H011
Advances in Models, Algorithms, and Data Observation in Hydrology and Water Energy System Operation
Session ID#: 75879
Session Description:
Abrupt weather conditions and climatic variability have placed great challenges on the management of water resources world-widely. Scientists in the fields of hydrology, meteorology, water resources, and climate community have been developing advanced modeling tools, new data observation, and algorithms to help stakeholders derive the best possible solutions for planning and decision-making. This session seeks studies on (1) physical and statistical hydrological modeling along with new optimization algorithms for uncertainty analysis and parameter calibration, (2) climate extreme analysis and the impacts on water cycle and optimal water system operation, (3) new data and observation, i.e., in-situ and remotely sensed information, for precipitation, evaporation, soil moisture, and streamflow, etc. and (4) novel artificial intelligence and data-mining tools to solve the complex management of integrated water, agriculture, and water-related energy management. The goal of this session is to enhance our understanding on physical dynamics of water under climate change and human interference.
Index Terms:
1655 Water cycles [GLOBAL CHANGE]
1878 Water/energy interactions [HYDROLOGY]
1880 Water management [HYDROLOGY]
3305 Climate change and variability [ATMOSPHERIC PROCESSES]
Primary Convener: Tiantian Yang, The University of Oklahoma, Norman, OK, United States
Conveners: Chiyuan Miao, Beijing Normal University, Faculty of Geographical Science, Beijing, China, Xiaomang Liu, IGSNRR Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China and Soroosh Sorooshian, University of California Irvine, Irvine, CA, United States; UC Irvine, Irvine, CA, United States
Primary Liaison: Tiantian Yang, The University of Oklahoma, Norman, OK, United States
A High-resolution Precipitation Data for Hydrologic Modeling – An Evaluation Study for Basins in Nepal (491813)
Yiwen Mei1, Viviana Maggioni1, Yuan Xue2, Paul Houser3, Sujay V Kumar4, Rijan Bhakta Kayastha5 and Shruti Khadka Mishra6, (1)George Mason University Fairfax, Sid and Reva Dewberry Dept. of Civil, Environmental & Infrastructure Engineering, Fairfax, VA, United States, (2)University of Maryland, College Park, MD, United States, (3)George Mason University Fairfax, Fairfax, VA, United States, (4)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (5)Kathmandu University, Dhulikhel, Nepal, (6)Argonne National Laboratory, Argonne, IL, United States
Sensitivity analysis-based automatic parameter calibration of the variable infiltration capacity (VIC) model for streamflow simulations over China (493867)
Jiaojiao Gou1, Chiyuan Miao1, Qingyun Duan2, Qiuhong Tang3, Zhenhua Di4 and Jingwen Wu4, (1)Beijing Normal University, Faculty of Geographical Science, Beijing, China, (2)Beijing Normal University, Institute of Land Surface System and Sustainable Development, Faculty of Geographical Sciences, Beijing, China, (3)Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China, (4)Beijing Normal University, Beijing, China
Changes in Maximum Daily Runoff Depth and Suspended Sediment Yield on the Loess Plateau over the Past 50 Years (493943)
Haiyan Zheng, Beijing Normal University, Beijing, China, Chiyuan Miao, Beijing Normal University, Faculty of Geographical Science, Beijing, China and Qingyun Duan, Beijing Normal University, Institute of Land Surface System and Sustainable Development, Faculty of Geographical Sciences, Beijing, China
Hydrological drought instantaneous propagation speed (HDIPS): what role the temporary rainfall and temporary rainfall shortage play in the HDIPS (499201)
Jiefeng Wu1, Chen Xiaohong2, Huaxia Yao3 and Zhiyong Liu2, (1)Sun Yat-sen University, Guangzhou, China, (2)Sun Yat-Sen University, Guangzhou, China, (3)Ontario Ministry of Environment and Climate Change, Dorset Environmental Science Centre, Dorset, ON, Canada
A New Physically-based Pan Evaporation Model and its Application in Explaining Evaporation Paradox and Deriving First Pan Evaporation Reanalysis Dataset in China (499373)
Kaiwen Wang1,2, Wei Tian1 and Liu Changming3, (1)IGSNRR Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China, (2)University of Washington Seattle Campus, Department of Civil and Environmental Engineering, Seattle, WA, United States, (3)Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
A fast/automated watershed modeling workflow with the Penn State Integrated Hydrologic Model (PIHM): Essential data, simulation, applications and visualization (504134)
Lele Shu1,2, Paul Aaron Ullrich1,3 and Christopher Duffy2, (1)University of California Davis, Davis, CA, United States, (2)The Pennsylvania State University, Department of Civil and Environmental Engineering, University Park, PA, United States, (3)Lawrence Berkeley National Laboratory, Computational Research Division, Berkeley, CA, United States
