasters. Concepts and Tools for the Evaluation, Protection, Management; Association of Greek Academic Libraries, Kallipos: Zografou, Greek, 2015; Available online: https://repository.kallipos.gr/handle/11419/6297 (accessed on 27 August 2020). (In Greek)
  10. Animah, I.; Shafiee, M. Application of Risk Analysis in the Liquefied Natural Gas (LNG) Sector: An Overview. J. Loss Prev. Process Ind. 2020, 63, 103980. [Google Scholar] [CrossRef]
  11. FEMA. Rapid Visual Screening of Buildings for Potentional Seismic Hazards: A Handbook; FEMA: Colombia, WA, USA, 2015. [Google Scholar]
  12. EPPO Structural Vulnerability Checking. Available online: https://www.oasp.gr/node/76 (accessed on 30 April 2020).
  13. Kerpelis, P.N.; Golfinopoulos, S.K.; Alexakis, D.E. A Proposed Theoretical Approach for the Estimation of Seismic Structural Vulnerability of Wastewater Treatment Plants. Sustainability 2021, 13, 4835. [Google Scholar] [CrossRef]
  14. Kerpelis, P. Assessment of Structural and Non-Structural Vulnerability of Sewage Treatment Plants, through a Questionnaire. In Proceedings of the 6th International Conference SafeCorfu 2019, Corfu, Greece, 6–9 November 2019; pp. 133–136. [Google Scholar]
  15. McFadden, L. An All-Hazard Approach to Building Resilience. In Proceedings of the 6th EWA/JSWA/WEF Joint Conference “The resilience of the Water Sector”, Munich, Germany, 15–18 May 2018; p. 34. [Google Scholar]
  16. Lin, L.; Yang, H.; Xu, X. Effects of Water Pollution on Human Health and Disease Heterogeneity: A Review. Front. Environ. Sci. 2022, 10, 975. [Google Scholar] [CrossRef]
  17. Khan, S.; Naushad, M.; Govarthanan, M.; Iqbal, J.; Alfadul, S.M. Emerging Contaminants of High Concern for the Environment: Current Trends and Future Research. Environ. Res. 2022, 207, 112609. [Google Scholar] [CrossRef]
  18. Khan, S.; Naushad, M.; Al-Gheethi, A.; Iqbal, J. Engineered Nanoparticles for Removal of Pollutants from Wastewater: Current Status and Future Prospects of Nanotechnology for Remediation Strategies. J. Environ. Chem. Eng. 2021, 9, 106160. [Google Scholar] [CrossRef]
  19. Khan, S.; Naushad, M.; Lima, E.C.; Zhang, S.; Shaheen, S.M.; Rinklebe, J. Global Soil Pollution by Toxic Elements: Current Status and Future Perspectives on the Risk Assessment and Remediation Strategies—A Review. J. Hazard. Mater. 2021, 417, 126039. [Google Scholar] [CrossRef]
  20. Khan, S.; Dan, Z.; Mengling, Y.; Yang, Y.; Haiyan, H.; Hao, J. Isotherms, Kinetics and Thermodynamic Studies of Adsorption of Ni and Cu by Modification of Al2O3 Nanoparticles with Natural Organic Matter. Fuller. Nanotub. Carbon Nanostruct. 2018, 26, 158–167. [Google Scholar] [CrossRef]
  21. Special Secretariat of Water WTPs—Database for Monitoring of Operation. Available online: http://astikalimata.ypeka.gr/Services/Pages/WtpViewApp.aspx (accessed on 5 September 2021).
  22. Association of Municipal Water and Sewerage Companies Catalog of Municipal Companies of Water and Sewage (DEYA). Available online: https://www.edeya.gr/ (accessed on 21 July 2021).
  23. EEA Interactive Maps and Data Viewers by Category—European Environment Agency. Available online: https://www.eea.europa.eu/themes/water/european-waters/water-use-and-environmental-pressures/uwwtd/data-viewer-urban-wastewater-treatment-directive-1/urban-waste-water-directive-treatment (accessed on 18 October 2020).
  24. EEA Waterbase-UWWTD: Urban Waste Water Treatment Directive. Available online: https://www.eea.europa.eu/data-and-maps/data/waterbase-uwwtd-urban-waste-water-treatment-directive-6 (accessed on 21 October 2020).
