WATERTECHNOLOGY

TRENDS2025

Revolutionizingwater

managementwiththe

powerofdigitaltechnology

Tableofcontents

Introduction

Trend1

ArtificialIntelligence:efficientwaterresourcemanagement

Trend2

Cybersecurity:greaterprotectionforinfrastructure

Trend3

Waterlosscontrol:reductionofnon-revenuewater

Trend4

Optimizationofwastewaterplants:theroleofemergingtechnologies

Trend5

Floodmanagement:effectiveresponsestoextremeevents

Trend6

Agricultureandirrigation:improvementsinoperabilityandmanagement

Trend7

Smartbuildings:resourceandenergymanagementincities

Trend8

Optimizationofwaterresources:enhancedmanagementtoprovidequality

watersupplyConclusion

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IntroductIon

Theyear2025willgodowninhistoryasaturningpointintheevolutionoftechnologyanditsglobalimpact.Thisisparticularlytrueinthefieldofwater.Thiscriticalresourceisessentialforlifeandisbecomingincreasinglyimportantasadriverofeconomicdevelopment.

Thisscenario,alsomarkedbyclimatechange,migratorymovements,populationgrowthandover-urbanization,aswellasintegratedwatercyclemanagement,willcontinuetobeachallengeforallcountrieswithoutexception.Digitaltransformation,withtechnologyattheforefront,willcontinuetobethekeytoolforaddressingthewaterchallengesfacingtheworldtoday:fromfloodpreventiontowaterresourceoptimization.

AsweembarkonayeardesignatedbytheUnitedNationsastheInternationalYearofQuantumScienceandTechnology,computingcontinuestoserveasthebackboneoftechnologicalprogress.Thisprogressisfurtherunderscoredbytheproliferationand“democratization”oftransformativetechnologiessuchasartificialintelligence(AI)andcybersecurity,whichholdimmensesignificanceintoday’sinterconnectedsociety.

Thefollowingdocumentanalyzessomeoftheemergingtrendsthatareredefiningthewatersector,tacklingpressingchallengessuchasextremeevents,technologicalandinfrastructureobsolescence,non-revenuewater(NRW)andenergyinefficiencies.

Itdetailshowadvancedtechnologiessuchasdigitaltwins,decisionsupportsystems(DSS)andearlywarningsystems(EWS)arebeingdeployedtomitigaterisksandensureefficientandsustainablewateruse.

Theagriculturalsectorisacaseinpoint.Irrigationassociationsareimplementingtechnologiesgearedtowardsdigitaltransformationtooptimizewateruse(between20%and50%,accordingtotheFAO),improveagriculturalproductivity(increasingagriculturalyieldsbyupto25%),andreducecosts(upto30%inenergysavings).Beyondthesetangiblebenefits,modernizationenhancesthefutureofagriculturebysignificantlyimprovingwatermanagement,acriticalneedaspopulationsincreasinglymigratetourbancenters.

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Likewise,therolloutofoperationalintelligenceandAIisrevolutionizingdemandforecasting,energyoptimization,andcustomerrelationshipmanagement.Theseinnovationsarereshapingindustryoperations,enablingprocessesthatarebothmoreefficientandmoresustainable.Indoingso,theybolsterresourcemanagement,addressextremeevents,andenhancetheresilienceofcriticalinfrastructure.

Finally,trendsinwaterlosscontrol,wastewatertreatmentplantmanagement,andthedevelopmentofsmartbuildingsemphasizehowtechnologicalinnovationscandrivesustainabilityandoperationalefficiencyinavarietyofareas,whileenhancingqualityoflife.

Inshort,thisreportonwatersectortrendsfor2025providesacomprehensiveoverviewofthesetransformationsandhighlightsthecrucialroleoftechnologyinguaranteeingwatersecurityandenvironmentalsustainabilityinafuturethatpromisestobechallenging.Inthisfuture,collaborationbetweencompanieswillcontinuetobecrucialinimprovingwatercyclemanagement.Let'sjoinforcestobuildabetterplaceforfuturegenerations.

JaimeBarba

HeadofXylemVueIdricaChiefExecutiveOfficer

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trEnd1

ArtificialIntelligence:efficientwaterresourcemanagement

In2025,artificialIntelligence(AI)andoperationalintelligence(OI)aresettoplayapivotalroleinoptimizingwaterresources,boostingefficiency,reducingoperatingcostsandpromotingsustainability.Thesetechnologiesarecapableofanalyzinglargevolumesofdatainrealtime,improvinginfrastructuremanagementandstrengtheninguserrelationships.

