Machine Learning and Climate Change Analysis for Land and Water

Moderator(s)

• 

  Vamsi Krishna Sridharan, M.ASCE

  Senior Environmwntal Scientist
  Tetra Tech, New Jersey, United States

Presentations:

• 4:45 PM – 5:00 PM Alaska Daylight Time (AKDT)

  The Impact of Climate Change on Soil Water Content with Considering Machine-Learning Methods as a Downscaling Tool
  

  Author: Atieh Hosseinizadeh (she/her/hers) – Morgan State University

  Co-Author: Zhuping Sheng, Ph.D. – Morgan State University

  Co-Author: Yi Liu, N/A, D.Eng. – Morgan State University
• 5:00 PM – 5:15 PM Alaska Daylight Time (AKDT)

  Enhancing Watershed Prioritization Using an Automated Machine Learning Approach
  

  Author: Vivek Hosahalli Narayana Reddy (he/him/his) – Waggoner Engineering

  Author: Pandiyan Kesavan – Waggoner Engineering

  Author: Jejal Reddy Bathi – The University of Tennessee at Chattanooga
• 5:15 PM – 5:30 PM Alaska Daylight Time (AKDT)

  Leveraging Deep-Learning Models and Large-Sample Hydrologic Datasets for Investigating Physical and Climatic Drivers of Rainfall-Runoff Process Heterogeneity at the Watershed Scale
  

  Author: Francesco Dell'Aira – University of Memphis

  Co-Author: Claudio I. Meier – The University of Memphis
• 5:30 PM – 5:45 PM Alaska Daylight Time (AKDT)

  Assessment of CMIP6 in Representing Precipitation Patterns in Peru
  

  Author: Angela M. Peralta (she/her/hers) – Pontificia Universidad Católica del Perú

  Co-Author: Miguel Angel Astorayme – Pontificia Universidad Católica del Perú

  Co-Author: Ronald Gutierrez – Universidad Nacional de Ingeniería