Lifeng Yuan in front of a river basin landscape

Environmental Scientist | Hydrologic & Watershed Modeler

Lifeng Yuan

Watershed Hydrology · Environmental Modeling · Climate & Extreme Events · Environmental Data Science

Profile

Modeling environmental systems for practical decisions

I am an experienced Environmental Scientist with over 20 years of academic and professional expertise in environmental modeling, soil erosion, hydrology, agroecosystem, climate change impact analysis, and stormwater modeling.

My work combines advanced numerical models, machine learning, artificial intelligence, statistical analysis, and geospatial methods to explain complex environmental processes and support decision-making across government, research, and industry.

Full professional profile
20+
Years of expertise
50+
Peer-reviewed articles
20+
Conference presentations

Research areas

From rainfall to watershed response

Research profile
01

Watershed Hydrology & Modeling

SWAT, SWAT+, SWMM, process simulation, calibration, and high-performance computing.

02

Hydroinformatics & Machine Learning

Support vector regression, wavelet analysis, Python, R, and physics–data integration.

03

Climate Change & Agroecosystem Modeling

WEPP, CMIP, GCM ensembles, CLIGEN, storm intensification, crop yield, and soil loss.

04

Urban Stormwater & Contaminant Transport

SWMM and PCSWMM modeling for runoff, contaminant transport, and emergency response.

05

GIS & Remote Sensing

ArcGIS, DEM analysis, ERDAS, ENVI, spatial modeling, and Google Earth Engine.

Selected projects

Research designed for real-world use

All projects

U.S. EPA · 2021–2024

Stormwater Fate and Transport of Biological Contaminants

High-resolution SWMM development to simulate Bacillus anthracis transport across urban surfaces under multiple storm scenarios.

  • SWMM
  • Python
  • Emergency response

USDA-ARS · 2020–2021

Climate-Sensitive Agricultural Management and Erosion Prediction

WEPP and Python automation for evaluating crop yield and soil loss under storm intensification and alternative tillage systems.

  • WEPP
  • Climate
  • Soil erosion

U.S. EPA · 2017–2020

Advancing Streamflow Prediction with SWAT and Machine Learning

Hybrid SWAT–SVR and SWAT–Wavelet approaches for streamflow, sediment prediction, and watershed tool evaluation.

  • SWAT
  • Machine learning
  • Hydrology

Latest work

Recent publications

All publication list
  1. 2025

    Evaluating Parsivel²’s raindrop data: A comparative study of different terminal drop velocity models on simulated and natural rain events

    Yuan, Lifeng; Mikelonis, Anne M; Sawyer, Jonathan · Atmospheric Environment

  2. 2024

    Exploring the statistical characteristics of coastal winter precipitation measured using a Parsivel² disdrometer: A case study in North Carolina

    Yuan, Lifeng; Mikelonis, Anne M; Pirhalla, Michael · Atmospheric Research

  3. 2023

    Using SWMM for Emergency Response Planning: A Case Study Evaluating Biological Agent Transport Under Various Rainfall Scenarios and Urban Surfaces

    Yuan, Lifeng; Mikelonis, Anne M; Yan, Eugene · Journal of Hazardous Materials

  4. 2022

    Evaluating Monthly Flow Prediction Based on SWAT and Support Vector Regression Coupled with Discrete Wavelet Transform

    Yuan, Lifeng; Forshay, Kenneth J · Water

  5. 2022

    Modeling surface runoff and soil loss response to climate change under GCM ensembles and multiple cropping and tillage systems in Oklahoma

    Yuan, Lifeng; Zhang, X-C John; Busteed, Phillip; Flanagan, Dennis C; Srivastava, Anurag · Soil and Tillage Research

Collaboration & service

Interdisciplinary science across agencies and journals

Experience includes multi-agency collaboration with EPA, USDA, DHS, and the U.S. Coast Guard; proposal development; Quality Assurance Project Plans; project and technical review; and service as a journal reviewer and guest editor.

Professional service

Field & laboratory

  • Soil and water sampling design, surveys, analysis, and instrumentation
  • River and lake water-quality monitoring in the Poyang Lake region
  • Artificial rainfall and rill-erosion experiments with 3D laser scanning
  • Land-use investigations and aerial and satellite image interpretation

Connect

Interested in collaboration or research opportunities?

Get in touch