Meta-Evaluation Of Water Quality Indices. Application Into .

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waterArticleMeta-Evaluation of Water Quality Indices.Application into Groundwater ResourcesDimitrios E. AlexakisLaboratory of Geoenvironmental Science and Environmental Quality Assurance, Department of CivilEngineering, School of Engineering, University of West Attica, 250 Thivon & P.Ralli Str., 12244 Athens, Greece;d.alexakis@uniwa.gr; Tel.: 30-210-538-1256Received: 19 May 2020; Accepted: 28 June 2020; Published: 2 July 2020 Abstract: Until now, there was no simple procedure to test the performance of water quality indices(WQIs) or, in other words, to perform their meta-evaluation. The purpose of this study is to providea meta-evaluation approach of two widely used WQIs and suggestions for selecting one or bothof them for application in groundwater quality assessment as proposed by the European Union.The meta-evaluation concept is based on testing the performance of two widely known WQIsby applying classification of Water Framework Directive (WFD; 2000/60/EC) and GroundwaterDirective (GWD; 2006/118/EC) which was used as a reference. The Canadian Council of Ministersof Environment (CCME) and National Sanitation Foundation (NSF-WQI) have been selected forevaluation. These WQIs were applied in an agricultural area of the Mediterranean region where sixsub-datasets for an entire hydrological year were available. This study uses all the available waterquality data (52 monitoring stations 2 sampling periods 15 parameters) which is systematicallycollected at the area studied. The CCME-WQI is a rather strict index since it estimates statisticallysignificantly lower values than the NSF-WQI. Based on the performance of the examined indices, it isshown that, mostly, the CCME-WQI classification findings are close to those of the GWD.Keywords: meta-evaluation; WQI; NSF-WQI; CCME-WQI; groundwater; water quality; agriculturalarea; Mediterranean site1. IntroductionThe term meta-evaluation is introduced by Scriven 1969 [1] and is defined as any evaluation of anevaluation, evaluation system or evaluation device. According to Mathison 2005 [2], meta-evaluationis a tool applied for aggregating findings from a series of evaluations.The indexing approach has been applied by many researchers for the evaluation of groundwaterquality [3–8]. Water Quality Indices (WQIs) are mathematical approaches to classify water quality.Although many studies have been performed on assessing groundwater quality by applying WaterQuality Indices, only a limited number of studies has been found contributing to the comparison oftheir performance [9–12]. Modern methods which apply supervised machine learning algorithms forthe prediction of WQIs values were also suggested [13].The meta-evaluation of WQIs is a crucial issue for several reasons, as follows: (a) the obviousone arises because water users and social development depend on the quantity and quality of waterresources; (b) it is an essential matter for policymakers and stakeholders because it helps to developmanagement strategies for controlling deterioration of water quality; (c) it is involved in many otherapplied indices of evaluation such as the sustainable development goals, as introduced by Agenda2030 [14].Traditionally, evaluations of water quality have sought to answer the questions, “Is this watersuitable for human consumption and irrigation purposes?”, and “Is this water body classified intoWater 2020, 12, 1890; doi:10.3390/w12071890www.mdpi.com/journal/water

