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RESEARCH ARTICLE

Prediction of salt transport in different soil textures under drip irrigation in an arid zone using the SWAGMAN Destiny model

Haichang Yang A , Yun Chen B , Fenghua Zhang A D , Tingbao Xu C and Xu Cai A
+ Author Affiliations
- Author Affiliations

A Agricultural College, Shihezi University, Shihezi City, Xinjiang 832003, China.

B CSIRO Land and Water, Canberra, ACT 2601, Australia.

C Fenner School of Environment and Society, The Australian National University, Canberra, ACT 2601, Australia.

D Corresponding author. Email: zfh2000@126.com

Soil Research 54(7) 869-879 https://doi.org/10.1071/SR15169
Submitted: 13 June 2015  Accepted: 1 March 2016   Published: 22 August 2016

Abstract

In recent years, Xinjiang Oasis has faced a major challenge of increasing risk of secondary salinization caused by drip irrigation under plastic mulch. Predicting the salt balance is therefore essential for understanding how to sustain the use of salinized land in this arid area. This research validated the SWAGMAN (Salt, Water And Groundwater MANagement) Destiny model to simulate and forecast the movement of salt in different soil textures based on field experiments. The results were verified with extensive field work in Shihutan, Xinjiang, China. They show that soil salinity decreases in the upper layers and increases in the bottom layers of the investigated soil profile. The desalinization rate in sand, which shows an overall steady trend throughout the soil profile, is generally higher than that in loam and clay. The depth of 60 cm is critical for loam and clay; soil salinity decreases above it but increases below it. Model sensitivity analysis reveals the variation of soil salinity is independent of the initial electrical conductivity setting of SWAGMAN Destiny simulations. This study indicates that numerical modelling is a useful approach for efficiently estimating the salt balance under drip irrigation. The result provides a scientific basis for making adaptive strategies to manage salinised farmlands in arid zones.

Additional keywords: arid area, drip irrigation, soil salinity, soil texture, SWAGMAN Destiny.


References

Akbar G, Raine S, McHugh AD, Hamilton G (2015) Managing lateral infiltration on wide beds in clay and sandy clay loam using Hydrus 2D. Irrigation Science 33, 177–190.
Managing lateral infiltration on wide beds in clay and sandy clay loam using Hydrus 2D.Crossref | GoogleScholarGoogle Scholar |

Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration – Guidelines for computing crop water requirements. FAO Irrigation and drainage paper 56, FAO, Rome.

Ayars J, Phene C, Hutmacher R, Davis K, Schoneman R, Vail S, Mead R (1999) Subsurface drip irrigation of row crops: a review of 15 years of research at the Water Management Research Laboratory. Agricultural Water Management 42, 1–27.
Subsurface drip irrigation of row crops: a review of 15 years of research at the Water Management Research Laboratory.Crossref | GoogleScholarGoogle Scholar |

Bernstein L, Fireman M (1957) Laboratory studies on salt distribution in furrow-irrigated soil with special reference to the pre-emergence period. Soil Science 83, 249–264.
Laboratory studies on salt distribution in furrow-irrigated soil with special reference to the pre-emergence period.Crossref | GoogleScholarGoogle Scholar |

Bouksila F, Bahri A, Berndtsson R, Persson M, Rozema J, Van der Zee SE (2013) Assessment of soil salinization risks under irrigation with brackish water in semiarid Tunisia. Environmental and Experimental Botany 92, 176–185.
Assessment of soil salinization risks under irrigation with brackish water in semiarid Tunisia.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXovVCjsrs%3D&md5=18f323b362753f4db0de1860a5b0b490CAS |

Cote CM, Bristow KL, Charlesworth PB, Cook FJ, Thorburn PJ (2003) Analysis of soil wetting and solute transport in subsurface trickle irrigation. Irrigation Science 22, 143–156.
Analysis of soil wetting and solute transport in subsurface trickle irrigation.Crossref | GoogleScholarGoogle Scholar |

Crescimanno G, Garofalo P (2005) Application and evaluation of the SWAP model for simulating water and solute transport in a cracking clay soil. Soil Science Society of America Journal 69, 1943–1954.
Application and evaluation of the SWAP model for simulating water and solute transport in a cracking clay soil.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXht1WrurbO&md5=3ccee03c36068077cfbd153cca7b6a33CAS |

Deng XP, Shan L, Zhang H, Turner NC (2006) Improving agricultural water use efficiency in arid and semiarid areas of China. Agricultural Water Management 80, 23–40.
Improving agricultural water use efficiency in arid and semiarid areas of China.Crossref | GoogleScholarGoogle Scholar |

