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Urban-Flood Risk Mapping of Chennai's Adyar Sub-Basin Using AHP-Weighted GIS Overlay (QGIS)

  • 12 slides
  • 15 viva questions
  • 6 modules
  • No code needed

@adyar-sub-basin-urban-flood-risk-ahp-gisUpdated Oct 2026

An M.Plan thesis that asks where the water goes, who lives there, and what the development plan should do about it

M.Plan, Environmental Planning · Sem 8 (B.Plan) / 4 (M.Plan) · Advanced · 24 weeks · Solo

More info
Level
Advanced · 24 weeks · Solo
Relevant for
All India
Common at
ITPI / AICTE model curriculum, School of Planning and Architecture, New Delhi, CEPT University
Syllabus
ITPI ITPI / AICTE model · Planning Thesis (individual; report + drawings + jury) · Semester 8 (B.Plan) / 4 (M.Plan)
Tech stack
  • QGIS (raster calculator, GRASS/SAGA hydrology tools)
  • CartoDEM / SRTM DEM
  • Sentinel-2 / Landsat imagery
  • IMD gridded rainfall
  • Census 2011 ward data
  • Excel (AHP pairwise matrix)
  • AutoCAD (plan sheets)
For educational purposes only

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  1. Pinned

    1 min

    Overview

    This M.Plan thesis builds a ward-level urban-flood risk map for the Adyar sub-basin in Chennai and turns it into land-use and development-control recommendations. Chennai's floods of December 2015 showed that heavy rain alone does not explain the damage: the city had built over tanks, marshes and floodplains, narrowed channels and paved the catchment, so water had nowhere to go and people had nowhere to escape.

    The thesis treats flood risk as the product of hazard and vulnerability. Hazard layers — elevation and slope from CartoDEM or SRTM, drainage density, distance to the river and major channels, IMD gridded rainfall, land use/land cover classified from Sentinel-2 imagery and soil hydrological group — are reclassified and weighted using Saaty's Analytic Hierarchy Process (AHP), with a consistency check on the pairwise matrix. Vulnerability layers are built from Census 2011 ward data (population density, share of slum population, households without pucca housing) and a map of critical facilities such as hospitals, schools and electrical substations.

    Everything is done in QGIS with open data from Bhuvan, USGS and the Census. The hazard map is validated against publicly released inundation maps of the 2015 event, and the final risk zones are used to propose a flood-sensitive zoning overlay, buffer rules along channels, restoration of water bodies and priority wards for drainage investment, framed within NDMA's urban-flooding guidelines and URDPFI 2015.

    Syllabus alignment

    ITPI · ITPI / AICTE model

    Planning Thesis (individual; report + drawings + jury) · Semester 8 (B.Plan) / 4 (M.Plan)

    Subjects this project applies
    • Environmental Planning and Management
    • Remote Sensing and GIS for Planning
    • Planning Techniques (quantitative methods, multi-criteria analysis)
    • Disaster Risk Reduction and Resilience Planning
    • Urban Infrastructure (storm-water drainage)
    • Planning Legislation (development-control regulations)
    How it is evaluated

    Team: thesis individual; studios in groups

    1 min read · 15 viva questions

  2. 2 min

    Synopsis

    Abstract

    Urban flooding in Indian cities is increasingly a planning failure rather than a purely hydrological one. This thesis develops a replicable GIS-based method to identify flood-risk zones at ward level in the Adyar sub-basin of Chennai by combining hazard and vulnerability indicators through an AHP-weighted overlay in QGIS. The hazard component is validated against mapped inundation from the 2015 floods. The output is a risk-zonation map and a set of land-use, development-control and infrastructure recommendations aimed at the city's master-planning process.

    Introduction

    The Adyar river drains a large part of south and west Chennai, including fast-growing peri-urban areas around the airport and the IT corridor. Its catchment once held a dense network of irrigation tanks and marshes that stored monsoon water. Rapid urbanisation converted many of these into layouts, roads and institutional campuses. When the north-east monsoon brings intense rainfall, runoff reaches the river faster and in greater volume than the channel and the remaining storage can handle.

    Literature gap

    GIS and multi-criteria methods for flood-hazard mapping are well established, and several studies have mapped Chennai's 2015 inundation. Fewer studies take the next planning step: combining hazard with social vulnerability at the ward level and translating the result into development-control language that a master plan could adopt. Many hazard studies also stop without validation. This thesis addresses both gaps with a validation step and a planning-proposals chapter.

