دورية أكاديمية
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Low-Cost Sensors for Monitoring Coastal Climate Hazards: A Systematic Review and Meta-Analysis.

التفاصيل البيبلوغرافية
العنوان: Low-Cost Sensors for Monitoring Coastal Climate Hazards: A Systematic Review and Meta-Analysis.
المؤلفون: Ahmed T; Department of Environmental Science, Atlantic Technological University, F91YW50 Sligo, Ireland., Creedon L; Centre for Mathematical Modelling and Intelligent Systems for Health and Environment (MISHE), Atlantic Technological University, F91YW50 Sligo, Ireland., Gharbia SS; Department of Environmental Science, Atlantic Technological University, F91YW50 Sligo, Ireland.
المصدر: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Feb 03; Vol. 23 (3). Date of Electronic Publication: 2023 Feb 03.
نوع المنشور: Journal Article; Review
اللغة: English
بيانات الدورية: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: PubMed not MEDLINE; MEDLINE
أسماء مطبوعة: Original Publication: Basel, Switzerland : MDPI, c2000-
مستخلص: Unequivocal change in the climate system has put coastal regions around the world at increasing risk from climate-related hazards. Monitoring the coast is often difficult and expensive, resulting in sparse monitoring equipment lacking in sufficient temporal and spatial coverage. Thus, low-cost methods to monitor the coast at finer temporal and spatial resolution are imperative for climate resilience along the world's coasts. Exploiting such low-cost methods for the development of early warning support could be invaluable to coastal settlements. This paper aims to provide the most up-to-date low-cost techniques developed and used in the last decade for monitoring coastal hazards and their forcing agents via systematic review of the peer-reviewed literature in three scientific databases: Scopus, Web of Science and ScienceDirect. A total of 60 papers retrieved from these databases through the preferred reporting items for systematic reviews and meta-analyses (PRISMA) protocol were analysed in detail to yield different categories of low-cost sensors. These sensors span the entire domain for monitoring coastal hazards, as they focus on monitoring coastal zone characteristics (e.g., topography), forcing agents (e.g., water levels), and the hazards themselves (e.g., coastal flooding). It was found from the meta-analysis of the retrieved papers that terrestrial photogrammetry, followed by aerial photogrammetry, was the most widely used technique for monitoring different coastal hazards, mainly coastal erosion and shoreline change. Different monitoring techniques are available to monitor the same hazard/forcing agent, for instance, unmanned aerial vehicles (UAVs), time-lapse cameras, and wireless sensor networks (WSNs) for monitoring coastal morphological changes such as beach erosion, creating opportunities to not only select but also combine different techniques to meet specific monitoring objectives. The sensors considered in this paper are useful for monitoring the most pressing challenges in coastal zones due to the changing climate. Such a review could be extended to encompass more sensors and variables in the future due to the systematic approach of this review. This study is the first to systematically review a wide range of low-cost sensors available for the monitoring of coastal zones in the context of changing climate and is expected to benefit coastal researchers and managers to choose suitable low-cost sensors to meet their desired objectives for the regular monitoring of the coast to increase climate resilience.
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معلومات مُعتمدة: 101003534 EU Horizon 2020 research and innovation
فهرسة مساهمة: Keywords: climate change; coastal hazards; low-cost sensors
تواريخ الأحداث: Date Created: 20230211 Date Completed: 20230213 Latest Revision: 20230214
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC9919000
DOI: 10.3390/s23031717
PMID: 36772769
قاعدة البيانات: MEDLINE
الوصف
تدمد:1424-8220
DOI:10.3390/s23031717