Edraki M, Smith D, Humphreys E, Khan S, O’Connell N, Xevi E (2003) ‘Validation of the SWAGMAN Farm and SWAGMAN Destiny models.’ (CSIRO Land and Water)

El-Hendawy SE, Schmidhalter U (2010) Optimal coupling combinations between irrigation frequency and rate for drip-irrigated maize grown on sandy soil. Agricultural Water Management 97, 439–448.
Optimal coupling combinations between irrigation frequency and rate for drip-irrigated maize grown on sandy soil.Crossref | GoogleScholarGoogle Scholar |

Godwin D, Humphreys E, Smith D, Timsina J, Xevi E, Meyer W (2002) Application of SWAGMAN Destiny to rice-wheat cropping systems. In ‘Modelling irrigated cropping systems, with special attention to rice–wheat sequences and raised bed planting’. Technical Report 25/02. (Eds E Humphreys, J Timsina) pp. 63–81. (CSIRO Land and Water: Griffith). Available at www.clw.csiro.au/publications/technical2002/tr25–02. pdf [verified 23 July 2016].

Hanson B, May D (2004) Effect of subsurface drip irrigation on processing tomato yield, water table depth, soil salinity, and profitability. Agricultural Water Management 68, 1–17.
Effect of subsurface drip irrigation on processing tomato yield, water table depth, soil salinity, and profitability.Crossref | GoogleScholarGoogle Scholar |

Hedley C, Yule I, Eastwood C, Shepherd T, Arnold G (2004) Rapid identification of soil textural and management zones using electromagnetic induction sensing of soils. Soil Research 42, 389–400.
Rapid identification of soil textural and management zones using electromagnetic induction sensing of soils.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2cXltF2hu7s%3D&md5=66771d90f0e2bd4a3b7dc866f6cd5ffeCAS |

Jiang J, Feng S, Huo Z, Zhao Z, Jia B (2011) Application of the SWAP model to simulate water–salt transport under deficit irrigation with saline water. Mathematical and Computer Modelling 54, 902–911.
Application of the SWAP model to simulate water–salt transport under deficit irrigation with saline water.Crossref | GoogleScholarGoogle Scholar |

Kang Y, Chen M, Wan S (2010) Effects of drip irrigation with saline water on waxy maize (Zea mays L. var. ceratina Kulesh) in North China Plain. Agricultural Water Management 97, 1303–1309.
Effects of drip irrigation with saline water on waxy maize (Zea mays L. var. ceratina Kulesh) in North China Plain.Crossref | GoogleScholarGoogle Scholar |

Khan S, Xevi E, Meyer W (2003) Salt, water, and groundwater management models to determine sustainable cropping patterns in shallow saline groundwater regions of Australia. Journal of Crop Production 7, 325–340.

Lobo DN, Bostock KA, Neal KR, Perkins AC, Rowlands BJ, Allison SP (2002) Effect of salt and water balance on recovery of gastrointestinal function after elective colonic resection: a randomised controlled trial. Lancet 359, 1812–1818.
Effect of salt and water balance on recovery of gastrointestinal function after elective colonic resection: a randomised controlled trial.Crossref | GoogleScholarGoogle Scholar | 12044376PubMed |

McKenzie N, Coughlan K, Cresswell H (2002) ‘Soil physical measurement and interpretation for land evaluation.’ (CSIRO Publishing: Melbourne)

Meyer W, Godwin D, White R (1996) SWAGMAN Destiny. A tool to project productivity change due to salinity, waterlogging and irrigation management. In ‘Proceedings of the 8th Australian Agronomy Conference’, Toowoomba. pp. 425–428.

Moreno F, Cabrera F, Andrew L, Vaz R, Martin-Aranda J, Vachaud G (1995) Water movement and salt leaching in drained and irrigated marsh soils of southwest Spain. Agricultural Water Management 27, 25–44.
Water movement and salt leaching in drained and irrigated marsh soils of southwest Spain.Crossref | GoogleScholarGoogle Scholar |

Mubarak I, Mailhol JC, Angulo-Jaramillo R, Ruelle P, Boivin P, Khaledian M (2009) Temporal variability in soil hydraulic properties under drip irrigation. Geoderma 150, 158–165.
Temporal variability in soil hydraulic properties under drip irrigation.Crossref | GoogleScholarGoogle Scholar |

Noory H, Van Der Zee S, Liaghat AM, Parsinejad M, Van Dam J (2011) Distributed agro-hydrological modeling with SWAP to improve water and salt management of the Voshmgir Irrigation and Drainage Network in Northern Iran. Agricultural Water Management 98, 1062–1070.
Distributed agro-hydrological modeling with SWAP to improve water and salt management of the Voshmgir Irrigation and Drainage Network in Northern Iran.Crossref | GoogleScholarGoogle Scholar |

Raine SR, Meyer WS, Rassam DW, Hutson JL, Cook FJ (2005) Soil-Water and salt movement associated with precession irrigation system – research investment opportunities. Final report to the National Program for Sustainable Irrigation. CRCIF. Report number 3. 13/1. Cooperative Research Centre for Irrigation Futures, Toowoomba.

