Publications

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Refereed Journal Articles

(1Post-Doc Advisee;    2Graduate/Undergraduate Student advisee/co-advisee)

[46]. Park1, J., S. Ale, and W.R. Teague. 2017. Simulated water quality effects of alternate grazing management practices at the ranch and watershed scales. Ecological Modeling. 360: 1-13.

[45]. Chen2, Y., S. Ale, N. Rajan, and C.L. Munster. 2017. Assessing the hydrologic and water quality impacts of biofuel-induced changes in land use and management. Global Change Biology – Bioenergy. doi: 10.1111/gcbb.12434.

[44]. Park1, J., S. Ale, W.R. Teague, and J. Jeong. 2017. Evaluating the ranch and watershed scale impacts of using traditional and adaptive multi-paddock grazing on runoff, sediment, and nutrient losses in North Texas. Agriculture, Ecosystems and Environment. 240: 32-44.

[43]. Park1, J., S. Ale, W.R. Teague, and S.L. Dowhower. 2017. Simulating hydrologic responses to alternate grazing management practices at the ranch and watershed scales. Journal of Soil and Water Conservation. 72(2): 102-121. doi:10.2489/jswc.72.2.102

[42]. Chen2, Y., S. Ale, and N. Rajan. 2016. Spatial variability of biofuel production potential and hydrologic fluxes of land use change from cotton (Gossypium hirsutum L.) to Alamo switchgrass (Panicum virgatum L.) in the Texas High Plains. BioEnergy Research. 9(4): 1126-1141.

[41]. Modala2, N.R., S. Ale, D. Goldberg, M. Olivares, C. Munster, N. Rajan and R. Feagin. 2016. Climate change projections for the Texas High Plains and Rolling Plains. Theoretical and Applied Climatology. doi: 10.1007/s00704-016-1773-2.

[40]. Adhikari1, P., S. Ale, J.P. Bordovsky, K. R. Thorp, N.R. Modala2, N. Rajan, and E.M. Barnes. 2016. Simulating future climate change impacts on seed cotton yield in the Texas High Plains using the CSM-CROPGRO-Cotton model. Agricultural Water Management.164:317-330.

[39]. Chen2, Y., S. Ale, N. Rajan, C.L.S. Morgan and J. Park. 2016. Hydrological responses of land use change from cotton (Gossypium hirsutum L.) to cellulosic bioenergy crops in the Southern High Plains of Texas, USA. Global Change Biology – Bioenergy. 8(5): 981-999. (Highlighted on the cover page and featured on GCB Bioenergy’s “Under the Covers”)

[38]. Modala2, N.R., S. Ale, N. Rajan, C. Munster, P.B. DeLaune, K. R. Thorp, S. Nair and E. Barnes. 2015. Evaluation of the CSM-CROPGRO-Cotton model for the Texas Rolling Plains region and simulation of deficit irrigation strategies for increasing water use efficiency. Transactions of the ASABE. 58(3): 685-696.

[37]. Jain2, S., S. Ale, C. Munster, J. Ansley and J. Kiniry. 2015. Simulating the hydrologic impact of Arundo Donax invasion on the Headwaters of the Nueces River in Texas. Hydrology. 2: 134-147.

[36]. Daggupati, P., N. Pai, S. Ale, K.R. Douglas-Mankin, R. Zeckoski, J. Jeong, P.B. Parajuli, Saraswat, D., and M.A. Youssef. 2015. A recommended calibration and validation strategy for hydrologic and water quality models. Transactions of the ASABE. 58(6): 1705-1719.

[35]. Saraswat, D., J.R. Frankenberger, N. Pai, S. Ale, P. Daggupati, K.R. Douglas-Mankin, and M.A. Youssef. 2015. Hydrologic and water quality models: Documentation and reporting procedures for calibration, validation and use. Transactions of the ASABE. 58(6): 1787-1797.

[34]. Chaudhuri1, S. and S. Ale, 2014. Evaluation of long-term (1960-2010) groundwater fluoride contamination in Texas. Journal of Environmental Quality. 43(4): 1404-1416.

[33]. Chaudhuri1, S. and S. Ale, 2014. Long-term (1930-2010) Trends in Groundwater Levels in Texas: Influences of Soils, Landcover and Water Use. Science of the Total Environment. 490: 379-390.

