1001 Smart Cities
🇮🇳 Surat

Ukai and Tapi Flood Early Warning System

🤖 AI-generated summary of the sources below · 🔎 Last verified · ◆ 5 sourced claims, none individually verified yet

This overview was generated with AI from the public sources listed below and checked against them before publication. It has not had a complete human fact-check — treat it as a starting point and follow the sources.

How this atlas is made · What “last verified” means · What “source-checked” means · The full record behind this page

✎ Updated 20 Aug 2026 Publication date recorded for 1 source. What changed →

Surat floods when the Ukai reservoir upstream has to release water, and the city runs neither the dam nor the catchment: a release in 2006 inundated an area the Climate Technology Centre & Network puts at 75 per cent of the city. Its answer was an end-to-end early warning system built under the Surat Climate Change Trust, a public trust registered at the municipal corporation's city engineer's office: ten automatic weather stations reporting rainfall, wind speed and direction in real time, two water-level measurement units in the city, and a hydrological model that gives decision-makers a five-day forecast of inflow into the reservoir. The municipal corporation publishes a live flood monitoring dashboard carrying the Ukai reservoir level against its full reservoir level, inflow and outflow in cusecs, and creek levels in the city.

Live
Outcome🔄 Ongoing
Evidence🏛️ Officialgrades the sourcing — this entry states no impact figure
what does this mean?The strongest source is the operator's or the city's own reporting — an official report, dataset or press release. It grades who did the looking — not how well the project went. All four grades →
Run bySurat Climate Change Trust with Surat Municipal Corporation; the reservoir itself is operated by the state irrigation authorities
Scale🏙️ City-wide

🎓 Lesson

The instruments are on the right side of the problem — they measure what is about to arrive rather than what has already arrived — but they end at a recommendation. The release decision belongs to the dam's operators, so the city's forecast has to travel across an institutional boundary before it becomes an action, and the city's own dashboard is a warning surface, not a control. That is a different rung from a system where a threshold acts by itself.

🌱 EnvironmentFlood resilienceSensors & IoTWater

Sources

↗ Climate Technology Centre & Network resource entryPublished 16 January 2017Carries the scale of the 2006 event — the floods 'inundated 75% area of the city' — and the framing that the dam did not end the flooding. The linked case-study PDF was not reachable from this session; the figure and framing are taken from the resource page itself.
↗ PreventionWeb, End-to-end early warning system for Ukai and local floods in Surat CityThe publication record for the system: implementation by the Surat Climate Change Trust under the municipal corporation, ten automatic weather stations and two water level measurement units, and the reservoir inflow and outflow prediction models. The page and its PDF both returned HTTP 403 to automated requests from this session, so the content is taken from the indexed record rather than a direct read.
↗ Surat Municipal Corporation flood monitoring dashboardThe live public surface: Ukai dam level against full reservoir level, inflow and outflow in cusecs, weir-cum-causeway readings and creek levels. A continuously updating dashboard, so no publication date applies.
↗ weADAPT placemark, Surat Climate Change TrustPublished 21 August 2013Establishes the trust's legal form and seat — a city-level public trust registered under the Bombay Public Trust Act 1950, with its office at the city engineer's office of Surat Municipal Corporation. Returned HTTP 403 to automated requests from this session.
Show your work What this page rests on and what it can’t tell you · all 5 claims with their sources · the forensic record

Evidence Passport · public beta 5 addressable claims, 4 source dossiers, one permanent baseline. The passport is unreviewed — an AI-assisted structural migration, not a human or expert endorsement. Every revision keeps a permanent copy under revision history.

Inspect the claims, one by one — verbatim text, sources and caveats for all 5

The text below is copied verbatim from the published record. Each claim names the source dossiers that carry it; caveats stay attached to the claim they qualify.

Claim 1 clm-220b0b1e9d766ad5 quantitative
a release in 2006 inundated an area the Climate Technology Centre & Network puts at 75 per cent of the city
Published field
snippet · verbatim
Mapping
mapped · no interpretation or interpolation added by this passport
What the mapping says
The CTCN resource entry describes the 2006 floods as having 'inundated 75% area of the city', in the same passage that notes flooding continued even after the Ukai dam was built.
Caveat
The figure is attributed to CTCN rather than asserted: it is a share of city area given in a project description, not a measured inundation survey.