  25. Openquake Recording of Earthquake Impacts-Athens 1999. Available online: https://platform.openquake.org/ecd/eventdetails/21?studyid=0&f_b=False&f_c=False&f_i=True&f_p=False&f_s=False&all=False (accessed on 10 August 2022).
  26. EEA-Discomap. European Environment Agency. Available online: https://discomap.eea.europa.eu/Index/ (accessed on 19 October 2020).
  27. Panico, A.; Lanzano, G.; Salzano, E.; Santucci De Magistris, F.; Fabbrocino, G. Seismic Vulnerability of Wastewater Treatment Plants. Chem. Eng. Trans. 2013, 32, 13–18. [Google Scholar]
  28. Farokhnia, K.; Porter, K. Estimating the Non-Structural Seismic Vulnerability of Building Categories. In Proceedings of the 15th World Conference on Earthquake Engineering, Lisbon, Portugal, 24–28 September 2012; Volume 10. [Google Scholar]
  29. Stamatakis, A. Seismic Vulnerability of Water and Sewage Networks. Bachelor’s Thesis, NTUA, Athens, Greek, 2012. Available online: https://dspace.lib.ntua.gr/xmlui/handle/123456789/5934 (accessed on 20 October 2021).
  30. Fabiyi, M. Characterizing Air Emissions from Wastewater Facilities. In Proceedings of the 23rd International Petroleum Environmental Conference; Hydromantis Environmental Software Solutions, New Orleans, LA, USA, 8–10 November 2016; p. 29. [Google Scholar]
  31. Schiff, A.J.; Tang, A.K. Chi-Chi, Taiwan, Earthquake of September 21, 1999: Lifeline Performance; ASCE: Reston, VA, USA, 2000; p. 222. [Google Scholar]
  32. Tang, A.K.; Eng, P.; Eng, C.; Asce, F. Lifelines Performance of the Mw 8.8 off Shore Biobío, Chile Earthquake. Procedia Eng. 2011, 14, 922–930. [Google Scholar] [CrossRef]
  33. Zare, M.R.; Wilkinson, S.; Potangaroa, R. Earthquake Damage in Wastewater Systems and Postearthquake Repair Methods; Limitation and Practice. In Proceedings of the Australian Earthquake Engineering Society Conference, Barossa Valley, Australia, 1–2 January 2011. [Google Scholar]
  34. Donohue, S.; McCarthy, V.; Rafferty, P.; Orr, A.; Flynn, R. Geophysical and Hydrogeological Characterisation of the Impacts of On-Site Wastewater Treatment Discharge to Groundwater in a Poorly Productive Bedrock Aquifer. Sci. Total Environ. 2015, 523, 109–119. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Alexakis, D. Human Health Risk Assessment Associated with Co, Cr, Mn, Ni and V Contents in Agricultural Soils from a Mediterranean Site. Arch. Agron. Soil Sci. 2016, 62, 359–373. [Google Scholar] [CrossRef]
  36. Alexakis, D.; Gamvroula, D.; Theofili, E. Environmental Availability of Potentially Toxic Elements in an Agricultural Mediterranean Site. Environ. Eng. Geosci. 2019, 25, 169–178. [Google Scholar] [CrossRef]
  37. Alexakis, D.E. Contaminated Land by Wildfire Effect on Ultramafic Soil and Associated Human Health and Ecological Risk. Land 2020, 9, 409. [Google Scholar] [CrossRef]
  38. Alexakis, D.E.; Bathrellos, G.D.; Skilodimou, H.D.; Gamvroula, D.E. Spatial Distribution and Evaluation of Arsenic and Zinc Content in the Soil of a Karst Landscape. Sustainability 2021, 13, 6976. [Google Scholar] [CrossRef]
  39. Alexakis, D.E.; Bathrellos, G.D.; Skilodimou, H.D.; Gamvroula, D.E. Land Suitability Mapping Using Geochemical and Spatial Analysis Methods. Appl. Sci. 2021, 11, 5404. [Google Scholar] [CrossRef]
