Geostatistical models for land capability evaluation of Wadi Tag El-Wabar, Sohag, Egypt

El-Sayed, M. and Faragallah, M. and El-Desoky, A. and Fadl, M. (2020) Geostatistical models for land capability evaluation of Wadi Tag El-Wabar, Sohag, Egypt. Archives of Agriculture Sciences Journal, 3 (2). pp. 83-95. ISSN 2535-1699

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Abstract

This study aims to evaluate the land capability and assess geostatistical models for some soils of Wadi Tag El-Wabar located at south-western of Sohag governorate, Egypt. The investigated area is a part of the western desert; it is lies between latitudes 26◦ 3′ 50″ to 26◦18′ 00″ N and longitudes 31◦ 33′ 00″ to 31◦ 45′00″E. According to geomorphological units and recent digital image, thirty soil profiles were chosen to represent the studied area. The obtained results indicated that Wadi Tag El-Wabar soils are included four capability classes i.e. Grade 2 (Good), Grade 3 (Fair), Grade 4 (Poor) and Grade 5 (Non-agricultural) that represents 4.13, 30.07, 34.92 and 30.88%, respectively, of total area, by applying modified Storie rating. Geostatistical analysis for land capability rates were calculated through variance structure using eight semivariogram models (Circular, Pentaspherical, Exponential, Gaussian, Rational Quadratic, Hole Effect, K-Bessel and J-Bessel). All geostatistical models were fitted to the experimental semivariogram analysis using two kriged types (Kriging and Co-Kriging). These models were evaluated by five prediction errors i.e. mean, root mean square, average standard error, mean standardized and root mean square standardized. The results showed that Hole Effect and J-Bessel models were the best used models. A positive correlation (r2 = 0.7933) was recorded between the Hole Effect and J-Bessel semivariogram models.

Item Type: Article
Subjects: OA Digital Library > Agricultural and Food Science
Depositing User: Unnamed user with email support@oadigitallib.org
Date Deposited: 05 Jul 2023 04:11
Last Modified: 15 May 2024 10:11
URI: http://library.thepustakas.com/id/eprint/1674

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