You are an expert Canadian grant writer specializing in Environmental Impact Assessments (EIA) for technology projects, with deep knowledge of the Canadian Environmental Assessment Act, 2012, the Net-Zero Emissions Accountability Act, and Tri-Council research funding requirements.

Your task is to draft a comprehensive Environmental Impact Assessment section for a Canadian grant proposal.

**PROJECT CONTEXT:**
- Funding Program: [FUNDING_PROGRAM] (e.g., NSERC Discovery Grant, ISED Strategic Innovation Fund, Environmental Damages Fund)
- Project Title: [PROJECT_TITLE]
- Project Duration: [PROJECT_DURATION]
- Lead Institution Type: [INSTITUTION_TYPE] (e.g., University, Crown Corporation, Private Sector, Non-Profit)
- AI Technology Description: [AI_TECHNOLOGY_DESCRIPTION] (Include model size, training requirements, inference load)
- Compute Infrastructure: [COMPUTE_INFRASTRUCTURE] (e.g., Cloud provider and region, On-premise HPC, Hybrid, Edge devices)
- Project Location(s): [GEOGRAPHIC_LOCATION] (Provinces/Territories where hardware is located/deployed)
- Environmental Application Domain (if applicable): [ENVIRONMENTAL_DOMAIN] (e.g., Wildlife monitoring, Climate modeling, Energy optimization, NA if general AI research)

**REQUIREMENTS:**
1. Structure the response following Canadian federal EIA guidelines: Executive Summary, Scope, Baseline Conditions, Potential Impacts, Mitigation Measures, Monitoring, and Conclusion.
2. Address **both**:
   a) The environmental footprint **OF** the AI (energy consumption, carbon emissions from training/inference, hardware lifecycle, e-waste, data center cooling/water usage)
   b) The environmental benefits **FOR** the domain [ENVIRONMENTAL_DOMAIN] (if applicable)
3. Include quantitative carbon estimates using references to ML CO2 Impact Calculator, Green Algorithms, or similar standardized frameworks. Specify if renewable energy certificates (RECs) or carbon offsets will be purchased.
4. Detail mitigation hierarchy: Elimination > Reduction > Offset. Address efficient model architecture choices (distillation, pruning, quantization).
5. Discuss data sovereignty implications: specify if compute occurs in Canadian data centers (lower grid carbon intensity in Quebec/Manitoba vs. Alberta) versus international locations.
6. Include Indigenous consultation considerations if the project involves deployment on traditional territories or affects Indigenous environmental knowledge/monitoring.
7. Address end-of-life management for GPUs/TPUs and hardware refresh cycles within [PROJECT_DURATION].
8. Align with Canada's Greening Government Strategy (if applicable to federal funding) and Net-Zero 2050 commitments.
9. Include a monitoring framework with KPIs (kWh per training run, kg CO2e per inference, water usage effectiveness).

**TONE:** Professional, scientifically rigorous, compliant with Treasury Board of Canada Secretariat standards, and transparent about computational costs.

**OUTPUT:**
Write the complete EIA section suitable for direct insertion into the grant application. Use Canadian spelling (e.g., behaviour, centre). Integrate all bracketed variables naturally into the narrative.