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Development of a soil-plant-atmosphere continuum model (HDS-SPAC) based on hybrid dual-source approach and its verification in wheat field

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Abstract

HDS-SPAC, a new soil-plant-atmosphere continuum (SPAC) model, is developed for simulating water and heat transfer in SPAC. The model adopts a recently proposed hybrid dual source approach for soil evaporation and plant transpiration partitioning. For the above-ground part, a layer approach is used to partition available energy and calculate aerodynamic resistances, while a patch approach is used to derive sensible heat and latent heat fluxes from the two sources (soil and vegetation). For the below-ground part, soil water and heat dynamics are described by the mixed form of Richards equation, and the soil heat conductivity equation, respectively. These two parts are coupled through ground heat flux for energy transfer, root-zone water potential-dependent stomatal resistance, and surface soil water potential-dependent evaporation for water transfer. Evaporation is calculated from the water potential gradient at soil-atmosphere interface and aerodynamic resistance, and transpiration is determined using a Jarvis-type function linking soil water availability and atmospheric conditions. Some other processes, such as canopy interception and deep percolation, are also considered in the HDS-SPAC model. The hybrid dual-source approach allows HDS-SPAC to simulate heat and water transfer in an ecosystem with a large range of vegetation cover change temporally or spatially. The model was tested with observations at a wheat field in North China Plain over a time of three months covering both wet and dry conditions. The fractional crop covers change from 30% to over 90%. The results indicated that the HDS-SPAC model can estimate actual evaporation and transpiration partitioning and soil water content and temperature over the whole range of tested vegetation coverage.

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References

  1. Wilson T B, Norman J M, Bland, et al. Evaluation of the importance of Lagrangian canopy turbulence formulations in a soil-plant-atmosphere model. Agric Forest Meteorol, 2003, 115: 51–69

    Article  Google Scholar 

  2. Lee Y H, Mahrt L. Comparison of heat and moisture fluxes from a modified soil-plant-atmosphere model with observations from BOREAS. J Geophys Res, 2004, 109: D08103.1-D08103.9

  3. Lei H M, Yang D W, Stanislaus J, et al. Modeling the crop transpiration using an optimality-based approach. Sci China Ser E-Tech Sci, 2008, 51: 60–75

    Article  MATH  Google Scholar 

  4. Krobel R, Sun Q P, Ingwersen J, et al. Modelling water dynamics with DNDC and DAISY in a soil of the North China Plain: A comparative study. Environ Modell Softw, 2010, 25: 583–598

    Article  Google Scholar 

  5. Monteith J L. Evaporation and environment. Symp Soc Exp Biol, 1965, 19: 205–234

    Google Scholar 

  6. Kustas W P, Norman J M. Evaluation of soil and vegetation heat flux predictions using a simple two-source model with radiometric temperatures for partial canopy cover. Agric Forest Meteorol, 1999, 94: 13–29

    Article  Google Scholar 

  7. Sánchez J M, Kustas W P, Caselles V, et al. Modeling surface energy fluxes over maize using a two-source patch model and radiometric soil and canopy temperature observations. Remote Sens Environ, 2008, 112: 1130–1143

    Article  Google Scholar 

  8. Zhang B Z, Kang S Z, Zhang L, et al. An evapotranspiration model for sparsely vegetated canopies under partial root-zone irrigation. Agric For Meteorol, 2009, 149: 2007–2011

    Article  Google Scholar 

  9. Lhomme J P, Chehbouni A. Comments on dual-source vegetation-atmosphere transfer models. Agric Forest Meteorol, 1999, 94: 269–273

    Article  Google Scholar 

  10. Shuttleworth W J, Wallace J S. Evaporation from sparse crops-an energy combination theory. Quart J Met Soc, 1985, 111: 839–855

    Article  Google Scholar 

  11. Kustas W P, Norman J M. A two-source approach for estimating turbulent fluxes using multiple angle thermal infrared observations. Water Resour Res, 1997, 33: 1495–1508

    Article  Google Scholar 

  12. Norman J M, Kustas W P, Humes K S. Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature. Agric Forest Meteorol, 1995, 77: 263–293

    Article  Google Scholar 

  13. Guan H D. Water above the mountain front—assessing mountain-block recharge in semiarid regions. Dissertation of Doctoral Degree. Socorro: New Mexico Institute of Mining and Technology, 2005. 85–111

    Google Scholar 

  14. Timmermans W J, Kustas W P, Anderson M C, et al. An intercomparison of the Surface Energy Balance Algorithm for Land (SEBAL) and the Two-Source Energy Balance (TSEB) modeling schemes. Remote Sens Environ, 2007, 108: 369–384

    Article  Google Scholar 

  15. Braud I, Dantas-Antonino A C, Vauclin M, et al. A simple soil-plant-atmosphere transfer model (SiSPAT) development and field verification. J Hydrol, 1995, 166: 213–250

    Article  Google Scholar 

  16. Lee Y H, Park S U. Evaluation of a modified soil-plant-atmosphere model for CO2 flux and latent heat flux in open canopies. Agric Forest Meteorol, 2007, 143: 230–241

