A Fuzzy-Logic Approach for Optimized and Cost-Effective Early Warning System for Tsunami Detection

Qayyum, Bushra; Ahmed, Atiq; Ullah, Ihsan; Shah, Syed Attique

doi:10.3390/su142114516

Cited by 2 publications

(1 citation statement)

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“…However, many tsunami events have emphasized that those sensors are sparsely located (Gusman et al, 2016) and often offline due to weather conditions, maintenance difficulties or vandalism (Xerandy et al, 2015). Moreover, the DART observing network is very costly, installed mainly by wealthy countries such as the USA or Japan, and therefore unlikely to be adopted in a dense worldwide configuration (Jin & Lin, 2011;Mulia & Satake, 2020;Qayyum et al, 2022). Current Tsunami Early Warning Systems (TEWS) implemented worldwide are typically based on detecting and characterizing tsunamigenic earthquakes occurring in subduction zones and, therefore, do not always adequately address other sources like the ones detailed above (Amato, 2020;Srinivasa Kumar & Manneela, 2021).…”

Section: Introductionmentioning

confidence: 99%

Greetings from HYDRO 2023 Organizing Committee

Monaca

2024

IHR

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Section: Introductionmentioning

confidence: 99%

Greetings from HYDRO 2023 Organizing Committee

Monaca

2024

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Fuzzy Logic-Based Monitoring of Earth Observations

R.,

V.,

Kumar

et al. 2024

Advances in Environmental Engineering and Green Technologies

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Monitoring Earth observations performs a crucial role in expertise and predicting numerous phenomena, including weather trade, herbal disasters, land use adjustments, and commercial pollutants. This chapter explores the use of fuzzy logic strategies for monitoring earth observations, considering its capability, blessings, and challenges. Fuzzy logic-based total decision support structures have been established to be adequate gear in monitoring earth observations. One of the key advantages of this method is its ability to deal with vague and unsure data. One of the key findings is the potential of fuzzy good judgment-based monitoring to handle and incorporate uncertainty in earth observations. Conventional monitoring methods frequently battle with uncertainties associated with sensor noise, atmospheric situations, and ambiguous class standards. Fuzzy logic-based systems, alternatively, excel in handling such uncertainties by presenting bendy and adaptive reasoning strategies.

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A Fuzzy-Logic Approach for Optimized and Cost-Effective Early Warning System for Tsunami Detection

Cited by 2 publications

References 24 publications

Greetings from HYDRO 2023 Organizing Committee

Greetings from HYDRO 2023 Organizing Committee

Fuzzy Logic-Based Monitoring of Earth Observations

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