干旱区生态环境知识资源中心(Arid): Modeling and Assessing Potential Soil Erosion Hazards Using USLE and Wind Erosion Models in Integration with GIS Techniques: Dakhla Oasis, Egypt

Arid

DOI	10.3390/agriculture11111124
	Modeling and Assessing Potential Soil Erosion Hazards Using USLE and Wind Erosion Models in Integration with GIS Techniques: Dakhla Oasis, Egypt
	Selmy, Salman A. H.; Abd Al-Aziz, Salah H.; Jimenez-Ballesta, Raimundo; Garcia-Navarro, Francisco Jesus; Fadl, Mohamed E.
通讯作者	Selmy, SAH (corresponding author), Assiut Univ, Dept Soils & Water, Fac Agr, Assiut 71526, Egypt.
来源期刊	AGRICULTURE-BASEL
EISSN	2077-0472
出版年	2021
卷号	11 期号:11
英文摘要	Soil erosion modeling is becoming more significant in the development and implementation of soil management and conservation policies. For a better understanding of the geographical distribution of soil erosion, spatial-based models of soil erosion are required. The current study proposed a spatial-based model that integrated geographic information systems (GIS) techniques with both the universal soil loss equation (USLE) model and the Index of Land Susceptibility to Wind Erosion (ILSWE). The proposed Spatial Soil Loss Model (SSLM) was designed to generate the potential soil erosion maps based on water erosion and wind erosion by integrating factors of the USLE and ILSWE models into the GIS environment. Hence, the main objective of this study is to predict, quantify, and assess the soil erosion hazards using the SSLM in the Dakhla Oasis as a case study. The water soil loss values were computed by overlaying the values of five factors: the rainfall factor (R-Factor), soil erodibility (K-Factor), topography (LS-Factor), crop types (C-Factor), and conservation practice (P-Factor). The severity of wind-driven soil loss was calculated by overlaying the values of five factors: climatic erosivity (CE-Factor), soil erodibility (E-Factor), soil crust (SC-Factor), vegetation cover (VC-Factor), and surface roughness (SR-Factor). The proposed model was statistically validated by comparing its outputs to the results of USLE and ILSWE models. Soil loss values based on USLE and SSLM varied from 0.26 to 3.51 t ha(-1) yr(-1) with an average of 1.30 t ha(-1) yr(-1) and from 0.26 to 3.09 t ha(-1) yr(-1) with a mean of 1.33 t ha(-1) yr(-1), respectively. As a result, and according to the assessment of both the USLE and the SSLM, one soil erosion class, the very low class (< 6.7 t ha(-1) yr(-1)), has been reported to be the prevalent erosion class in the study area. These findings indicate that the Dakhla Oasis is slightly eroded and more tolerable against water erosion factors under current management conditions. Furthermore, the study area was classified into four classes of wind erosion severity: very slight, slight, moderate, and high, representing 1.0%, 25.2%, 41.5%, and 32.3% of the total study area, respectively, based on the ILSWE model and 0.9%, 25.4%, 43.9%, and 29.9%, respectively, according to the SSLM. Consequently, the Dakhla Oasis is qualified as a promising area for sustainable agriculture when appropriate management is applied. The USLE and ILSWE model rates had a strong positive correlation (r = 0.97 and 0.98, respectively), with the SSLM rates, as well as a strong relationship based on the average linear regression (R-2 = 0.94 and 0.97, respectively). The present study is an attempt to adopt a spatial-based model to compute and map the potential soil erosion. It also pointed out that designing soil erosion spatial models using available data sources and the integration of USLE and ILSWE with GIS techniques is a viable option for calculating soil loss rates. Therefore, the proposed soil erosion spatial model is fit for calculating and assessing soil loss rates under this study and is valid for use in other studies under arid regions with the same conditions.
英文关键词	soil erosion hazard USLE ILSWE GIS techniques soil erosion spatial modeling soil erosion mapping soil conservation erosion factors
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000723645800001
WOS关键词	LOESS PLATEAU ; ERODIBILITY ; TRANSPORT ; RUSLE
WOS类目	Agronomy
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/373767
作者单位	[Selmy, Salman A. H.; Abd Al-Aziz, Salah H.] Assiut Univ, Dept Soils & Water, Fac Agr, Assiut 71526, Egypt; [Jimenez-Ballesta, Raimundo] Autonomous Univ Madrid, Dept Geol & Geochem, Madrid 28019, Spain; [Garcia-Navarro, Francisco Jesus] Univ Castilla La Mancha, Higth Tech Sch Agr Engineers, Ciudad Real 13007, Spain; [Fadl, Mohamed E.] Natl Author Remote Sensing & Space Sci NARSS, Div Sci Training & Continuous Studies, Cairo 11769, Egypt
推荐引用方式 GB/T 7714	Selmy, Salman A. H.,Abd Al-Aziz, Salah H.,Jimenez-Ballesta, Raimundo,et al. Modeling and Assessing Potential Soil Erosion Hazards Using USLE and Wind Erosion Models in Integration with GIS Techniques: Dakhla Oasis, Egypt[J],2021,11(11).
APA	Selmy, Salman A. H.,Abd Al-Aziz, Salah H.,Jimenez-Ballesta, Raimundo,Garcia-Navarro, Francisco Jesus,&Fadl, Mohamed E..(2021).Modeling and Assessing Potential Soil Erosion Hazards Using USLE and Wind Erosion Models in Integration with GIS Techniques: Dakhla Oasis, Egypt.AGRICULTURE-BASEL,11(11).
MLA	Selmy, Salman A. H.,et al."Modeling and Assessing Potential Soil Erosion Hazards Using USLE and Wind Erosion Models in Integration with GIS Techniques: Dakhla Oasis, Egypt".AGRICULTURE-BASEL 11.11(2021).