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首页> 外文期刊>Geomatics,Natural Hazards & Risk >Modelling desertification risk in the north-west of Jordan using geospatial and remote sensing techniques
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Modelling desertification risk in the north-west of Jordan using geospatial and remote sensing techniques

机译:使用地理空间和遥感技术模拟约旦西北部的荒漠化风险

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Remote sensing, climate, and ground data were used within a geographic information system (GIS) to map desertification risk in the north-west of Jordan. The approach was based on modelling wind and water erosion and incorporating the results with a map representing the severity of drought. Water erosion was modelled by the universal soil loss equation, while wind erosion was modelled by a dust emission model. The extent of drought was mapped using the evapotranspiration water stress index (EWSI) which incorporated actual and potential evapotranspiration. Output maps were assessed within GIS in terms of spatial patterns and the degree of correlation with soil surficial properties. Results showed that both topography and soil explained 75% of the variation in water erosion, while soil explained 25% of the variation in wind erosion, which was mainly controlled by natural factors of topography and wind. Analysis of the EWSI map showed that drought risk was dominating most of the rainfed areas. The combined effects of soil erosion and drought were reflected on the desertification risk map. The adoption of these geospatial and remote sensing techniques is, therefore, recommended to map desertification risk in Jordan and in similar arid environments.
机译:在地理信息系统(GIS)中使用了遥感,气候和地面数据,以绘制约旦西北部的荒漠化风险图。该方法基于对风蚀和水蚀的建模,并将结果与​​代表干旱严重程度的地图相结合。水蚀用通用土壤流失方程建模,而风蚀用粉尘排放模型建模。干旱程度使用了包括实际和潜在蒸散量的蒸散水分胁迫指数(EWSI)进行了绘制。在GIS中根据空间模式以及与土壤表面特性的相关程度评估了输出图。结果表明,地形和土壤都可以解释75%的水蚀变化,而土壤可以解释25%的风蚀变化,这主要受地形和风的自然因素控制。对EWSI地图的分析表明,干旱风险主导了大多数雨养地区。水土流失和干旱的综合影响反映在荒漠化风险图上。因此,建议采用这些地理空间和遥感技术来绘制约旦和类似干旱环境中的荒漠化风险。

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