Environmental Monitoring and Assessment

, Volume 160, Issue 1–4, pp 501–512 | Cite as

Two-dimensional finite elements model for boron management in agroforestry sites

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Abstract

Agroforesty systems, which are recommended as a management option to lower the shallow groundwater level and to reuse saline subsurface drainage waters from the tile-drained croplands in the drainage-impacted areas of Jan Joaquin Valley of California, have resulted in excessive boron buildup in the soil root zone. To assess the efficacy of the long-term impacts of soil boron buildup in agroforesty systems, a mathematical model was developed to simulate non-conservative boron transport. The developed dynamic two-dimensional finite element model simulates water flow and boron transport in saturated–unsaturated soil system, including boron sorption and boron uptake by root-water extraction processes. The simulation of two different observed field data sets by the developed model is satisfactory, with mean absolute error of 1.5 mg/L and relative error of 6.5%. Application of the model to three different soils shows that boron adsorption is higher in silt loam soil than that in sandy loam and clay loam soils. This result agrees with the laboratory experimental observations. The results of the sensitivity analysis indicate that boron uptake by root-water extraction process influences the boron concentration distribution along the root zone. Also, absorption coefficient and maximum adsorptive capacity of a soil for boron are found to be sensitive parameters.

Keywords

Agroforesty Boron buildup Numerical model Boron sorption Boron uptake 
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References

