LaGuardia Terminal B (32% ownership divested) · Transition modelFACILITY

The facility's present-state profile is shaped primarily by its dependency on the US grid, currently carrying an observed intensity of 384.4 gCO2/kWh (Ember 2025), which drives its Scope 2 GHG impact as an airport terminal PPP asset. Water-related physical pressure is low: baseline water stress (BWS) is scored 0.22 (Low, <10%), overall water risk is 0.88 (Low, <25%), and drought score sits at 1.50. Untreated wastewater exposure (0.88) is the standout local pressure point worth monitoring even though it does not currently elevate the overall risk label. No flow-level (water/energy consumption) data is populated for this node, limiting quantification of absolute dependency volumes.

By 2030, the dominant shift is on the transition side: grid carbon intensity is projected to fall sharply to 220 gCO2/kWh under IEA WEO 2024 STEPS, roughly a 43% reduction from the 2025 observed value, meaningfully lowering the facility's Scope 2 footprint if electricity consumption holds flat. Water-related future scores (wd_future_score, ws_future_score) are not populated for 2030, so no forward view on water stress or depletion trajectory is available at this horizon — physical risk assessment remains anchored to current Low-risk labels. Coastal flood (0.43) and riverine flood (0.40) scores are moderate-low and warrant periodic re-checking given the site's proximity to LaGuardia's coastal/airport infrastructure, though no horizon-specific flood projections are supplied.

The 2050 grid trajectory continues its decarbonisation path to 80 gCO2/kWh (IEA STEPS), an ~80% reduction from 2025 levels, indicating a strong structural tailwind for Scope 2 emissions tied to this asset assuming continued grid decoupling from ownership share. No 2080 grid or water horizon data is provided, and water stress/depletion labels remain unpopulated beyond current-state, so long-term physical risk (coastal flood, drought, wastewater treatment adequacy) cannot be benchmarked against future scenarios in this dataset — this is a data gap rather than a signal of low residual risk given the site's coastal, high-traffic airport context.