    Existing approach vs proposed approach

    • Existing: flood response is largely engineering-led — desilting, new drains, relief works — and land-use plans rarely carry a flood-risk overlay. Development permissions are granted plot by plot without a basin-level view.
    • Proposed: a transparent, reproducible risk map that planners can update, with weights that are documented and tested, and zoning categories that link each risk class to permitted uses, plinth levels, ground-coverage limits and mandatory on-site retention.

    Feasibility

    • Data: all core datasets are public — CartoDEM from Bhuvan, SRTM and Landsat from USGS EarthExplorer, Sentinel-2 from Copernicus, gridded rainfall from IMD, and ward tables from the Census of India.
    • Technical: QGIS with GRASS and SAGA tools handles hydrological processing, reclassification and weighted overlay on an ordinary laptop.
    • Institutional: recommendations are framed in terms already used by Indian planning bodies (URDPFI land-use categories, NDMA guidelines), so they can be discussed with a development authority.
  3. 1 min

    Problem statement

    Large parts of the Adyar sub-basin in Chennai flood repeatedly during intense north-east monsoon rainfall, with severe loss of life, property and livelihoods in the 2015 event. Flood exposure is not evenly distributed: low-lying areas that were once tanks or floodplains now carry dense housing, including informal settlements with the least capacity to cope and recover. Yet the city's statutory land-use planning does not carry a systematic, ward-level flood-risk layer, and development permissions continue in areas that function hydrologically as storage.

    The problem this thesis addresses is: which wards and land parcels in the Adyar sub-basin carry the highest combined flood hazard and social vulnerability, and what land-use, development-control and infrastructure measures should the master plan adopt for each risk class? The answer must come from a documented, reproducible method with validated results, not from a one-off map.

  4. 1 min

    Objectives & scope

    1. 01Delineate the Adyar sub-basin and its micro-watersheds from a DEM using QGIS hydrological tools.
    2. 02Prepare and reclassify hazard layers: elevation, slope, drainage density, distance to channels, rainfall, land use/land cover and soil hydrological group.
    3. 03Derive hazard-layer weights through AHP pairwise comparison and check the consistency ratio.
    4. 04Build a ward-level vulnerability index from Census 2011 indicators and critical-facility locations.
    5. 05Combine hazard and vulnerability into a risk-zonation map and validate the hazard map against mapped 2015 inundation.
    6. 06Test how sensitive the risk classes are to changes in the AHP weights.
    7. 07Propose a flood-sensitive zoning overlay, development-control provisions and priority interventions for high-risk wards.

    Scope

    In scope

    • The Adyar sub-basin within the Chennai Metropolitan Area, analysed at a 30 m raster resolution and summarised by ward.
    • Pluvial and fluvial flooding driven by monsoon rainfall; hazard by multi-criteria overlay, not hydraulic modelling.
    • Vulnerability from Census 2011 (the latest available ward-level census) plus a critical-facilities inventory.
    • Planning recommendations: zoning overlay, development-control provisions, water-body restoration and priority drainage works.

    Out of scope

    • Hydrodynamic modelling (HEC-RAS or similar) and detailed drainage design.
    • Coastal storm-surge and sea-level-rise flooding.
    • Cost–benefit analysis of individual engineering works.
    • Parcel-level legal review of encroachments.
  5. 1 min

    Methodology

    The thesis uses a quantitative spatial research design with a planning-proposals stage. It runs over about 24 weeks with a review at the end of each stage.

    StageWeeksWorkOutput
    1. Literature & framework1–3Flood-risk concepts, MCA/AHP methods, NDMA guidelines, previous Chennai studiesConceptual framework, indicator list
    2. Data collection4–7DEM, imagery, rainfall, soil, ward boundaries, Census tables, critical facilities, 2015 inundation extent; field visits to three flood-prone localitiesGeodatabase, field notes, photo log
    3. Hazard analysis8–12Watershed and stream delineation, drainage density, slope, distance rasters, supervised LULC classification with accuracy assessment, reclassification to five classes, AHP weightsHazard layers, AHP matrix with consistency ratio, hazard map
    4. Vulnerability & risk13–15Normalise census indicators, build vulnerability index, combine with hazardVulnerability map, risk-zonation map
    5. Validation & sensitivity16–17Overlay with 2015 inundation, agreement statistics, weight-perturbation testsValidation table, sensitivity maps
    6. Proposals & jury18–24Zoning overlay, development-control provisions, ward priorities, report and sheetsProposal sheets, report, presentation

    Stakeholder input: short semi-structured interviews with residents' welfare associations and, where possible, an officer of the local body or development authority, to test whether the proposals are practical. Interview notes are anonymised.