  1. Baba, A., & Ármannsson, H. (2006). Environmental impact of the utilization of geothermal areas. Energy Sources Part B—Economics Planning and Policy, 3(1), 267–278. doi: 10.1080/15567240500397943.CrossRefGoogle Scholar
  2. Camp, R. T. (1963). Water and its impurities (pp. 136–137). London: Reinhold.Google Scholar
  3. Davis, L. A., & Neuman, S. P. (1983). Documentation and user’s guide: UNSAT2—variable saturated flow model. Rep. NRC FIN B7361, Div. of Waste Mgmt. Office of Nuclear Material Safety and Safeguards. Washington, D.C.: U.S. Nuclear Regulatory Commission.Google Scholar
  4. Feddes, R. A., Bresler, E., & Neuman, S. P. (1974). Field test of a modified numerical model for water uptake by root systems. Water Resources Research, 10(6), 1199–1206. doi: 10.1029/WR010i006p01199.CrossRefGoogle Scholar
  5. Gardner, W. R. (1964). Relation of root distribution to water uptake and availability. Agronomy Journal, 56, 41–45.Google Scholar
  6. Grattan, S. R., Shannon, M. C., Grieve, C. M., Poss, J. A., Suarez, D., & Leland, F. (1997). Interactive effects of salinity and boron on the performance and water use of Eucalyptus. ISHS Acta Horticulturae 449: II International Symposium on Irrigation of Horticultural Crops.Google Scholar
  7. Gupta, S. K., Tanji, K. K., Nielsen, D. R., Biggar, J. W., Simmons, C. S., & MacIntyre, J. L.(1978). Field simulation of soil-water movement with crop water extraction. Water Science and Engineering Paper no. 4013, Dept. of Land, Air and Water Resources, University of California, Davis.Google Scholar
  8. Hatcher, J. T., & Bower, C. A. (1958). Equilibria and dynamics of boron adsorption by soils. Soil Science, 85, 319–323. doi: 10.1097/00010694-195806000-00005.CrossRefGoogle Scholar
  9. Karajeh, F. F. (1991). A numerical model for management of subsurface drainage in agroforestry systems. Ph.D. Dissertation to University of California, Davis, CA.Google Scholar
  10. Karajeh, F. F., Tanji, K. K., & King, I. P. (1994). Agroforestry drainage management model. I. Theory and validation. Journal of Irrigation and Drainage Engineering, ASCE, 120(2), 363–381.CrossRefGoogle Scholar
  11. Lindal, B., & Kristmannsdóttir, H. (1989). The scaling properties of the effluent water from Kizildere Power Station, Turkey, and recommendation for a pilot plant in view of district heating applications. Geothermics, 18(1/2), 217–223. doi: 10.1016/0375-6505(89)90030-8.CrossRefGoogle Scholar
  12. Molz, F. J., & Remson, I. (1970). Extraction-term models of soil moisture use by transpiring plants. Water Resources Research, 6, 1346–1356. doi: 10.1029/WR006i005p01346.CrossRefGoogle Scholar
  13. NRC, National Research Council (1989). Irrigation-induced water quality problems. What can be learned from the San Joaquin Valley experience. Committee on Irrigation-Induced Water Quality Problems. Washington: National Academy.Google Scholar
  14. Neuman, S. P. (1973). Saturated–unsaturated seepage by finite elements. Journal of Hydraulic Division, ASCE, 99(12), 2233–2250.Google Scholar
  15. Nimah, M. N., & Hanks, R. J. (1973). Model for estimating soil, water, plant, and atmospheric interrelations: I. Description and sensitivity. Soil Science Society of America Proceedings, 37, 522–527.CrossRefGoogle Scholar
  16. Nour el-Din, M. M. (1986). A finite element model for salinity management in irrigated soils. Ph.D. Dissertation to University of California, Davis, CA.Google Scholar
  17. Nour el-Din, M. M., King, I. P., & Tanji, K. K. (1987). Salinity management model. I. Development. Journal of Irrigation and Drainage Engineering, ASCE, 113(4), 440–453.CrossRefGoogle Scholar
  18. SJVDP, San Joaquin Valley Drainage Program (1990). A management plan for agricultural subsurface drainage and related problems on the Westside San Joaquin Valley. Final report by US DOI (BOR, FWS, GS) and California Resources Agency (DWR, F&G). Sacramento, CA.Google Scholar
  19. Shani, U., Dudley, L. M., & Hanks, R. J. (1992). Model of boron movement in soils. Soil Science Society of America Journal, 56, 1365–1370.Google Scholar
  20. Tanji, K. K. (1969). A computer analysis on the leaching of boron from stratified soil columns. Soil Science, 110(1), 44–51. doi: 10.1097/00010694-197007000-00008.CrossRefGoogle Scholar
  21. Tanji, K. K., & Mehran, M. (1979). Conceptual and dynamic models for nitrogen in irrigated croplands. In P.F. Pratt (principal investigator), Nitrate in effluents from irrigated lands (p. 555–646). Final Report to the National Science Foundation, University of California, Riverside.Google Scholar
  22. Tanji, K. K., & Dahlgren, R. (1990). Efficacy of evaporation ponds for disposal of saline drain waters (pp. 1.1–11.16). Final Report to San Joaquin Valley Drainage Program through the Department of Water Resources.Google Scholar
  23. Tanji, K. K., & Karajeh, F. F. (1993). Saline drainwater reuse in agroforestry systems. Journal of Irrigation and Drainage Engineering, ASCE, 119(1), 170–180.CrossRefGoogle Scholar
  24. Webster, J. G., & Timperley, M. H. (1995). Biological impacts of geothermal development. In Brown, K. L. (convenor), Course on environmental aspects of geothermal development (pp. 97–117). Pre-Congress Courses, Pisa, Italy, 18–20 May 1995.Google Scholar
  25. Westcot, D., Rosenbaum, S., Grewell, B., & Belden, K. (1988). Water and sediment quality in evaporation basins used for the disposal of agricultural subsurface drainage water in the San Joaquin Valley, California (p. 50). California Regional Water Quality Control Board, Central Valley Region.Google Scholar
  26. Whisler, F. D., Klute, A., & Millipton, R. J. (1968). Analysis of steady state evapotranspiration from soil columns. Proceedings—Soil Science of America, 32, 167–174.Google Scholar
  27. Yurekliturk, E. (2002). Boron and selenium transport in saturated and unsaturated zones. M.Sc. thesis, Izmir Institute of Technology, Turkey.Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2009

Authors and Affiliations

  1. 1.Department of Civil EngineeringIzmir Institute of TechnologyIzmirTurkey
  2. 2.Department of Land, Air and Water ResourcesUniversity of CaliforniaDavisUSA
  3. 3.Department of Geological EngineeringCanakkale Onsekiz Mart UniversityCanakkaleTurkey

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