Feng Peng
Papers
2
Total Citations
43
H-Index
2
About
Feng Peng’s research focuses on water quality modeling, turbidity dynamics, and the application of robotic monitoring systems in freshwater ecosystems. His major contributions include the development of a two-dimensional hydrothermal and transport model to simulate turbidity in Ashokan Reservoir, New York—a critical tool for managing water clarity problems caused by runoff-driven terrigenous particles. This work, published in 2009, has garnered 35 citations and serves as a case study for reservoir management. Peng also pioneered the use of robotic monitoring to assess turbidity patterns in Onondaga Lake, NY, a eutrophic urban lake, using five years of high-resolution data to link turbidity with hydrodynamic and metabolic processes. His 2006 study, with 8 citations, demonstrated the diagnostic value of such data for estimating water clarity. Peng’s work bridges engineering and limnology, offering practical solutions for water quality challenges. His achievements highlight the power of integrating field monitoring with numerical modeling, making him a notable figure in environmental water research.
Research Focus
Key Achievements
Top Papers
- 1Turbidity Model for Ashokan Reservoir, New York: Case Study35 citations · 2009
- 2