Výsledky vyhledávání - "Sheng Hsueh Yang"

Smart city disaster prevention platform information integration displays and practical application in New Taipei City Taiwan

Autor: Sheng-Hsueh Yang, Der-Ren Song, Jyh-Hour Pan, Xi-Jun Wang, Sheau-Ling Hsieh, Keh-Chia Yeh, Cheng-Wei Li, Wen-Feng Wu

Urban areas are gradually being affected by climate change. It is difficult to avoid urban flooding caused by heavy rainfall. Especially road flooding occurs 2-3 times a year in urban areas in the summer of Taiwan, when the regional weather is convec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::58cbf666546bc0acb8e12201ecce00af
https://doi.org/10.5194/egusphere-egu23-3883

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Akademický článek

Artificial Intelligence Methodologies Applied to Prompt Pluvial Flood Estimation and Prediction

Autor: Deng-Lin Chang, Sheng-Hsueh Yang, Sheau-Ling Hsieh, Hui-Jung Wang, Keh-Chia Yeh

Publikováno v: Water, Vol 12, Iss 12, p 3552 (2020)

Regarding urban flooding issues, applying Artificial Intelligence (AI) methodologies can provide a timely prediction of imminent incidences of flash floods. The study aims to develop and deploy an effective real-time pluvial flood forecasting AI plat

Externí odkaz: https://doaj.org/article/af0728dd990d4d00a6d99c3b924f9265

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Research on the Integration of Urban Flood Control Monitoring and Management Platform

Autor: Cheng-Wei Li, Wen-Feng Wu, Sheng-Hsueh Yang, Keh-Chia Yeh

Disaster prevention IoT monitoring technology can be used to solve some problems in urban disaster prevention. For example, in the past, urban areas often experienced extreme regional rainstorms, which caused flooding, traffic chaos, and emergency re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::87566bf1e7acff805e9b33e762ab6ea7
https://doi.org/10.5194/egusphere-egu2020-12690

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Application of Internet of Things monitoring technology to the improvement of agricultural irrigation disaster management

Autor: Wen-Hao Leu, Meng-Chen Chen, Sheng-Hsueh Yang, Jiun-Hue Kuo, Keh-Chia Yeh

Climate change has gradually affected Taiwan's agricultural environment. The number of raining days has decreased, the rainfall intensity has increased, and the drought time has been prolonged. In addition, with the mountainous terrain of Taiwan, rai

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::abd2df3b128dd142d61eb809e5e97187
https://doi.org/10.5194/egusphere-egu2020-4013

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A probabilistic model for evaluating the reliability of rainfall thresholds for shallow landslides based on uncertainties in rainfall characteristics and soil properties

Autor: Sheng Hsueh Yang, Shiang Jen Wu, Yi Hua Hsiao, Keh-Chia Yeh

Publikováno v: Natural Hazards. 87:469-513

This study aims to develop a probabilistic rainfall threshold estimation model for shallow landslides (PRTE_LS) in order to quantify its reliability while being affected by uncertainties in the rainfall characteristics and soil properties. The rainfa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::581b8e53a45eead37471557c55591ade
https://doi.org/10.1007/s11069-017-2773-y

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Artificial Intelligence Methodologies Applied to Prompt Pluvial Flood Estimation and Prediction

Autor: Sheng Hsueh Yang, Keh Chia Yeh, Deng Lin Chang, Sheau Ling Hsieh, Hui Jung Wang

Publikováno v: Water
Volume 12
Issue 12
Water, Vol 12, Iss 3552, p 3552 (2020)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a86778dca1b7817b99f1584dbc912a2a
https://doi.org/10.3390/w12123552

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Modeling probabilistic lag time equation in a watershed based on uncertainties in rainfall, hydraulic and geographical factors

Autor: Shiang Jen Wu, Sheng Hsueh Yang, Keh-Chia Yeh, Chih Hung Ho

Publikováno v: Hydrology Research. 47:1116-1141

This study proposes a framework for developing a probabilistic lag time (PLT) equation by taking into account uncertainty factors, including the rainfall factor (i.e., the maximum rainfall intensity), the hydraulic factor (i.e., the roughness coeffic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::342ac5a1ef7b7e70296e710291a4817a
https://doi.org/10.2166/nh.2016.134

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Deriving landslide dam geometry from remote sensing images for the rapid assessment of critical parameters related to dam-breach hazards

Autor: Jyh-Jong Liao, Po Jung Lai, Chung Pai Chang, Sheng Hsueh Yang, Jia Jyun Dong, Keh-Chia Yeh, Yii-Wen Pan

Publikováno v: Landslides. 11:93-105

Dam-breaches that cause outburst floods may induce downstream hazards. Because landslide dams can breach soon after they are formed, it is critical to assess the stability quickly to enable prompt action. However, dam geometry, an essential component

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e42dcc4bdc9d095eb3efeec0071cceb9
https://doi.org/10.1007/s10346-012-0375-z

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