Sources carrying this claim

  1. Climate Technology Centre & Network resource entry
Claim 2 clm-4cdfa7e6ef27d0d4 descriptive
an end-to-end early warning system built under the Surat Climate Change Trust, a public trust registered at the municipal corporation's city engineer's office
Published field
snippet · verbatim
Mapping
mapped · no interpretation or interpolation added by this passport
What the mapping says
PreventionWeb records the system as implemented by the Surat Climate Change Trust, established under the supervision of Surat Municipal Corporation; weADAPT gives the trust's legal form and seat — a city-level public trust registered under the Bombay Public Trust Act 1950 with its office at the city engineer's office of the corporation.
Caveat
Both pages returned HTTP 403 to automated requests from this session, so the wording comes from their indexed records rather than a direct read.

Sources carrying this claim

  1. PreventionWeb, End-to-end early warning system for Ukai and local floods in Surat City
  2. weADAPT placemark, Surat Climate Change Trust
Claim 3 clm-6e837410b7817bdc descriptive
ten automatic weather stations reporting rainfall, wind speed and direction in real time, two water-level measurement units in the city, and a hydrological model that gives decision-makers a five-day forecast of inflow into the reservoir
Published field
snippet · verbatim
Mapping
mapped · no interpretation or interpolation added by this passport
What the mapping says
The publication record lists the installed instruments — ten automatic weather stations and two water level measurement units across the city — and describes a hydrological model providing a five-day inflow forecast to key decision makers, alongside reservoir inflow and outflow prediction models.
Caveat
The page and its PDF both returned HTTP 403 to automated requests from this session; the instrument counts come from the indexed record.

Sources carrying this claim

  1. PreventionWeb, End-to-end early warning system for Ukai and local floods in Surat City
Claim 4 clm-26e10ec7ead62b86 descriptive
The municipal corporation publishes a live flood monitoring dashboard carrying the Ukai reservoir level against its full reservoir level, inflow and outflow in cusecs, and creek levels in the city
Published field
snippet · verbatim
Mapping
mapped · no interpretation or interpolation added by this passport
What the mapping says
The corporation's disaster-management dashboard displays the Ukai dam level against the full reservoir level, inflow and outflow figures in cusecs, weir-cum-causeway readings and creek levels, alongside rainfall and tide information.
Caveat
No claim-specific caveat recorded

Sources carrying this claim

  1. Surat Municipal Corporation flood monitoring dashboard
Claim 5 clm-af419431e5d51726 descriptive
The release decision belongs to the dam's operators, so the city's forecast has to travel across an institutional boundary before it becomes an action
Published field
lesson · verbatim
Mapping
mapped · no interpretation or interpolation added by this passport
What the mapping says
Both records describe the system's purpose as improving reservoir operation decisions by informing them: the model predicts inflow so that dam managers can decide when and how much water to release. The forecasting sits with the city and its trust; the release sits with the reservoir's operators.
Caveat
No claim-specific caveat recorded

Sources carrying this claim

  1. PreventionWeb, End-to-end early warning system for Ukai and local floods in Surat City
  2. Climate Technology Centre & Network resource entry
Forensic record — source dossiers, gaps, hashes and the exact revision this page renders

This layer records what is known about each source, what is still missing, and the exact snapshot this page is rendering. A missing date, archive or hash stays visible as missing.

unreviewed Revision 2026-08-20-source-dates-b8 effective 2026-08-20 · created 2026-08-20

Awaiting operator and domain-expert review; publication of this revision implies neither.

sha256:d969226e9ae138cf24e9c11a43319d21d00c6f05f1d38032268ec1eb63c05fc4
Revision history → Permanent version link → Machine-readable record → Evidence Constitution →
5
of 5 claims mapped
4
source dossiers
2
publication dates recorded
0
archives linked
0
exact locators
0
content captures hashed

Governance facts carried by the record

Operator
Surat Climate Change Trust with Surat Municipal Corporation; the reservoir itself is operated by the state irrigation authorities
Actor types
city-government, regional-government, civil-society
Funding model
grant
Funding description
Not recorded
Cost
Not recorded
Ownership
Not recorded
Decision rights
Not recorded
Exit conditions
Not recorded

4 source dossiers

Climate Technology Centre & Network resource entry ctc-n.org · 2 linked claims

Open original source ↗

Stable source ID
src-e8d965e42467d6a6
Publisher
Name not classified · ctc-n.org
Type / language
web-page · language not classified
Published
2017-01-16
Updated
Not recorded
Source last checked
No source-level check date
Record last verified
2026-08-20
Dossier created
2026-08-20
Retrieved copy
No local capture recorded
Archive
No archived copy linked
Content hash
No captured content hash
Locator
Open the recorded source note

Carries the scale of the 2006 event — the floods 'inundated 75% area of the city' — and the framing that the dam did not end the flooding. The linked case-study PDF was not reachable from this session; the figure and framing are taken from the resource page itself.

