Modeling Studies


Air Modelling

Air quality models mathematically and numerically simulate the physical and chemical processes, based on inputs of meteorological data and source information like emission rates and stack height that affect air pollutants as they disperse. Air quality models are used during the environmental clearance process to verify that a new source will not exceed ambient air quality standards and determine appropriate control requirements.

 

Risk Assessment Modelling

Comprehensive multi-pathway human health risk assessment calculates risk values for multiple chemicals, from multiple sources, at multiple exposure locations simultaneously. We follow the Human Health Risk Assessment Protocol established by EPA. The results of the modelling estimate the nature and probability of adverse health effects in humans who may be exposed to chemicals in contaminated environmental media, now or in the future.

Noise Dispersion Modelling

The location and acoustic sound power levels of potentially critical noise sources and its propagation can be assessment using mathematical models, which enable digitising a ground map (containing ground contours). We generate noise emission levels taking into account factors such as source sound power levels and locations, distance attenuation , ground absorption, air absorption, and shielding attenuation andmeteorological conditions

 

 

Ground Water Modelling

This with the 3D analysis is critical to the understanding of hydrogeologic and contaminant systems. Hydrogeologic and chemical distributions are multi-dimensional in nature, understanding and communicating your results is greatly enhanced by utilizing advanced groundwater modeling techniques with three-dimensional graphics. This allows us to select and apply the most cost-effective modeling techniques for the problem to be addressed.

 

 

Tidal Flow Modelling

Modelling of tidal hydraulics, wind and wave generated currents, storm surges and flood waves simulates the water level variation and flow in response to a variety of forcing functions in lakes, estuaries, bays and coastal areas. The water levels and flows are resolved on either a rectilinear grid or a curvilinear grid or a triangular element mesh or any combination hereof covering the area of interest.

 

 

 

CMB Modelling

Since, Air Quality is affected by a variety of complex sources, detailed scientific studies are required for identification of major sources, assessing their contributions to air pollution. Accordingly this demonstrates a more rational & proactive approach to air quality management. The study focuses on characterization and apportionment of PM10 to have a better understanding and correlation between source and receptors.

 

 

Landgem Modelling

Land Fill Gas Emission Modelling is used to estimate emission rates for total landfill gas, methane, carbon dioxide, nonmethane organic compounds, and individual air pollutants from municipal solid waste landfills. These emissions estimates establish the requirements for gas collection and control system installation and operation. The final step is to calculate LFG recovery based on model’s projections of LFG generation and the collection efficiency.

 

Surface Water Modelling

The Surface water modelling simulates the development in the river beds and channel plans form caused by changes in the hydraulic regime that includes bank erosion, scouring and shoaling. It assists in analysis of alignments and dimensions of navigation channels for minimising maintenance dredging, prediction sedimentation of water intakes, outlets, locks, harbours and reservoirs and forecast the impact of bridge, tunnel and pipeline crossings on river channel hydraulics.

 

 

Vehicular Emission Modelling

This modelling is used for predicting air pollution concentrations of carbon monoxide (CO), nitrogen dioxide (NO2), particulate matter (PM), and other inert gases from idle or moving motor vehicles near highways. This model also estimates the length of queues formed by idling vehicles at signalized intersections. Results can be produced for specific cartesian receptor grid, discrete receptors, and receptors along the roadways.

 

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