8
views
0
recommends
+1 Recommend
2 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Carbon based sensors for air quality monitoring networks; middle east perspective

      review-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          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.

          Related collections

          Most cited references92

          • Record: found
          • Abstract: found
          • Article: not found

          The contribution of outdoor air pollution sources to premature mortality on a global scale.

          Assessment of the global burden of disease is based on epidemiological cohort studies that connect premature mortality to a wide range of causes, including the long-term health impacts of ozone and fine particulate matter with a diameter smaller than 2.5 micrometres (PM2.5). It has proved difficult to quantify premature mortality related to air pollution, notably in regions where air quality is not monitored, and also because the toxicity of particles from various sources may vary. Here we use a global atmospheric chemistry model to investigate the link between premature mortality and seven emission source categories in urban and rural environments. In accord with the global burden of disease for 2010 (ref. 5), we calculate that outdoor air pollution, mostly by PM2.5, leads to 3.3 (95 per cent confidence interval 1.61-4.81) million premature deaths per year worldwide, predominantly in Asia. We primarily assume that all particles are equally toxic, but also include a sensitivity study that accounts for differential toxicity. We find that emissions from residential energy use such as heating and cooking, prevalent in India and China, have the largest impact on premature mortality globally, being even more dominant if carbonaceous particles are assumed to be most toxic. Whereas in much of the USA and in a few other countries emissions from traffic and power generation are important, in eastern USA, Europe, Russia and East Asia agricultural emissions make the largest relative contribution to PM2.5, with the estimate of overall health impact depending on assumptions regarding particle toxicity. Model projections based on a business-as-usual emission scenario indicate that the contribution of outdoor air pollution to premature mortality could double by 2050.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Internet of Things for Smart Cities

                Bookmark

                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/1896466/overviewRole: Role: Role: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2666601/overviewRole: Role: Role:
                Role: Role: Role:
                Role: Role: Role: Role:
                Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/1167884/overviewRole: Role: Role: Role:
                Role: Role: Role:
                Role: Role: Role: Role:
                Journal
                Front Chem
                Front Chem
                Front. Chem.
                Frontiers in Chemistry
                Frontiers Media S.A.
                2296-2646
                20 May 2024
                2024
                : 12
                : 1391409
                Affiliations
                [1] 1 Environmental Science Centre , Qatar University , Doha, Qatar
                [2] 2 Department of Meteorology, COMSATS University Islamabad , Islamabad, Pakistan
                [3] 3 Department of Statistics, College of Arts and Science, Qatar University , Doha, Qatar
                [4] 4 College of Pharmacy, QU Health, Qatar University , Doha, Qatar
                [5] 5 Department of Engineering, University of New Brunswick , Saint John, NB, Canada
                [6] 6 Department of Building, Civil and Environmental Engineering, Concordia University , Montreal, QC, Canada
                Author notes

                Edited by: Asim Jilani, King Abdulaziz University, Saudi Arabia

                Reviewed by: Lakshmi Narayanan Mosur Saravana Murthy, Intel, United States

                Muhammad Bilal Shakoor, University of the Punjab, Pakistan

                Majid Nazeer, Hong Kong Polytechnic University, Hong Kong SAR, China

                *Correspondence: Imran Shahid, ishahid@ 123456qu.edu.qa
                Article
                1391409
                10.3389/fchem.2024.1391409
                11144860
                38831915
                04e23499-c349-4e2f-afde-bfd6ffd3a6cf
                Copyright © 2024 Shahid, Shahzad, Tutsak, Mahfouz, Al Adba, Abbasi, Rathore, Asif and Chen.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 25 February 2024
                : 26 April 2024
                Funding
                Funded by: Qatar University , doi 10.13039/501100004252;
                Award ID: IRCC-2023-152
                The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. The funding for this work is provided by Qatar University by IRCC grant # IRCC-2023-152.
                Categories
                Chemistry
                Review
                Custom metadata
                Nanoscience

                carbon nanotubes,nanomaterials,air quality,sensors,iot sensors network

                Comments

                Comment on this article