    Article  Google Scholar 

  17. Zhang L, Dawes W R, Hatton T J. Modelling hydrologic processes using a biophysically based model—application of WAVES to FIFE and HAPEX-MOBILHY. J Hydrol, 1996, 185: 147–169

    Article  Google Scholar 

  18. Walko R L, Band L E, Baron J, et al. Coupled atmosphere-biophysics-hydrology models for environmental modeling. J Appl Meteorol, 2000, 39: 931–944

    Article  Google Scholar 

  19. Guan H D, Wilson J L. A hybrid dual-source model for potential evaporation and transpiration partitioning. J Hydrol, 2009, 377: 405–416

    Article  Google Scholar 

  20. Miao H X, Chen S P, Chen J Q, et al. Cultivation and grazing altered evapotranspiration and dynamics in Inner Mongolia steppes. Agric Forest Meteorol, 2009, 149: 1810–1819

    Article  Google Scholar 

  21. Tognetti R, Giovannelli A, Lavini A, et al. Assessing environmental controls over conductances through the soil-plant-atmosphere continuum in an experimental olive tree plantation of southern Italy. Agric Forest Meteorol, 2009, 149: 1229–1243

    Article  Google Scholar 

  22. Yamanaka T, Takeda A, Shimada J. Evaporation beneath the soil surface: some observational evidence and numerical experiments. Hydrol Process, 1998, 12: 2193–2203

    Article  Google Scholar 

  23. Seneviratne S I, Corti T, Davin E L, et al. Investigating soil moisture-climate interactions in a changing climate: A review. Earth Sci Rev, 2010, 99: 125–161

    Article  Google Scholar 

  24. Campbell G S, Norman J M. An Introduction to Environmental Biophysics. New York: Springer, 1998. 63–110

    Book  Google Scholar 

  25. Allen R G, Pereira L S, Raes D, et al. Crop evapotranspiration: Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56. Rome: FAO, 1998. 41–53

    Google Scholar 

  26. Lin J D, Sun S F. A study of moisture and heat transport in soil and the effect of resistance to evaporation (in Chinese). J Hydraul Eng, 1983, 14: 1–8

    Google Scholar 

  27. Edlefson N E, Anderson A B C. Thermodynamics of soil moisture. Hilgardia, 1943, 15: 31–298

    Google Scholar 

  28. Deardorff J W. Efficient prediction of ground surface temperature and moisture with inclusion of a layer of vegetation. J Geophys Res, 1978, 20: 1889–1903

    Article  Google Scholar 

  29. Noilhan J, Planton S. A simple parameterization of land surface processes for meteorological models. Mon Weather Rev, 1989, 117: 536–549

    Article  Google Scholar 

  30. Taconet O, Bernard R, Vidal-Madjar D. Evapotranspiration over an agricultural region using a surface flux/temperature model based on NOAA-AVHRR data. J Clim Appl Meteorol, 1986, 25: 284–307

    Article  Google Scholar 

  31. Monteith J L. Principles of Environmental Physics. London: Edward Arnold, 1973. 1–291

    Google Scholar 

  32. Choudhury B J, Monteith J L. A four-layer model for the heatbudget of homogeneous land surfaces. Q J R Meteorol Soc, 1988, 114: 373–398

    Article  Google Scholar 

  33. Chen J M, Liu J, Cihlar J, et al. Daily canopy photosynthesis model through temporal and spatial scaling for remote sensing applications. Ecol Modell, 1999, 124: 99–119

    Article  Google Scholar 

  34. Bond B J, Meinzer F C, Brooks J R. How trees influence the hydrological cycle in forest ecosystems. In: Wood P J, Hannah D M, Sadler J P, eds. Hydroecology and Ecohydrology: Past, Present and Future. Mississauga: John Wiley & Sons, Ltd., 2007. 7–35

    Google Scholar 

  35. Jarvis P G. Interpretation of variations in leaf water potential and stomatal conductance found in canopies in field. Phil Trans R Soc Lond B, 1976, 273: 593–610

    Article  Google Scholar 

  36. Lhomme J P, Elguero E, Chehbouni A, et al. Stomatal control of transpiration: Examination of Monteith's formulation of canopy resistance. Water Resour Res, 1998, 34: 2301–2308

    Article  Google Scholar 

  37. Chen F, Mitchell K, Schaake J, et al. Modeling of land surface evaporation by four schemes and comparison with FIFE observations. J Geophys Res, 1996, 101: 7251–7268

    Article  Google Scholar 

  38. Philip J R, De Vries D A. Moisture movement in porous materials under temperature gradients. Trans Am Geophys Union, 1957, 38: 222–232

    Google Scholar 

  39. Milly P C D. Moisture and heat transport in hysteretic, inhomogeneous porous media: a matric heat-based formulation and a numerical model. Water Resour Res, 1982, 18: 489–498

