Environmental Impact Assessments (EIAs) are a mandatory step before any solar farm project can proceed in Zimbabwe, and air quality is one of the baseline parameters regulators and developers cannot afford to overlook. Even though solar farms are a clean energy technology, the construction phase — earthworks, vehicle movement, panel and structure installation — generates dust and particulate emissions that must be measured, modelled, and managed from the outset.

Zimgeo integrates air quality modelling into its EIA baseline survey work for solar farm projects, giving developers a defensible, data-backed picture of ambient conditions before ground is broken.

Why air quality matters in a solar farm EIA

A baseline air quality survey establishes the pre-construction conditions of a site — the reference point against which any future impact is measured. For solar farm developments, this baseline typically informs:

• Dust management plans for the construction phase
• Assessment of impacts on nearby communities, agricultural land, and sensitive ecosystems
• Compliance reporting to the Environmental Management Agency (EMA)
• Long-term environmental monitoring commitments tied to the project’s Environmental Impact Certificate

Without accurate baseline data, developers risk either underestimating real impacts or over-engineering mitigation measures that add unnecessary cost.

How we model air quality

Zimgeo’s approach to air quality modelling combines field-collected sensor data with statistical and spatial analysis to characterise pollutant behaviour across a project site and its surrounding area. This typically involves:

• Multi-pollutant monitoring — tracking parameters such as particulate matter (PM2.5 and PM10), and where relevant, gaseous pollutants, over a sustained monitoring period rather than a single snapshot.
• Statistical analysis — applying methods such as ANOVA and multiple linear regression (MLR) to understand variation across time, location, and environmental conditions such as wind speed and humidity.
• Spatial interpolation and dispersion modelling — mapping how pollutant concentrations are likely to spread from a site, informed by prevailing wind patterns and terrain.
• Diurnal and seasonal pattern analysis — using 24-hour averaging and multi-week monitoring windows to capture how air quality shifts with time of day and season, which is critical for setting realistic baseline thresholds.

This modelling approach allows us to move beyond a single compliance number and instead build a fuller picture of how air quality behaves at a given site — insight that strengthens the credibility of the EIA and supports better-informed mitigation planning.

How we collect the data: the Oizom Polludrone

The quality of any air quality model depends entirely on the quality of the data feeding it. For field data collection, Zimgeo deploys the Oizom Polludrone — a compact, continuous ambient air quality monitoring device — for which Zimgeo is an authorised reseller in Zimbabwe.

The Polludrone is deployed directly on or near the project site and is used to:

• Continuously log multi-pollutant concentrations in real time, rather than relying on periodic manual sampling
• Capture data across extended monitoring periods (commonly several weeks) to account for daily and weather-driven variability
• Provide georeferenced, time-stamped data that integrates directly into our statistical and spatial modelling workflow
• Support transparent, auditable baseline reporting that stands up to regulatory and stakeholder scrutiny

Because Zimgeo is both the local reseller and the technical team applying the analysis, we’re able to deploy, calibrate, and interpret this equipment as part of a single, integrated service — rather than treating equipment supply and environmental analysis as separate, disconnected steps.

Why this matters for solar farm developers

Solar farm projects are judged not only on their energy output but on the rigour of the environmental process behind them. A well-modelled air quality baseline, backed by continuous field data, gives developers, financiers, and regulators confidence that construction and operational impacts have been properly anticipated and accounted for — reducing the risk of delays, disputes, or non-compliance further down the line.

Get in touch

Zimgeo can integrate air quality monitoring and modelling into your solar farm EIA baseline survey, using Oizom Polludrone deployment and applied statistical analysis tailored to your site.

For more information, contact us at info@zimgeo.co.zw