  40. Clark, C.S.; Cleary, E.J.; Schiff, G.M.; Linneman, C.C.; Phair, J.P.; Briggs, T.M. Disease Risks of Occupational Exposure to Sewage. J. Environ. Eng. Div. 1976, 102, 375–388. [Google Scholar] [CrossRef]
  41. Walters, R.J.; Zoback, M.D.; Baker, J.W.; Beroza, G.C. Characterizing and Responding to Seismic Risk Associated with Earthquakes Potentially Triggered by Fluid Disposal and Hydraulic Fracturing. Seismol. Res. Lett. 2015, 86, 1110–1118. [Google Scholar] [CrossRef]
  42. Lindell, M.K.; Perry, R.W. Hazardous Materials Releases in the Northridge Earthquake: Implications for Seismic Risk Assessment. Risk Anal. 1997, 17, 147–156. [Google Scholar] [CrossRef]
  43. Ivanković, T.; Hrenović, J. Surfactants in the Environment. Arh. Hig. Rada Toksikol. 2010, 61, 95–110. [Google Scholar] [CrossRef] [PubMed]
  44. Zhang, Z.; Chen, Y. Effects of Microplastics on Wastewater and Sewage Sludge Treatment and Their Removal: A Review. Chem. Eng. J. 2020, 382, 122955. [Google Scholar] [CrossRef]
  45. Calvi, G.M.; Pinho, R.; Magenes, G.; Bommer, J.J.; Restrepo-Velez, L.F.; Crowley, H. Development of Seismic Vulnerability Assessment Methodologies over the Past 30 Years. ISET J. Earthq. Technol. 2006, 43, 75–104. [Google Scholar]
  46. Whitman, R.V.; Biggs, J.M.; Cornell, C.A.; Brennan, J.E.; de Neufville, R.L.; Vanmarcke, E.H. Seismic Design Decision Analysis. J. Struct. Div. 1975, 101, 1067–1084. [Google Scholar] [CrossRef]
  47. Kappos, A.J.; Panagopoulos, G.; Panagiotopoulos, C.; Penelis, G. A Hybrid Method for the Vulnerability Assessment of R/C and URM Buildings. Bull. Earthq. Eng. 2006, 4, 391–413. [Google Scholar] [CrossRef]
  48. Panagopoulos, G.; Kappos, A. Developing a Uniform Statistical Data Base on Buildings, from Greek Earthquakes and Its Use for Mapping of the Vulnerability Curves. In Proceedings of the 16th Concrete Conference, Paphos, Cyprus, 21–23 October 2009; p. 14. Available online: http://library.tee.gr/digital/m2456/m2456_contents.htm (accessed on 20 October 2021).
  49. GEM OpenQuake-Global Seismic Risk Map_Annual Losses. Available online: https://maps.openquake.org/map/global-seismic-risk-map/#3/31.93/-2.00 (accessed on 19 August 2021).
  50. GEM. GEM-Global Risk Map_v2018.1. Available online: https://cloud-storage.globalquakemodel.org/public/Global%20Maps/GEM_Global_Risk_Map_v2018.1-CCBY.png (accessed on 19 August 2021).
  51. Dimopoulos, K.; Tinga, K.; Sagias, I. Spatial and Structural Effects of Earthquakes in the City. The Case of Athens. In Proceedings of the Cities of the Mediterranean, 50 Years after the Catastrophic Earthquakes in Thessaly, Volos, Greek, 12–14 May 2006; Available online: https://docplayer.gr/12498955-Horikes-kai-domikes-epiptoseis-ton-seismon-stin-poli-i-periptosi-tis-athinas-1.html (accessed on 10 October 2021).
  52. EPPO-ACEG (Ed.) Greek Code for Seismic Resistant Structures-EAK2000, 2001st ed.; EPPO: Athens, Greek, 2001. [Google Scholar]
  53. Available online: http://www.et.gr/api/DownloadFeksApi/?fek_pdf=20030201154 (accessed on 19 August 2022).
  54. CSS Educations from the Center for Security Studies. Available online: http://www.kemea.gr/el/ekpaidefsi/programmata-ekpaidefsis?limit=10 (accessed on 30 May 2022).
  55. EPPO Inspection of Structural Vulnerability. Available online: https://www.oasp.gr/node/76 (accessed on 5 July 2021).