A Python-based script for coupling SWMM and EFDC models (508916)
Lujun Zhang1, Zhongwen Yang2, Tiantian Yang1, Mingdong Sun2, Yan Chen2 and Lu Wang2, (1)The University of Oklahoma, Norman, OK, United States, (2)CRAES Chinese Research Academy of Environmental Sciences, Beijing, China
The Spatial Patterns of Hot and Cold Skin-temperature Extremes Across the World and Their Corresponding Diurnal Variability Based on Satellite Observations (510303)
Yunxia Zhao, University of California, Department of Civil and Environmental Engineering, Irvine, United States and Amir AghaKouchak, University of California, Irvine, Civil and Environmental Engineering, Irvine, CA, United States
Estimation of Streamflow into Lake in a Representative Data-scarce Lake Basin in the Ordos Endorheic Region in the Yellow River Basin, China (511278)
Kang Liang1, Liu Changming1, Guozhen Yan2 and Huajun Lou1, (1)Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China, (2)College of Forestry, Beijing Forestry University, Beijing, China
Drought Variability and Trends over the Conterminous United States over the Past Century (513558)
Lu Su1, Qian Cao1, Mu Xiao1, Dennis P Lettenmaier1, Dongyue Li1, Michael Barlage2 and David M Mocko3, (1)University of California Los Angeles, Los Angeles, CA, United States, (2)National Center for Atmospheric Research, Boulder, CO, United States, (3)NASA Goddard Space Flight Center (SAIC), Greenbelt, MD, United States
A two-stage surrogate modeling-based parameter optimization for the Variable Infiltration Capacity model (514719)
Haiting Gu1, Yue-ping Xu2, Li Liu1, Suli Pan1 and Zhixu Bai1, (1)Zhejiang University, Hangzhou, China, (2)Zhejiang University, Institute of Hydrology and Water Resources, Hangzhou, China
Many-objective Shuffled Complex-Self Adaptive Hybrid EvoLution (MSC-SAHEL): A flexible optimization framework for water-energy systems (527831)
Matin Rahnamay Naeini1, Tiantian Yang2, Bita Analui1, Vesta Afzali Gorooh3, Mojtaba Sadeghi1, Ahmad A Tavakoly4, Stephen J Turnbull5, Kuo-lin Hsu1 and Soroosh Sorooshian6, (1)University of California Irvine, Irvine, CA, United States, (2)The University of Oklahoma, Norman, OK, United States, (3)University of California Irvine, Civil and Environmental Engineering, Irvine, CA, United States, (4)US Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, Vicksburg, MS, United States, (5)US Army Corps of Engineers, Engineer Research and Development Center, Coastal and Hydraulics Laboratory, US Army, Vicksburg, MS, United States, (6)Univ California Irvine, Irvine, CA, United States
Using a deep learning model for improving rainfall retrieval from commercial microwave links (531903)
Jayaram Pudashine1, Adrien Guyot2, Valentijn R N Pauwels2, Alan Seed3, Remko Uijlenhoet4, Mahesh Prakash5 and Jeffrey P Walker2, (1)Monash University, Melbourne, VIC, Australia, (2)Monash University, Melbourne, Australia, (3)Bureau of Meteorology, Melbourne, VIC, Australia, (4)Wageningen University and Research, Hydrology and Quantitative Water Management Group, Wageningen, Netherlands, (5)CSIRO, Melbourne, VIC, Australia
A machine-learning based surrogate model for distributed hydrological simulation (537186)
Shuyu Yang, Tsinghua University, Department of Hydraulic Engineering, Beijing, China, Dawen Yang, Tsinghua University, State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Beijing, China and Jinsong Chen, Lawrence Berkeley National Lab, Berkeley, CA, United States
Improving the performance of transnational water-energy systems through the use of seasonal rainfall forecasts: a case study in the Mekong River basin (539446)
Thanh Duc Dang1, A.F.M. Kamal Chowdhury1, Paul J Block2 and Stefano Galelli1, (1)Singapore University of Technology and Design, Pillar of Engineering Systems and Design, Singapore, Singapore, (2)University of Wisconsin Madison, Department of Civil and Environmental Engineering, Madison, WI, United States
An Integrated Hydrologic Modeling Framework:Case Study, the Ethiopian Grand Renaissance Dam (GERD) (545137)
Ahmad A Tavakoly1,2, Jane McKee Smith3, Amy McNally4, Christa D Peters-Lidard5, Kristi R Arsenault6, Augusto Getirana7 and Mark Wahl2, (1)University of Maryland, Earth System Science Interdisciplinary Center, College Park, MS, United States, (2)US Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, Vicksburg, MS, United States, (3)ERDC, Vicksburg, MS, United States, (4)University of California Santa Barbara, Santa Barbara, CA, United States, (5)NASA GSFC, Greenbelt, MD, United States, (6)SAIC, Greenbelt, MD, United States, (7)NASA Goddard Space Flight Center, Greenbelt, MD, United States
A Field Intercomparison of 3 Sediment Sensors that Measure Suspended Sediments: LISST-200X, LISST-ABS and LISST-SL2 (550012)
