Skip to main content
Log in

Water retention models for soils mixed with waste residues: application of the modified van-Genuchten and Brooks-Corey models

  • Original Article
  • Published:
Biomass Conversion and Biorefinery Aims and scope Submit manuscript

Abstract

Applying additives (e.g., biochar and rapeseed-oil residue) to soils is a common agronomic practice used to improve water-retaining capacity. An investigation of water availability and an applicability evaluation of traditional soil water retention curve (SWRC) are therefore necessary for the soil mixed with waste residues. We aimed to investigate the impact of additives on water retention and further to develop models for their prediction. Loam and sandy loam were mixed with different amounts of rapeseed-oil residue and biochar, respectively. And results show that the biochar and rapeseed-oil residue retain more water, with a minimum and maximum increase in soil moisture by approximately 26.2% and 92.7%, and 10.2% and 19.4%, respectively, relative to pure soil. Furthermore, based on the soil capillary theory, modified van–Genuchten (M-VG) and Brooks–Corey (M-BC) models were constructed and compared, which indicate that both the modified physics-based models (M-SWRC) have higher accuracy than the traditional SWRC models in soil moisture prediction; furthermore, the M-VG model outperforms the M-BC model, due to larger R2 and smaller MAPE and RMSE. For the field soils mixed with additives, the soil suction density function has potentials for SWRC model modification based on the soil capillary theory.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Mollinedo J, Schumacher TE, Chintala R (2015) Influence of feedstocks and pyrolysis on biochar's capacity to modify soil water retention characteristics. J Anal Appl Pyrol 114:100–108

    Google Scholar 

  2. Gul S, Whalen JK, Thomas BW, Sachdeva V, Deng H (2015) Physico-chemical properties and microbial responses in biochar-amended soils: mechanisms and futrue directions. Agric Ecosyst Environ 206:46–59

    Google Scholar 

  3. Obia A, Mulder J, Martinsen V, Cornelissen G, Børresen T (2016) In situ effects of biochar on aggregation, water retention and porosity in light-textured tropical soils. Soil Till Res 155:35–44

    Google Scholar 

  4. Sun F, Lu S (2014) Biochars improve aggregate stability, water retention, and pore-space properties of clayey soil. J Plant Nutr Soil Sci 177:26–33

    Google Scholar 

  5. Xiao Q, Zhu L, Shen Y, Li S (2016) Sensitivity of soil water retention and availability to biochar addition in rainfed semi-arid farmland during a three-year field experiment. Field Crop Res 196:284–293

    Google Scholar 

  6. Jin Z, Chen C, Chen X, Hopkins I, Zhang X, Han Z, Jiang F, Billy G (2019) The crucial factors of soil fertility and rapeseed yield-a five year field trial with biochar addition in upland red soil, China. Sci Total Environ 649:1467–1480

    Google Scholar 

  7. Rekasi M, Szili-Kovacs T, Takacs T, Bernhardt B, Puspan I, Kovacs R, Kutasi J, Draskovits E, Molnar S, Molnar M, Uzinger N (2019) Improving the fertility of sandy soils in the temperate region by combined biochar and microbial inoculant treatments. Arch Agron Soil Sci 65:44–57

    Google Scholar 

  8. Zhang L, Jing Y, Xiang Y, Zhang R, Lu H (2018) Responses of soil microbial community structure changes and activities to biochar addition: a meta-analysis. Sci Total Environ 643:926–935

    Google Scholar 

  9. Zhang M, Wang J, Bai SH, Teng Y, Xu Z (2018) Evaluating the effects of phytoremediation with biochar additions on soil nitrogen mineralization enzymes and fungi. Environ Sci Pollut Res 25:23016–23116

    Google Scholar 

  10. Lu SG, Sun FF, Zong YT (2014) Effect of rice husk biochar and coal fly ash on some physical properties of expansive clayed soil (vertisol). Catena. 114:37–44

    Google Scholar 

  11. Xing X, Li Y, Ma X (2017) Effects on infiltration and evaporation when adding rapeseed-oil residue or wheat straw to a loam soil. Water. 9:700

    Google Scholar 

  12. Xing X, Wang H, Ma X (2018) Brooks-Corey modeling by one-dimensional vertical infiltration method. Water. 10:593

    Google Scholar 

  13. Liu W, Luo X, Huang F, Fu M (2019) Prediction of soil water retention curve using Bayesian updating from limited measurement data. Appl Math Model 76:380–395

    Google Scholar 

  14. Antinoro C, Bagarello V, Ferro V, Giordano G, Iovino M (2014) A simplified approach to estimate water retention for Sicilian soils by the Arya-Paris model. Geoderma. 213:226–234

    Google Scholar 

  15. Shwetha P, Varija K (2015) Soil water retention curve from saturated hydraulic conductivity for sandy loam and loamy and textured soils. Aquat Procedia 4:1142–1149

    Google Scholar 

  16. Gao H, Shao M (2015) Effects of temperature changes on soil hydraulic properties. Soil Tillage Res. 153:145–154

    Google Scholar 

  17. Tyagaraj T, Rao SM (2010) Influence of osmotic suction on the soil-water characteristic curves of compacted expansive clay. J Geotech Geoenviron Eng 136:1695–1702

    Google Scholar 

  18. Xing X, Li Y, Ma X (2018) Water retention curve correction using changes in bulk density during data collection. Eng Geol 233:231–237

    Google Scholar 

  19. Garg A, Garg A, Zhou WH, Tai K, Deo MC (2015) A new simulation approach of genetic programming in modelling of soil water retention property of unsaturated soil. Eng Comput 32:914–930