Descriptive only — not page/paragraph exact
Claims linked
PreventionWeb, End-to-end early warning system for Ukai and local floods in Surat City preventionweb.net · 3 linked claims

Open original source ↗

Stable source ID
src-b2ed982f3c015212
Publisher
Name not classified · preventionweb.net
Type / language
web-page · language not classified
Published
Not recorded
Updated
Not recorded
Source last checked
No source-level check date
Record last verified
2026-08-20
Dossier created
2026-08-20
Retrieved copy
No local capture recorded
Archive
No archived copy linked
Content hash
No captured content hash
Locator
Open the recorded source note

The publication record for the system: implementation by the Surat Climate Change Trust under the municipal corporation, ten automatic weather stations and two water level measurement units, and the reservoir inflow and outflow prediction models. The page and its PDF both returned HTTP 403 to automated requests from this session, so the content is taken from the indexed record rather than a direct read.

Descriptive only — not page/paragraph exact
Claims linked
Surat Municipal Corporation flood monitoring dashboard office.suratmunicipal.org · 1 linked claim

Open original source ↗

Stable source ID
src-8b9de92d36321789
Publisher
Name not classified · office.suratmunicipal.org
Type / language
web-page · language not classified
Published
Not recorded
Updated
Not recorded
Source last checked
No source-level check date
Record last verified
2026-08-20
Dossier created
2026-08-20
Retrieved copy
No local capture recorded
Archive
No archived copy linked
Content hash
No captured content hash
Locator
Open the recorded source note

The live public surface: Ukai dam level against full reservoir level, inflow and outflow in cusecs, weir-cum-causeway readings and creek levels. A continuously updating dashboard, so no publication date applies.

Descriptive only — not page/paragraph exact
Claims linked
weADAPT placemark, Surat Climate Change Trust weadapt.org · 1 linked claim

Open original source ↗

Stable source ID
src-57410f94d3ad46ea
Publisher
Name not classified · weadapt.org
Type / language
web-page · language not classified
Published
2013-08-21
Updated
Not recorded
Source last checked
No source-level check date
Record last verified
2026-08-20
Dossier created
2026-08-20
Retrieved copy
No local capture recorded
Archive
No archived copy linked
Content hash
No captured content hash
Locator
Open the recorded source note

Establishes the trust's legal form and seat — a city-level public trust registered under the Bombay Public Trust Act 1950, with its office at the city engineer's office of Surat Municipal Corporation. Returned HTTP 403 to automated requests from this session.

Descriptive only — not page/paragraph exact
Claims linked
Known limits of this passport
  • Publisher names and source languages have not yet been classified; domains are recorded without guessing.
  • Existing source notes are descriptive locators, not page- or paragraph-exact citations.
  • A missing archive, publication date or content hash is shown as null rather than inferred.
  • The project-level evidence grade ranks the strongest source in the entry; it is not a truth score for every claim.

Continue exploring

Compare this project

🇮🇳 Integrated Dynamic Flood Early Warning Platform · Chennai Two Indian cities forecasting water they do not control — and both stop at a warning rather than an actuator. 🇯🇵 Tsunami-Alert Automatic Tide Gate Closure · Osaka The far end of the same ladder: Osaka's gates shut on the alert itself, Surat's forecast has to persuade a dam operator. 🇹🇭 Bangkok Flood Control Centre: Drainage Telemetry & Street-Level Forecasting · Bangkok Both instrument the catchment and hand the reading to people; neither lets the measurement act by itself.

Explore the wider context

📟 A Reading Is Not a Decision🌊 Flood resilience guide🏙️ Surat city profile🌱 Environment projects📖 District metering area (DMA)📖 Flood early-warning system📖 Non-revenue water (NRW)
📎 Cite this project

1001 Smart Cities (2026). “Ukai and Tapi Flood Early Warning System” — Surat, India. The Smart City Atlas. https://1001smartcities.org/projects/surat-flood-early-warning/ (last verified 2026-08-20). Data: CC BY 4.0.

The underlying data is free to reuse with attribution — see the open data page.

🚩 Report an error · 🔔 Follow changes to this entry (RSS)

✉️ Get the next source-checked smart-city project in your inbox

One short email a week: the Landmark, one Insight, the new cities. No spam, one-click unsubscribe. About the newsletter · RSS