El-Sayed, M., Faragallah, M., El-Desoky, A., Fadl, M. (2020). Geostatistical models for land capability evaluation of Wadi Tag El-Wabar, Sohag, Egypt. Archives of Agriculture Sciences Journal, 3(2), 94-106. doi: 10.21608/aasj.2020.110194
M. A. El-Sayed; M. A. Faragallah; A. I. El-Desoky; M. E. Fadl. "Geostatistical models for land capability evaluation of Wadi Tag El-Wabar, Sohag, Egypt". Archives of Agriculture Sciences Journal, 3, 2, 2020, 94-106. doi: 10.21608/aasj.2020.110194
El-Sayed, M., Faragallah, M., El-Desoky, A., Fadl, M. (2020). 'Geostatistical models for land capability evaluation of Wadi Tag El-Wabar, Sohag, Egypt', Archives of Agriculture Sciences Journal, 3(2), pp. 94-106. doi: 10.21608/aasj.2020.110194
El-Sayed, M., Faragallah, M., El-Desoky, A., Fadl, M. Geostatistical models for land capability evaluation of Wadi Tag El-Wabar, Sohag, Egypt. Archives of Agriculture Sciences Journal, 2020; 3(2): 94-106. doi: 10.21608/aasj.2020.110194
Geostatistical models for land capability evaluation of Wadi Tag El-Wabar, Sohag, Egypt
1Department of Soils and Water, Faculty of Agriculture, Al-Azhar University, Assiut, Egypt
2Division of Scientific Training and Continuous Studies, National Authority for Remote Sensing and Space Sciences (NARSS), Cairo, Egypt
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.
Top