    Google Scholar 

  20. Wang L, Tang L, Wang Z, Liu H, Zhang W (2020) Probabilistic characterization of the soil-water retention curve and hydraulic conductivity and its application to slope reliability analysis. Comput Geotech 121:103460

    Google Scholar 

  21. Zhou WH, Yuen KV, Tan F (2014) Estimation of soil-water characteristic curve and relative permeability for granular soils with different initial dry densities. Eng Geol 179:1–9

    Google Scholar 

  22. Pan T, Hou S, Liu Y, Tan Q (2019) Comparison of three models fitting the soil water retention curves in a degraded apline meadow region. Sci Rep-UK 9:18

    Google Scholar 

  23. Wang W, Gong Y, Xing X (2020) Groundwater evaporation for salt-affected soil under plastic film-covered cultivation condition: a review. J Soil Sci Plant Nutr. https://doi.org/10.1007/s42729-020-00207-z

  24. Scholl P, Leitner G, Kammerer G, Loiskandl W, Kaul HP, Bodner G (2014) Root induced changes of effective 1D hydraulic properties in a soil column. Plant Soil 381:193–213

    Google Scholar 

  25. Ng CWW, Ni JJ, Leung AK, Wang ZJ (2016) A new and simple water retention model for root-permeated soils. Géotech Lett 6:1–6

    Google Scholar 

  26. Bordoloi S, Garg A, Sreedeep S, Peng L, Mei G (2018) Investigation of cracking and water availability of soil-biochar composite synthesized from invasive weed water hyacinth. Bioresour Technol 263:665–677

    Google Scholar 

  27. Xing X, Ma X (2019) Analysis of cracking potential and modification of soil-water characteristic curve by adding wheat residues. Soil Sci Soc Am J 83:1299–1308

    Google Scholar 

  28. Decagon devices (2016) MPS-2 & MPS-6 dielectric water potential sensors Operator's manual. Decagon Devices, Pullman

    Google Scholar 

  29. Xing X, Kang D, Ma X (2017) Differences in loam water retention and shrinkage behavior: effects of various types and concentrations of salt ions. Soil Tillage Res. 167:61–72

    Google Scholar 

  30. van Genuchten MT (1980) A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Sci Soc Am J 44:892–898

    Google Scholar 

  31. Brooks RH, Corey AT (1964) Hydraulic properties of porous media. Hydraulic papers. Colorado State University, Fort Collins

    Google Scholar 

  32. Fetter CW (1999) Contaminant hydrogeology, Prentice Hall, pp 176–180

  33. Xing X, Liu Y, Ma X (2019) A modified van-Genuchten model for soil-water retention modeling by considering plant additives. Arch Agron Soil Sci 65:435–449

    Google Scholar 

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

    Google Scholar 

  35. Garg A, Garg A, Tai K (2014) A multi-gene genetic programming model for estimating stress-dependent soil water retention curves. Comput Geosci 18:45–56

    Google Scholar 

  36. Han X, Shao M, Horton R (2010) Estimating van Genuchten model parameters of undisturbed soils using an intergral method. Pedosphere. 20:55–62

    Google Scholar 

  37. Gardner WR (1968) Availability and measurement of soil water. Water Deficits Plant Growth 1:107–135

    Google Scholar 

  38. Ng CWW, Menzies BK (2007) Advanced unsaturated soil mechanics and engineering. CRC Press

  39. Ajayi AE, Horn R (2017) Biochar-induced changes in soil resilience: effects of soil texture and biochar dosage. Pedosphere 27:236–247

    Google Scholar 

  40. Ulyett J, Sakrabani R, Kibblewhite M, Hann M (2014) Impact of biochar addition on water retention, nitrification and carbn dioxide evolution from two sandy loam soils. Eur J Soil Sci 65:96–104

    Google Scholar 

  41. Wong JTF, Chen Z, Ng CWW, Wong MH (2015) Gas permeability of biochar-amended clay: potential alternative landfill final cover material. Environ Sci Pollut Res 23:7126–7131

    Google Scholar 

  42. Kosugi K, Hopmans JW, Dane JH (2002) “Parametric models.” Methods of soil analysis. Part 4: Physical methods, SSSA Book Series No. 5, Soil Science Society of America, Madison, WI

  43. Valiantzas JD (2011) Combined Brooks-Corey/Burdine and van Genuchten/Mualem closed-form model for improving prediction of unsaturated conductivity. J Irrig Drain Eng 137:223–233

    Google Scholar 

  44. Gao H, Zhang J, Liu C, Man J, Chen C, Wu L, Zeng L (2019) Efficient bayesian inverse modeling of water infiltration in layered soils. Vadose Zone J 18:190029

    Google Scholar 

  45. Yang WH, Clifford D, Minasny B (2015) Mapping soil water retention curves via spatial Bayesian hierarchical models. J Hydrol 524:768–779

    Google Scholar 

  46. Tan F, Zhou WH, Yuen KV (2016) Modeling the soil water retention properties of same-textured soils with different initial void ratios. J Hydrol 542:731–743

    Google Scholar 

  47. Patel S (2012) Threats, managements and envisaged utilizations of aquatic weed Eichhornia crassipes: an overview. Rev Environ Sci Biotechnol 11:249–259

    Google Scholar 

Download references

Funding

This work was financially supported by the National Natural Science Foundation of China (grant No. 51809217), the National Natural Science Foundation for Youth Grant Project (grant No. 41907252), and the PhD Research Startup Foundation (grant No. Z109021806).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xuguang Xing.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Garg, A., Xing, X. & Bordoloi, S. Water retention models for soils mixed with waste residues: application of the modified van-Genuchten and Brooks-Corey models. Biomass Conv. Bioref. 12, 5059–5066 (2022). https://doi.org/10.1007/s13399-020-00957-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13399-020-00957-x

Keywords

Navigation