DigitalplatformsintegrateAIandoperationalintelligencesystemstoaddressthechallengesofthewatersector.ThesetoolscentralizedatafromsourcessuchasIoTsensors,SCADAandGISsystems,anddeployadvancedalgorithmstodetectleaks,optimizenetworksandenhanceservicequality.TheyalsocontributetotheSustainableDevelopmentGoals(SDGs),notablySDG6:CleanWaterandSanitation,byreducingwaterwasteandcarbonemissions,thusfosteringmoresustainableresourcemanagement.

AIapplications:keydevelopmentsfor2025

Artificialintelligenceispoisedtobecomeakeytoolfortransformingwatermanagement.Themainapplicationsonthehorizonfor2025aredetailedbelow:

Dynamicoptimizationintreatmentplants

AIwillcontinuetorevolutionizetreatmentplantsin2025throughsystemsthatadjustprocessesinrealtime,includingreagentdosingandtreatmentlinecontrol.Digitaltwinswillbecomemoresophisticated,simulatingcomplexscenariostoanticipateproblemsbeforetheyoccur.Thiswillimproveoperationalresiliencetoextremeeventsandfurtherstreamlineenergyresourceuse.

Demandforecasting

TrendsshowthatadvancedAIalgorithmswillplayakeyroleinaccuratelyanticipatingconsumptionpeaks.Resourcemanagementwillbeseamlesslyintegratedin2025,supportingautomaticadjustmentsinwaterdistributionandstorage.Thiswillreducewasteandenableutilitiestorespondproactivelytochangesinuserbehaviorandweatherevents.

Energyoptimization

Sustainabilitywillbeapriorityin2025.AIcanoptimizeenergyconsumptioninpumpingstationsandtreatmentplantsthroughpredictivemodels

thatadjustoperationsaccordingtodemand.Thesesolutions,whichhavealreadycutconsumptionby25%,willbecomeevenmoreefficientthankstotheintegrationofreal-timeclimateandconsumptiondata,promotingenvironmentalmanagement.

Pre-emptiveproblemdetection

In2025,AIsystemswillbecomemoresophisticatedindetectingleaks,fraudandoperatingirregularitiesatearlierstages.Thiswillboostresilienceandreducemaintenancecosts,whiledeliveringatailoreduserexperience.Utilitieswillbeabletonotifycustomersinrealtimeaboutspecificissues,fosteringgreaterwaterawareness.

Wastewatertreatmentoptimization

Artificialintelligence(AI)willbeabletocompletelyoptimizewastewatertreatmentin2025.Predictivesystemswillautomaticallyadjustcriticalprocessestomeetstricterenvironmentalstandards.Inaddition,digitaltwinswillsimulatevariationsinwaterquality,pre-emptingchallengesandensuringlong-termsustainability.

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Operationalintelligence:

aholisticfutureaheadin2025

Operationalintelligencewilldevelopfurtherin2025asanessentialsolutiontocentralizedata,optimizeresourcesandenhancedecision-makinginrealtime.Theupcomingtrendsaredetailedbelow:

1.Centralizationandadvancedmonitoring

Operationalintelligencesolutionswillevolveintofullycentralizedplatformsthatbuildinreal-timedatafrommultiplesources.In2025,theseplatformswillbeabletodeliverinstantvisibilityacrossoperations,enablingutilitiestoprioritizecriticalinterventions,reduceoperatingcosts,andrespondquicklytoeventssuchasfloodsandoutages.

2.Personalizeddecision-making

Dataanalyticswillreachnewlevelsofsophisticationin2025.Configurabledashboardswillenableutilitiestoadjustoperationsbasedonspecificscenarios.Predictivetoolswillbeabletopinpointhistoricalpatterns,aswellasprovidingreal-timerecommendationstomaximizeefficiencyandminimizerisk.

3.Predictivemaintenanceandalgorithmoptimization

Predictivemaintenancewillbethenormin2025.Advancedalgorithmswillbeabletospotfailuresbeforetheyoccur,usingoperationaldatasuchasvibrationsandpressurefluctuations.Thiswillsignificantlyreducerepaircostsandextendthelifetimeofcriticalinfrastructures.Inaddition,AI-basedautomatedoperationswillbeabletooptimizeequipmentusebasedondemandandoperatingconditions.

