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Dr. Mohamed Khalil
Zagazig University, Faculty of Agriculure

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0 Soil
0 Pedology
0 Soil Analysis And Management
0 Soil Physics
0 Soil mechanics

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Journal article
Published: 20 January 2021 in Sustainability
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Preserving the sustainable agriculture concept requires identifying the plant response to the water regime and rationing the water for irrigation. This research compares different irrigation designs coupled with a parametric evaluation system on soil water erosion and soil suitability to assess the sites vulnerable to soil erosion based on a soil water erosion model (ImpelERO) in an area of 150.0 hectares, Ismailia Governorate, Egypt. Land suitability maps are prepared using the Geographic Information System (GIS), and the soil properties are analyzed and evaluated for the different surface, sprinkler, and drip irrigation methods. The results show that the sprinkler and drip irrigation strategies are more practical irrigation methods and additional environment friendly than surface irrigation for enhancing land productivity. Moreover, the principle acumen for creating use of the surface irrigation on this space is for lowering the soil salinity. Land capability index for surface irrigation ranges from 20.5 to 72.2% (permanently not suitable N2 to moderately suitable S2); and the max capability index (Ci) for drip irrigation was 81.3% (highly suitable-S1), while the mean capability index (Ci) was 42.87% (Currently not suitable-NI). The land suitability of the study area using sprinkler irrigation was ranked as highly suitable (S1), moderately suitable (S2), marginally suitable (S3), and currently not suitable (N1). Thus, the obtained data indicated that applying drip irrigation (trickle irrigation) was the most efficient system compared to the sprinkle and surface irrigation systems. To identify the soil, water erosion vulnerability, and soil optimal management strategies for the agricultural parcel in that region, the ImpelERO model (soil erosion vulnerability/impact/management) was applied. Erosion risk classes ranged from V2 (small) to V3 (moderate), that that region categorized as small-sensitive to water erosion by alfalfa, to moderate-sensitive to water erosion by olive. The results of soil losses varied from 7.1 to 37.9 t ha−1 yr−1 with an average of 17.7 t ha−1 yr−1. Thus, guarantee efficient water use and soil suitability for food production in the future will require the use of an efficient irrigation system.

ACS Style

Mohamed Abu-Hashim; Ahmed Sayed; Martina Zelenakova; Zuzana Vranayová; Mohamed Khalil. Soil Water Erosion Vulnerability and Suitability under Different Irrigation Systems Using Parametric Approach and GIS, Ismailia, Egypt. Sustainability 2021, 13, 1057 .

AMA Style

Mohamed Abu-Hashim, Ahmed Sayed, Martina Zelenakova, Zuzana Vranayová, Mohamed Khalil. Soil Water Erosion Vulnerability and Suitability under Different Irrigation Systems Using Parametric Approach and GIS, Ismailia, Egypt. Sustainability. 2021; 13 (3):1057.

Chicago/Turabian Style

Mohamed Abu-Hashim; Ahmed Sayed; Martina Zelenakova; Zuzana Vranayová; Mohamed Khalil. 2021. "Soil Water Erosion Vulnerability and Suitability under Different Irrigation Systems Using Parametric Approach and GIS, Ismailia, Egypt." Sustainability 13, no. 3: 1057.

Journal article
Published: 03 September 2020 in Agronomy
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The development of the agricultural sector is considered the backbone of sustainable development in Egypt. While the developing countries of the world face many challenges regarding food security due to rapid population growth and limited agricultural resources, this study aimed to assess the soils of Sidi Barrani and Salloum using multivariate analysis to determine the land capability and crop suitability for potential alternative crop uses, based on using principal component analysis (PCA), agglomerative hierarchical cluster analysis (AHC) and the Almagra model of MicroLEIS. In total, 24 soil profiles were dug, to represent the geomorphic units of the study area, and the soil physicochemical parameters were analyzed in laboratory. The land capability assessment was classified into five significant classes (C1 to C5) based on AHC and PCA analyses. The class C1 represents the highest capable class while C5 is assigned to lowest class. The results indicated that about 7% of the total area was classified as highly capable land (C1), which is area characterized by high concentrations of macronutrients (N, P, K) and low soil salinity value. However, about 52% of the total area was assigned to moderately high class (C2), and 29% was allocated in moderate class (C3), whilst the remaining area (12%) was classified as the low (C4) and not capable (C5) classes, due to soil limitations such as shallow soil depth, high salinity, and increased erosion susceptibility. Moreover, the results of the Almagra soil suitability model for ten crops were described into four suitability classes, while about 37% of the study area was allocated in the highly suitable class (S2) for wheat, olive, alfalfa, sugar beet and fig. Furthermore, 13% of the area was categorized as highly suitable soil (S2) for citrus and peach. On the other hand, about 50% of the total area was assigned to the marginal class (S4) for most of the selected crops. Hence, the use of multivariate analysis, mapping land capability and modeling the soil suitability for diverse crops help the decision makers with regard to potential agricultural development.

ACS Style

Mohamed El Sayed Said; Abdelraouf. M. Ali; Maurizio Borin; Sameh Kotb Abd-Elmabod; Ali A. Aldosari; Mohamed M. N. Khalil; Mohamed K. Abdel-Fattah. On the Use of Multivariate Analysis and Land Evaluation for Potential Agricultural Development of the Northwestern Coast of Egypt. Agronomy 2020, 10, 1318 .

AMA Style

Mohamed El Sayed Said, Abdelraouf. M. Ali, Maurizio Borin, Sameh Kotb Abd-Elmabod, Ali A. Aldosari, Mohamed M. N. Khalil, Mohamed K. Abdel-Fattah. On the Use of Multivariate Analysis and Land Evaluation for Potential Agricultural Development of the Northwestern Coast of Egypt. Agronomy. 2020; 10 (9):1318.

Chicago/Turabian Style

Mohamed El Sayed Said; Abdelraouf. M. Ali; Maurizio Borin; Sameh Kotb Abd-Elmabod; Ali A. Aldosari; Mohamed M. N. Khalil; Mohamed K. Abdel-Fattah. 2020. "On the Use of Multivariate Analysis and Land Evaluation for Potential Agricultural Development of the Northwestern Coast of Egypt." Agronomy 10, no. 9: 1318.