Outline

  • Abstract
  • Keywords
  • 1. Introduction
  • 2. Materials and Methods
  • 2.1. Description of the Study Area
  • 2.2. Digital Image Processing and Physiographic Map
  • 2.3. Fieldwork and Laboratory Analyses
  • 2.3.1. Analysis of Physical Properties
  • 2.3.2. Analysis of Chemical Properties
  • 2.4. Land Suitability Assessment
  • 3. Results and Discussion
  • 3.1. Physiographic Map and Soils of the Study Area
  • 3.2. Land Suitability
  • 3.3. Soil Fertility Quality Index (fqi)
  • 3.4. Soil Physical Quality Index (pqi)
  • 3.5. Soil Chemical Quality Index (cqi)
  • 3.6. Land Suitability Evaluation
  • 4. Conclusion
  • References

رئوس مطالب

  • چکیده
  • مقدمه
  • 2. مواد و مدل ها
  • 2.1. شرح ناحیه مورد مطالعه
  • 2.2. پردازش تصویر دیجیتالی و نقشه جغرافیای طبیعی
  • 2.3. کار میدانی و آنالیز آزمایشگاهی
  • 2.3.1. آنالیز ( تحلیل) خواص فیزیکی
  • 2.3.2. آنالیز خواص شیمیایی
  • 2.4. ارزیابی مناسب بودن زمین
  • 3. نتایج و توضیحات
  • 3.1. نقشه جغرافیای طبیعی و خاکهای ناحیه مورد مطالعه
  • 3.2. مناسب بودن زمین
  • 3.3. شاخص کیفیت حاصلخیزی خاک (FQI)
  • 3.4. شاخص کیفیت فیزیکی خاک
  • 3.5. شاخص کیفیت شیمیایی خاک (CQI)
  • 3.6. ارزیابی مناسب بودن زمین
  • 4. جمع بندی

Abstract

Wheat is considered the most important crop in Egypt; however, not all of the land in Egypt is equally suitable for growing wheat. The main objective of this study was to develop a spatial model for land suitability assessment for wheat crop integrated with geographic information system (GIS) techniques. Organic matter, N, P, K, Zn, drainage, texture, depth, topography, surface stoniness, hard pan, hydraulic conductivity, water holding capacity, salinity, ESP, CaCO3 and pH were recognized as factors affecting land suitability for wheat crop in the study area. Three thematic indicators were used in assessing land suitability, soil fertility, chemical and physical properties quality indices. The results of the proposed model were compared with the Square root and Storie methods. The results from the proposed model showed that most of the units fall within the highly suitable class and the moderately suitable class which together represent 71.44% of the total area. About 29% of the study area was marginally suitable and unsuitable for wheat crop and those areas correspond to the adverse physical and chemical properties of the soil. The comparison of the results of the three approaches used showed that the present model has a high level of agreement with the Square root method, whereas all land units have the same classes of suitability with the exception of one unit. The present model allows obtaining results that seems to be corresponded with the current conditions in the area.

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