4.Easyintegrationwithexternaltechnologies

Operationalintelligencesystemswillbeabletoembeddatafrominternalwatermanagementapplications,aswellasinterfacingwithexternaltechnologiessuchasbusinessintelligence(BI)tools,creatingacentralizedenvironmenttofacilitatecollaborationandstrategicanalysis.Organizationswillbeabletogaininefficiencybyintegratingthesesystems,aswellasenhancingthequalityofcustomerservicebyrespondingmorequicklytooperationalandstrategicdemands.

Inconclusion,

in2025,operationalintelligence,supportedbyadvancedAItechnologies,issettoredefinewaterresourcemanagement.Thesesolutions,fromcentralizingdatatooptimizingoperationsthroughpredictivealgorithms,willgiveorganizationsadistinctcompetitiveadvantage.Embracingthesetoolswillenablecompaniestoimprovesustainability,optimizeresources,andensurereliableserviceinanincreasinglychallengingenvironment.

“Artificialintelligenceisthe

drivingforcesettotransform

watermanagementin2025,

bringinggreaterefficiency,

sustainabilityandresponsivenesstoindustrychallenges”.

JoséSanchez,

PMOManageratIdrica.

"In2025,artificialintelligencewillbethecatalystthattransformscustomerjourneysandtheir

businesses,drivingsustainabilityandinnovation,powering

intelligentoperations,andmaximizingefficiency”.

MariaMalhadas,

DirectorClientSolutionsEuropeatXylem.

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trEnd2

Cybersecurity:greaterprotectionforinfrastructure

Industrialmonitoringandcontrolsystems,suchasthoseusedintreatmentplantsanddistributionnetworks,requireconstantupdatestopreventunauthorizedaccessandmanipulationordeletionofsensitivedata.Therefore,thetrendsforthisyearneedtofactorinsolidincidentresponseandbackupstrategies,aswellasproactiveapproachessuchasnetworksegmentationandmultifactorauthentication.

TheCyberthreatPredictionsfor2025report,publishedbyFortinet,hasrevealedthatAI-designedattacks,focusedonthecloudandincludingreal-lifethreats,areatrendintheupcomingyear.Theareasmostaffectedbycyberattacksin2025arelikelytobeoperationaltechnology(OT)andcriticalsystemsinsectorsthatdependondatacontinuity.Thisincludesthewatersector.

Keystrategiestostrengthencybersecurityin2025

1.

Technologyupgradesandphysicalsecurity

In2025,tostrengthencybersecurityinthewatersector,systemssuchasSCADAwillneedregularupgradestokeepupwithtoday'ssecuritystandards,factoringintoolssuchasnetworksegmentationandrobustauthentication.Additionally,remotecontrolstationsmustbeequippedwithphysicalsecuritymeasures,suchassurveillanceandanti-intrusionsystems.

2.

Continuousmonitoringandriskassessments

Real-timemonitoringsystemsdetectandmitigatethreatsbeforetheyescalate.Meanwhile,continuousriskassessmentsin2025willbeessentialforidentifyingcriticalvulnerabilitiesandplanningpreventiveactions.Thesetools,integratedwithSecurityInformationandEventManagementSystems(SIEM),arefundamentaltotheeffectivenessofSecurityOperationsCenters(SOCs).

3.

Strengtheningthesafetyculture

Buildingacybersecurity-focusedorganizationalculturewillbeamustin2025.Thisencompassesemployeetrainingprogramsandtheimplementationofstrictpolicies,suchasdataencryptionandmulti-factorauthentication,toprotectagainstunauthorizedaccess.

4.

Resilienceandrecoveryplansinthefaceofattacks

Establishingredundanciesinsystemsanddesigningrecoveryplansensuresoperationalcontinuityinthefaceofseverecyber-attacksandtechnicalfailures.Thesemeasureswillbevitalin2025,especiallytomaintainpublictrustincriticalinfrastructures.

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Impactofacomprehensivestrategy

Arobustcybersecuritypolicywillbeanexpectedstandardincriticalinfrastructuresin2025.RegulationssuchastheNIS2DirectiveinEuropewillnotonlydictatestrictstandardsbutwillalsoencourageinternationalcooperationtoensureeffectiveresponsestocyberincidents.

Companiesthatembraceaholisticapproachwillbebetterequippedtomitigaterisksandpositiontheirservicesasleadersininnovationandsustainability.Thisvisionwillstrengthentheircorporatereputationandensuremoreefficientoperationsinanincreasinglyconnected,heavilyregulatedenvironment.

