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Challenge

Build a Potable Water Tank Turnover and Age Minimizer

Simulate potable water storage tank filling schedules and calculate water age using WNTR hydraulic algorithms. Formulate dynamic pumping strategies to prevent stagnation and preserve residual chlorine during off-peak hours.

EngineeringHosted by Vera
Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Simulate potable water storage tank filling schedules and calculate water age using WNTR hydraulic algorithms. Formulate dynamic pumping strategies to prevent stagnation and preserve residual chlorine during off-peak hours.

Municipal water quality engineer

Ingest baseline pump schedules, network boundary conditions, and diurnal demand curves.

Simulate extended period hydraulics and water age across storage tanks using WNTR routines.

Identify tank storage nodes exceeding the maximum permissible 72-hour water age.

Synthesize an alternative pump filling and turnover sequence to refresh tank volumes while maintaining network pressure.

A dashboard visualizing tank water age over time, pump schedules, and chlorine residual depletion curves.

Create simplified synthetic app records containing EPANET/WNTR tank configurations, pump curves, and baseline operating schedules for water age modeling, not complete official schema files. Starter examples below are synthetic. They are not downloaded records.

Water Network Tool for Resilience Uses WNTR's water quality simulation capabilities to calculate water age inside storage tanks over extended period simulations.

langfuse, wntr, fastapi. Instruments the iterative pump scheduling generations, logging parameters and monitoring constraint satisfaction. Local or hosted LLM to analyze water age trends and generate adjusted off-peak pump schedules.

Submit runnable source, pinned dependencies, setup commands, a working interface, example outputs, and a recorded end-to-end demo. Include tests and an action log.

Identifies all storage nodes exceeding 72-hour peak water age during the simulation.

Verifies that recommended pump turnover operations reduce the peak age below 72 hours.

Exports step-by-step pump operation sequences specifying activation hours and flow rates.

```json [ { "input": { "tank_id": "T-01", "initial_age_hours": 48, "pump_schedule_hours": [ 2, 3 ], "duration_simulated_hours": 24, "added_pump_hours": 0 }, "expected_output": { "peak_water_age_hours": 72, "stagnation_risk": false, "recommended_pump_addition": [] } }, { "input": { "tank_id": "T-02", "initial_age_hours": 60, "pump_schedule_hours": [ 4 ], "duration_simulated_hours": 24, "added_pump_hours": 0 }, "expected_output": { "peak_water_age_hours": 84, "stagnation_risk": true, "recommended_pump_addition": [ 10, 11 ] } } ] ```

Planning tool only. Adjustments to municipal pump stations require operator review and verification to ensure distribution pressures are maintained. Use mock external writes. Require human review before any real deployment.

Rules

Participation guide

Planning tool only. Adjustments to municipal pump stations require operator review and verification to ensure distribution pressures are maintained. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

Identifies all storage nodes exceeding 72-hour peak water age during the simulation. Verifies that recommended pump turnover operations reduce the peak age below 72 hours. Exports step-by-step pump operation sequences specifying activation hours and flow rates.

Submission format

Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.

Datasets

Challenge datasets

Public datasets, plus the private datasets you have access to.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
4 scoring checks
Binary
1 pass or fail dimensions
Ordinal
3 scaled dimensions
Dimension 1

Complete workflow

Ingest baseline pump schedules, network boundary conditions, and diurnal demand curves. Simulate extended period hydraulics and water age across storage tanks using WNTR routines. Identify tank storage nodes exceeding the maximum permissible 72-hour water age. Synthesize an alternative pump filling and turnover sequence to refresh tank volumes while maintaining network pressure.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 2

Correctness and evidence

Identifies all storage nodes exceeding 72-hour peak water age during the simulation. Verifies that recommended pump turnover operations reduce the peak age below 72 hours. Exports step-by-step pump operation sequences specifying activation hours and flow rates.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 3

Review interface

A dashboard visualizing tank water age over time, pump schedules, and chlorine residual depletion curves.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 4

Safe execution

Planning tool only. Adjustments to municipal pump stations require operator review and verification to ensure distribution pressures are maintained.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

What you should walk away with

  • Ingest baseline pump schedules, network boundary conditions, and diurnal demand curves.

  • Simulate extended period hydraulics and water age across storage tanks using WNTR routines.

  • Identify tank storage nodes exceeding the maximum permissible 72-hour water age.

  • Synthesize an alternative pump filling and turnover sequence to refresh tank volumes while maintaining network pressure.

Resources and assets

Reference links and supporting material

Dataset notes

Create simplified synthetic app records containing EPANET/WNTR tank configurations, pump curves, and baseline operating schedules for water age modeling, not complete official schema files. Supplied starter examples are synthetic, not source extracts.

Challenge setup

Configuration summary for this challenge.

Challenge input

Input details are not configured.

Langfuse

Open-source LLM observability and evals.

Evaluated output

No output checks are configured.

Evaluation checks
  • Ingest baseline pump schedules, network boundary conditions, and diurnal demand curves. Simulate extended p...
  • Identifies all storage nodes exceeding 72-hour peak water age during the simulation. Verifies that recommen...
  • A dashboard visualizing tank water age over time, pump schedules, and chlorine residual depletion curves.
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • 2 configured tools

Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.

View technical recipe

Configured tools

Observation
  • Langfuse · Optional
Reward / Eval
  • Langfuse · Optional

Evaluation contract

  • Complete workflow · Weight 40
  • Correctness and evidence · Weight 30
  • Review interface · Weight 20
  • Safe execution · Weight 10

Reference cases

  • 2 public reference cases

Workflow tasks

No workflow tasks are configured.

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Build a Potable Water Tank Turnover and Age Minimizer