µÛÍõ»áËù

Search within:

Daniel Che

Daniel Che
Associate Professor
Stocker Center 216

Danny Che joined the Department of Civil Engineering in 2016. He teaches courses in water resources engineering and fluid mechanics. Che’s research primarily focuses on using computational optimization models to determine optimal designs of hydraulic structures and operation of water resource infrastructures. Before joining µÛÍõ»áËù, Che worked as a water resources engineer at Atkins North America, Inc., where he specialized in writing python codes for automating high-resolution hydrologic and hydraulics (H&H) model development and simulations. Che has worked on projects for Mohave County, Lake Havasu City, Maricopa County, and Riverside County; the findings of these projects were presented to state and federal agencies in order to determine new flood hazard areas and develop emergency plans in those regions. He has served as the Principal Investigator of several hydraulic research projects for µÛÍõ»áËù Department of Transportation, General Mills, and the National Academies of Sciences, Engineering, and Medicine.

Research Interests: real-time rainfall and flood forecasting, real-time optimal operation of river-reservoirs systems, interfacing simulation and optimization models for urban water resources management, optimization models for sustainable water resources solutions in urban areas, machine learning application in water resources engineering

All Degrees Earned: Ph.D., Civil Engineering, Arizona State University, 2015; M.S.E., Civil Engineering, Arizona State University, 2011; B.S.E., Civil Engineering, Arizona State University, 2009

Awards:

2023 White Departmental Research Award
2022 White Departmental Teaching Award
2021 White Departmental Teaching Award
2017 Russ Outstanding Teaching Award

Something you may not know about me: I love Game of Thrones!

Journal Article, Academic Journal (11)

  • Hammond, C., Kareem, M., Bradford, S., Che, D., Sharma, S., Wu, L. (2024). Predicting a Wide Range of Fractal Dimensions of Salt-Induced Aggregates in Water Using a Random Forest Model. 45. Langmuir; 40: 23606-23615. .
  • Tahiri, A., Che, D., Ladeveze, D., Chiron, P., Archmede, B. (2022). Network flow and flood routing model for water resources optimization. 3937. Scientific Reports; 12: .
  • Haidar, M., Che, D., Mays, L. (2022). Sustainable Water Allocation in Umarkhed Taluka through Optimization of Reservoir Operation in the Wardha Sub-Basin, India. 1. Basel: Water; 14: 114. .
  • Salih, H., Mays, L., Che, D. (2022). Application of an Optimization/Simulation Model for the Real-Time Flood Operation of River-Reservoir Systems with One- and Two-Dimensional Unsteady Flow Modeling. 1. Basel: Water; 14: 87. .
  • Mounir, A., Che, D., Cesar, G., Agustin, R. (2019). Development of a Reservoir System Operation Model for Water Sustainability in the Yaqui River Basin. 9. Reston, VA: Journal of Water Resources Planning and Management; 145: .
  • Che, D., Mays, L. (2017). Application of an Optimization/Simulation Model for Real-Time Flood Control Operation of River-Reservoir Systems. 7. Water Resources Management Journal; 31: 2285-2297. .
  • Stafford, N., Che, D., Mays, L. (2015). Optimization Model for the Design of Infiltration Basins. 8. Water Resources Management; 29: 2789-2804. .
  • Che, D., Mays, L. (2015). Development of an Optimization/Simulation Model for Real-Time Flood-Control Operation of River-Reservoirs Systems. 11. Water Resources Management; 29: 3987-4005. .
  • Moura, A., Che, D., Mayer, A., Vivoni, E. (2014). Hydrologic Assessment of Proposed Reservoirs in the Sonora River Basin, Mexico, under Historical and Future Climate Scenarios. 1. Hydrological Science Journal; 60: 50-66. .
  • Che, D., Nangare, M., Mays, L. (2014). Determination of Clark's Unit Hydrograph Parameters for Watersheds. 2. Reston, VA: Journal of Hydrologic Engineering; 19: 384-387. .
  • Che, D., NanGare, M., Mays, L. (2014). Determination of Optimal Unit Hydrographs and Green-Ampts Parameters for Watersheds. 2. Reston, VA: Journal of Hydrologic Engineering; 19: 375-383. .

Book, Chapter in Scholarly Book (1)

  • Albo-Salih, H., Mays, L., Che, D. (2022). Real-Time Operation of Reservoirs during Flood Conditions Using Optimization-Simulation with One- and Two-Dimensional Modeling. CRC Press; 287-310. .

Conference Proceeding (2)

  • Che, D., Mays, L. (2015). A Real Time Optimization/Simulation Model for River-Reservoir Systems. Sanford, AZ: Arizona Floodplain Management Association Fall 2015 Conference.
  • Che, D., Nangare, M., Mays, L. (2011). Optimal Determination of Unit Hydrograph and Loss Parameters using Nonlinear Programming Model. Tucson, AZ: Arizona Floodplain Management Association Spring 2011 Conference.

