Research & Planning

Strategic Project Charter

An Engineering-Grade Framework for Predictive Water Management

Lead Engineer: Anjani Duddukuru, P.Eng, PMP, PMI-RMPPhase 1 & 2 Active

Mission

Project Objectives

1. Predictive Modeling

Simulate nutrient flux (Phosphorus/Nitrogen) based on high-resolution rainfall events. Forecast Trophic State changes to provide early warnings for harmful algae blooms.

2. Decision Support

Provide a 'Virtual Jar Test' environment for chemical treatment validation before deployment. Optimize municipal and agricultural planning through lakeshore capacity assessment.

3. Automated Inspection

Perform continuous auto-checks on weather forecasts, volunteer field data, and satellite inputs. Automatically trigger human-in-the-loop inspections and AI-generated field briefs.

Workflow

Operational Workflow

Methodology: A continuous early-warning loop combining physical simulation, satellite remote sensing, and citizen science validation.

[ACTUAL] — Implemented production-grade baseline data or math.
[SIMULATED] — Mocked/generated for frontend verification.
[FUTURE WORK] — Slated for cloud/API migration roadmap.

📡 1. Baseline Ingestion

Lake Metadataactual
3D Bathymetrysimulated
Sentinel-2 Bandsfuture

🌤️ 2. Weather Scenarios

Stumm-Morgan Mathactual
Forecast Sliderssimulated
MSC Weather APIfuture

📍 3. Volunteer Ground-Truth

Secchi & Temp Inputsactual
Live DataStream APIfuture

🚨 4. Alert & Dispatch

Rule Checksactual
Gemini AI Briefsactual
Dispatch Cards UIactual

The system begins by establishing a high-resolution spatial and structural foundation for each water body:

  • Bathymetry Mesh: Building 3D volumetric models to track storage capacity and hypoxic zones.
  • Satellite Remote Sensing: Continuous ingestion of Sentinel-2 L2A multispectral bands:

NDWI / MNDWI

Water Index Mask

NDWI = (Green - NIR) / (Green + NIR)

Isolates water surface area boundaries to mask out land cover.

NDCI

Chlorophyll Proxy

NDCI = (RedEdge1 - Red) / (RedEdge1 + Red)

Highlights chlorophyll concentration to spot surface algae bloom activity.

NDTI

Turbidity Proxy

NDTI = (Red - Green) / (Red + Green)

Maps suspended mineral and organic sediment concentration spreads.

Documentation

Project Documentation

1. Project Vision

To develop a predictive "Living Digital Twin" of Ontario's inland lakes that treats the water body as a biological system (metabolism). The goal is to move from reactive monitoring to predictive intervention using real-time environmental transients and remote sensing.

2. Core Engineering Logic (Mass Balance)

The system operates on the principle of Accumulation = Input - Output ± Reaction.

  • Inputs: Rainfall intensity, agricultural phosphorus loading.
  • Outputs: Hydraulic flushing (residence time) and sediment burial.
  • Reaction: Chemical precipitation (Virtual Jar Test) based on the Calcium:Phosphorus ratio.
  • Triggers: Rules checking rain (>45mm), temperature gradient (>1.5°C), and satellite NDCI anomaly spikes.
Project Schematic: Lake Metabolism Model

Project Schematic: Lake Metabolism Model

Chemical Process: Calcium-Phosphorus Reaction

Chemical Process: Calcium-Phosphorus Reaction

3. Current Technical Stack

  • UI Framework: Next.js + React (Modern Web Front)
  • Computation: Streamlit (Limnological Simulation Engine)
  • Geospatial: WhiteboxTools (Catchment & Bathymetry)
  • Alerts & AI: Rule engines integrated with Gemini API briefings

4. Key Components

  • Virtual Jar Test: Simulator for chemical dosing (Lime/Calcium) predicting phosphorus removal.
  • 3D Bathymetry: Dynamic mesh to visualize hypoxia and thermocline stratification.
  • Sentinel Alert: Real-time trigger evaluation and dispatch briefs.

5. Roadmap & Milestones

  • ✔ Early warning thresholds
  • ✔ Gemini API automated briefs
  • Connect live MSC Weather API
  • Import LPP historical databases

Aligned with CCMEGuidance for Water Quality Monitoring & Ontario handbook.

Confidential Presentation - Preliminary Engineering Design