  6. 1 min

    Architecture & tech stack

    • QGIS (raster calculator, GRASS/SAGA hydrology tools)
    • CartoDEM / SRTM DEM
    • Sentinel-2 / Landsat imagery
    • IMD gridded rainfall
    • Census 2011 ward data
    • Excel (AHP pairwise matrix)
    • AutoCAD (plan sheets)

    The study design is a hazard × vulnerability overlay with a validation loop. The flowchart below is the method sheet used in the report and at the jury.

    flowchart TD
      A[DEM: CartoDEM / SRTM] --> B[Watershed, streams, slope, drainage density]
      C[Sentinel-2 imagery] --> D[Supervised LULC classification + accuracy check]
      E[IMD gridded rainfall] --> F[Rainfall surface]
      G[Soil map] --> H[Hydrological soil group]
      B --> I[Reclassify to 5 hazard classes]
      D --> I
      F --> I
      H --> I
      I --> J[AHP weights + consistency ratio]
      J --> K[Hazard index map]
      L[Census 2011 ward tables] --> M[Vulnerability index]
      N[Critical facilities] --> M
      K --> O[Risk = Hazard x Vulnerability]
      M --> O
      K --> P{Validate vs 2015 inundation}
      P --> Q[Sensitivity tests on weights]
      O --> R[Risk zones by ward]
      Q --> R
      R --> S[Zoning overlay and development-control proposals]

    Indicator logic

    • Hazard: lower elevation, gentler slope, higher drainage density, shorter distance to channels, higher rainfall, impervious land cover and soils with low infiltration all raise the hazard score.
    • Vulnerability: higher population density, a larger share of slum population and poorer housing condition raise the vulnerability score; wards with hospitals or substations in high-hazard cells are flagged separately because their failure affects the whole city.
    • Risk classes: five classes (very low to very high) using natural breaks, reported as both raster and ward summaries so that they can be read by planners who work in administrative units.
  7. 6 modules

    Modules

    • Basin Delineation & Terrain Analysis

      Fills sinks in the DEM, computes flow direction and accumulation, delineates the sub-basin and micro-watersheds, extracts the stream network and derives slope, elevation classes, drainage density and distance-to-channel rasters in QGIS.

    • Land Use / Land Cover Classification

      Classifies recent Sentinel-2 imagery into built-up, vegetation, water, open land and wetland classes using supervised classification, then checks accuracy with a confusion matrix and kappa coefficient from ground-truth points collected in the field and from high-resolution imagery.

    • AHP Weighting

      Builds a pairwise comparison matrix of the hazard factors from literature and expert opinion, computes priority weights by the eigenvector method in Excel, and accepts the weights only if the consistency ratio falls below Saaty's 0.10 threshold.

    • Vulnerability Index

      Normalises Census 2011 ward indicators such as population density, slum population share and housing condition, combines them into a composite index, and maps critical facilities like hospitals, schools and substations against the hazard layer.

    • Risk Zonation & Validation

      Multiplies hazard and vulnerability into a risk surface, classifies it into five classes, summarises results by ward, and validates the hazard map against mapped 2015 inundation with an agreement table and sensitivity tests on the weights.

    • Planning Proposals

      Translates each risk class into a flood-sensitive zoning overlay, development-control provisions such as plinth levels, ground coverage and on-site retention, channel buffers, water-body restoration and a ranked list of priority wards.

  8. Locked

    Presentation

    12 slides with speaker notes. The outline below is free; the bullets, notes and the generated .pptx unlock with the project.

    1. Urban-Flood Risk Mapping: Adyar Sub-Basin
    2. Why this thesis
    3. Aim, objectives, scope
    4. Study area
    5. Data inventory
    6. Method
    7. Hazard analysis
    8. AHP weights
    9. Vulnerability & risk
    10. Validation & sensitivity
    11. Planning proposals
    12. Conclusion & future scope

    Bullets, speaker notes and the .pptx download unlock with the project.