Conference, Poster (16)

  • Che, D., Kareem, M., Bricker, J., Kim, T. (2024). Experimental Investigation of Rock Channel Design Procedures using Scaled Modeling in Laboratory Flumes at µÛÍõ»áËù and University of Michigan. Washington, D.C.: American Geophysical Union Fall Meeting 2024.
  • Gebremedhin, T., Nguyen, H., Ngo, L., Ngo, L., Che, D., Ranzi, R. (2024). Improving Multi-Reservoir Management in the Red River Basin, Vietnam: An Integrated Simulation and Advanced Optimization Framework. Washington, D.C.: American Geophysical Union Fall Meeting 2024.
  • Che, D., Kareem , M. (2024). Predicting Optimal Rock Channel Protection Length Using a Support Vector Machine Model. Washington, D.C.: American Geophysical Union Fall Meeting 2024.
  • Kareem, M., Che, D. (2023). Hydrologic and Hydraulic Assessment of Environmental Flows for Sustainable Hydropower Development: A Case Study of Indus River at Ghazi Barrage. San Francisco, CA: American Geophysical Union Fall Meeting 2023.
  • Kruse Daniels, N., Sapkota, B., Che, D. (2022). Assessment and Prioritization of Culverts for Enhanced Fish Passage. Chicago: American Geophysical Union Fall Meeting 2022.
  • Sapkota, B., Che, D., Moura, A. (2022). Development of an Integrated Optimization Model for Sustainable Transboundary Water Resources Management in Northern Mexico. Chicago, IL: American Geophysical Union Fall Meeting 2022.
  • Kruse Daniels, N., Che, D., Saptoka, B. (2022). Assessment of Prioritization of Culverts for Enhanced Fish Passage. Youngstown State University : µÛÍõ»áËù River Basin Consortium for Research and Education (ORBRE) Symposium 2022.
  • Sapkota, B., Che, D. (2022). Assessment and Prioritization of Culverts for Enhanced Fish Passage. Cleveland, µÛÍõ»áËù: Society of Ecological Restoration Midwest Great Lake Chapter Annual Meeting, 2022.
  • Haidar, M., Che, D. (2021). Sustainable Water Allocation in Umarkhed Taluka through Optimization of Reservoir Operation in the Wardha Sub-basin, India . New Orleans: American Geophysical Union Fall Meeting 2021.
  • Haider, M., Myers, E., Che, D. (2020). Sustainable Water Allocation Projection in Yavatmal District through Optimization of Reservoir Operation in the Warda-Penganga Sub-Basin, India. American Geophysical Union Fall Meeting 2020.
  • Capuano, J., Che, D. (2019). Optimization Model for the Selection and Placement of Green Infrastructure for Runoff Control and Pollutant Removal. San Francisco, CA: American Geophysical Union Fall Meeting 2019.
  • Capuano, J., Che, D. (2019). Optimization Model for the Selection and Placement of Green Infrastructure for Runoff Control and Pollutant Removal. Athens, OH: µÛÍõ»áËù River Consortium for Research and Education.
  • Tahiri, A., Che, D., Ladeveze, D., Chiron, P., Archmede, B. (2018). Flood Routing Model for Water Resources Optimization Algorithms. Washington, D.C.: American Geophysical Union Fall Meeting 2018.
  • Monuir, A., Che, D. (2017). Development of a Reservoir System Operation Model for Water Sustainability in the Yaqui River Basin. New Orleans, LA: American Geophysical Union Fall Meeting 2017.
  • Mounir, A., Che, D. (2017). Development of a Reservoir System Operation Model for Water Sustainability in the Yaqui River Basin. Marshall University, Huntington, WV: µÛÍõ»áËù River Consortium for Research and Education.
  • Che, D., Robles-Moura, A., Mayer, A., Vivoni, E. (2012). Water Resources Sustainability in Northwest Mexico: Analysis of Regional Infrastructure Plans under Historical and Climate Change Scenarios . San Franscisco: American Geophysical Union Fall Meeting 2012.

Online Article (1)

  • Che, D., Brickler, J., Khoury, I., Kim, T., Kareem, M., Carpenter , J., White, K. (2024). Verification of ODOT Rock Channel Design Procedures. 23. AASHTO Technical Committee on Hydrology and Hydraulics Hydrolink.

Report (1)

  • Kruse Daniels, N., Bowman, J., Sullivan, N., Mackey, A., Che, D., Sapkota, B. (2022). Division of Planning Research On-Call Task #8 – Assessment and Prioritization of Culverts for Enhanced Fish Passage.

Research Report (5)

  • Che, D., Bricker, J., Khoury, I., White, K., Mahabadi, N., Kim, T., Kareem, M., Armin, S., McCarthy, J. (2024). Verification of ODOT Rock Channel Design Procedures . Columbus: µÛÍõ»áËù Department of Transportation ; 64.
  • Che, D., Khoury, I., White, K., Reshma, F., Pashtun, M. (2024). Design and Construction of Temporary Facilities in Streams and Rivers: Hydraulic and Hydrologic Engineering Considerations and Practices. Washington, DC: National Academies of Sciences, Engineering, and Medicine; 108. .
  • Che, D., Khoury, I., White, K., Rothwell, D. (2022). Efficient and Effective Ways to Manage Water through ODOT’s Temporary Fills during Construction. Columbus, OH: The µÛÍõ»áËù Department of Transportation .
  • Che, D., White, K., Narsavage, P., Khoury, I., Rothwell, D. (2022). Scour Prediction Tools. Columbus, OH: The µÛÍõ»áËù Department of Transportation .
  • Kruse-Daniels, N., Bowman, J., Sullivan, N., Mackey, A., Che, D., Sapkota, B. (2022). Assessment and Prioritization of Culverts for Enhanced Fish Passage. Columbus, OH: The µÛÍõ»áËù Department of Transportation .