Smart City Environmental Monitoring Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 4973
Special Issue Editors
Interests: air quality modelling and pollution; climate change monitoring; microsensor development; emission data preparation and processing
2. Department of Mathematics, The Chinese University of Hong Kong, Hong Kong SAR, China
Interests: applied and computational mathematics; image and data analytics; machine learning algorithms; remote sensing; numerical modeling; smart city development
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Environmental sustainability and smart city development have become hot topics in recent years, and these missions have been explicitly campaigned in the United Nation’s Sustainable Development Goals (e.g., SDG3, SDG7, SDG11, and SDG13). The SDGs aim to promote sustainable and healthy living environments and alleviate environmental risks induced by climate change, urban air pollution, and associated human factors. These aims will improve the health conditions of our living environment and steer cities forward through the use of digitalized approaches. To emphasize the interaction between humans and nature, real-time environmental conditions must be systematically monitored and delivered to the public, so that citizens can identify sources of environmental pollution and receive potential alerts of environmental hazards; such real-time monitoring and subsequent actions can minimize the devastating impacts of associated and undesired events, thus enhancing long-term quality of life.
To continuously monitor environmental changes at various spatial scales, in recent years, different kinds of monitoring systems and field experiments have been established and applied in various areas, including meteorological investigation, air and water pollution, and traffic and mobility studies. These studies cover a wide range of science topics and knowledge, including discussions of low-cost sensors and microsensor technology, community-based/citizen-science-based environmental monitoring network, national and/or international environmental campaigns, and satellite missions. To capture, characterize, and analyze these environmental datasets, different big-data-driven approaches and mathematical algorithms have been established by researchers and scientists, including the following: cloud computing and clusters, Internet of Things (IoT), machine learning (ML) and data assimilation approaches, wireless data transmission, and remote sensing (RS). Furthermore, the combination of modern geospatial and data analytical tools such as ArcGIS, programming techniques, protocols, and deep learning has also enhanced the reliability of retrieved results. This provides possibilities for environmental data sharing and cooperation between central government and local communities, or even between cities and continents.
This Special Issue, titled “Smart City Environmental Monitoring Systems”, aims to publish visionary papers on the latest advancement of technologies in environmental monitoring, environmental data analysis, and delivery of associated information to the general public. Related discussions might cover the question of how cutting-edge approaches have been adopted in promoting smart and sustainable living environments, or review the outlook of smart cities from environmental perspectives. It is our great pleasure to cordially invite you to submit original research papers, relevant critical literature reviews, case reports on relevant topics, and opinions and technical notes on applying relevant smart technologies in continuous environmental monitoring, both currently and in the future.
Submissions from worldwide experts in both academia and industry are welcomed and encouraged. We are looking forward to receiving your high-quality submissions.
Dr. Yun Fat LAM
Dr. Hugo Wai Leung Mak
Guest Editors
Manuscript Submission Information
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Keywords
- smart and sustainable community
- community-based environmental monitoring network
- citizen science
- microsensor technology and development
- field experiments in environmental discipline
- Internet of Things (IoT)
- machine learning and data assimilation
- artificial intelligence and big data analytics
- environmental remote sensing
- environmental informatics and modelling
- environmental data openness and coordination
- data-driven solutions for environmental sustainability
- transportation monitoring
- city mobility
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