  56. Alexoudi, M.; Pitilakis, K.; Souli, A. SYNER-G Deliverable D3. 5: Fragility Functions for Water and Wastewater System Elements; Aristotle University of Thessaloniki: Thessaloniki, Greece, 2010. [Google Scholar]
  57. Tyagi, S.; Garg, N.; Paudel, R. Environmental Degradation: Causes and Consequences. Eur. Res. 2014, 81, 1491. [Google Scholar] [CrossRef]
  58. Dinka, M.O. Safe Drinking Water: Concepts, Benefits, Principles and Standards. In Water Challenges of an Urbanizing World; InTech: Rijeka, Croatia, 2018. [Google Scholar]
  59. Afolalu, S.A.; Ikumapayi, O.M.; Ogedengbe, T.S.; Kazeem, R.A.; Ogundipe, A.T. Waste Pollution, Wastewater and Effluent Treatment Methods—An Overview. Mater. Today Proc. 2022, 62, 3282–3288. [Google Scholar] [CrossRef]
  60. Srinivas, H.; Nakagawa, Y. Environmental Implications for Disaster Preparedness: Lessons Learnt from the Indian Ocean Tsunami. J. Environ. Manag. 2008, 89, 4–13. [Google Scholar] [CrossRef]
  61. Du, P.; Chen, J.; Chen, C.; Liu, Y.; Liu, J.; Wang, H.; Zhang, X. Environmental Risk Evaluation to Minimize Impacts within the Area Affected by the Wenchuan Earthquake. Sci. Total Environ. 2012, 419, 16–24. [Google Scholar] [CrossRef]
  62. Knudson, M.; Ballantyne, D.; Stuhr, M.; Damewood, M. The Oregon Resilience Plan for Water and Wastewater Systems. In Proceedings of the Pipelines 2014, Portland, OR, USA, 3–6 August 2014; American Society of Civil Engineers: Reston, VA, USA, 2014; pp. 2211–2220. [Google Scholar]
  63. Thevenon, F.; Poté, J. Water Pollution History of Switzerland Recorded by Sediments of the Large and Deep Perialpine Lakes Lucerne and Geneva. Water. Air. Soil Pollut. 2012, 223, 6157–6169. [Google Scholar] [CrossRef]
  64. Nikolaou, A.D.; Golfinopoulos, S.K.; Kostopoulou, M.N.; Kolokythas, G.A.; Lekkas, T.D. Determination of Volatile Organic Compounds in Surface Waters and Treated Wastewater in Greece. Water Res. 2002, 36, 2883–2890. [Google Scholar] [CrossRef]
  65. WHO. Chemical Releases Associated with Earthquakes; WHO: Geneva, Switzerland, 2018; Available online: https://www.who.int/publications/i/item/WHO-CED-PHE-EPE-18.01 (accessed on 30 May 2022).
  66. Zhang, Q.H.; Yang, W.N.; Ngo, H.H.; Guo, W.S.; Jin, P.K.; Dzakpasu, M.; Yang, S.J.; Wang, Q.; Wang, X.C.; Ao, D. Current Status of Urban Wastewater Treatment Plants in China. Environ. Int. 2016, 92, 11–22. [Google Scholar] [CrossRef] [PubMed]
  67. D’Inverno, G.; Carosi, L.; Romano, G.; Guerrini, A. Water Pollution in Wastewater Treatment Plants: An Efficiency Analysis with Undesirable Output. Eur. J. Oper. Res. 2018, 269, 24–34. [Google Scholar] [CrossRef] [Green Version]
  68. Samios, S.; Golfinopoulos, S. Natural Organic Matter Characterization by HPSEC and Its Contribution to CBPs Formation in Athens Water Supply Network. Implications for Alternative Disinfectants Use. In Proceedings of the 14th International Conference on Environmental Science and Technology, Rhodes, Greece, 3–5 September 2015. Poster B51. [Google Scholar]
  69. Sen, B.; Alp, M.T.; Sonmez, F.; Kocer Turan, M.A.; Conpolat, O. Relationship of Algae to Water Pollution and Waste Water Treatment. In Water Treatment; Elshorbagy, W., Chowdhury, K.R., Eds.; IntechOpen: Rijeka, Croatia, 2013; p. 335. ISBN 978-953-51-0928-0. [Google Scholar]
  70. Bunzel, K.; Kattwinkel, M.; Liess, M. Effects of Organic Pollutants from Wastewater Treatment Plants on Aquatic Invertebrate Communities. Water Res. 2013, 47, 597–606. [Google Scholar] [CrossRef]
  71. Chambers, P.A.; Allard, M.; Walker, S.L.; Marsalek, J.; Lawrence, J.; Servos, M.; Busnarda, J.; Munger, K.S.; Adare, K.; Jefferson, C.; et al. Impacts of Municipal Wastewater Effluents on Canadian Waters: A Review. Water Qual. Res. J. Can. 1997, 32, 659–713. [Google Scholar] [CrossRef]
