PDF(Pubmed)
Abstract：
IoT-based Sensors networks play a pivotal role in improving air quality monitoring in the Middle East. They provide real-time data, enabling precise tracking of pollution trends, informed decision-making, and increased public awareness. Air quality and dust pollution in the Middle East region may leads to various health issues, particularly among vulnerable populations. IoT-based Sensors networks help mitigate health risks by offering timely and accurate air quality data. Air pollution affects not only human health but also the region\'s ecosystems and contributes to climate change. The economic implications of deteriorated air quality include healthcare costs and decreased productivity, underscore the need for effective monitoring and mitigation. IoT-based data can guide policymakers to align with Sustainable Development Goals (SDGs) related to health, clean water, and climate action. The conventional monitor based standard air quality instruments provide limited spatial coverage so there is strong need to continue research integrated with low-cost sensor technologies to make air quality monitoring more accessible, even in resource-constrained regions. IoT-based Sensors networks monitoring helps in understanding these environmental impacts. Among these IoT-based Sensors networks, sensors are of vital importance. With the evolution of sensors technologies, different types of sensors materials are available. Among this carbon based sensors are widely used for air quality monitoring. Carbon nanomaterial-based sensors (CNS) and carbon nanotubes (CNTs) as adsorbents exhibit unique capabilities in the measurement of air pollutants. These sensors are used to detect gaseous pollutants that includes oxides of nitrogen and Sulphur, and ozone, and volatile organic compounds (VOCs). This study provides comprehensive review of integration of carbon nanomaterials based sensors in IoT based network for better air quality monitoring and exploring the potential of machine learning and artificial intelligence for advanced data analysis, pollution source identification, integration of satellite and ground-based networks and future forecasting to design effective mitigation strategies. By prioritizing these recommendations, the Middle East and other regions, can further leverage IoT-based systems to improve air quality monitoring, safeguard public health, protect the environment, and contribute to sustainable development in the region.
摘要：
基于物联网的传感器网络在改善中东空气质量监测方面发挥着关键作用。他们提供实时数据，能够精确跟踪污染趋势，明智的决策，提高公众意识。中东地区的空气质量和粉尘污染可能导致各种健康问题,特别是在弱势群体中。基于物联网的传感器网络通过提供及时准确的空气质量数据来帮助减轻健康风险。空气污染不仅影响人类健康，而且影响该地区的生态系统，并导致气候变化。空气质量恶化的经济影响包括医疗保健成本和生产力下降，强调需要进行有效的监测和缓解。基于物联网的数据可以指导政策制定者与健康相关的可持续发展目标(SDG)保持一致。干净的水,气候行动。基于常规监测的标准空气质量仪器提供有限的空间覆盖范围，因此迫切需要继续研究与低成本传感器技术相结合，以使空气质量监测更容易获得。即使在资源有限的地区。基于物联网的传感器网络监控有助于了解这些环境影响。在这些基于物联网的传感器网络中，传感器至关重要。随着传感器技术的发展，不同类型的传感器材料是可用的。在这些碳基传感器中,广泛用于空气质量监测。基于碳纳米材料的传感器（CNS）和碳纳米管（CNT）作为吸附剂在测量空气污染物方面表现出独特的能力。这些传感器用于检测气态污染物，包括氮氧化物和硫，臭氧,和挥发性有机化合物(VOCs)。本研究全面综述了基于碳纳米材料的传感器在基于物联网的网络中的集成，以更好地监测空气质量，并探索机器学习和人工智能在高级数据分析中的潜力。污染源识别，整合卫星和地面网络以及未来预测，以设计有效的缓解策略。通过优先考虑这些建议，中东和其他地区，可以进一步利用基于物联网的系统来改善空气质量监测，保障公众健康,保护环境,并为该地区的可持续发展做出贡献。
