Applied Analysis & Modeling Services
Consulting Service

Our Environmental Services Applied Analysis & Modeling Services

Applied Analysis & Modeling Services

Turning environmental data into insight and prediction.

AVARI provides applied analysis and modeling services to understand environmental processes, evaluate potential impacts, and predict changes under different scenarios. By integrating field measurements, environmental data, spatial information, and quantitative models, we transform complex data into reliable insights that support impact assessment, environmental management, risk evaluation, and informed decision-making.

Our Services

  • Air Quality & Atmospheric Modeling — emission analysis, air quality assessment, meteorological data processing, atmospheric dispersion modeling, and prediction of pollutant concentrations and distribution.
  • Water & Hydrodynamic Modeling — analysis and modeling of surface water, coastal and marine systems, including water quality, pollutant transport, mixing, dispersion, currents, and other relevant processes.
  • Hydrology & Hydrogeological Modeling — rainfall-runoff analysis, watershed and drainage modeling, water balance, groundwater analysis, and assessment of hydrological and hydrogeological changes.
  • Noise & Vibration Modeling — analysis and prediction of noise and vibration propagation associated with industrial facilities, infrastructure, transportation, and other activities.
  • Spatial & GIS Analysis — geospatial analysis, environmental mapping, spatial overlays, sensitivity and suitability analysis, spatial prioritization, and GIS-based decision support.
  • Risk & Scenario Modeling — quantitative and spatial analysis of environmental risks, impact pathways, alternative scenarios, and potential environmental consequences to support planning and risk management.
  • Carrying & Assimilative Capacity Analysis — quantitative evaluation of environmental carrying capacity and assimilative capacity to support resource management, development planning, and environmental decision-making.
  • Integrated Environmental Modeling — integration of multiple datasets, environmental processes, and modeling approaches to understand complex systems and evaluate cumulative, spatial, or scenario-based environmental changes.