[32]. Thorp, K. R., S. Ale, M. P. Bange, E. M. Barnes, G. Hoogenboom, R. J. Lascano, A. C. McCarthy, S. Nair, J. O. Paz, N. Rajan, K. R. Reddy, G. W. Wall, and J. W. White. 2014. Development and application of process-based simulation models for cotton production: A review of past, present, and future directions. Journal of Cotton Science. 18: 10-47.

[31]. Chaudhuri1, S. and S. Ale, 2014. Lon-term (1960-2010) trends in groundwater contamination and salinization in the Ogallala aquifer in Texas, USA. Journal of Hydrology. 513: 376-390.

[30]. Chaudhuri1, S. and S. Ale, 2014. Temporal evolution of depth-stratified groundwater salinity in municipal wells in the major aquifers in Texas, USA. Science of the Total Environment. 472: 370-380.

[29]. Chaudhuri1, S. and S. Ale, 2014. An appraisal of groundwater quality in Seymour and Blaine aquifers in a major agro-ecological region in Texas, USA. Environmental Earth Sciences. 71(6): 2765-2777.

[28]. Ale, S., P.H. Gowda, D.J. Mulla, D.N. Moriasi, and M.A. Youssef 2013. Comparison of the performances of DRAINMOD-NII and ADAPT models in simulating nitrate losses from subsurface drainage systems. Agricultural Water Management. 129: 21-30.

[27]. Moriasi, D.N., P.H. Gowda, J.G. Arnold, D.J. Mulla, S. Ale, J.L. Steiner and M. D. Tomer 2013. Evaluation of the Hooghoudt and Kirkham tile drain equations in SWAT to simulate tile flow and nitrate-nitrogen. Journal of Environmental Quality. 42(6): 1699-1710.

[26]. Moriasi, D.N., P.H. Gowda, J.G. Arnold, D.J. Mulla, S. Ale and J.L. Steiner 2013. Modeling the impact of nitrogen fertilizer application and tile drain configuration on nitrate leaching using SWAT. Agricultural Water Management. 130: 36-43.

[25]. Chaudhuri1, S. and S. Ale, 2013. Characterization of groundwater resources in the Trinity and Woodbine aquifers in Texas. Science of the Total Environment. 452-453: 333-348.

[24]. Mirik, M., S. Chaudhuri1, B. Surber, S. Ale and R.J. Ansley, 2013. Detection of two intermixed invasive woody species using color infrared aerial imagery and support vector machine classifier. Journal of Applied Remote Sensing. 7 (073588):1-13. [doi: 10.1117/1.JRS.7.073588].

[23]. Mirik, M., S. Chaudhuri1, B. Surber, S. Ale and R.J. Ansley, 2013. Evaluating biomass of juniper trees (Juniperus pinchotii) from imagery-derived canopy area using the support vector machine classifier. Advances in Remote Sensing. 2(2):181-192.

[22]. Gowda, P.H., D.J. Mulla, V. Nangia and S. Ale, 2013. Scale effects of STATSGO and SSURGO on flow and water quality predictions. Journal of Water Resource and Protection. 5(3): 266-274.

[21]. Chaudhuri1, S., S. Ale, P. DeLaune and N. Rajan, 2012. Spatio-temporal variability of groundwater nitrate concentration in Texas: 1960 to 2010. Journal of Environmental Quality. 41(6): 1806-1817.

[20]. Ale, S., L.C. Bowling, M.A. Youssef and S.M. Brouder, 2012. Evaluation of simulated strategies for reducing nitrate loss through subsurface drains. Journal of Environmental Quality. 41(1): 217-228.

[19]. Ale, S., L. Bowling, P. Owens, S. Brouder and J. Frankenberger, 2012.  Development and application of a distributed modeling approach to assess the watershed-scale impact of drainage water management. Agricultural Water Management.107:23-33.

[18]. Kennedy, C.D., C. Bataille, Z. Liu, S. Ale, J. VanDeVelde, C. R. Roswell, L. C. Bowling, G. J. Bowen. 2012. Dynamics of nitrate and chloride during storm events in agricultural catchments with different subsurface drainage intensity (Indiana, USA). Journal of Hydrology. 466-467(2012): 1-10.

[17]. Mohan Rao2, B.V., M. Raghu Babu, S. Ale, T.V. Satyanarayana, and M. Madhava. 2011. Performance evaluation of subsurface drainage system at Appikatla drainage pilot area in Krishna Western Delta using DRAINMOD. The Andhra Agricultural Journal. 58 (4): 532-538.