  72. Zare, M.R.; Wilkinson, S.; Potangaroa, R. Vulnerability of Wastewater Treatment Plants and Wastewater Pumping Stations to Earthquakes. Int. J. Strateg. Prop. Manag. 2010, 14, 408–420. [Google Scholar] [CrossRef]
  73. Schwab, J.C. Hazard Mitigation: Integrating Best Practices into Planning; American Planning Association: Chicago, IL, USA, 2010. [Google Scholar]
  74. Bragato, D.D.A. Downtime Estimation of Lifelines after an Earthquake; University of California: Berkeley, CA, USA, 2016. [Google Scholar]
  75. Schiff, A.J. Hyogoken-Nanbu (Kobe) Earthquake of 17 January 1995: Lifeline Performance; ASCE: Reston, VA, USA, 1999; ISBN 978-0-7844-0408-9. [Google Scholar]
  76. Malakootian, M.; Nouri, J. Chemical Variations of Ground Water Affected by the Earthquake in Bam Region Malakootian, M. Int. J. Environ. Res. 2010, 4, 443–454. [Google Scholar] [CrossRef]
  77. Rossetto, T.; Peiris, N.; Pomonis, A.; Wilkinson, S.M.; Del Re, D.; Koo, R.; Gallocher, S. The Indian Ocean Tsunami of December 26, 2004: Observations in Sri Lanka and Thailand. Nat. Hazards 2007, 42, 105–124. [Google Scholar] [CrossRef]
  78. Kongar, I.; Esposito, S.; Giovinazzi, S. Post-Earthquake Assessment and Management for Infrastructure Systems: Learning from the Canterbury (New Zealand) and L’Aquila (Italy) Earthquakes. Bull. Earthq. Eng. 2017, 15, 589–620. [Google Scholar] [CrossRef]
  79. Evans, N.L.; McGhie, C. The Performance of Lifeline Utilities Following the 27th February 2010 Maule Earthquake Chile. In Proceedings of the 9th Pacific Conference on Earthquake Engineering “Building an Earthquake-Resilient Society”, NZSEE, Auckland, New Zealand, 14–16 April 2011; p. 8. [Google Scholar]
  80. Devane, M.L.; Moriarty, E.M.; Wood, D.; Webster-Brown, J.; Gilpin, B.J. The Impact of Major Earthquakes and Subsequent Sewage Discharges on the Microbial Quality of Water and Sediments in an Urban River. Sci. Total Environ. 2014, 485, 666–680. [Google Scholar] [CrossRef]
  81. Qi, W.K.; Sanuba, T.; Norton, M.; Li, Y.Y. Effect of the Great East Japan Earthquake and Tsunami on Sewage Facilities and Subsequent Recovery Measures. Water Sustain. 2014, 4, 27–40. [Google Scholar]
  82. Ishii, E.; Watanabe, Y.; Agusa, T.; Hosono, T.; Nakata, H. Acesulfame as a Suitable Sewer Tracer on Groundwater Pollution: A Case Study before and after the 2016 Mw 7.0 Kumamoto Earthquakes. Sci. Total Environ. 2021, 754, 142409. [Google Scholar] [CrossRef] [PubMed]
  83. Robson, C. Real World Research—A Tool for Social Scientists and Professional Researchers; Gutenberg: Athens, Greek, 2010. [Google Scholar]
  84. Kirchhoff, C.J.; Watson, P.L. Are Wastewater Systems Adapting to Climate Change? JAWRA J. Am. Water Resour. Assoc. 2019, 55, 869–880. [Google Scholar] [CrossRef]
  85. Darakas, E. Waste Treatment Processes; AUTH: Thessaloniki, Greece, 2010; Available online: https://docplayer.gr/30986395-Diergasies-epexergasias-ygron-apovliton.html (accessed on 26 November 2021). (In Greek)
  86. Keeney, R.L.; McDaniels, T.L.; Ridge-Cooney, V.L. Using Values in Planning Wastewater Facilities for Metropolitan Seattle. J. Am. Water Resour. Assoc. 1996, 32, 293–303. [Google Scholar] [CrossRef]
  87. Blanco-Londoño, S.A.; Torres-Lozada, P.; Galvis-Castaño, A. Identification of Resilience Factors, Variables and Indicators for Sustainable Management of Urban Drainage Systems. DYNA 2017, 84, 126–133. [Google Scholar] [CrossRef]
  88. Stamatiou, K.; Tsafou, S. Rapid Vulnerability Assessment of Public Building Stock. Thessis NTUA. 2013. Available online: https://docplayer.gr/12959083-Taheia-apotimisi-trototitas-ktiriakoy-apothematos-dimosias-hriseos.html (accessed on 2 June 2021). (In Greek).