Benefitsofinvestingincybersecurity

Thefollowingelementsunderscoretheneedtoinvestincybersecurityasoneofthecornerstonesforwatersectorsustainabilityandcompetitivenessin2025:

Resourcepreservationandpublictrust

Robustmeasureswillberequiredtoprotectwaterasanessentialresourcetoensureitsqualityandquantity,preventinginterruptionsinsupply.

Protectionofsensitivedata

Utilitieshandlecriticalinformationincludingpersonalandfinancialdata.Protectingthisdatawillpreventinformationtheft,aswellaseconomiclossesassociatedwithserviceinterruptions.

Operationaloptimizationandreputation

Efficientcybersecuritydeploy-mentsreducethedowntimescausedbyattacks,improvespro-ductivityandreinforcescustomertrust,strengtheningbusinessrepu-tationinthefaceofcompetition.

"Integratingnewtechnologieswithrobustcybersecuritypractices

strengthensoperationsandreinforcesusertrust."

Bego?aGonzález

HeadofQualityandInformationSecurityatIdrica.

Inconclusion,

strengtheningcybersecurityinthewatersectorwillbeparamountin2025,giventheincreaseindigitalthreats.Technologicalupgrades,alongwithstrategiessuchasnetworksegmentationandmulti-factorauthentication,willbekeytoprotectingcriticalinfrastructures.Inaddition,continuousmonitoring,securitytrainingandtheimplementationofresilienceplanscanhelptosafeguardoperationalcontinuityandbolsterpublictrust,positioningcompaniesasleadersininnovation.

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trEnd3

Waterlosscontrol:reductionofnon-revenuewater

Controllingwaterlossesiscriticalforwaterutilitiesaroundtheworld.Theneedtooptimizewaterdistributionsystemsandreducenon-revenuewater(NRW)isessentialtoboostefficiency,guaranteesustainabilityandreducecosts,thoughthisrequiresorganizationalchangetoensureongoingimprovementsinwaterefficiency.

Theimplementationofdifferenttypesoftechnologysuchasreal-timedataanalyticsandDMAswillbeinstrumentalinmodernizingwaterutilitiesandtacklinglossesin2025.Thefollowingtechnologiesoffercompetitiveadvantagesintermsofdecision-makingwhendetectingleaks,aswellasincreasingwatersupplytimes,boostingoperationalefficiency,andoptimizingtheinvestmentstobemadeinwatersystems.

1.Digitaltwins

Theirabilitytoprovideacomprehensiveoverviewofthesystemandsimulateavarietyofscenariosenablesutilitiestoanalyzeresponsestodifferentcircumstances.Inaddition,theyboostoperationalandplanningefficiencybydeliveringaholisticvisionofthesystem,enablinginformeddecisionsthatreduceenergycostsandoptimizehydraulicparameters.

2.Advancedmeteringinfrastructure(AMI)

TheimplementationofAMIwillbeanotherkeytrendindrinkingwaterdistributionsystemsin2025.UnlikeAutomaticMeterReading(AMR),AMIgoesastepfurtherasitnotonlyperformsremotereading,butalsointegratesandprocessesinformationthroughbigdatatechnologies,makingextensiveuseofdigitalplatforms.InutilitieswhereAMIisalreadywellestablished,thechallengewillbetoreceivedatawithlesstimegranularity,makingwaterconsumptiondataavailableatintervalsoflessthanonehour.

"DMAsareausefultoolfordividingawaternetworkintomanageablesections.Utilitiescancalculate

waterbalancesanddetectareaswithexcessivewaterlossesbymonitoringinflowsandoutflowsineachDMA,withvirtualoptionsprovidingamoreflexible,cost-effectivealternative."

PabloCalabuig,

LatinAmericaandCanadaDirectoratIdrica

3.GeographicInformationSystems(GIS)

In2025,GISwillconsolidatetheirroleasessentialtoolsforwaterutilities.Thankstoadvancesinsensorsforinfrastructures,thesesystemscanfactoringreaterinformationflows,suchaspipematerial,installationdatesandincidenthistory,thushelpingtopreventfailuresthatcouldleadtoseriousmaterialdamage.GISarecapableofrepresentinganydatawithageospatialcomponent,fromsatelliteimagesandsensordatatovectorinformation,thusenablingbetterinformeddecisionstobemadeinsupplysystems.

Inconclusion,

futureinnovationsinreal-timedataanalyticsandDMAmanagementtocontrolwaterlosseswillbringmoreaccurate,fasterandmorecost-effectivetoolsin2025.TheuseofadvancedtechnologiessuchasAI,IoT,enhancedsensorsanddigitalplatformswillimprovewaterresourcemanagementandprotection,optimizingtheiruseinthecontextofanincreasingneedforsustainabilityandresilience.