Water 2020, 12, 18902 of 13good chemical status?”. Advancing this discussion to “Is the evaluation approach suitable for thequestions as mentioned above?” requires characterizing and analyzing vast amounts of data and theirmethods of analysis. Stakeholders need meta-evaluations of WQIs to assist them to improve theirevaluations. Water users need meta-evaluations to avoid accepting invalid evaluative findings of waterquality, water distribution and water-related services.Groundwater resources play a vital role in the Mediterranean region and have become critical fordrinking and economic sectors. Due to agricultural practices and associated anthropogenic activities incultivated areas of Mediterranean countries, their groundwater resources are prone to major and traceelement contamination. Nowadays, groundwater contamination is a sensitive case in many countriessince it is directly related to water usage, food safety and human health. Evaluation of water qualityis of great importance in the management of water supplies [15]. Water quality is considered as aseverely limiting factor to public health and economic development.The determination of aquifers’ chemical status is a crucial element for the implementation ofboth 2000/60/EC Water Framework Directive (WFD) [16] and Groundwater Directive 2006/118/EC(GWD) [17], as adopted by the Hellenic Republic [18]. The monitoring of groundwater under theWFD framework, requires the classification of a system in terms of its quality into one class, like“good” and “poor”. The WFD only provides general guidance to evaluate a groundwater systembased on physicochemical parameters; at the same time, the GWD sets out specific provisions for theprotection of groundwater against pollution and deterioration and reported that the Member Stateswould establish threshold values for all contaminants and indicators of contamination.Many regions worldwide suffer from deterioration of water quality mainly caused by (a) thegeological processes [5,7,19]; (b) the application of agrochemicals [3,20]; (c) the weathering of bedrocksand minerals [21,22]; (d) overexploitation [23,24]; and (e) mining and industrial activities [22,24–26].The present study delineates an approach for the evaluation of WQIs using popular statistical tools.The objectives are (a) to evaluate two widely applied WQIs into groundwater resources; (b) to providea comparative investigation of the applied WQIs by testing their performance; and (c) to propose ameta-evaluation approach for WQIs applied into groundwater resources.While, until now, limited studies of comparative assessment of groundwater quality by WQIshave been performed worldwide, the emphasis is placed on the comparative assessment of surfacewater bodies. The explanation for the placed emphasis on surface water bodies is that rivers andstreams are considered as the surface water bodies most vulnerable to contamination. Furthermore,Lumb et al., 2011 [27] reported that the WQIs are largely developed for surface water. Previous studieson the application of WQIs in the area studied are non-existent. The previous assessments of waterquality in the study area have been conducted by Gamvroula 2013 [28] and Gamvroula et al., 2013 [26],only by comparing the values of water quality parameters with criteria given by the literature.Although the application of WQIs in groundwater resources is well established for the evaluationof groundwater quality [3–10,12,25] according to the author’s knowledge, no comprehensive work wasdedicated to the meta-evaluation of WQIs which are applied into groundwater resources. There is nosimple procedure to test the performance of WQIs or, in other words, to perform their meta-evaluation.The main scope of the applied meta-evaluation methodology is to provide an evaluation approachof two widely used WQIs and suggestions for selecting one or both of them for application in EUgroundwater quality assessment.2. Materials and MethodsCanadian Council of Ministers of Environment Water Quality Index (CCME-WQI) [29,30] and theNational Sanitation Foundation Water Quality Index (NSF-WQI) [31,32] were selected for evaluation.The CCME-WQI is determined based on the selection of appropriate water quality parameters toproduce a single number that varies between 0 and 100, with 100 denoting “excellent” quality [29,30].According to the score, the CCME-WQI classifies the water quality status into five categories asfollows: “excellent”, “good”, “fair”, “marginal” and “poor”. A spreadsheet which contains all the

Water 2020, 12, 18903 of 13requiredequationsfor usersWater 2020,12, x FORPEER REVIEWto calculate the score of CCME-WQI has been developed 3byCCMEof 13and is freely available. The NSF-WQI is calculated based on selecting water quality parameters andby CCMEand isfreelywhichavailable.The NSF-WQIcalculatedbasedon selectingwaterqualityproducinga scorealso rangesfrom 0 tois100,with ersandtheproducingscore whichalso rangesfrom 0 ofto the100,waterwith body100 indicating“excellent”Based onvalue, theaNSF-WQIcategorizesthe qualityinto five classesas follows:quality[31,32]. Basedon thevalue, the“bad”NSF-WQIcategorizesthe qualityof illustrativethe water bodyinto fiveof the“excellent”,“ good”,“medium”,and “verybad” [31,32].A verypresentationclassesas follows:“ excellent”,“ good”,“bad” and“very bad”[31,32].A �medium”,reported numberof variablesin CCMEandNSF-WQIis reportedpresentationof theaggregationformula,andreportedby Alexakiset structure,al., 2016 [15],and Kachroudet al.,2019[8]. number of variables in CCME andNSF-WQI Theis reportedby Alexakiset al.2016 [15], and Kachroudet al.2019 [8]. approach is a dValues (GWD-TV)is a ofproposedto evaluateDirectivethe chemicalstatus of the body of groundwaterin relationapproachto the micalstatusof the bodyforofcomparison.groundwaterAccordingin relationtotoGWD-TV,the2006/118/EC[17,18];was useda cordingthe chemical status of a body of groundwater can be classified as “good” and “poor”. Threshold valuesto GWD-TV,statusof indicatorsa body of ofgroundwatercaninbeaccordanceclassified withas “good”and “poor”.(TV) for thethe chemicalcontaminantsandcontaminationthe procedureset out inThreshold(TV)IIforthe contaminantsand indicatorsof contaminationin accordancewith RepublicthePart Avaluesof Annexof GroundwaterDirective(GWD) 2006/118/ECestablishedby the Hellenicprocedureset out ininPartof Annexwere appliedthisAstudy[18]. II of Groundwater Directive (GWD) 2006/118/EC established bythe HellenicRepublicappliedin this study[18].Thecentral wereconceptin developinga meta-evaluationmethod consists of using the uationmethodconsistsof usingtheHowever,qualitativeclassification of WQIs to test their performance, instead of usingthe WQIsvalue.there isclassificationof WQIsto test referencetheir performance,insteadusing theWQIsvalue. However,thereisnot a widelyacceptedvalue of WQIforoftestingtheirperformancewhich isconductednot a bywidelyacceptedvalue of WQItheir performanceis conductedcomparingthereferenceWQI classificationto forthe testingclassificationderived by [17,18].TheThe applied methodology in this study is illustrated in Figure 1.applied methodology in this study is illustrated in Figure 1.Figure 1. Flow diagram showing the applied methodology for meta-evaluation of WQIs.3. TheCase1.StudyFigureFlow diagram showing the applied methodology for meta-evaluation of WQIs.3.1. Regional and Hydrogeological Setting3. The Case StudyA basin which is among the most productive agricultural areas in Greece is selected for the3.1. Regionaland HydrogeologicalSettingapplicationof the proposedmethodology (Figure 2). Figure 2 presents world imagery modifiedfromGoogleEarth[33]andthegeographicalof theareainstudiedthe distributionA basin which is among the mostproductive locationagriculturalareasGreece withis selectedfor the ofgroundwatermonitoringstations.application of the proposed methodology (Figure 2). Figure 2 presents world imagery modified fromGoogle Earth [33] and the geographical location of the area studied with the distribution ofgroundwater monitoring stations.

