CivilAche

Air quality monitoring and atmospheric dispersion modeling are foundational to urban environmental management and industrial emission compliance. Ambient air monitoring measures primary and secondary pollutants—including fine particulate matter ($\text{PM}_{2.5}$, $\text{PM}_{10}$), nitrogen oxides ($\text{NO}_x$), sulfur dioxide ($\text{SO}_2$), and ground-level ozone ($\text{O}_3$)—to quantify public health exposure risks and track atmospheric reaction pathways. To convert continuous sensor electrical responses into calibrated mass concentration metrics ($C_{\text{cal}}$), multi-variate environmental cross-sensitivities (such as temperature $T$ and relative humidity $RH$) are corrected using nonlinear calibration models: $$C_{\text{cal}} = \alpha \cdot (V_{\text{raw}} - V_0) \cdot \exp\left( \beta \cdot RH + \gamma \cdot T \right)$$ Where $V_{\text{raw}}$ is raw sensor output voltage, $V_0$ is baseline zero-drift voltage, and $\alpha$, $\beta$, and $\gamma$ represent empirical...