about
Bayesian networks in environmental and resource management.Global resilience analysis of water distribution systems.A global analysis approach for investigating structural resilience in urban drainage systems.A framework to support decision making in the selection of sustainable drainage system design alternatives.Clustering analysis of water distribution systems: identifying critical components and community impacts.An evolutionary Bayesian belief network methodology for participatory decision making under uncertainty: an application to groundwater management.Benchmarking sustainability in cities: The role of indicators and future scenariosScenario Archetypes: Converging Rather than Diverging ThemesThe Local Nexus Network: Exploring the Future of Localised Food Systems and Associated Energy and Water SupplyImplications of Urban Form on Water Distribution Systems PerformanceAn evolutionary Bayesian belief network methodology for optimum management of groundwater contaminationHierarchical Decomposition of Water Distribution Systems for Background Leakage AssessmentA New Approach to Urban Water Management: Safe and SureA Web-based Platform for Water Efficient HouseholdsForecasting Domestic Water Consumption from Smart Meter Readings Using Statistical Methods and Artificial Neural NetworksCorrelation or not Correlation? This is the Question in Modelling Residential Water Demand PulsesPreserving Duration-intensity Correlation on Synthetically Generated Water Demand PulsesPipe Failure Prediction in Water Distribution Systems Considering Static and Dynamic FactorsIdentification of parameters for air permeability of shotcrete tunnel lining using a genetic algorithmConsidering the Mutual Dependence of Pulse Duration and Intensity in Models for Generating Residential Water DemandClosure to “Optimum Design and Management of Pressurized Branched Irrigation Networks” by Raziyeh Farmani, Ricardo Abadia, and Dragan SavicEvolutionary Bayesian Belief Networks for Participatory Water Resources Management under UncertaintyAssessing pipe failure rate and mechanical reliability of water distribution networks using data-driven modelingOptimum Design and Management of Pressurized Branched Irrigation NetworksReal-time modelling of a major water supply systemEvolutionary multi-objective optimization in water distribution network designFuzzy Rules for Hydraulic Reliability-Based Design and Operation of Water Distribution SystemsSelf-Adaptive Fitness Formulation for Evolutionary Constrained Optimization of Water SystemsTrade-off between Total Cost and Reliability for Anytown Water Distribution NetworkState of SuDS delivery in the United KingdomOptimal Rehabilitation of Water Distribution Systems Using a Cluster-Based TechniquePipeline failure prediction in water distribution networks using evolutionary polynomial regression combined with K-means clusteringTwin-Hierarchy Decomposition for Optimal Design of Water Distribution SystemsEnhancing resilience in urban water systems for future citiesReliability Indicators for Water Distribution System Design: ComparisonTowards more resilient and adaptable water distribution systems under future demand uncertaintyScenario-based sustainable water management and urban regenerationUrban futures and the code for sustainable homes
P50
Q38019474-BD062D7C-0B48-48E7-A509-D6544ED5B3F4Q38376687-4FF50CF4-EF07-47EA-B343-0E1CADFA03FAQ38858905-59B72C80-7765-4DE8-8B68-E5F749E2917DQ39308836-88C21744-54F9-46DA-92B3-1C6BDC34F9B8Q40243246-3CDF7677-0A52-4128-8627-3358B4BEB344Q51590609-0EC1E9B3-D9FB-4767-9D81-BB1CBA517B3AQ57247879-6602AE1C-961A-4B00-B0FF-6A9909E202A5Q57247882-332B98A1-A075-4165-B803-ABBEEE6E2A8DQ57918910-55B71404-D5ED-4C29-BF67-C4849E2131C5Q57924266-EBD9F708-D024-443C-974B-289B1FD8FF2CQ57934496-9E0922DF-04E9-4F39-8D7A-D09424ED45C4Q57940876-326786CF-9EC4-48EA-BA8B-CFCAFC5B685FQ57940878-05BB06E2-2C7E-42AA-842C-1856A86407C5Q57940889-213C8010-29E3-4538-B9CF-E95257BB7F52Q57940910-30E0DB4D-572F-4E60-9534-43A82C44EE2AQ57940912-A8419B40-0524-4715-BAF8-504579BD1EE8Q57940913-7B872C24-6656-43A3-8E33-74EE11F3B7D3Q57940973-BE0355F6-7F5B-4D39-9B42-0F8040A82AD2Q57944113-B7065039-6855-4341-9BE0-472D23A55424Q58897638-BE32EE5C-3C33-4DD5-9A00-4E812B9791F2Q58897706-E0280534-7CAA-46AE-AC73-17559DE78C3DQ58897709-37950359-D6A4-42FB-AC92-8C748A238367Q58897732-DB4AB842-4EBB-46CF-B2FD-CB0389538167Q58897788-DBA279F5-16C6-4EE6-9E0C-B773947E6CEFQ58897794-4E51757E-12E0-4F7E-8897-44591F4E4745Q58897828-71D67D3F-2DAB-43C0-96CA-B66E976FA2A8Q58897836-C207B3AF-A402-4125-BFF3-4945AB9484F9Q58897847-9638A483-E073-4BC4-AB88-79A2544047FAQ58897848-230AECEF-80C9-4AE5-9AB0-81E9E1485989Q63491883-10C8373F-242E-4C0F-955E-32B88D1AEA74Q63491898-A7979F54-DB36-4864-83FB-4F7DFBDA0A6BQ63491900-1BC7CAC4-233A-4D13-BBFB-BE4CB164F3ACQ63491908-5E5BD984-B5D6-45B3-9A01-70439DA25426Q63491911-24CE3189-F7FA-499E-BF59-1D25D0244B3BQ63491923-C4DDC246-255E-458A-B15C-69A34C51B2D3Q63491935-6B1804CF-A6A5-49F7-BDAB-2AF8AA84ABF1Q63491944-D88AEA71-1836-4CFD-8C72-6F9DF94FFD6EQ63491946-9109E751-6CAE-41AC-AF5F-A3EADBBE5B68
P50
description
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Raziyeh Farmani
@ast
Raziyeh Farmani
@en
Raziyeh Farmani
@es
Raziyeh Farmani
@nl
type
label
Raziyeh Farmani
@ast
Raziyeh Farmani
@en
Raziyeh Farmani
@es
Raziyeh Farmani
@nl
prefLabel
Raziyeh Farmani
@ast
Raziyeh Farmani
@en
Raziyeh Farmani
@es
Raziyeh Farmani
@nl
P106
P1153
8585125300
P31
P496
0000-0001-8148-0488