Water 2020, 12, 18904 of 13Water 2020, 12, x FOR PEER REVIEW4 of 13FigureMap showingshowing thethe areaFigure 2.2. Maparea studiedstudied andand groundwatergroundwater monitoringmonitoring stations.stations.TheThe updatedupdated Köppen-GeigerKöppen-Geiger climateclimate classificationclassification isis adoptedadopted forfor thisthis studystudy [34].[34]. TheThe climateclimate ofofthethe areaarea studiedstudied belongsbelongs toto thethe CsaCsa typetype whichwhich isis Temperate-Dry-HotTemperate-Dry-Hot SummerSummer climate,climate, wherewhere thethe C, the average temperature of the coldest month variestemperaturetemperature ofof thethe hottesthottest monthmonth isis aboveabove 1010 C,the average temperature of the coldest month varies tureis above 22is Cabove[34]. Theprecipitationbetween 0 and 8 C, and at least one month’s averagetemperature22 C[34]. Theofthe driest monthsummeris below40 mm isandis less33%thethanprecipitationin theprecipitationof theindriestmonthin summerbelow40thanmmtheandis oflessthe 33% on in the wettest month of winter [34]. It should be reported that the hydrological year intypeconsistsclimateof a wet(OctoberthroughMarch)and througha dry (Aprilto September)Temperatetypeconsistsof a wet(OctoberMarch)and a dry period.(April to September)The study area is located in Megara basin and lies within the coordinates of 37 570 N to 38 080 Nperiod. 160 E to 23 270 E longitudes. It extends from the Geraneia Mountain (highest summitlatitudes23areaThe andstudyis located in Megara basin and lies within the coordinates of 37 57′ N to 38 08′ N1351m) inandthe23 16′west tothePaterasMountain It(highest1132m) in theeast. KorinthiakosandlatitudesE to23 27′E longitudes.extendssummitfrom theGeraneiaMountain(highest summitSaronikosborderedstudyMountainarea north-westernand south(Figureand2).1351 m) inGulfthe westto thethePateras(highest summit1132coastlines,m) in the respectivelyeast. ikos Gulf bordered the study area north-western and south coastlines, respectively (Figure 2).GeraneiaMountainwhichnetworkfed the Megarabasin withsurfaceA complexhydrographicwhich includesthreemajorwater.streams originated mostly in slopes mentGeraneia Mountain which fed the Megara basin with surface water. rocks, alpine basement rocksand postalpine alpineincludethe oldestrocksThe geologyof Megara [26,35–37].basin consistsof ous)in esincludeof limestones,sandstones,bodiespost alpine sediments [26,35–37].basementthe oldestrocks (Permian–ofigneous rocks andtuffitesTheserockslensesare mainlyimpermeablerocks whichtheU.Carboniferous)in thearea: [35–37].argillaceousshales,of limestones,sandstones,bodiescontrolof asementrocks consistof whichcherts,controlsandstonesand schistsrocks and tuffitesTheseTherocksare mainlyimpermeablerocksthe tones,flow regionally.Thekarstifiedalpine basementrocksof cherts,sandstones and ge,schist-chertage), karstified limestones and dolomites (M.–U.Triassic–L.Jurassic age), limestones, marbles,formationage) containingage),Mn-layersand bauxites[35–37]. Jurassicand cipolins (M.–U.Triassiclimestonesof rosity,allowing(M.–U.Jurassic age) containing Mn-layers and bauxites [35–37]. The limestones and dolomite rocksgroundwaterto be stored andmigrateoverintenselong distances.These rockconstitute allowingthe mostshow high permeabilitydueto theirkarstificationandformationsfracture porosity,importantaquiferthe studyarea-the overKarsticaquifer.The Theseinfiltrationwater of karsticaquifermovesgroundwaterto beofstoredand migratelongdistances.rock edimentsconsistimportant aquifer of the study area-the Karstic aquifer. The infiltration water of karstic aquifer movesmainlyand ligniteNeogenebearing anddeposits,marly oftoNeogenethe surroundingQuaternarydeposits [26].Themarls,post-alpinelignitemarly formationswithmanganeseoxidesand ,mainly of Neogeneand neorganicmaterial, lignite intercalations, marly formations with manganese oxides and ultrabasic rockfragments. Neogene deposits consist of permeable and impermeable layers or lenses—the Neogene

