Vehicular emissions play a significant role in urban-environmental pollution. Therefore, in the present investigation, efforts are made to estimate the applicability of Titanium dioxide (TiO₂)-laden asphalt pavements in degrading the ambient Nitrogen Dioxide (NO₂) in Chandigarh, India. In this regard, an artificial environment is created, and experiments are designed to degrade NO₂ and Sulfur dioxide (SO₂) using photocatalysis. Further, the process parameters, viz., concentration of TiO₂ emulsion (25 to 125 mL m⁻²), Ultraviolet UV-A irradiance (1 to 5 mW cm⁻²), and proportion of bitumen (4 to 6%), are optimized to achieve the maximum degradation of NO₂ and SO₂. Results reveal that maximum degradation of NO₂ and SO₂, that is, 61.91 and 55.39%, respectively, is achieved at 81.67 mL m⁻² of TiO₂ emulsion, 5 mW cm⁻² of UV-A irradiance, and 5.78% of bitumen. The optimized conditions of photocatalytic application are further used to treat the ambient NO₂ of Chandigarh, India. Analysis of the ambient air data of Chandigarh, India, from 2005 to 2015, depicts significant contribution of vehicular emissions. It is also predicted that by 2031 the ambient concentration of NO₂, may exceed the permissible limits. However, layering of asphalt payments with TiO₂ could prevent such situation by 2114.

中文翻译：

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负载二氧化钛的沥青路面在减少印度昌迪加尔车辆污染方面的适用性

车辆排放在城市环境污染中起着重要作用。因此，在目前的调查中，努力评估在印度昌迪加尔的二氧化钛 (TiO ₂ ) 负载沥青路面在降解环境二氧化氮 (NO _{2 ) 方面的适用性。}在这方面，创建了人工环境，并设计了使用光催化降解 NO ₂和二氧化硫 (SO ₂ ) 的实验。此外，工艺参数，即TiO ₂乳液的浓度（25至125 mL m ^-2）、紫外线UV-A辐照度（1至5 mW cm ^-2）和沥青的比例（4至6%），经过优化，以实现 NO 的最大降解₂和 SO ₂。结果表明，在 81.67 mL m -2 _TiO 2_{乳液、 5} mW cm ^{-2的 UV -} A 辐照度和 5.78%沥青。光催化应用的优化条件进一步用于处理印度昌迪加尔的环境 NO ₂。对 2005 年至 2015 年印度昌迪加尔环境空气数据的分析显示了车辆排放的显着贡献。还预测到 2031 年，环境中的 NO ₂浓度可能会超过允许的限值。然而，用 TiO _{2分层沥青支付}到 2114 年可以防止这种情况发生。