From initial MC% assessment through borate treatment and vapor barrier replacement to post-remediation clearance — the full below-grade mold scope in one place.
Assessment
🔍MC% Assessment & Contamination Mapping
Calibrated moisture meter readings at joist and sheathing intervals across your Long Beach, NY crawl space — with visible growth mapped and photographed. Findings documented before any work is proposed. MC% readings inform both the contamination extent assessment and the post-remediation verification target.
Removal
🔨HEPA Removal & Wire-Brush Treatment
HEPA vacuum and wire brush on all contaminated surfaces. Spore material captured during removal — not disturbed into the crawl space airspace.
Treatment
🌳Penetrating Borate Application
EPA-registered penetrating borate solution applied to all accessible joist and sheathing surfaces after HEPA removal. Borate diffuses into wood fiber over time, providing ongoing inhibition of fungal colonization — including species that may not be visually apparent yet. Borate remains active in treated wood for years.
Structure
🔨Sistering Structurally Compromised Joists
Joists with advanced fungal digestion — evidenced by delamination of sheathing, spongy or punky texture, or through-penetration of decay fungi — lose structural capacity and need sistering with pressure-treated lumber rather than treatment. We assess each joist individually and document replacement recommendations in the written scope.
Barrier
💧Vapor Barrier Repair or Replacement
Reinforced poly, correctly lapped, footing-secured. Proper vapor barrier installation is the #1 long-term prevention tool for crawl space mold in Long Beach, NY properties.
Systems
🏔Encapsulation vs. Vented Conditioning Assessment
Full crawl space encapsulation (sealed vapor barrier, insulated perimeter walls, conditioned air supply) is the right answer for some Long Beach, NY crawl spaces — particularly those with high water table, poor drainage, or chronic moisture loads that vented conditioning can't manage. We assess your specific conditions and recommend objectively, not by default toward the more expensive option.
