Sciences in Cold and Arid Regions ›› 2016, Vol. 8 ›› Issue (2): 147-155.doi: 10.3724/SP.J.1226.2016.00147

• ARTICLES • Previous Articles    

Geostatistical analysis of variations in soil salinity in a typical irrigation area in Xinjiang, northwest China

Mamattursun Eziz1, Mihrigul Anwar2, XinGuo Li1   

  1. 1. College of Geographical Science and Tourism, Xinjiang Normal University, Urumqi, Xinjiang 830054, China;
    2. College of Resources and Environmental Science, Xinjiang University, Urumqi, Xinjiang 830046, China
  • Received:2015-08-29 Revised:2015-12-06 Published:2018-11-23
  • Contact: Mamattursun Eziz
  • Supported by:
    This research was funded by the National Natural Science Foundation of China(Nos. 41201032, 41561073, and U1138302).

Abstract: Characterizing spatial and temporal variability of soil salinity is tremendously important for a variety of agronomic and environmental concerns in arid irrigation areas.This paper reviews the characteristics and spatial and temporal variations of soil salinization in the Ili River Irrigation Area by applying a geostatistical approach.Results showed that:(1) the soil salinity varied widely,with maximum value of 28.10 g/kg and minimum value of 0.10 g/kg,and was distributed mainly at the surface soil layer.Anions were mainly SO42- and Cl-,while cations were mainly Na+ and Ca2+;(2) the abundance of salinity of the root zone soil layer for different land use types was in the following order:grassland >cropland >forestland. The abundance of salinity of root zone soil layers for different periods was in the following order:March >June >September;(3) the spherical model was the most suitable variogram model to describe the salinity of the 0-3 cm and 3-20 cm soil layers in March and June,and the 3-20 cm soil layer in September,while the exponential model was the most suitable variogram model to describe the salinity of the 0-3 cm soil layer in September.Relatively strong spatial and temporal structure existed for soil salinity due to lower nugget effects;and(4) the maps of kriged soil salinity showed that higher soil salinity was distributed in the central parts of the study area and lower soil salinity was distributed in the marginal parts. Soil salinity tended to increase from the marginal parts to the central parts across the study area.Applying the kriging method is very helpful in detecting the problematic areas and is a good tool for soil resources management.Managing efforts on the appropriate use of soil and water resources in such areas is very important for sustainable agriculture,and more attention should be paid to these areas to prevent future problems.

Key words: soil salinization, variation, geostatistics, Ili River Irrigation Area

Abdelbasset L, Mokded R, Tahar G, et al., 2009. Effectiveness of compost use in salt-affected soil. Journal of Hazardous Materials, 171:29-37. DOI:10.1016/j.jhazmat.2009.05.132.
Dennis LC, James DR, Jirka Š, 2007. Leaching requirement for soil salinity control:Steady-state versus transient models. Agricultural Water Management, 90:165-180. DOI:10.1016/j.agwat.2007.02.007.
Goovaerts P, 1997. Geostatistics for Natural Resources Evaluation.New York:Oxford University Press.
Hamid Y, Mamattursun E, Mihrigul M, et al., 2011. Variations in groundwater levels and salinity in the Ili River Irrigation Area, Xinjiang, northwest China:A geostatistical approach. International Journal of Sustainable Development & World Ecology, 18:55-64. DOI:10.1080/13504509.2011.544871.
Hu XL, Lu L, 2009. Spatio-temporal variability of groundwater level in the middle Heihe River Basin. Journal of Desert Research, 29:777-784.
Kumar S, Sondhi SK, Phogat V, 2005. Network design for groundwater level monitoring in upper Bari Doab canal tract, Punjab, India. Irrigation Drainage, 54:431-442.DOI:10.1002/ird.194.
Li HB, 1998. Theory and methodology of spatial heterogeneity quantification. Applied Ecology, 9:651-657.
Mamattursun E, Hamid Y, Anwar M, et al., 2010. Oasis land-use change and its effects on the oasis eco-environment in Keriya Oasis, China. International Journal of Sustainable Development & World Ecology, 17:244-252. DOI:10.1080/13504500903211871.
Mamattursun E, Hamid Y, Zulpiya M, et al., 2012. The response of soil salinization to characteristics of groundwater in Ili River Valley. Journal of China Hydrology, 32:14-20.
Manoranjan KM, Sadiqul IB, Danielito TF, 2001. Soil salinity reduction and prediction of salt dynamics in the coastal ricelands of Bangladesh. Agricultural Water Management, 47:9-23. DOI:10.1016/S0378-3774(00)00098-6.
Mehmet C, Turgut Y, 2006. Hydro-chemical evaluation of groundwater quality in the Cavuscayi Basin, Sungurlu-Corum, Turkey. Environmental Geology, 50:323-330.DOI:10.1007/s00254-006-0211-7.
Metternicht GI, Zinck JA, 2003. Remote sensing of soil salinity:Potentials and constraints. Remote Sensing of Environment, 85:1-9. DOI:10.1016/S0034-4257(02)00188-8.
Prendergast JB, Calvin WR, William LH, 2004. A model for conjunctive use of groundwater and surface for control of irrigation salinity.Irrigation Science, 14:167-175. DOI:10.1007/BF00190188.
Pucci AA, Murashige JAE, 1987. Application of universal kriging to an aquifer study in New Jersey. Ground Water, 25:672-678.DOI:10.1111/j.1745-6584.1987.tb02207.x.
Reghunath R, Sreedhara Murthy TR, Raghavan BR, 2005. Time series analysis to monitor and assess water resources:A moving average approach. Environmental Monitoring and Assessment, 109:65-72. DOI:10.1007/s10661-005-5838-4.
Rhoades JD, Kandiah A, Mashali AM, 1992. The use of saline waters for production. FAO Irrigation and Drainage Paper No. 48, Rome, pp. 130-136.
Stigter TY, Ribeiro L, Carvalho DA, 2006. Application of a groundwater quality index as an assessment and communication tool in agro-environmental policies-Two Portuguese case studies. Journal of Hydrology, 327:578-591.DOI:10.1016/j.jhydrol.2005.12.001.
Theodossiou N, Latinopoulos P, 2007. Evaluation and optimisation of groundwater observation networks using the kriging methodology.Environmental Modelling Software, 22:414-415.
Triantafilis J, Odeh IOA, Warr B, et al., 2004. Mapping of salinity risk in the lower Namoi Valley using non-linear kriging methods.Agricultural Water Management, 69:203-231.DOI:10.1016/j.agwat.2004.02.010.
Wang HW, Zhang XL, Qiao M, 2008. Assessment and dynamic analysis of the eco-environmental quality in the Ili River Basin based on GIS. Arid Land Geography, 31(2):215-221.
Wang Z, 1999. Geostatistics and Its Application in Ecology. Beijing:Science Press, pp. 53-87.
Yang FG, Cao SY, Liu XN, et al., 2008. Design of groundwater level monitoring network with ordinary kriging. Journal of Hydrodynamics, 20:339-346. DOI:10.1016/S1001-6058(08)60066-9.
Yang YJ, Yang JS, Liu GM, et al., 2005. Space-time variability and prognosis of soil salinization in Yucheng City, China. Pedosphere, 15:797-804.
Zhao CY, Wang YC, Chen X, et al., 2005. Effects of groundwater level fluctuation on its chemical composition in karst soils of Lithuania. Ecological Modelling, 187:341-351.DOI:10.1007/s00254-007-1164-1.
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