Temporal Prediction of Landslide-Generated Waves Using a Theoretical–Statistical Combined Method
For the prediction of landslide-generated waves, previous studies have developed numerous empirical equations to express the maximums of wave characteristics as functions of slide parameters upon impact. In this study, we built the temporal relationship between the wave characteristics and slide fea...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/11/6/1151 |
| _version_ | 1797593966259994624 |
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| author | Zhenzhu Meng Jinxin Zhang Yating Hu Christophe Ancey |
| author_facet | Zhenzhu Meng Jinxin Zhang Yating Hu Christophe Ancey |
| author_sort | Zhenzhu Meng |
| collection | DOAJ |
| description | For the prediction of landslide-generated waves, previous studies have developed numerous empirical equations to express the maximums of wave characteristics as functions of slide parameters upon impact. In this study, we built the temporal relationship between the wave characteristics and slide features. We gave specific insights into impulse waves generated by snow avalanches and mimicked them using a buoyant material called <i>Carbopol</i> whose density is close to that of water. Using the particle image velocimetry (PIV) technique, the slide’s temporal velocity field and thickness, as well as the temporal free water surface fluctuation, were determined experimentally. Using a statistical method denoted as <i>panel data analysis</i>, we quantified the temporal wave amplitude from the time series data of the thickness and depth-averaged velocity of the sliding mass at the shoreline. Then, the slide’s temporal thickness and velocity at the shoreline were estimated from the parameters of the stationary slide at the initial position, based on the viscoplastic theory. Combining the panel data analysis and the viscoplastic theory, the temporal wave amplitudes were estimated from the initial slide parameters. In the end, we validated the proposed theoretical–statistical combined predictive method with the support of experimental data. |
| first_indexed | 2024-03-11T02:17:00Z |
| format | Article |
| id | doaj.art-09e8e468a4854f3d8eeb8cc6b75fe5c1 |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-11T02:17:00Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-09e8e468a4854f3d8eeb8cc6b75fe5c12023-11-18T11:06:37ZengMDPI AGJournal of Marine Science and Engineering2077-13122023-05-01116115110.3390/jmse11061151Temporal Prediction of Landslide-Generated Waves Using a Theoretical–Statistical Combined MethodZhenzhu Meng0Jinxin Zhang1Yating Hu2Christophe Ancey3School of Water Conservancy and Environment Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, ChinaSchool of Water Conservancy and Environment Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, ChinaCollege of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, ChinaEnvironmental Hydraulics Laboratory, Ecole Polytechnique Fédérale de Lausanne, 1015 Lausanne, SwitzerlandFor the prediction of landslide-generated waves, previous studies have developed numerous empirical equations to express the maximums of wave characteristics as functions of slide parameters upon impact. In this study, we built the temporal relationship between the wave characteristics and slide features. We gave specific insights into impulse waves generated by snow avalanches and mimicked them using a buoyant material called <i>Carbopol</i> whose density is close to that of water. Using the particle image velocimetry (PIV) technique, the slide’s temporal velocity field and thickness, as well as the temporal free water surface fluctuation, were determined experimentally. Using a statistical method denoted as <i>panel data analysis</i>, we quantified the temporal wave amplitude from the time series data of the thickness and depth-averaged velocity of the sliding mass at the shoreline. Then, the slide’s temporal thickness and velocity at the shoreline were estimated from the parameters of the stationary slide at the initial position, based on the viscoplastic theory. Combining the panel data analysis and the viscoplastic theory, the temporal wave amplitudes were estimated from the initial slide parameters. In the end, we validated the proposed theoretical–statistical combined predictive method with the support of experimental data.https://www.mdpi.com/2077-1312/11/6/1151landslide-generated wavesPIVtemporal predictiontime series datacohesive landslideviscoplastic fluid |
| spellingShingle | Zhenzhu Meng Jinxin Zhang Yating Hu Christophe Ancey Temporal Prediction of Landslide-Generated Waves Using a Theoretical–Statistical Combined Method Journal of Marine Science and Engineering landslide-generated waves PIV temporal prediction time series data cohesive landslide viscoplastic fluid |
| title | Temporal Prediction of Landslide-Generated Waves Using a Theoretical–Statistical Combined Method |
| title_full | Temporal Prediction of Landslide-Generated Waves Using a Theoretical–Statistical Combined Method |
| title_fullStr | Temporal Prediction of Landslide-Generated Waves Using a Theoretical–Statistical Combined Method |
| title_full_unstemmed | Temporal Prediction of Landslide-Generated Waves Using a Theoretical–Statistical Combined Method |
| title_short | Temporal Prediction of Landslide-Generated Waves Using a Theoretical–Statistical Combined Method |
| title_sort | temporal prediction of landslide generated waves using a theoretical statistical combined method |
| topic | landslide-generated waves PIV temporal prediction time series data cohesive landslide viscoplastic fluid |
| url | https://www.mdpi.com/2077-1312/11/6/1151 |
| work_keys_str_mv | AT zhenzhumeng temporalpredictionoflandslidegeneratedwavesusingatheoreticalstatisticalcombinedmethod AT jinxinzhang temporalpredictionoflandslidegeneratedwavesusingatheoreticalstatisticalcombinedmethod AT yatinghu temporalpredictionoflandslidegeneratedwavesusingatheoreticalstatisticalcombinedmethod AT christopheancey temporalpredictionoflandslidegeneratedwavesusingatheoreticalstatisticalcombinedmethod |