Cibin Raj, Ph.D.

Teaching

• BE 307: Principles of Soil and Water Engineering (3)
• BE 487: Watershed Modeling for Water Quality Design (3)
• ABE/CE 587: Computational Ecohydrology (3)

For information about courses please visit the LionPATH Course Catalog.

Publications

1. Cibin, R., Trybula E, Chaubey I., Brouder S., Volenec J. (2016), Watershed scale impacts of bioenergy crops on hydrology and water quality using improved SWAT model. GCB Bioenergy. (DOI: 10.1111/gcbb.12307)
2. Liu, Y., Cibin, R., Bralts, V. F., Chaubey I., Engel B. (2016). Optimal selection and placement of BMPs and LID practices with L-THIA-LID 2.1 model. Environmental Modelling and Software 80: 281–296 (doi:10.1016/j.envsoft.2016.03.005)
3. Wang R, Bowling LC, Cherkauer KA, Cibin R, Her Y, Chaubey I, (2016) Biophysical and hydrological effects of future climate change including trends in CO2, in the St. Joseph River watershed, Eastern Corn Belt. (http://dx.doi.org/10.1016/j.agwat.2016.09.017)
4. Cibin, R., Chaubey, I. (2015). A computationally efficient framework for watershed scale spatial optimization. Environmental Modelling and Software (DOI: 10.1016/j.envsoft.2014.12.014)
5. Athira, P., Sudheer, K. P., Cibin R., Chaubey, I. (2015). Predictions in ungauged basins: an approach for regionalization of hydrological models considering the probability distribution of model parameters. Stochastic Environmental Research and Risk Assessment (10.1007/s00477-015-1190-6)
6. Her Y, Cibin R, Chaubey I. (2015) Application of Parallel Computing Methods for Improving Efficiency of Optimization in Hydrologic and Water Quality Modeling.  Applied Engineering in Agriculture 31(3): 455-468. (doi: 10.13031/aea.31.10905)
7. Feng, Q., Chaubey I., Her Y., Cibin R, Engel B., Volenec J., Wang X. (2015). Hydrologic/water quality impacts and biomass production potential on marginal land. Environmental Modelling and Software 72: 230–238. (doi:10.1016/j.envsoft.2015.07.004)
8. Trybula E, Cibin R., Burks J., Chaubey I., Brouder S., and Volenec J. (2014). Perennial rhizomatous grasses as bioenergy feedstock in SWAT: parameter development and model improvement. GCB Bioenergy (doi: 10.1111/gcbb.12210)
9. Kasiviswanathan, K.S, Cibin R, Sudheer, K. P, and Chaubey, I (2013). Constructing prediction interval for artificial neural network rainfall runoff models based on ensemble simulations. Journal of Hydrology 499: 275–288 (http://dx.doi.org/10.1016/j.jhydrol.2013.06.043)
10. Cibin R., Athira, P., Sudheer, K. P., Chaubey, I. (2013). An effective approach to minimize predictive uncertainty of distributed hydrological models for their application in ungauged basin. Hydrological Processes. (DOI: 10.1002/hyp.9721)
11. Gramig B M., Reeling C J., Cibin R, Chaubey I, (2013). Environmental and economic tradeoffs in a watershed when using corn stover for bioenergy. Environmental Science and Technology (http://dx.doi.org/10.1021/es303459h)
12. Hoque Y M., Cibin R., Hantush M M., Chaubey I., Govindaraju, R.S (2013) How Do Land-Use and Climate Change Affect Watershed Health? A Scenario-Based Analysis. Water Quality, Exposure and Health (10.1007/s12403-013-0102-6)
13. Cibin, R., Chaubey I., Engel B. (2012). Watershed scale impacts of corn stover removal for biofuel on hydrology and water quality. Hydrological Processes. 26: 1629–1641. DOI: 10.1002/hyp.8280.
14. Cibin, R., Sudheer, K. P. Chaubey, I. (2010). Sensitivity and Identifiability of stream flow generation parameters of the SWAT model. Hydrological Processes. Vol24 (9), 1133–1148 DOI:10.1002/hyp.7568, 2010
15. Athira, P., Cibin, R., Sudheer, K. P. (2010). A Multi-criterion Based Approach to Quantify Predictive Uncertainty of Distributed Hydrologic Models When Applied to Ungauged Basins. Advances in Geosciences, Hydrologic Sciences 23:75-84.