    Article  Google Scholar 

  40. Milly P C D. A simulation analysis of thermal effects on evaporation from soil. Water Resour Res, 1984, 20: 1087–1098

    Article  Google Scholar 

  41. Celia M A, Bouloutas E F. A general mass-conservative numerical solution for the unsaturated flow equation. Water Resour Res, 1990, 26: 1483–1469

    Article  Google Scholar 

  42. de Vries D A. Thermal properties of soils. In: van Wijk W R, ed. Physics of Plant Environment. Amsterdam: North-Holland Publishing Company, 1963. 210–235

    Google Scholar 

  43. Chung S O, Horton R. Soil heat and water flow with a partial surface mulch. Water Resour Res, 1987, 23: 2175–2186

    Article  Google Scholar 

  44. van Genuchten M T. A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Sci Soc Am J, 1980, 44: 892–898

    Article  Google Scholar 

  45. Mualem Y. A new model for predicting the hydraulic conductivity of unsaturated porous media. Water Resour Res, 1976, 12: 513–522

    Article  Google Scholar 

  46. Feddes R A, Kowalik P J, Zaradny H. Simulation of Field Water Use and Crop Yield. New York: John Wiley & Sons, 1978. 16–30

    Google Scholar 

  47. Zhang X Y. Crop Root and Soil Water Use (in Chinese). Beijing: China Meteorological Press, 1999. 39–41

    Google Scholar 

  48. Lee D H, Abriola L M. Use of the Richards equation in land surface parameterizations. J Geophys Res, 1999, 104: 27519–27526

    Article  Google Scholar 

  49. Cong Z T. Study on the coupling between the winter wheat growth and the water-heat transfer in Soil-Plant-Atmosphere Continuum (in Chinese). Dissertation of Doctoral Degree. Beijing: Tsinghua University, 2003. 1–112

    Google Scholar 

  50. Shang S H, Li X C, Mao X M, et al. Simulation of water dynamics and irrigation scheduling for winter wheat and maize in seasonal frost areas. Agric Water Manage, 2004, 68: 117–133

    Article  Google Scholar 

  51. Luo Y, Yu Q, Yang Z, et al. The evaluation of water uptakes models by using precise field observation data (in Chinese). J Hydraul Eng, 2000, 31: 73–80

    Google Scholar 

  52. Li S G, Asanuma J, Kotani A, et al. Evapotranspiration from a Mongolian steppe under grazing and its environmental constraints. J Hydrol, 2007, 333: 133–143

    Article  Google Scholar 

  53. Liu C M, Zhang X Y, Zhang Y Q. Determination of daily evaporation and evapotranspiration of winter wheat and maize by large-scale weighing lysimeterand miro-lysimeter. Agric Forest Meteorol, 2002, 111: 109–120

    Article  Google Scholar 

  54. Lei H M, Yang D W. Interannual and seasonal variability in evapotranspiration and energy partitioning over an irrigated cropland in the North China Plain. Agric For Meteorol, 2010, 150: 581–589

    Article  Google Scholar 

  55. Breshears D D, Ludwig J A. Near-ground solar radiation along the grassland-forest continuum: Tall-tree canopy architecture imposes only muted trends and heterogeneity. Austral Ecol, 2009, 35: 31–40

    Article  Google Scholar 

  56. Kang Y H, Wang Q G, Liu H J. Winter wheat canopy interception and its influence factors under sprinkler irrigation. Agric Water Manage, 2005, 74: 189–199

    Article  Google Scholar 

  57. Hough M N, Jones R J A. The United Kingdom Meteorological Office rainfall and evaporation calculation system: MORECS version 2.0—an overview. Hydrol Earth Syst Sci, 1997, 1: 227–239

    Article  Google Scholar 

  58. Du Y, Wang J, Liu Z, et al. Water distribution and microclimate effects of sprinkler irrigation on spring wheat field. Chin J Appl Ecol, 2001, 12: 398–400

    Google Scholar 

  59. Tolk J A, Howell T A, Steiner J L, et al. Role of transpiration suppression by evaporation of intercepted water in improving irrigation efficiency. Irrig Sci, 1995, 16: 89–95

    Article  Google Scholar 

  60. Wells C E, Eissenstadt D M. Beyond the roots of young seedling: the influence of age and order on fine root physiology. J Plant Growth Regul, 2003, 21: 324–334

    Article  Google Scholar 

  61. Haverkamp R, Vauclin M, Vachaud G. Error analysis in estimating soil water content from neutron probe measurements, I. Local standpoint. Soil Sci, 1984, 137: 78–90

    Article  Google Scholar 

  62. Penman H L. Natural evaporation from open water, bare soil and grass. Proc Roy Soc A, 1948, 193: 120–145

    Article  Google Scholar 

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Yang, Y., Shang, S. & Guan, H. Development of a soil-plant-atmosphere continuum model (HDS-SPAC) based on hybrid dual-source approach and its verification in wheat field. Sci. China Technol. Sci. 55, 2671–2685 (2012). https://doi.org/10.1007/s11431-012-4974-7

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