Soil & Water Res., 2015, 10(2):90-98 | DOI: 10.17221/139/2014-SWR

Assessment of land capability for different irrigation systems by parametric and fuzzy approaches in the Mashhad Plain, northeast IranOriginal Paper

Ali BAGHERZADEH, Parisa PAYMARD
Department of Agriculture, Islamic Azad University - Mashhad Branch, Mashhad, Iran

Water quality and quantity in agricultural systems of arid and semi- arid regions of the world are of great importance. In this regard the trend to pressurized irrigation systems compared to surface irrigation, elevating water use efficiency, has drastically increased in the agriculture sector. The present study aimed to assess land capability for different types of irrigation systems including surface, drip, and sprinkler practices by parametric and fuzzy approaches to evaluate the capability of cultivated lands on 6131 km2 of the Mashhad Plain, Khorasan Razavi Province, northeast Iran. In this regard land qualities (drainage and slope), soil physical and chemical properties (texture, depth, salinity, drainage, calcium carbonate and gypsum percentage) and climate conditions (wind velocity) were evaluated by using the Geographic Information System (GIS). Based on parametric approach, some 1116.5 ha of the study area were classified as highly suitable (S1 class) for surface irrigation, while the corresponding values by fuzzy approach accounted for 6099.7 ha of the region. The moderately suitable class of S2, assessed by parametric and fuzzy approaches, included 5014.5 and 31.3 ha of the plain, respectively. It was revealed that the land capability indices were in higher classes (S1 to S2) by drip and sprinkler irrigation compared to the surface irrigation system and the soil texture was detected as the most limiting factor for using the surface irrigation system. With respect to current soil and climate conditions in the study area, the most efficient irrigation systems are drip and sprinkler practices.

Keywords: drip; fuzzy approach; GIS; irrigation; land capability; parametric; sprinkler; surface

Published: June 30, 2015  Show citation

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BAGHERZADEH A, PAYMARD P. Assessment of land capability for different irrigation systems by parametric and fuzzy approaches in the Mashhad Plain, northeast Iran. Soil & Water Res. 2015;10(2):90-98. doi: 10.17221/139/2014-SWR.
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    References

    1. Albaji M., Landi A., Boroomand Nasab S., Moravej K. (2008): Land suitability evaluation for surface and drip irrigation in Shavoor Plain Iran. Journal of Applied Sciences, 8: 654-659. Go to original source...
    2. Albaji M., Boroomand Nasab S., Naseri A.A., Jafari S. (2010): Comparison of different irrigation methods based on the parametric evaluation approach in Abbas plain - Iran. Journal of Irrigation and Drainage Engineering, 136: 131-136. Go to original source...
    3. Bazzani F., Incerti F. (2002): Land evaluation in the province of Larache, Morocco. In: 22nd Course Professional Master, Geomatics and Natural Resources Evaluation, Nov 12, 2001-June 21, 2002, IAO, Florence. Available at http://www.iao.florence.it/training/geomatics/Larache/Morocco_22.pdf
    4. Bienvenue J.S., Ngardeta M., Mamadou K. (2003): Land evaluation in the province of Thies, Senegal. In: 23rd Course Professional Master, Geomatics and Natural Resources Evaluation, Nov 8, 2002-June 20, 2003, IAO, Florence. Available at http://www.iao.florence.it/training/geomatics/Thies/senegal23.pdf
    5. Briza Y., Dileonardo F., Spisni A. (2001): Land evaluation in the province of Ben Slimane, Morocco. In: 21st Course Professional Master, Remote Sensing and Natural Resource Evaluation, Nov 10, 2000-June 22, 2001, IAO, Florence. Available at http://www.iao.florence.it/training/geomatics/BenSlimane/Marocco21.pdf.
    6. Dengize O. (2006): A comparison of different irrigation methods based on the parametric evaluation approach. Turkish Journal of Agriculture and Forestry, 30: 21-29.
    7. FAO (1976): A Framework for Land Evaluation. FAO Soil Bulletin 32. Rome, FAO.
    8. Liu W., Qin Y., Vital L. (2006): Land evaluation in Danling county, Sichuan province, China. In: 26th Course Professional Master, Geomatics and Natural Resources Evaluation, Nov 7, 2005-June 23, 2006, IAO, Florence. Available at http://www.iao.florence.it/training/geomatics/Danling/China_26.pdf
    9. Mbodj C., Mahjoub I., Sghaiev N. (2004): Land evaluation in the Oued Rmel catchment, Tunisia. In: 24th Course Professional Master, Geomatics and Natural Resources Evaluation, Nov 10, 2003-June 23, 2004, IAO, Florence. Available at http://www.iao.florence.it/training/geomatics/Zaghouan/Tunisia_24lq.pdf
    10. Nash J.E., Sutcliffe J.V. (1970): River flow forecasting through conceptual models, part I: A discussion of principles. Journal of Hydrology, 10: 282-290. Go to original source...
    11. Sys C., Van Ranst E., Debaveye J. (1991): Land Evaluation, Part l, Principles in Land Evaluation and Crop Production Calculations. International Training Centre for Postgraduate Soil Scientists, University Ghent. Available at http://www.plr.ugent.be/publicatie.html
    12. Wang L.X. (1997): A Course in Fuzzy Systems and Control. New York, Prentice Hall.
    13. Zadeh L.A. (1965): Fuzzy sets. Information and Control, 8: 338-353. Go to original source...
    14. USDA (2003): Keys to Soil Taxonomy. 9th Ed. Washington, D.C., Soil Survey Staff, USDA.

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