Tsun-Hua Yang

Tsun-Hua Yang
National Yang Ming Chiao Tung University

PhD, PE

About

24
Publications
8,437
Reads
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296
Citations
Citations since 2017
15 Research Items
255 Citations
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20172018201920202021202220230102030405060
20172018201920202021202220230102030405060
Introduction
Dr. Yang is working as Associate Professor at the Department of Civil Engineering, National Yang Ming Chiao Tung University in Taiwan. His research is focused on advancing key technologies of disaster mitigation caused by natural disasters such as typhoons and floods. Dr. Yang currently works on a variety of projects related to edge computing-based sensory network (ECOMSNet) for flood mitigation, and the development of rapid 2-dimensional flood routing models for operational purposes.
Additional affiliations
August 2018 - present
National Chiao Tung University
Position
  • Professor (Assistant)
January 2016 - July 2018
Taiwan Typhoon and Flood Research Institute
Position
  • Managing Director
January 2015 - January 2016
National Applied Research Laboratories
Position
  • Research Associate
Education
September 2004 - June 2008
University of California, Davis
Field of study
  • Civil Engineering

Publications

Publications (24)
Article
Full-text available
The efficient design of ultraviolet light (UV) systems for water and wastewater treatment requires detailed knowledge of the patterns of fluid motion that occur in the disinfection channel. This knowledge is increasingly being obtained using Computational Fluid Dynamics (CFD) software packages that solve the equations governing turbulent fluid-flow...
Article
Full-text available
To develop a flood forecasting system, estimating the discharge hydrograph is essential. In general, discharges at gauged river sites are calculated by applying simple methods such using the relationship of measured stages to discharges, namely rating curves, or multiplying mean velocity with flow cross-sectional area. The flow cross-sectional area...
Article
Full-text available
A flash flood is an event that develops rapidly. Given early warnings with sufficient lead time, flood forecasting can help people prepare disaster prevention measures. To provide this early warning, a statistics-based flood forecasting model was developed to evaluate the flooding potential in urban areas using ensemble quantitative precipitation f...
Article
Full-text available
During an extreme event, having accurate inflow forecasting with enough lead time helps reservoir operators decrease the impact of floods downstream. Furthermore, being able to efficiently operate reservoirs could help maximize flood protection while saving water for drier times of the year. This study combines ensemble quantitative precipitation f...
Article
Full-text available
This study proposes a simplified model for non-riverine flood routing using a digital elevation model. The model has the advantage of running with only a few types of input, such as topographic data and cumulative rainfall. Given its ease of use, the model is stable and reliable for developing a real-time inundation forecasting system. This model u...
Article
Full-text available
Changes in the global climate have induced densified rainfall and caused natural hazards across the world in recent years. Formed by a central mountain range and a corridor of alluvial plains to the west, Taiwan is at risk of flood hazards owing to its low-lying lands as well as the distinct seasonality of rainfall patterns. The rapid discharge of...
Article
Full-text available
Extreme weather events cause stream overflow and lead to urban inundation. In this study, a decentralized flood monitoring system is proposed to provide water level predictions in streams three hours ahead. The customized sensor in the system measures the water levels and implements edge computing to produce future water levels. It is very differen...
Article
Full-text available
An efficient inundation model is necessary for emergency flood responses during storm events. Cellular automata (CA)-based flood models have been proven to produce rapid results while maintaining a certain degree of accuracy. However, the need for computational resources dramatically increases when the number of grid cells increases. Digital elevat...
Conference Paper
Full-text available
Emergency operations aim to reduce or mitigate the impacts of disasters. To support these priorities, sufficient lead time is an important consideration. Rapid inundation simulation for an early flood warning system considers as an effective with high-resolution of Digital Elevation Model (DEM). Flood model based on Cellular Automata (CA) is a mode...
Article
Water level monitoring and forecasting are essential tasks in flood emergency response. This study proposes an Edge COMputing-based Sensory NETwork (ECOMSNet), an innovative decentralized early warning system (EWS), for water level monitoring and prediction. A sensor-embedded algorithm integrates the direct step method (DSM) with a microgenetic alg...
