Atmospheric and Hydrospheric Sciences (A)
Session Sub-category Hydrology & Water Environment(HW)
Session ID A-HW22
Title River Channel Morphology, Water Resource Management, and Advanced Techniques
Short Title Morphology, Management, and Techniques
Main Convener Name Cheng-Chia Huang
Affiliation Feng Chia University
Co-Convener 1 Name Ming-Che HU
Affiliation National Taiwan University
Co-Convener 2 Name Masaomi Kimura
Affiliation KINDAI UNIVERSITY
Co-Convener 3 Name Fong-Zuo Lee
Affiliation National Chung Hsing University
Session Language 
E
Scope 
This session aims to discuss the dynamics of river channel morphology and innovative approaches to water resource management in light of ongoing environmental challenges. Key topics include river morphodynamics, sediment transport processes, the latest advancements in experimental, numerical, remote sensing, and AI-driven techniques, and the effects of climate change on water resources management. We hope to offer novel insights into decision-making processes in water resource management-related fields.
Presentation Format Oral and Poster presentation
Time Presentation No Title Presenter
Oral Presentation May 27 PM1
13:45 - 14:00 AHW22-01 Integrating Machine Learning for Advanced Groundwater Level Estimation and Drought Vulnerability Assessment in a Changing Climate Wei Sun
14:00 - 14:15 AHW22-02 Response and Recovery of Mountain Rivers to Extreme Rainfall: A Case Study of Heshe River, Taiwan Tung Yang Lai
14:15 - 14:30 AHW22-03 Evaluation of the effectiveness of river dredging using sediment budget management and numerical scouring and siltation model case study of LaKuSher Creek in Southern Taiwan Bing-Shyan Lin
14:30 - 14:45 AHW22-04 Calibrating Land Surface Model Parameters for Crop Canopy Energy Cycle Using Differentiable Parameter Learning Xie Wenpeng
14:45 - 15:00 AHW22-05 Predicting Planform Dynamics and LULC Transitions in a Sub-Himalayan Transboundary River Basin, India Anoop Kumar Shukla
15:00 - 15:15 AHW22-06 Network spectrum optimization model of water resource management Ming-Che HU
Presentation No Title Presenter
Poster Presentation May 27 PM3
AHW22-P01 Assessing Levee Overtopping Risks Under Climate Change: A Numerical Investigation of Water Level Variations in the Tamsui River Basin Cheng-Chia Huang
AHW22-P02 Desilting impact under varied hydrological conditions and desilting location Fong-Zuo Lee
AHW22-P03 Empirical modeling of total nitrogen distribution in seawater using optical Earth observation satellites: A case study of Yoron Island, Central Ryukyus Pingkan Mayestika Afgatiani
AHW22-P04 Integrating Deep Learning and Explainable AI for Groundwater Level Prediction in Taiwan Yun-Ting Wang
AHW22-P05 Integrating Green Energy with Agriculture: Optimizing Greenhouse Efficiency and Carbon Reduction for a Sustainable Future Chia-Ying Chuang
AHW22-P06 Frontier Exploration in Groundwater Level Forecasting: Precision Prediction Techniques Based on Transformer Models Chia Jung Chueh
AHW22-P07 Hybrid Deep Learning-Physical Model for Regional Groundwater Level Prediction JUN-JIE LIN
AHW22-P08 Optimization of Agricultural Irrigation to Enhance Climate Resilience: Integrating AI and Small Hydropower for Sustainable Water-Energy Management Guan-Wei Li
AHW22-P09 Visualization of Regionalized Unstable Sediment Risk Distribution under Climate Change Impact: A Case Study of Zengwen Reservoir, Taiwan BO-YING CHIU
AHW22-P10 Assessing debris flow risk in mudstone regions under climate change: integrating rainfall characteristics and spatial distribution Wen-Yung Chiu
AHW22-P11 Rockfall Susceptibility Analysis of Taiwan's Forest Roads Using RHRS Risk Assessment Hui Xiang Zhang
AHW22-P12 Risk Assessment of Slope Hazards in Remote Mountainous Settlements in Taiwan PEI RU WANG
AHW22-P13 Danger of riverbank erosion in Western Siberia Anna Kurakova
AHW22-P14 How to Model Mountain Rivers: A Multi-Objective Validation Approach in the Central Caucasus Ekaterina Dmitrievna Pavlyukevich
AHW22-P15 Using a Bayesian network model for typhoon rainfall prediction I-TING KUNG
AHW22-P16 Using Synthetic Information from Numerical Models as Inputs for Artificial Intelligence to produce Detailed Flood Map: A Preliminary Study HUNG-YING CHEN