  89. Manikas, P. Damages to Structural and Non-Structural Elements of an Earthquake. Types and Factors Affecting Buildings. Thessis UOA. 2018. Available online: https://pergamos.lib.uoa.gr/uoa/dl/frontend/file/lib/default/data/2672649/theFile (accessed on 26 November 2021). (In Greek).
  90. O’Rourke, M.J.; Liu, X. Response of Buried Pipelines Subject to Earthquake Effects; MCEE, University of Buffalo: New York, NY, USA, 1999. [Google Scholar]
  91. Karidis, P.; Lekkas, E. Development of Guidelines for the Safer Handling of Seismic Risks in Factory Premises; ELINYAE: Athens, Greek, 2008. [Google Scholar]
  92. EPPO Non Structural Vulnerability Checking. Available online: https://www.oasp.gr/node/159 (accessed on 15 May 2022).
  93. Prathivadi, K. Wastewater Resilience Planning. In Proceedings of the 6th EWA/JSWA/WEF Joint Conference “The Resilience of the Water Sector”, Munich, Germany, 15–18 May 2018. [Google Scholar]
  94. Kerpelis, P.; Golfinopoulos, S.; Alexakis, D. Proposing the Critical Structural Characteristics of Wastewater Treatment Plants (WTPs) for the Estimation of Their Seismic Vulnerability. In Proceedings of the International Conference VSU2020, Sofia, Bulgary, 15–17 October 2020; pp. 825–830. [Google Scholar]
  95. Kerpelis, P.; Biba, E. A Seismic Vulnerability Questionnaire for WWTPs. Available online: https://docs.google.com/forms/d/e/1FAIpQLScJHiNzjLVdxhVTYwDDGFRtsSOyp7stVkOoXynSM3MIbGF18Q/viewform (accessed on 26 November 2021).
  96. Vicente, R.; Lagomarsino, S.; Mendes Silva, R. Seismic Vulnerability Assessment, Damage Scenarios and Loss Estimation. Case Study of the Old City Centre of Coimbra, Portugal. In Proceedings of the 14th World Conference on Earthquake Engineering, Beijing, China, 12–17 October 2008; p. 9. [Google Scholar]
  97. Oppenheim, A.N. Questionnaire Design, Interviewing and Attitude Measurement; Bloomsbury Publishing: London, UK, 2000; ISBN 0826451764. [Google Scholar]
  98. Thabane, L.; Ma, J.; Chu, R.; Cheng, J.; Ismaila, A.; Rios, L.P.; Robson, R.; Thabane, M.; Giangregorio, L.; Goldsmith, C.H. A Tutorial on Pilot Studies: The What, Why and How. BMC Med. Res. Methodol. 2010, 10, 1–10. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  99. Galanis, P. Validity and Reliability of Questionnaires in Epidemiological Studies. Arch. Hell. Med. 2013, 30, 97–110. [Google Scholar]
  100. Robinson, J.; Shaver, P.; Wrightsman, L. Measures of Personality and Social Psychological Attitudes; Academic Press: Cambridge, MA, USA, 1991. [Google Scholar]
  101. Nunnally, J.C. An Overview of Psychological Measurement. In Clinical Diagnosis of Mental Disorders; Wolman, B.B., Ed.; Springer: Boston, MA, USA, 1978. [Google Scholar] [CrossRef]
Figure 1. Categorization of WWTPs for Zone I of EHZ.
Figure 1. Categorization of WWTPs for Zone I of EHZ.
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Figure 2. Categorization of WWTPs for Zone II of EHZ.
Figure 2. Categorization of WWTPs for Zone II of EHZ.