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4.BenefitsofDistrictMeteringAreas(DMAs)

Thereisatrendtowardstheuseofreal-timedataanalyticsandDMAs,astheyareadvancedsolutionstoaddressthechallengesofdetectingandcontrollingleakswithindistributionsystems.Bydividingawaternetworkintosmallersections,utilitiescancalculatewaterbalances,anddetectareaswithexcessivelossesbymonitoringinflowsandoutflowsineachsection,thusimprovingthequalityofserviceprovided.

5.Advancedleakdetectiontechniques

Advancedtechniquessuchasacousticmonitoring,fiberopticsandreal-timedataanalyticsfromsmartmetersandpressuresensorscanfurtheroptimizewaterlosscontrol.Thesetechnologiesenableutilitiestoidentifyandrepairleaksquickly,minimizingwaterwaste.Inaddition,embeddingthesesystemsintoanalyticalplatformsprovidesacontinuousfeedbacklooptoboostnetworkefficiency.

"Dataavailabilityisnotthemain

challenge.Theproblemliesinhowdataisused.Manycompanies

haveinstalledsystemssuchasSCADAandAMI,buttheyoperateinisolation.Integratingdatain

theseplatformsbringsaholisticviewofwatersystems,breaks

downinformationsilosand

ensuresthatfieldoperatorsandutilitieshaveaccesstoactionableinformation”.

ManuelParra

VicePresidentStrategicPartnershipsandAlliancesatXylem.

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trEnd4

Optimizationofwastewaterplants:theroleofemergingtechnologies

Astheglobalpopulationgrowsandurbanizationaccelerates,wastewatertreatmentplants(WWTPs)arefacingincreasingpressuretodeliverhigh-qualityeffluentwhileminimizingtheirenvironmentalimpactandoperationalcosts.ManyorganizationssuchastheUnitedNationshavealreadyearmarked2025astheyearinwhichtheworld’spopulationissettoreach8.2billion,afigurethatexacerbateswaterstressandplacesWWTPsinthespotlightintermsofsustainability.

Therecenttechnologicaltrendsthatpointtodigitizationandinnovativeapproacheswillcontinuetorevolutionizethewayinwhichwastewateristreatedin2025,signalingashifttowardsmoreefficient,intelligentandsustainablesystems.

Thisyear,twoaspectsofsustainabilitymustbetakenintoaccount.Firstly,sustainabledigitaltransformation,understoodastheenvironmentallyfriendlyuseoftechnology,andsecondly,digitalsustainability,i.e.,theprocessthroughwhichcompaniescanaccessandexploittheirdatathankstointelligentsolutionsandapplications,regardlessoftheirsuppliers.

Industry4.0technologiesarerevolutionizingwastewatermanagement.Smartsensors,IoTdevicesandanalyticsdrivenbyartificialintelligence(AI)enablereal-timemonitoringofwaterquality,equipmentperformance,andenergyconsumption.Thesetoolsenableutilitiestopredictequipmentfailures,optimizetreatmentprocesses,andensureregulatorycompliance.

Inaddition,thenewDirective(EU)2024/3019establishesstricterstandardsforthereuseofwastewaterbyincreasingqualityrequirements.Thisposesachallengeforwastewatertreatmentplants(WWTPs)asitrequiresthemtoimplementadvancedtechnologiessuchasmembranefiltrationandUVdisinfection.ItalsodemandscontinuousmonitoringwithIoTsensorsandpromotesenergyneutralitythroughanaerobicdigestion.Furthermore,itstrengthensthecirculareconomybyencouragingreuseinagricultureandindustry,aswellasincludingproducerresponsibilityforcoveringthecostsofmicrocontaminantremoval.Thesemeasuresrequiresignificantinvestmentsandtechnologicaladaptationstomeetthesenewqualityandsustainabilitycriteria.

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2025trendsinwatertreatmenttechnologies

Operationaloptimization

AImodelsfinetuneprocessessuchaschemicaldosingandenergyuse,bringingcostsavingsandregulatorycompliance.

Data-drivenprocessoptimization

Byleveragingbigdataanalyticsandmachinelearning,TreatmentSystemOptimization(TSO)solutionsstreamlinewastewatertreatmentbyrefiningprocessessuchasaeration,chemicaldosing,andsludgeretentioninrealtime.TSOemploysdecisionintelligencetoprovideactionableinsights,ensuringcompliancewitheffluentstandardswhileminimizingenergyandchemicaluse.

