التفاصيل البيبلوغرافية
| العنوان: |
Resilient Coastal Protection Infrastructures: Probabilistic Sensitivity Analysis of Wave Overtopping Using Gaussian Process Surrogate Models |
| المؤلفون: |
Paul Kent, Soroush Abolfathi, Hannah Al Ali, Tabassom Sedighi, Omid Chatrabgoun, Alireza Daneshkhah |
| المصدر: |
Sustainability ; Volume 16 ; Issue 20 ; Pages: 9110 |
| بيانات النشر: |
Multidisciplinary Digital Publishing Institute |
| سنة النشر: |
2024 |
| المجموعة: |
MDPI Open Access Publishing |
| مصطلحات موضوعية: |
climate resilience, coastal flooding, Gaussian processes, probabilistic sensitivity analysis, wave overtopping, coastal defence |
| جغرافية الموضوع: |
agris |
| الوصف: |
This paper presents a novel mathematical framework for assessing and predicting the resilience of critical coastal infrastructures against wave overtopping hazards and extreme climatic events. A probabilistic sensitivity analysis model is developed to evaluate the relative influence of hydrodynamic, geomorphological, and structural factors contributing to wave overtopping dynamics. Additionally, a stochastic Gaussian process (GP) model is introduced to predict the mean overtopping discharge from coastal defences. Both the sensitivity analysis and the predictive models are validated using a large homogeneous dataset comprising 163 laboratory and field-scale tests. Statistical evaluations demonstrate the superior performance of the GPs in identifying key parameters driving wave overtopping and predicting mean discharge rates, outperforming existing regression-based formulae. The proposed model offers a robust predictive tool for assessing the performance of critical coastal protection infrastructures under various climate scenarios. |
| نوع الوثيقة: |
text |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| Relation: |
Sustainable Engineering and Science; https://dx.doi.org/10.3390/su16209110 |
| DOI: |
10.3390/su16209110 |
| الاتاحة: |
https://doi.org/10.3390/su16209110 |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ |
| رقم الانضمام: |
edsbas.3D550AE6 |
| قاعدة البيانات: |
BASE |