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Figure 3. Categorization of WWTPs for Zone III of EHZ.
Figure 3. Categorization of WWTPs for Zone III of EHZ.
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Figure 4. Categorization of the WWTPs samples examined in this study for: (a) Zone I of EHZ and (b) Zone II of EHZ.
Figure 4. Categorization of the WWTPs samples examined in this study for: (a) Zone I of EHZ and (b) Zone II of EHZ.
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Figure 5. Demographic characteristics of the recipients and estimation of seismic vulnerability of the WWTPs.
Figure 5. Demographic characteristics of the recipients and estimation of seismic vulnerability of the WWTPs.
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Figure 6. Seismic vulnerability of the WWTPs.
Figure 6. Seismic vulnerability of the WWTPs.
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Figure 7. Seismic vulnerability of the WWTPs that cause water–soil pollution in the post-seismic period in Greece.
Figure 7. Seismic vulnerability of the WWTPs that cause water–soil pollution in the post-seismic period in Greece.
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Figure 8. Structural vulnerability of the WWTPs in the post-seismic period in Greece.
Figure 8. Structural vulnerability of the WWTPs in the post-seismic period in Greece.
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Figure 9. NSV of the WWTPs in the post-seismic period in Greece.
Figure 9. NSV of the WWTPs in the post-seismic period in Greece.
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Figure 10. OV characteristics of the WWTPs in the post-seismic period in Greece.
Figure 10. OV characteristics of the WWTPs in the post-seismic period in Greece.
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Figure 11. Estimation of soil–water pollution due to the potential release of contaminants from WWTPs during the post-seismic period.
Figure 11. Estimation of soil–water pollution due to the potential release of contaminants from WWTPs during the post-seismic period.
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Table 1. Definitions of classes of percentages according to the Likert Scale.
Table 1. Definitions of classes of percentages according to the Likert Scale.
ClassClassification According to Likert ScalePercentages (%)
A10–20
B220–40
C340–60
D460–80
Ε580–100
Table 2. Percentage of the WWTPs, according to EHZ, treatment, capacity and receiving water body (n = 241).
Table 2. Percentage of the WWTPs, according to EHZ, treatment, capacity and receiving water body (n = 241).
A/ACategorizationNumber of Existing WWTPsNumber of Examined WWTPsPercentage (%)
1Hazard Seismic Zone Ι963839.80
Hazard Seismic Zone ΙI1367856.40
Hazard Seismic Zone ΙII903.70
2Secondary treatment371815.40
Tertiary treatment2049884.60
3Capacity 2000–10,000733530.30
Capacity 10,000–100,0001537363.50
Capacity > 100,0001586.20
4Sensitive receiving water body301512.40
Normal receiving water body21110187.60
Table 3. Comparison between the seismic vulnerabilities of WWTPs.
Table 3. Comparison between the seismic vulnerabilities of WWTPs.
Seismic VulnerabilitiesPercentage of the Recipients (%)Class
SV34.5A
NSV37.9A
OV27.6A
Table 4. Seismic vulnerability of WWTPs after analysis of a group of questions.
Table 4. Seismic vulnerability of WWTPs after analysis of a group of questions.
Descriptive StatisticsNMinimumMaximumMeanStd. Deviation
Questionnaire: Average of the Parts 2, 3, 4 (without trap-questions and direct questions)
1161.173.521.87950.55311
Valid N (listwise)116
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Kerpelis, P.N.; Alexakis, D.E.; Golfinopoulos, S.K. A Qualitative Approach to the Seismic Estimation of Wastewater Treatment Plants and Potential Impacts on the Hydrosphere. Water 2022, 14, 3225. https://doi.org/10.3390/w14203225

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Kerpelis PN, Alexakis DE, Golfinopoulos SK. A Qualitative Approach to the Seismic Estimation of Wastewater Treatment Plants and Potential Impacts on the Hydrosphere. Water. 2022; 14(20):3225. https://doi.org/10.3390/w14203225

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Kerpelis, Ploutarchos N., Dimitrios E. Alexakis, and Spyridon K. Golfinopoulos. 2022. "A Qualitative Approach to the Seismic Estimation of Wastewater Treatment Plants and Potential Impacts on the Hydrosphere" Water 14, no. 20: 3225. https://doi.org/10.3390/w14203225

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