Wayne H Slade1, Ole Aarup Mikkelsen1, Yogesh C Agrawal1, Randy Srnsky1 and Christopher A Curran2, (1)Sequoia Scientific, Inc., Bellevue, WA, United States, (2)U.S. Geological Survey, Washington Water Science Center, Tacoma, WA, United States
Extending a Flood Forecasting Framework to Enhance Its Capacity of Flood Inundation Mapping (559934)
Xiangyu Luo, University of Oklahoma Norman Campus, Norman, OK, United States, Mengye Chen, The University of Oklahoma, Norman, OK, United States and Yang Hong, University of Oklahoma, Norman, OK, United States
Quality control of crowdsourced rainfall data with multiple noises: a machine learning approach (561733)
Geng Niu, Peking University, Beijing, China, Pan Yang, The Hong Kong University of Science and Technology, Urbana, IL, United States, Yi Zheng, Southern University of Science and Technology, Shenzhen, China and Ximing Cai, University of Illinois at Urbana Champaign, Department of Civil and Environmental Engineering, Urbana, IL, United States
The Collison Floating Evaporation Pan: An Accurate In-situ Open-Water Evaporation Monitoring Method (563457)
Jacob Collison1, Mark C Stone1 and Dagmar Llewellyn2, (1)University of New Mexico Main Campus, Department of Civil Engineering, Albuquerque, NM, United States, (2)Bureau of Reclamation, Albuquerque, NM, United States
The Dynamics of the Uncertainty and Parameter Sensitivity in Modeling Semi-arid Systems. (569254)
Menberu B. Meles, Agricultural Research Services, USDA, Tucson, AZ, United States, David C Goodrich, Agricultural Research Service, Tucson, AZ, United States, Hoshin Gupta, University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States and Ian S Burns, University of Arizona, Tucson, AZ, United States
Alternative parameter estimation method of extreme value copula model for skewed hydro-meteorological data (578510)
Kyungwon Joo, Yonsei University, Seodaemun, Korea, Republic of (South), Joohyung Lee, Yonsei University, Seoul, South Korea, Hanbeen Kim, Yonsei University, School of Civil and Environmental Engineering, Seoul, Korea, Republic of (South) and Jun-Haeng Heo, Yonsei University, Department of Civil & Environmental Engineering, Seoul, Korea, Republic of (South)
Impact of Climate Change in Himalayan River Hydrology in Nepal (592548)
Suresh Marahatta1, Deepak Aryal2, Laxmi P Devkota3, Mohammad Fahimuddin4, Rijan Bhakta Kayastha5, Rakesh Kayastha5, Sunil Pokharel6 and Joshan Maharjan7, (1)Tribhuvan University, Kathmandu, Nepal, (2)Tribhuvan University, Central Department of Hydrology and Meteorology, Kathmandu, Nepal, (3)Nepal Academy of Science and Technology (NAST), Kathmandu, Nepal, (4)Independent Water Resources Expert, Delhi, India, (5)Kathmandu University, Dhulikhel, Nepal, (6)Government of Nepal, Department of Hydrology and Meteorology, Kathmandu, Nepal, (7)Pokhara University, Dhulikhel, Nepal
Peak-Flow Determination for a Road-Stream Crossing Decision Support Tool (598154)
Josephine A Archibald1,2, Todd Walter1, Brian Buchanan1 and Rebecca Marjerison1, (1)Cornell University, Biological and Environmental Engineering, Ithaca, NY, United States, (2)Humboldt State University, Environmental Resources Engineering, Arcata, CA, United States
Using Satellite-based Observations to Investigate the Soil Moisture - Precipitation Relationship (600108)
Jingjing Li, California State University Los Angeles, Department of Geosciences and Environment, Los Angeles, CA, United States, Robin Sehler, California State University, Los Angeles, Department of Geosciences and Environment, Los Angeles, United States, John T Reager II, Jet Propulsion Laboratory, Pasadena, CA, United States and Hengchun Ye, California St Univ Los Angeles, Los Angeles, CA, United States
A novel numerical modelling of well-aquifer response induced by seismic waves (600896)
Yixuan Xing, University of Goettingen, Faculty of Geoscience and Geography, Göttingen, Germany, Rui Hu, Hohai University, School of Earth Science and Engineering, Nanjing, China, Hongbiao Gu, Institute of Disaster Prevention, School of Ecology and Environment, Beijing, China, Quan Liu, Georg-August-Universitaet Goettingen, Applied Geology, Göttingen, Germany and Thomas Ptak, Georg August University Goettingen, Goettingen, Germany
Estimation of Quantile Using Regional Scaling Model in North Korea (609385)
Younghun Jung1, Hyunjun Ahn2, Sunghun Kim1 and Jun-Haeng Heo2, (1)Yonsei University, Seoul, Korea, Republic of (South), (2)Yonsei University, Department of Civil & Environmental Engineering, Seoul, Korea, Republic of (South)
CHRS iRain, System with PERSIANN-Dynamic Infrared-Rain rate (PDIR) Data for Global Real-time Precipitation Observations (627821)
Megan Ani Mirkhanian1, Phu Nguyen1, Eric Jay Shearer1, Soroosh Sorooshian1, Thanh Palacios1, Dan Braithwaite1, Kuo-lin Hsu1 and William S Logan IV2, (1)University of California Irvine, Irvine, CA, United States, (2)U.S. Army Corps of Engineers, Alexandria, VA, United States