Chapter
For setting up an early warning system or for making a decision of disaster mitigation, real-time precipitation observation collected by in situ stations are necessary. However, the data easily become corrupted because of sensor failure or communication error. The simulations of a relevant hydrologic model under an extreme situation could be ridicu...
Chapter
Extreme weather events such as typhoons and torrential rain can cause loss of life, damage of property and business. Recent research and events showed that flood damage to industrial areas not only cause damage to high-tech instruments and products but also lead to the supply chain disruption. The later one has a significant impact on the global ma...
Article
Full-text available
Hydrological ensemble prediction systems (HEPSs) can provide decision makers with early warning information, such as peak stage and peak time, with enough lead time to take the necessary measures to mitigate disasters. This study develops a HEPS that integrates meteorological, hydrological, storm surge, and global tidal models. It is established to...
Article
Full-text available
Water is a limited resource but essential to sustaining life and supporting economic development. Only 2.5% of all the water on Earth is freshwater and can be used to meet basic human needs such as a clean supply of water for drinking, cooking, and bathing. Water scarcity is the result of an imbalance between supply and demand. Efficient water reso...
Article
Numerical weather prediction (NWP) models are commonly used to predict mean wind speeds. However, methods for predicting gust wind speeds in NWP models are still lacking due to limitations of computer resources. This study develops two models to provide gust wind speed forecasts during a typhoon event: (1) a linear regression-based model and (2) a...
Article
Full-text available
Rainfall during typhoons is one of the most important water resources in Taiwan, but heavy typhoon rainfall often leads to serious disasters and consequently results in loss of lives and property. Hence, accurate forecasts of typhoon rainfall are always required as important information for water resources management and rainfall-induced disaster w...
Article
Full-text available
This study proposes an integrated hydrometeorological system combining a fully physically based rainfall-runoff model (i.e., kinematic-wave-based geomorphologic instantaneous unit hydrograph model, KW-GIUH) with a numerical weather model (i.e., Taiwan cooperative precipitation ensemble forecast experiment, TAPEX) for performing hourly reservoir inf...
Article
Full-text available
Background Extreme weather and climate events such as super typhoons and unprecedented recorded high intensity rainfall events have increased in recent years due to climate change. Such extreme weather events generate floods and cause loss of life and property. Therefore, efficient strategies and measures for flood mitigation and prevention are ess...
Article
Full-text available
Typhoons are accompanied by heavy rainfall and cause loss of life and property. Hydrological ensemble prediction systems can provide decision makers with hydrological information, such as peak stage and peak time, with some lead time. This information assists decision makers in taking the necessary measures to prevent and mitigate disasters. This s...
Article
Full-text available
Urban inundation forecasting with extended lead times is useful in saving lives and property. This study proposes the integration of rainfall thresholds and ensemble precipitation forecasts to provide probabilistic urban inundation forecasts. Utilization of ensemble precipitation forecasts can extend forecast lead times to 72 h, predicting peak flo...
Article
Full-text available
A novel input subset including average radar reflectivity (Zave) and its standard deviation (SD) is proposed to improve radar estimates of rainfall based on a radial basis function (RBF) neural network. The RBF derives a relationship from a historical input subset, called a training dataset, consisting of radar measurements such as reflectivity (Z)...
Article
Full-text available
Selection of an appropriate value for Manning's roughness coefficient could significantly impact the accuracy of a hydraulic model. However, it is highly variable and depends on flow circumstances, such as water stage and flow quantity; a stream's geomorphology, such as the fluvial process and river meandering; and physical conditions, such as the...
Article
Full-text available
An assessment is made of the importance of vortex shedding which occurs from UV lamps on the efficacy of disinfection in UV channels. The focus is on the high Reynolds-number regime where turbulent flow conditions prevail and where there exists a strong interaction between the periodic mean-flow unsteadiness and the random turbulent motions. Simula...

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