Water 2020, 12, 18905 of 13deposits consist of permeable and impermeable layers or lenses—the Neogene aquifer. The Quaternarydeposits consist mainly of alterations of clays, loams and conglomerates [37]. Quaternary depositsconstitute an aquifer which presents low hydraulic characteristics—the Quaternary aquifer.3.2. Primary Data, Determinations and Data TreatmentThis study uses all the available water quality data (52 monitoring stations 2 samplingperiods 15 water quality parameters) systematically collected of the study area during the regionalhydrogeochemical study, as conducted by Gamvroula 2013 [28] and Gamvroula et al., 2013 [26].A one-hydrological-year sampling campaign (wet and dry period) was performed at the area studied.Groundwater monitoring stations were distributed over an area of about 250 km2 . The locations ofmonitoring stations were recorded using a geographical positioning system (Spectra Precision GPSwith an Ashtech Global Navigation Satellite System Receiver; Trimble, Spectra, Westminster, USA).Geological maps, literature sources and relevant databases were employed in order to build the spatialand water quality databases. The groundwater monitoring network (n 52) was designed in thestudy area for representative sampling of the aquifers: (a) the shallow alluvial aquifer of Quaternarydeposits which shows low hydraulic characteristics (n 15); (b) the deep aquifer hosted in permeablelayers of Neogene deposits (n 31); and (c) the deep aquifer hosted in intensively karstified carbonateformations that constitute the most important aquifer of the area studied (n 6).The dataset of groundwater quality parameters was categorised into six sub-datasets:(a) Quaternary aquifer-Wet period; (b) Quaternary aquifer-Dry period; (c) Neogene aquifer-Wet period;(d) Neogene aquifer-Dry period; (e) Karstic aquifer-Wet period; and (f) Karstic aquifer-Dry period.Dissolved oxygen (DO), electrical conductivity (CND) and hydrogen ion concentration (pH) weredetermined in the field at the time of sample collection with YSI Professional Plus portable meter.Water samples were stored into 1000-mL high-density polypropylene bottles, which were rinsed severaltimes prior to sample storage. Each water sample was then divided into two water subsamples: (a) thefirst set of subsamples was filtered on-site by a 0.22-µm disposable syringe filter, acidified to pH 2with ultrapure HNO3 , then stored in a 100-mL bottle and transported to the laboratory for cadmium(Cd), chromium (Cr), copper (Cu), lead (Pb), manganese (Mn), nickel (Ni) analysis by inductivelycoupled plasma mass spectrometry (ICP-MS; model 7700 MassHunter, Agilent, Santa Clara, USA);and (b) the second set of subsamples was stored in a 1000-mL bottle and transferred to the laboratorywhere, after filtration through 0.45-µm pore size membrane filters was used for ammoni

The CCME-WQI is determined based on the selection of appropriate water quality parameters to produce a single number that varies between 0 and 100, with 100 denoting “excellent” quality [29,30]. According to the score, the CCME-WQI classifies the water quality status into five categories as

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