Xinhua Jia - Publications and Reports

Peer Reviewed Journal Articles (last 3 years)

  1. Almen, K., T. Scherer, T. DeSutter, M. Lin, and X. Jia. 2021. Impact of controlled drainage and subirrigation on water quality in the Red River Valley. Water 13(1): 308-324.
  2. Roy, D., X. Jia, D.D. Steele, X. Chu, and Z. Lin. 2020. Infiltration into frozen silty clay loam soil with different soil water contents in the Red River of the North Basin in the U.S. Water 12 (2):321. Doi:10.3390/w12020321.
  3. Niaghi, A. R., and X. Jia. 2019. New approach to improve the soil water balance method for evapotranspiration estimation. Water 11: 2478; doi:10.3390/w11122478.
  4. Cho, E., J. Jacobs, X. Jia, and S. Kraatz. 2019. Identifying tile drainage using satellite big data and machine learning via Google Erath Engine. Water Resources Research 55. Doi: 10.1029/2019WR024892.  
  5. Kadioglu, H., H. Hatterman-Valenti, X. Jia, X. Chu, H. Aslan, and H. Simsek. 2019. Groundwater table effects on the yield, growth and water use of canola (Brassica napus l.) plant. Water 11: 1730. Doi:10.3390/w11081730.
  6. Niaghi, A. R., X. Jia, D. D. Steele, and T. F. Scherer. 2019. Drainage water management effects on energy flux partitioning, evapotranspiration, and crop coefficients for corn. Agricultural Water Management 225 (2019) 105760.     
  7. Schroeder, R., J. Jacobs, E. Cho, C. Olheiser, M. DeWeese, B. Connelly, M. Cosh, X. Jia, C. Vuyovich, and S. Tuttle. 2019. Comparison of satellite passive microwave with modeled snow water equivalent estimates in the Red River of the North Basin. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12(9): 3233-3246. DOI: 10.1109/JSTARS.2019.2926058.  
  8. Niaghi, A. R., X. Jia, T. F. Scherer, and D. D. Steele. 2019. Measurement of non-irrigated turfgrass evapotranspiration rate in the Red River Valley. Vadose Zone Journal. 18(1): 1-11. doi:10.2136/vzj2018.11.0202.
  9. Kolars, K., X. Jia, D.D. Steele, and T.F. Scherer. 2019. A soil water balance model for subsurface water management. Applied Engineering in Agriculture 35(4): 633-646.    
  10. Fidantemiz, Y.Z., X. Jia, A. L. Daigh, H. Hatterman-Valenti, D.D. Steele, A. R. Niaghi, and H. Simsek. 2019. Effect of water table depth on soybean water use, growth, and yield parameters. Water 11(5):
  11. Chu, X., X. Jia, and Y. Liu. 2018. Quantification of wetting front movement under the influence of surface topography. Soil Research 56(4): 383-395.  
  12. Roy, D., X. Jia, D. D. Steele, and D. Lin. 2018. Development and comparison of soil water release curves for three soils in the Red River Valley. USA. Soil Sci. Soc. Am. J. 82:568-577. doi:10.2136/sssaj2017.09.0324  
  13. Jia, X., T. F. Scherer, D. D. Steele, and T. M. DeSutter. 2017. Subirrigation system performance and evaluation in the Red River Valley of the North. Applied Engineering in Agriculture 33(6): 811-818.
  14. Khand, K., C. Hay, J. Kjaersgaard, and X. Jia. 2017. Estimating impacts of agricultural subsurface drainage on evapotranspiration using Landsat imagery-based METRIC model. Hydrology 4(4):49. doi:10.3390/hydrology4040049.
  15. Buyukcangaz, H., D. D. Steele, S. R. Tuscherer, D. G. Hopkins, and Jia, X. 2017. Evapotranspiration mapping with METRIC to evaluate effectiveness of irrigation in flood mitigation for the Devils Lake basin. Trans. ASABE 60(5):1575-1591.

Non-refereed Publications (last 3 years)

  1. Jia, X. 2020. Automatic control of irrigation for watermelons and tomatoes. Water Sprouts 313 (
  2. Vaddevolu, U.B.P., X. Jia, T. F. Scherer, and C. Lee. 2020. Automatic sensor controlled drip irrigation under mulches for tomato and watermelon productions. 2020 ASABE International Meeting, July 12-15, 2020. Omaha, NE. Paper No. 2001035.  
  3. Jia, X., and M. Lin. 2018. Water quality changing trends from a subsurface drained and subirrigated field. ASABE Annual International Meeting, July 29 – August 1, 2018. Detroit, MI. Paper No. 1801767.
  4. Niaghi, A. R., X. Jia., and T. F. Scherer. 2017. Impact of accurate evapotranspiration estimates on DRAINMOD simulation in North Dakota. ASABE Annual International Meeting, July 16-19, 2017. Spokane, WA. Paper No. 1701500.   
  5. Niaghi, A. R., and X. Jia. 2017. Determination of grass evapotranspiration rates and crop coefficients using eddy covariance method in eastern North Dakota. ASCE World Environmental & Water Resources Congress (EWRI) Annual Meeting, May 21-25, 2017, Sacramento, CA.
Top of page