Predictivemaintenance

AIdetectspatternsindatatoanticipateequipmentfailures,thusminimizingdowntimeandextendingassetlife.

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Enhanceddecision-making

Real-timeinsightsenablefaster,better-informeddecisions.

Sustainability

AI-drivensolutionsreduceenvironmentalimpactsandencourageefficientresourceusage.

Waterreuseandsustainability

Thegrowingscarcityofwaterdrivestheimplementationoftechnologiesthatenablethesafereuseoftreatedwaterinapplicationssuchasagriculturalirrigationandurbanuses,contributingtosustainabilityandtheconservationofwaterresources.

Dischargecontrolandhydraulicefficiency

TheuseofIoTsensorsandbigdataenablesreal-timemonitoringofthesanitationnetworkandWWTPs,detectingdischargesandoptimizinghydraulicperformance.

AIanddigitaltwinintegration

Theintegrationofartificialintelligenceanddigitaltwintechnologiesinwastewatertreatmentplantsrepresentsatransformativeapproachtoimprovingoperationalefficiency,reducingcosts,enhancingdecision-making,andachievingsustainabilitygoals.Challengesincludeensuringdataquality,optimizingprocessmonitoring,andembeddingAIintoorganizationalculture.

Currently,AIuptakeintreatmentplantsisaround10-15%,primarilyinlargerutilities.In2025,thisfigureisexpectedtoriseto25-30%,asAIsolutionsbecomemorecost-effective,andtheirROIbecomesclearer.

Thistrendwillincreaseinthecomingyears.Expertspointoutthatby2035,AIwillbeusedin70-80%ofwatertreatmentoperationsglobally,drivingcompliance,safety,andefficiencyacrossthesector.

ThisparadigmshiftpinpointsAIanddigitaltwinsaskeycomponentsinadvancingwatertreatmenttechnologies.

Inconclusion,

digitalizationistransformingwastewatertreatmentplantsintointelligent,sustainablefacilitiesthatmeetthedemandsofarapidlychangingworld.WWTPsarebecomingmoreefficient,improvingcompliance,andenhancingenvironmentalstewardshipthankstoreal-timemonitoring,predictiveanalytics,andautomation.Astechnologyadvances,includingWWTPsinsmartcityframeworkswillenhancetheirroleaskeycontributorstosustainableurbanecosystems.

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trEnd5

Floodmanagement:effectiveresponsestoextremeevents

Digitalizationissettoemergeasacrucialtoolin2025formanagingbothurbanandfluvialfloods.Wearelikelytowitnessanumberoftrendsandtechnologicalsolutionstailoredtothecharacteristicsofdifferentfloodtypes.

Theincreasingfrequencyoffloods,suchasthosethatoccurredinValencia(Spain),southernBrazil,andeasternAfricain2024,underscorestheurgentneedtoimplementadvancedandinnovativetechnologiesforearlywarningsystemsanddecision-supporttoolstoaddresstheseevents.Theadoptionofsuchtechnologies,combinedwithcomprehensiveterritorialmanagementpolicies,cansignificantlyreducetherisksandimpactsoffuturesimilarcatastrophes.

1.DecisionSupportSystems(DSS)

Floodmanagementposeschallengesthatdemandadvancedtoolstooptimizedecision-makingandriskprevention.DSSusedigitaltechnologiesandpredictivealgorithmsforreal-time,mediumandlong-termplanningandmanagement.Thesetoolsenabletheanalysisoflargedatasets,helpidentifytrends,anddevelopstrategiespoweredbyartificialintelligence.

2.EarlyWarningSystems(EWS)

EWSfocusontheshortterm,generatingalertsforextremeweathereventswithminimalleadtimes.Theyfacilitaterapidresponsestoimpendingfloods,providingtimetoactivateemergencyplans.EWScombinedetailedinformationabouttopographyandterraincharacteristicswithadvancedhydrologicalmodelstosimulatehowriversandchannelsmightbehaveduringheavyrainfall.Althoughthesesystemsincludehydrologicalsimulationsandhistoricaldata,theircorepreventionfunctionalitiesarereal-timealertsandmanagement.

BothDSSandEWSrelyonkeytoolsformanagingfloodsinurbanandfluvialcontexts.Thefollowingtechnologieswillcontinuetogaintractionin2025:

IoTsensorsandsmartnetworks

Waterlevelsensorsinstalledin