[16]. Ale, S., L.C. Bowling, J.R. Frankenberger, S.M. Brouder and E.J. Kladivko, 2010. Climate variability and drain spacing influence on drainage water management system operation. Vadose Zone Journal. 9(1): 43-52.

[15]. Ale, S., L.C. Bowling, S.M. Brouder, J.R. Frankenberger and M.A. Youssef, 2009. Simulated effect of drainage water management operational strategy on hydrology and crop yield for Drummer soil in the Midwestern United States. Agricultural Water Management. 96(4): 653-665.

[14]. Naz, B.S., S. Ale, L.C. Bowling, 2009. Detecting subsurface drainage systems and estimating subsurface drain spacing in intensively-managed agricultural landscapes. Agricultural Water Management. 96(4): 627-637.

[13]. Ratnam, M., G.V. Lakshmi, G.K. Reddy, A. Srinivasulu and T.V. Satyanarayana, 2007. Performance of rice varieties under saline sodic soils of Konanki pilot area. The Andhra Agricultural Journal. 54(3&4): 213-215.

[12]. Srinivasulu, A., T.V. Satyanarayana, M. Raghu Babu and H.V. Hema Kumar, 2006. Performance evaluation of drainage systems in water logged coastal sandy clay loam soil at a pilot area in Krishna western delta. Journal of Agricultural Engineering. 43(1): 8-12.

[11]. Srinivasulu, A., T.V. Satyanarayana, and H.V. Hema Kumar, 2005. Subsurface drainage in a pilot area in Nagarjunasagar right canal command, India. Irrigation & Drainage Systems. 19(1): 61-70.

[10]. Srinivasulu, A. and T.V. Satyanarayana, 2005. Development and application of an LP model for conjunctive use of water resources in saline groundwater areas. Journal of Institution of Engineers (India), Agricultural Engineering Division 86(AG1): 40-44.

[9]. Srinivasulu, A., Ch. Sujani Rao, G.V. Lakshmi, T.V. Satyanarayana and J. Boonstra, 2004. Model studies on salt and water balances at Konanki pilot area, Andhra Pradesh, India. Irrigation & Drainage Systems. 18(1): 1-17.

[8]. Ravikumar2, M., J.L.N. Sudha2, A. Srinivasulu and T.V. Satyanarayana, 2004. Estimation of crop water requirement and its comparison with actual application of water in Ponnur channel command of Krishna Western Delta. Andhra Agricultural Journal. 50: 13-18.

[7]. Srinivasulu, A., T.V. Satyanarayana, M. Ravi Kumar2 and J.L.N. Sai Sudha2, 2003. Crop water requirements in comparison to actual water applied in some canal commands of Krishna Western Delta. Journal of Agricultural Engineering. 40(4): 43-50.

[6]. Srinivasulu, A., H.V. Hema Kumar and T.V. Satyanarayana, 2003. Hydraulic performance of closed sub-surface drainage system at Konanki pilot area in NSP right canal command. Journal of Research ANGRAU. 31 (1): 19-25.

[5]. Hema Kumar, H.V., A. Srinivasulu and T.V. Satyanarayana, 2003. Role of sub-surface drainage systems in the control of water logging at Konanki pilot area. Journal of Research ANGRAU. 31(4): pp. 8-13.

[4]. Srinivasulu, A. and N.K. Tyagi, 2002. A root zone salinity model for planning irrigation with saline water. Journal of Institution of Engineers (India), Agricultural Engineering Division. 83: 28-32.

[3]. Radhakrishna Reddy2, K., P. Sridevi2, A. Srinivasulu and T.V. Satyanarayana, 2002. Optimal allocation of land and water resources – a linear programming approach. Andhra Agricultural Journal, 49(1&2): 102-108.

[2]. Srinivasulu, A. and N.K. Tyagi, 2001. Crop-water-salinity production functions for planning saline water use. Journal of Institution of Engineers (India), Agricultural Engineering Division. 82: 1-4.

[1]. Srinivasulu, A., N.K. Tyagi and K.N. Shukla, 1997. Conjunctive use of water resources in saline groundwater basins: a management model. ICID Journal (continues as Irrigation and Drainage). 46(1): 65-84.

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