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首页> 外文期刊>Modeling Earth Systems and Environment >Quantitative land evaluation based on fuzzy-multi-criteria spatial model for sustainable land-use planning
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Quantitative land evaluation based on fuzzy-multi-criteria spatial model for sustainable land-use planning

机译：基于模糊多标准空间模型可持续土地利用规划的定量土地评价

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Evaluating land according to its suitability and soil mapping is an important contribution for agricultural land use planning. Therefore FAO system was used to produce suitability sub classes for horticultural and field crops. Land capability map was produced at a scale of 1:10,000 using soil information according to USDA criteria. All attributed insight analysis were ranked according to them priority and performed with analysis criteria to provide the spatial extent of soil suitability and capability. Also a new dimension was added in the spatial model to determine capability index for soil suitability to different irrigation methods. The overall accuracy of used spatial model is 89% and the validation was carried out through field work. The significance of the created model for mapping is being at a detailed survey level. The landforms were mapped using SRTM combined with sentinel satellite image of the studied area. Accordingly landforms were represented by 33 soil profiles collected in 2015. Another 32 auger profile samples were dug to identify the boundaries among landform units. The capability units were produced in association with geomorphology units. The study shows that 662.4?km_(2)(33%), 715.9?km_(2)(35.6%), 85.8?km_(2)(4.3%), 25.4?km_(2)(1.3%), 490.6?km_(2)(24.4%) and 30.0?km_(2)(1.5%) of the area were categorized in II, III, IV, and V, VI (sand dunes and quarries (and VII (Rock outcrops) land classes respectively. The produced suitability subclasses demonstrates that the land use must be planned for according to identified land capability classes (LCC) to maximize agricultural productivity and sustain the land resources for future generations.
机译：根据其适用性和土壤绘图评估土地是农业用地利用规划的重要贡献。因此，粮农组织系统用于为园艺和野外作物生产适合性子类。根据USDA标准，使用土壤信息以1：10,000的等级生产土地能力图。所有归属洞察分析根据它们的优先级排名并进行分析标准，以提供土壤适宜性和能力的空间程度。在空间模型中还添加了一种新的维度，以确定土壤适宜性对不同灌溉方法的能力指标。二手空间模型的整体准确性为89％，通过现场工作进行验证。创建模型的映射模型的意义在于详细的调查水平。使用SRTM与研究区域的Sentinel卫星图像相结合映射了地形。因此，地貌是由2015年收集的33种土壤剖面所代表的。另外32个螺旋钻样品被挖掘以确定地形单元之间的界限。能力单位与地貌单位相关。该研究表明，662.4？KM_（2）（33％），715.9？KM_（2）（35.6％），85.8？KM_（2）（4.3％），25.4 KM_（2）（1.3％），490.6？该地区的KM_（2）（24.4％）和30.0 km_（2）（1.5％）分别分别分别分别为II，III，IV和V，VI（沙丘和采石场（以及七（岩石露头）土地课程。所生产的适用性子类表明，必须根据确定的土地能力课程（LCC）计划的土地使用，以最大限度地提高农业生产力，维持未来几代土地资源。

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