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Research: Quantitative Assessment of Water-Distribution Network Resilience to Contamina...

Field: Civil Engineering Type: Research project Bloom: Create / Evaluate Level: Final-year / PG capstone Inspired by: MIT / Stanford / Oxford research agendas

Real-world project · AICTE-aligned · AI-graded · Audit-ready certificate

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About this project
Research: Quantitative Assessment of Water-Distribution Network Resilience to Contamination and Demand Shocks Using Simulation-Based Analysis

Research question: How do contamination events and sudden demand shocks impact the operational resilience of urban water-distribution networks, and what mitigation strategies can enhance their robustness?

Background & Motivation: Urban water-distribution networks are critical infrastructures that must reliably deliver safe water even amidst various disruptions. Recent incidents have highlighted vulnerabilities to both contamination events (e.g., accidental chemical spills, intentional sabotage) and rapid changes in water demand (e.g., firefighting, extreme weather).

Research Gap / Question: While reliability analysis of water networks is well established, fewer studies have systematically quantified the resilience of these systems under simultaneous contamination and demand shocks, especially using high-fidelity network models and real-world operational data.

Approach & Expected Contribution: This project will employ hydraulic simulation tools (e.g., EPANET) to model representative urban water networks under various contamination and demand shock scenarios. Metrics of resilience—such as time to recovery, population exposed, and service level—will be computed and compared across different mitigation strategies (e.g., isolation valves, booster chlorination, demand management). The research will generate recommendations for improving network design and operational policies.

Why It Matters: Enhancing the resilience of water-distribution networks is vital for public health and urban sustainability. This research will provide actionable insights for utilities, engineers, and policymakers, enabling more robust planning for future disruptions.

Milestones
1. Literature Review & Problem Definition
18 marks 20d
Conduct a critical review of existing literature on water-network resilience, identify research gaps, and refine the problem statement.
2. Research Proposal & Hypotheses
10 marks 14d
Develop research objectives, formulate specific hypotheses, and prepare a detailed proposal for supervisor approval.
3. Methodology & Experimental Design
17 marks 20d
Design the simulation framework, select case study networks, and define contamination and demand shock scenarios.
4. Data Collection / Experimentation
18 marks 20d
Develop network models, implement scenarios in EPANET, and collect simulation data for various resilience metrics.
5. Analysis & Results
20 marks 22d
Analyze simulation outputs, evaluate resilience metrics, and compare the effectiveness of mitigation strategies.
6. Thesis Write-up & Defense
17 marks 20d
Synthesize findings into a comprehensive thesis, prepare visualizations, and defend results before an examination panel.
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Upcoming sessions
SessionWindowEnrolled
Research: Quantitative Assessment of Water-Distribution N... 11 Jun 2026 to 10 Jun 2028 0
Skills you'll learn
ResearchCivil EngineeringComprehensive literature review and synthesisHydraulic and water-quality network modelingSimulation-based experimental designQuantitative resilience metrics developmentScenario and sensitivity analysisData interpretation and visualizationCritical academic writing and reportingApplication of civil infrastructure resilience theory
Tools used
EPANET hydraulic and water-quality simulation softwarePython or MATLAB for data processing and automationPublic datasets of urban water networks (e.g.Battle of the Water Networks II)Geographical Information Systems (GIS) for spatial analysisStatistical analysis packages (e.g.RSPSS)Graph theory for network vulnerability analysisVisualization tools (e.g.TableauMatplotlib)
Prerequisites
Fluid Mechanics / HydraulicsWater Resources EngineeringProbability & Statistics for EngineersIntroduction to Environmental Engineering
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