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Explora: Environment
            and Resource                                                            Air pollution mitigation technologies



            law violations, which can moderately reduce air pollution.    data to the cloud. If emissions exceed permissible limits,
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            Studies show that heavy-duty diesel vehicles are responsible   both the local police and the vehicle owner are notified.
            for 40–60% of NO  emissions and 70–90% of CO  emissions   The system can also verify inspection compliance, such as
                          x
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                           9
            from black smoke.  One-way traffic flow has been found   insurance expiry dates and smoke test results. 9
            to be more effective in reducing emissions.  Reducing   High traffic volumes in street canyons can significantly
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            the number of heavy diesel vehicles and improving road   elevate pollution concentrations. Green infrastructure can
            pavement quality can further limit air pollution. 9  help improve air quality in areas where planting space is
              The adoption of electric vehicles and advancements   limited. Options include green walls, green screens, and
            in  engine  technology  can  mitigate  transport-related   green roofs. The effectiveness of green infrastructure
            emissions.  Between these two  options, electric vehicles   interventions depends on the design of the street canyon.
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                    9
            are  considered  the  most  effective;   VOC  emissions  are   Roadside vegetation can reduce PM concentrations by
                                        9
            reduced by 98% and NO  emissions by 34% compared   up to 60% and NO  levels by up to 40%.  Where planting
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                                 x
            to conventional vehicles.  Strict regulatory enforcement   space is available, trees are an excellent long-term solution;
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            remains critical to further reduce transportation-related   in more constrained areas, smaller potted plants and
            pollution. 9                                       rooftop gardens can also contribute to localized air quality
                                                               improvements.
              Urban planning also plays a significant role in air
            quality management. Effective city layouts should facilitate   3.11. Energy intensity improvements and
            natural ventilation into open spaces. Building height is   electrification
            an important factor in dispersing pollutants.  Weather   Improving energy intensity can reduce SO  emissions by
                                                  9
            conditions, such as wind speed, sunlight, temperature,   26–44%, NO  emissions by 19–44%, PM emissions by
                                                                                                  2
            and humidity, should be considered in planning. Urban   25–46%, and CO  emissions by 18–50%. Electrification
                                                                          x
            greenery, such as roadside tree planting, promotes   can lower SO  emissions by 19–25%, NO  emissions by
                                                                             2
            pollutant deposition and can facilitate beneficial chemical   2                      x
            reactions that further reduce air pollution. 9     4–28%, PM emissions by 20–29%, and CO  emissions by
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                                                               11–12%. 14
            3.9. XGBoost and grid ranking for pollution source   Among industrial sub-sectors, the non-ferrous
            identification                                     industry demonstrates the largest spectrum of co-benefits,
            Research on XGBoost and grid ranking methods has not   with reduction rates ranging from 20.9% to 55.8% for
            adequately captured air quality dynamics across entire   SO  emissions, 17.5% to 44.6% for NO  emissions, 24.5%
                                                                 2
                                                                                              x
            regions, despite broad geographic coverage. The General   to 47.8% for PM emissions, and 24.0% to 58.3% for CO
                                                                                                             2
            Information Report approach is comparable to the Google   emissions 15. The  paper  sector achieves  substantial
            PageRank algorithm, which ranks web pages based on   reductions in NO  (7.9–38.1%) and CO 9.6–41.3%), but
                                                                             x
                                                                                               2 (
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            their impact.  XGBoost, a non-linear machine learning   lower reductions in SO  and PM emissions.  According
                      10
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            algorithm,  incorporates variable relevance  mechanisms   to Qian et al.,  the average direct co-benefits are highest
            to enhance predictive performance. 10,11  This approach can   in the non-ferrous industry and lowest in the non-power
            identify the pollution sources that have the greatest influence   sector. In  the non-ferrous industry, average  reduction
            on other areas, enabling targeted interventions to mitigate air   rates are 43.7% for SO , 44.2% for NO , 46.4% for PM, and
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                                                                                             x
                                                                           12
            pollution.  For example, studies have shown that XGBoost   49.6% for CO .  In contrast, the non-power sector achieves
                   10
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            can be applied in various fields, including environmental   reductions of 25.5% for SO , 24.1% for NO , 32.5% for PM,
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                                                                                                 x
            monitoring, and can guide governments to prioritize   and 18.5% for CO , which remain significant.
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            air pollution prevention in high-impact regions, such as   Coal power plants, due to their higher energy intensity,
            southern Oregon, which has been identified as significantly   provide  smaller  co-benefits  to  the  non-power  sector,
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            affecting air quality in northern parts of the US. 10  with reductions of 6.1% for SO , 3.6% for NO , 6.0% for
                                                                                                     x
                                                                                         2
                                                               PM, and 2.5% for CO . NO  reduction rates vary the most
            3.10. Cloud computing-based air pollution          across industries.  Petroleum and non-metallic sectors
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                                                                                     x
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            monitoring systems                                 achieve the highest NO  reductions —19.3% and 27.6%,
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                                                                                  x
            Cloud-based air pollution monitoring systems store air   respectively—when 30% of fossil fuels are replaced with
            pollution data in a centralized database. In this approach,    electricity.  In other industries, NO  reductions are below
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                                                                       12
                                                                                            x
            sensor modules are installed at toll collection centers and   12% under the same conditions.  CO  reduction rates are
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            traffic light intersections. When a vehicle passes these   relatively similar across sectors when electricity substitutes
            points, the system measures its emissions and uploads the   12–30% of fossil fuel use. 12
            Volume 2 Issue 3 (2025)                         6                           doi: 10.36922/EER025210041
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