    Presentation is locked: 12 slides, Speaker notes, .pptx download.

  9. 1 min

    Future scope

    • Couple the risk map with a 1D/2D hydraulic model for a pilot micro-watershed to test drainage options.
    • Update vulnerability with the next census and local-body household surveys.
    • Add climate-change rainfall scenarios to test how the risk classes shift.
    • Build a public web map so residents' associations can see their ward's risk and the proposed provisions.
    • Extend the method to other basins in the metropolitan area for a region-wide flood overlay.
  10. 7 sources

    References

    1. National Disaster Management Guidelines: Management of Urban Flooding (2010) — NDMA
    2. Saaty, T. L. — The Analytic Hierarchy Process (1980)
    3. URDPFI Guidelines 2015 — Town and Country Planning Organisation, MoHUA
    4. Bhuvan geoportal — National Remote Sensing Centre, ISRO
    5. Census of India — Primary Census Abstract and ward-level tables
    6. QGIS User Guide
    7. Congalton, R. G. and Green, K. — Assessing the Accuracy of Remotely Sensed Data: Principles and Practices

    Cite this bundle

    OnlyProjects. (2026). Urban-Flood Risk Mapping of Chennai's Adyar Sub-Basin Using AHP-Weighted GIS Overlay (QGIS): M.Plan Environmental Planning project bundle [Educational resource]. https://onlyprojects.online/projects/mplan-env-adyar-sub-basin-urban-flood-risk-ahp-gis

Slides, diagrams & files

12 slides. Titles are free; bullets, speaker notes and the .pptx unlock with the project.

  1. SLIDE 1

    Urban-Flood Risk Mapping: Adyar Sub-Basin

  2. SLIDE 2

    Why this thesis

  3. SLIDE 3

    Aim, objectives, scope

  4. SLIDE 4

    Study area

  5. SLIDE 5

    Data inventory

  6. SLIDE 6

    Method

  7. SLIDE 7

    Hazard analysis

  8. SLIDE 8

    AHP weights

  9. SLIDE 9

    Vulnerability & risk

  10. SLIDE 10

    Validation & sensitivity

  11. SLIDE 11

    Planning proposals

  12. SLIDE 12

    Conclusion & future scope

Architecture diagram

1
flowchart TD
  A[DEM: CartoDEM / SRTM] --> B[Watershed, streams, slope, drainage density]
  C[Sentinel-2 imagery] --> D[Supervised LULC classification + accuracy check]
  E[IMD gridded rainfall] --> F[Rainfall surface]
  G[Soil map] --> H[Hydrological soil group]
  B --> I[Reclassify to 5 hazard classes]
  D --> I
  F --> I
  H --> I
  I --> J[AHP weights + consistency ratio]
  J --> K[Hazard index map]
  L[Census 2011 ward tables] --> M[Vulnerability index]
  N[Critical facilities] --> M
  K --> O[Risk = Hazard x Vulnerability]
  M --> O
  K --> P{Validate vs 2015 inundation}
  P --> Q[Sensitivity tests on weights]
  O --> R[Risk zones by ward]
  Q --> R
  R --> S[Zoning overlay and development-control proposals]

Files

Viva questions & answers

3 of 15 questions free. Explain each answer in your own words before you move on.

  1. Concept

    What is the difference between flood hazard, vulnerability and risk in your study?

    Hazard is the physical likelihood and severity of flooding at a place, from terrain, rainfall, land cover and soils. Vulnerability is how badly people and assets suffer if flooded, from density, slum share and housing condition. Risk combines both, so a low-lying empty marsh can have high hazard but low risk.

  2. Concept

    Why did you use AHP instead of equal weights?

    The factors do not influence flooding equally; elevation and distance to channels matter more than soil type in this flat, urbanised basin. AHP lets me compare factors two at a time using literature and expert judgement, produces explicit weights, and gives a consistency ratio that shows whether those judgements contradict each other.

  3. Concept

    What does the consistency ratio tell you, and what threshold did you use?

    It compares the inconsistency of my pairwise matrix with that of a random matrix of the same size. Saaty suggests accepting matrices with a ratio below 0.10. When my first matrix exceeded that, I revisited the judgements that conflicted until the ratio came below the threshold.

+12 more questions

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