Engineering / Method Development is one of more than 16 discipline tags that we use to categorize and aggregate our interdisciplinary information within and across CZOs. Much of our information has been tagged with 2-3 disciplines.
PhD student, University of Illinois, Civil and Environmental Engineering
No datasets with this discipline tag have been entered yet
Temporal Information Partitioning Networks (TIPNets): A Process Network Approach to Infer Ecohydrologic Shifts. Goodwell, A.E. and Kumar, P. (2017): Water Resources Research
Temporal Information Partitioning: Characterizing Synergy, Uniqueness, and Redundancy in Interacting Environmental Variables. Goodwell, A.E., and Kumar, P. (2017): Water Resources Research 53, 2017
Understanding mass fluvial erosion along a bank profile: Using PEEP technology for Quantifying Retreat Lengths and Identifying Event Timing. Papanicolaou, A.N., Wilson, C.G., Tsakiris, A.G., Sutarto, T.E., Bertrand, F., Rinaldi, M., Dey, S., and Langendoen, E. (2017): Earth Surface Processes and Landforms
Characterizing Vegetation Canopy Structure Using Airborne Remote Sensing Data. Dutta, D., Wang, K., Lee, E., Goodwell, A., Woo, D.K., Wagner, D., and Kumar, P. (2016): IEEE Transactions on Geoscience and Remote Sensing
Decreasing, not increasing, leaf area will raise crop yields under global atmospheric change. Srinivasan, V., Kumar, P., and Long, S.P. (2016): Global Change Biology
GPU-based high-performance computing for integrated surface–sub-surface flow modeling. Le, P.V.V., Kumar, P., Valocchi, A.J., and Dang, H.-V. (2015): Environmental Modelling & Software
Prediction of Saturated Hydraulic Conductivity Dynamics in an Iowan Agriculture Watershed. Elhakeem, M., Papanicolaou, A.N., Wilson, C., and Chang, Y. (2014): International Journal of Biological, Veterinary, Agricultural, and Food Engineering
A stability analysis of semi-cohesive streambanks with CONCEPTS: Couple field and laboratory investigations to quantify the onset of fluvial erosion and mass failure. Sutarto, T.E., Papanicolaou, A.N., Wilson, C.G., and Langendoen, E. (2014): Journal of Hydraulic Engineering-ASCE
Wepp: Model use, calibration, validation. Flanagan, D.C., Frankenberger, J.R., and Ascough, J.C. (2012): Transactions of the American Society of Agricultural and Biological Engineering
The Agricultural BMP Handbook for Minnesota. Miller, T.P., Peterson, J.R., Lenhart, C.F., and Nomura, Y. (2012): Minnesota Department of Agricultural
Agricultural soil erosion and soil organic carbon (SOC) dynamics in the US Midwest: Bridging the knowledge gap across scales. Papanicolaou, A.N., Dermisis, D., Wacha, K., Abban, B., and Wilson C. (2011): The Geological Society of America Meeting
Evaluating the effects of grassed waterways in southeastern Iowa. Dermisis, D.O., Abaci, O., Papaniclaou, A.N., and Wilson, C.G. (2010): Soil and Use Management
Estimation of the runoff curve number via direct rainfall simulator measurements in the state of Iowa, USA. Elhakeem, M. and Papanicolaou, A.N. (2009): Water Resources Management
High-frequency diel dissolved Oxygen stream data modeled for variable temperature and scale. Loperfido, J.V., Just, C.L., and Schnoor, J.L. (2009): Journal of Environmental Engineering-ASCE 2009.135:1250-1256
In situ sensing to understand diel turbidity cycles, suspended solids, and nutrient transport in Clear Creek, Iowa. Loperfido, J.V., Just, C.L., Papanicolaou, A.N., and Schnoor, J.L. (2009): Water Resources Research 46:W06525
Soil quality in Clear Creek, IA: SOM loss and soil quality in the Clear Creek, IA, Experimental Watershed. Papanicolaou, A.N., Wilson, C.G., Abaci, O., Elhakeem, M., and Skopec, M. (2009): Journal of the Iowa Academy of Science 116(1–4):14–26
Upland erosion modeling in a semi-humid environment via the Water Erosion Prediction Project model. Papanicolaou, A.N. and Abaci, O. (2008): Journal of Irrigation and Drainage Engineering
A sediment composite fingerprinting tool: A field-based quantification method of the sediment origin within a water environment — A pilot study. Papanicolaou, A.N., Abaci, O., and Theregowda, R.B. (2006): Iowa Department of Natural Resources
Uncertainty of weekly nitrate forecasts using artificial neural networks. Markus, M., Tsai, C.W.-S., and Demissie, M. (2003): Journal of Environmental Engineering 129(3):267-274
10 Jan 2018 - Like river systems, engineered drainage networks become increasingly fractal as they grow.
21 Jun 2017 - Scientists obtain comprehensive view of agricultural ecosystems
23 Nov 2016 - A group of researchers at the University of Illinois have found a way to make soybeans more productive by reducing the number of leaves on each plant.
23 Nov 2016 - Scientists predict that modern soybeans produce more leaves than they need to the detriment of yield—made worse by rising atmospheric CO2.
25 Apr 2014 - IML-CZO Co-Director Thanos Papanicolaou recently won the ASCE's Rouse Hydraulic Engineering Award for his research and leadership.