Basin-level intelligence on AI infrastructure's collision with water systems, energy grids, and carbon budgets. Research for investors, utilities, and policymakers who need the numbers before the crisis makes the headlines.
Basin-level water balance analysis. Cooling technology assessments. Agricultural competition mapping. Drought scenario modeling. Regulatory concession tracking.
Grid capacity analysis for data center demand. Renewable vs. fossil power mix. Hidden water multiplier from electricity generation. Grid bottleneck risk.
Facility-level emissions modeling. Scope 2 and 3 analysis for AI infrastructure. Carbon credit and offset integrity. Regulatory disclosure tracking.
Physical characteristics, current water balance, available renewable water, recharge type, quality issues, and historical flow trends.
Existing facilities, pipeline projects, cooling technology, licensed water volumes, power sources, and cumulative demand projections.
Water allocation rules, priority systems, drought protocols, DC-specific regulations, and reporting requirements.
Precipitation and temperature trends, drought frequency projections, evapotranspiration feedback loops, and compound risk modeling.
Agricultural, municipal, industrial, and ecological water users. Political influence mapping and institutional allocation structures.
Full buildout, constrained buildout, and technology shift scenarios modeled to 2028 with probability-weighted risk assessment.
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