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Fang Research Group
Fang Research Group
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    • Dr. Fang’s Research
    • Research Members
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    • Curriculum Vitae
  • RESEARCH
    • Agriculture Collaboration Study
    • Dynamic Moving Storms
    • Flood Alert Systems
    • Hydrologic Statistics
    • Loss Rate Study
    • Machine Learning
    • Subsidence and Sea Level Rise Study
    • UAV Infiltration
    • Water Resources Review and Research
    • RAS-SONIC
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RAS SONIC Versions

RAS-SONIC Version 1.0 – HEC-RAS 6.3.1/Python 3.9/.net 6.0
RAS-SONIC Version 2.0 – HEC-RAS 6.7/Python 3.9/.net 6.0

Cite:
Asim Paudel, Dongfeng Li, & Zheng N. Fang. (2025). RAS2SONIC: HEC-RAS Seasonal or Non-stationary Integrated Calibration Package for 2D with Machine Learning Features. Environmental Modelling and Software, In Review.

Research Areas

  • Agriculture Collaboration Study
  • Dynamic Moving Storms
  • Flood Alert Systems
  • Hydrologic Statistics
  • Loss Rate Study
  • Machine Learning
  • Subsidence and Sea Level Rise Study
  • UAV Infiltration
  • Water Resources Review and Research

Prospective Group Members

As a premiere research group, the goal of Fang Research Group and our success involves performing world-class research.

All members of Fang Research Group make our research one of their top priorities and look forward to our continued achievements.

Phone: (817) 272-5334  
Email: nickfang@uta.edu
Address: 
P.O. Box 19308
Room 431, Nedderman Hall
Arlington, TX 76019-0308

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