Rengasamy P (2006) World salinization with emphasis on Australia. Journal of Experimental Botany 57, 1017–1023.
World salinization with emphasis on Australia.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD28Xis1Gls74%3D&md5=422bea586961af9637ea5b626f33fa14CAS | 16510516PubMed |

Rodbard D (1974) Statistical quality control and routine data processing for radioimmunoassays and immunoradiometric assays. Clinical Chemistry 20, 1255–1270.

Šimůnek J, van Genuchten MT, Šejna M (2008) Development and applications of the HYDRUS and STANMOD software packages and related codes. Vadose Zone Journal 7, 587–600.
Development and applications of the HYDRUS and STANMOD software packages and related codes.Crossref | GoogleScholarGoogle Scholar |

Singh D, Rajput T, Sikarwar H, Sahoo R, Ahmad T (2006) Simulation of soil wetting pattern with subsurface drip irrigation from line source. Agricultural Water Management 83, 130–134.
Simulation of soil wetting pattern with subsurface drip irrigation from line source.Crossref | GoogleScholarGoogle Scholar |

Su N, Bethune M, Mann L, Heuperman A (2005) Simulating water and salt movement in tile-drained fields irrigated with saline water under a Serial Biological Concentration management scenario. Agricultural Water Management 78, 165–180.
Simulating water and salt movement in tile-drained fields irrigated with saline water under a Serial Biological Concentration management scenario.Crossref | GoogleScholarGoogle Scholar |

Timsina J, Humphreys E (2003) ‘Performance and application of CERES and SWAGMAN Destiny models for rice-wheat cropping systems in Asia and Australia: a review.’ (CSIRO Land and Water Griffith: NSW, Australia)

Torabi M, Salemi H, Droogers P, Noshadi M (2004) Integrated basin-scale and field-scale modelling as a tool to assess improved water and salinity management. Soil Research 42, 355–368.
Integrated basin-scale and field-scale modelling as a tool to assess improved water and salinity management.Crossref | GoogleScholarGoogle Scholar |

Ward P (2006) Predicting the impact of perennial phases on average leakage from farming systems in south-western Australia. Crop and Pasture Science 57, 269–280.
Predicting the impact of perennial phases on average leakage from farming systems in south-western Australia.Crossref | GoogleScholarGoogle Scholar |

Wu Q, Christen EW, Enever DJ (2000) ‘BASINMAN: a water balance model for farms with subsurface pipe drainage and an on-farm basin.’ (Cooperative Research Centre for Catchment Hydrology)

Xevi E, Khan S (2006) Integrating GIS and modelling soil water and crop production. Available at http://www.mssanz.org.au/ modsim07/papers/21_s46/Integrating_s46_Xevi_.pdf [accessed on 6 December 2008].

Xevi E, Chen Y, Khan S (2010) ‘Using the SWAGMAN Destiny model and GIS to evaluate productivity and groundwater recharge in the Coleambally Irrigation Area.’ (CRC for Irrigation Futures)

Xie T, Liu X, Sun T (2011) The effects of groundwater table and flood irrigation strategies on soil water and salt dynamics and reed water use in the Yellow River Delta, China. Ecological Modelling 222, 241–252.
The effects of groundwater table and flood irrigation strategies on soil water and salt dynamics and reed water use in the Yellow River Delta, China.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3cXhsFGmsLbO&md5=d046bf5dd37b2bf3471e4568647e915dCAS |

Xu L, Yang J, Zhang Q, Niu H (2008) Modelling water and salt transport in a soil–water–plant system under different groundwater tables. Water and Environment Journal: the Journal/the Chartered Institution of Water and Environmental Management 22, 265–273.
Modelling water and salt transport in a soil–water–plant system under different groundwater tables.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1MXhtVWkt7Y%3D&md5=eb9d90b98b0a45a7d2b74c682798418dCAS |

Yao BL, Ye HC, Sun SM, An QA (2011) Research on the effects of water quality on soil salt distribution in drip irrigation for Red Jujube. Research of Soil and Water Conservation 2, 049