Shalamu Abudu, Ph.D.
Dr. Shalamu Abudu is a Postdoctoral Research Associate in the Hydrogeology and Water Resources research program at the Texas A&M AgriLife Research Center at El Paso, Texas A&M University System. He has more than 20 years of research experience in the areas of irrigation, hydrology and water resources engineering. His research program specializes in statistical hydrology, evapotranspiration, streamflow forecasting, hydrological modeling, irrigation and drainage engineering, geographic information systems and remote sensing applications in water resources systems. Current research covers broad areas of water resources engineering including river modeling using RiverWare, Snowmelt runoff modeling in the arid regions using GIS and remote sensing, groundwater and surface water interaction modeling using MODFLOW and RiverWare, and development of new irrigation techniques and equipment in arid regions. He serves as reviewer of several peer reviewed journals internationally and is the recipient of many awards for his research work. He registered more than 25 patents for the development of new irrigation techniques and equipment. Dr. Shalamu received his Ph.D. in Water Resources Engineering with minors in Geographical Information Systems (GIS) and Experimental Statistics from New Mexico State University in 2009. Prior to joining TAMU, Dr. Shalamu worked at New Mexico State University as a postdoctoral researcher and Xinjiang Water Resources Research Institute as a Research Professor.
Sabzi, H.Z., Humberson, D., Abudu, S. and King, J.P. (2016). “Optimization of adaptive fuzzy logic controller using novel combined evolutionary algorithms, and its application in Diez Lagos flood controlling system, Southern New Mexico”, Expert Systems with Applications, 43, 154-164.
Abudu, S., Z. Sheng, C. Cui, and D. Guan. (2014). The karez system in China’s Xinjiang Region, in John Calabrese (ed.), Harvesting Water and Harnessing Cooperation: Qanat Systems in the Middle East and Asia, Middle East-Asia Project (MAP), January 18, 2014, available at: http://www.mei.edu/content/harvesting-water-and-harnessing-cooperation-qanat-systems-middle-east-and-asia..
Sheng, Z., Fox, G., and Abudu, S. (2013). “Special Section on Interconnection of Atmospheric Water, Surface Water, and Groundwater”. Journal of Hydrologic Engineering 18 (10), 1191-1192.
Danierhan, S., Abudu, S., Tumaerbay, H., and Guan, D. (2013) “Effects of emitter discharge rates on soil salinity distribution and cotton (G. hirsutum L.) yield under drip irrigation with plastic mulch in arid region of Northwestern China”, J Arid Land (2013) 5(1): 51−59, doi: 10.1007/s40333-013-0141-7, jal.xjegi.com; www.springer.com/40333
Danierhan, S., Abudu, S., and Guan, D. (2013). “A Coupled GSI-SVAT Model with Groundwater-Surface water Interaction in the Riparian Zone of Tarim River”, Journal of Hydrologic Engineering, 18 (10), 1211-1218.
Abudu, S., Cui, C., Muattar, S. and King J. P. (2012). “Application of Snowmelt Runoff Model (SRM) in Snow-Dominated Basins: A Review”, Water Science and Engineering, 2012, 5(2), 123-136.
Abudu, S., King, J. P. and Sheng, Z. (2012), “Comparison of the Performance of Statistical Models in Forecasting Monthly Total Dissolved Solids in the Rio Grande”. JAWRA Journal of the American Water Resources Association, 48(1), 10-23.
Abudu, S., Cevik, S. Y., Bawazir, A., King, J. P. and Cui C. (2011). “Vitality of Ancient Karez Systems in Arid Lands: A Case Study in Turpan Region of China”, Water History, 3(3), 213-225.
Peng, S., Hou, H., Xu, J., Mao, Z., Abudu, S. and Luo, Y. (2011). “Nitrous oxide emissions from paddy fields under different water managements in southeast China”, Paddy and Water Environment, 9(4), 403-411.
Abudu, S., King, J. P., and Bawazir, S. (2011) “Forecasting Monthly Streamflow of Spring-Summer Runoff Season in Rio Grande Headwaters Basin Using Stochastic Hybrid Modeling Approach”, Journal of Hydrologic Engineering, 16 (4), 384-390.
Abudu, S., Cui, C., King, J. P, Moreno, J., and Bawazir, A. (2011). “Modeling of Daily Pan Evaporation Using Partial Least Squares Regression”, Science in China. Series E, Technological sciences, 54, 163-174.
Abudu, S., Cui, C., King J. P. and Abudukadeer, K. (2010). “Comparison of the Performance of Statistical Models in Forecasting Monthly Streamflow in the Kizil River, China”, Water Science and Engineering, 2010, 3(3), 269-281.
Moreno, J., Abudu, S., Bawazir, A., and King, J. P. (2010). Comment on ‘Kisi O. Daily pan evaporation modeling using multi-layer perceptrons and radial basis neural networks. Hydrological Processes 23, 213–223’, Hydrol. Process. 24, 3115-3118.
Abudu, S., King, J. P., and Pagano, T. (2010). “Application of Partial Least Squares Regression in Seasonal Streamflow Forecasting”, Journal of Hydrologic Engineering, 15(8), 612-623.
Abudu, S., Bawazir, A. and King, J. P. (2010). “Infilling Missing Daily Evapotranspiration Data Using Neural Networks”, Journal of Irrigation and Drainage Engineering, 136(5), 317-325.