H33A:
Artificial Intelligence and Machine Learning Methods in Water Resources Management II Posters


Session ID#: 8651

Session Description:
Climate variability and change is expected to affect the frequency of extreme hydrological events.  Floods and droughts are likely to happen more frequently with much higher intensity and extended period of time which pose challenges to water resources management and environmental sustainability.  Many studies have been shown that recent development in artificial intelligence and machine learning methods has enabled us to utilize large amount of in situ and remote sensing information more effectively for improving weather and climate prediction, hydrological forecasting, and ecological modeling. This session aims to bring together scientists to discuss and exchange knowledge about the current state of AI & machine learning approaches and to demonstrate their methods and applications in the hydrology, ecology, atmospheric and environmental sciences.
Primary Convener:  Kuo-lin Hsu, University of California Irvine, Irvine, CA, United States
Conveners:  Fi-John Chang, National Taiwan University, Department of Bioenvironmental Systems Engineering, Taipei, Taiwan and Li-Chiu Chang, Tamkang University, Department of Water Resources and Environmental Engineering, Taipei, Taiwan
Chairs:  Kuo-lin Hsu, University of California Irvine, Irvine, CA, United States, Fi-John Chang, National Taiwan University, Department of Bioenvironmental Systems Engineering, Taipei, Taiwan and Li-Chiu Chang, Tamkang University, Department of Water Resources and Environmental Engineering, Taipei, Taiwan
OSPA Liaison:  Li-Chiu Chang, Tamkang University, Department of Water Resources and Environmental Engineering, Taipei, Taiwan

Cross-Listed:
  • A - Atmospheric Sciences
  • NH - Natural Hazards
Index Terms:

1914 Data mining [INFORMATICS]
1918 Decision analysis [INFORMATICS]
1922 Forecasting [INFORMATICS]
1942 Machine learning [INFORMATICS]

Abstracts Submitted to this Session:

Estimation of Flow Duration Curve for Ungauged Catchments using Adaptive Neuro-Fuzzy Inference System and Map Correlation Method: A Case Study from Turkey (65999)
Elcin Kentel, Middle East Technical University, Department of Civil Engineering, Ankara, Turkey and Nilay Dogulu, Middle East Technical University, Ankara, Turkey
Investigation on Reservoir Operation of Agricultural Water Resources Management for Drought Mitigation (76774)
Chung-Lien Cheng, NTU National Taiwan University, Taipei, Taiwan
To select better adaption plan for water resources management while facing to the uncertainty of the global climate change: A case from Hualien, eastern Taiwan (78671)
Li-Chun Peng1, Wan-Yu Lien1, Wei-Chih Lin1, Chih-Chao Ho2, Nien-ming Hong3 and Yu-Pin Lin1, (1)National Taiwan University, Taipei, Taiwan, (2)Feng Chia University, Construction and Disaster Prevention Research Center, Taichung, Taiwan, (3)Chinese Culture University, taipei, Taiwan
Explore the Impacts of River Flow and Water Quality on Fish Communities (79266)
Wen-Ping Tsai1, Fi-John Chang1, Chia-Yu Lin1, Jia-Hao Hu1, Chi-Jyun Yu1 and Ta-Jen Chu2, (1)National Taiwan University, Department of Bioenvironmental Systems Engineering, Taipei, Taiwan, (2)Chung Hua University, Department of Leisure and Recreation Management, Hsinchu, Taiwan
Cascade Reservoirs Floodwater Resources Utilization (79496)
Yimin Wang, Xi'an University of Technology, Xi'an, China
Applying Short-Time Fourier Transform on Groundwater Fluctuation for the Estimation of Regional Groundwater Pumping (79772)
Chien Han Yu1, Yu-Wen Chen1, Yetmen Wang2, Liang-Cheng Chang3 and You-cheng Chen4, (1)National Chiao Tung University, Hsinchu, Taiwan, (2)AnCAD Incorporation, New Taipei City, Taiwan, (3)National Yang Ming Chiao Tung University, Department of Civil Engineering, Hsinchu, Taiwan, (4)NCTU, Hsinchu, Taiwan
Isomap based supporting vector machine (80705)
Wen-ning Liang, NTU National Taiwan University, Taipei, Taiwan
A Data-Driven Approach to Assess Coastal Vulnerability: Machine Learning from Hurricane Sandy (83288)
Romano Foti, Stephanie Marie Miller and Franco A Montalto, Drexel University, Philadelphia, PA, United States
Forecasting wetting and drying of post-wildfire soils in response to precipitation: A time series optimization approach (83424)
Aniruddha Basak1, Chinmay Kulkarni1, Kevin M Schmidt2 and Ole Jakob Mengshoel1, (1)Carnegie Mellon University Silicon Valley, Moffett Field, CA, United States, (2)USGS Western Regional Offices Menlo Park, Menlo Park, CA, United States
Effects of future climate conditions on terrestrial export from coastal southern California (83603)
Dongmei Feng1, Yuanhao Zhao2, Roozbeh Raoufi1, Edward Beighley1 and John M Melack3, (1)Northeastern University, Department of Civil and Environmental Engineering, Boston, MA, United States, (2)Northeastern University, Boston, MA, United States, (3)University of California Santa Barbara, Earth Research Institute, Santa Barbara, United States
Developing a Decision Support System for Flood Response: NIMS/ICS Fundamentals (85082)
Xiaoyin Zhang1, Joseph Lee Gutenson1, Andrew N.S. Ernest1, Abdoul Oubeidillah2 and Lian Zhu1, (1)University of Alabama, Tuscaloosa, AL, United States, (2)NOAA/NWS/NWC, Tuscaloosa, AL, United States
Long Series Multi-objectives Optimal Operation of Water And Sediment Regulation (86535)
Tao Bai and Wenting Jin, Xi'an University of Technology, Xi'an, China

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