Technical Modelling
GSustain delivers technical environmental modelling services for projects across Qatar and the GCC. Our modelling capabilities support environmental impact assessments, regulatory permitting, operational compliance, and engineering design — providing the quantitative evidence that regulators, operators, and stakeholders require for confident decision-making.
Capabilities
Quantitative environmental modelling across air, noise, marine, and contaminant transport disciplines.
AERMOD, CALPUFF, ISC3 for industrial emissions, stack analysis, ambient air quality impact assessment, and regulatory compliance.
Predictive noise modelling for industrial, infrastructure, and construction projects using ISO 9613, CRTN, and CoRTN methodologies.
Thermal plume, brine discharge, and pollutant dispersion modelling for coastal and offshore developments.
Quantitative odour impact assessment for wastewater, waste management, and industrial facilities.
Contaminant migration modelling for soil and groundwater assessments.
Use Cases
Environmental modelling supports decision-making across the full project lifecycle.
Quantitative impact predictions for air quality, noise, and marine environment chapters.
Demonstrating compliance with ambient air quality standards, noise limits, and discharge standards.
Stack height determination, buffer zone assessment, and mitigation optimization.
Dispersion modelling for operational emissions monitoring and reporting.
Modelling combined effects of multiple sources or projects in industrial zones.
Regulatory Alignment
Our modelling work meets the requirements of national and international environmental standards.
Our Advantage
Modelling is integrated with our EIA and environmental advisory services, not outsourced.
We understand what Qatar regulators expect from modelling submissions.
AERMOD, CALPUFF, and noise modelling delivered by qualified environmental scientists.
Modelling studies typically completed within 3-6 weeks depending on complexity.
Common Questions
Need air dispersion, noise, or marine modelling for your project? Contact us with your scope and we'll provide a technical proposal.
Request a Modelling QuoteEnvironmental modelling uses mathematical simulations to predict pollutant dispersion in air, water, and soil. In Qatar, it is required as part of Environmental Impact Assessments (EIAs) for industrial projects, infrastructure developments, and any activity requiring MoECC or Qatar Energy permitting. Projects in Ras Laffan and Mesaieed industrial cities typically mandate quantitative modelling studies.
The primary software used for air quality modelling in Qatar and the Gulf is AERMOD, the US EPA preferred regulatory dispersion model. CALPUFF is used for complex terrain and long-range transport scenarios. Additional tools include ISC3 for legacy compliance, ADMS for urban environments, and Lakes Environmental software for meteorological data processing and receptor grid generation.
Qatar ambient air quality standards are set by MoECC and align with WHO guidelines and IFC EHS standards. Key pollutants regulated include PM10, PM2.5, SO2, NO2, CO, O3, and H2S. Standards specify both short-term (1-hour, 24-hour) and annual averaging periods. Qatar Energy applies additional stringent limits within industrial cities.
A noise impact assessment is required when a proposed project may generate noise levels that affect sensitive receptors such as residences, schools, hospitals, or mosques. In Qatar this includes industrial facilities, infrastructure projects, construction activities near populated areas, and any development requiring an EIA. Assessments use predictive modelling based on ISO 9613 methodology.
Marine dispersion modelling simulates the behaviour of brine discharge, thermal plumes, and chemical residuals released from desalination plants into coastal waters. The modelling predicts salinity, temperature, and pollutant concentrations at various distances from the outfall, ensuring compliance with marine discharge standards and assessing potential impacts on marine ecology and coral habitats.