埃及halayeb地区可持续农业发展的农业生态区模型

IF 1.9 Q3 SOIL SCIENCE EGYPTIAN JOURNAL OF SOIL SCIENCE Pub Date : 2022-05-09 DOI:10.21608/ejss.2022.130269.1499
M. Jalhoum, M. Hassan, Fathalla Farag, M. Abdou, Elsayed Abd elsattar, M. Emam, A. Belal, A. El-Baroudy, M. Shokr
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引用次数: 2

摘要

哈拉耶布地区是埃及最重要的地区之一,占据了该国东南部沙漠地带的一部分,是与苏丹的战略边界。本研究的主要目标是结合现有的地貌、土壤质量和气候数据,确定适合农业发展的农业生态区(AEZ)。在整个研究区域挖掘了32个土壤剖面,以代表自然地理单元,并根据对数字高程模型和陆地卫星8号卫星数据以及研究区域内9个地点的气候数据的分析,生成了数字土壤图。使用ArcGIS软件中的Model Builder,基于地形、土壤化学和物理特性、温度和降水图的叠加图创建了AEZ。区域(I)代表高度适合的区域(2.6%),区域(II。高度适宜(S1)、适宜(S2)和适度适宜(S3)是所有研究作物的最适宜类别。研究结果将有助于决策者根据研究区域的条件制定各种发展计划。该研究的方法和结果可用于评估哪块土地最适合农业生产力增长。
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MODELING OF AGRO-ECOLOGICAL ZONES FOR SUSTAINABLE AGRICULTURE EVELOPMENT IN HALAYEB AREA, EGYPT
T he Halayeb area is one of the most important Egyptian places, occupying a portion of the country's southeastern desert zone and serving as a strategic border with Sudan. The major goal of this study is to combine existing data on landforms, soil qualities, and climate data to define agro-ecological zones (AEZ) that are suitable for agricultural development. Thirty-two soil profiles were dug throughout the study region to represent physiographic units, and a digital soil map was generated based on an analysis of the digital elevation model and Landsat 8 satellite data, as well as climatic data from nine sites within the study area. Using the Model Builder in ArcGIS software, AEZ were created based on overlay maps of topography, soil chemical and physical properties, temperature, and precipitation maps. Zone (I) represents highly suitable areas (2.6 percent), zone (II) represents suitable areas (12.4 percent), zone (III) represents moderately suitable areas (26.5 percent), and zone (IV) represents marginally suitable areas (37.3 percent) . highly suitable(S1), suitable (S2), and moderately suitable(S3) were the most appropriate classes for all of the crops studied. The findings will aid decision-makers in developing various development plans based on the research area's conditions. The study's methodology and findings can be used to evaluate which land is best suited for agricultural productivity growth.
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