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首页> 外文期刊>Egyptian Journal of Soil Science >Integration of Terrain, Thematic Mapper and Soil Quality Data for Surface Hydrology, Water Erosion and Land Suitability Modeling: NW Coast, Egypt
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Integration of Terrain, Thematic Mapper and Soil Quality Data for Surface Hydrology, Water Erosion and Land Suitability Modeling: NW Coast, Egypt

机译:整合地形,主题映射器和土壤质量数据以进行地表水文学,水蚀和土地适宜性建模:埃及西北海岸

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摘要

AT A REPRESENTATIVE area at Omyed, NWC, the present study aims to integrate GIS and RS technologies with soil qualities data in assessing and modeling the rain- runoff relationship, the water erosion hazards and the land suitability for specific uses.The GIS-modeling capability was used to integrate the analysis outputs of thematic mapper image, of digital terrain, and of soil qualities to model the following : 1, Rainfall-Runoff: The rainfall-runoff relationship was estimated by using the curve number method The study indicated that a total number of 46 cisterns are required for collecting and reserve 4121 m~3 in November and 19202 m~3 in January of runoff water for eleven natural undisturbed watersheds. 2,Water Erosion Hazards : The revised universal soil loss equation was used .The analysis showed that, about 506.23 km~2 are subject to erosion rate of less than 20 ton/ha/year and about 153.31 km~2 are subject to erosion rate of more than 20 ton/ha/year for the maximum erosion hazard scenario.For the current erosion hazard scenario 567.26 km~2 are subject to erosion rate of less than 20 ton/ha/year and about 92.28 km~2 are subject to erosion rate of more than 20 ton/ha/year. 3. Land suitability for specific uses : MicroLEIS land evaluation model linked with GIS was used. The capability evaluation indicated that, about S~2 : 178.49 km~2 , S3 : 188.09 km~2, and N : 296.77 km~2. The irrigated agriculture suitability for 12 specific land gave for olive about 9.67 km~2 as S~2 and 7.86 km~2 as S3for olive, for peach and citrus about 11.05 km~2 as S3 and 6.39 km~2 as S4 and for Wheat, Corn, Alfalfa, Sunflower, Cotton, soybean, Sugar Beat, Potato and Melon about 17.44 km~2 are S4. The rainfed agriculture suitability evaluation indicated that, about 366.58 km~2 are class II, 292.35 km~2 are class III and 4.42 km~2 are class IV for rainfed agriculture.
机译:在NWC Omyed的一个代表区域,本研究旨在将GIS和RS技术与土壤质量数据相结合,以评估和模拟雨水径流关系,水蚀危害和特定用途的土地适宜性。用来对专题制图仪图像,数字地形和土壤质量的分析输出进行整合,以建立以下模型:1,降雨-径流:使用曲线数法估算降雨-径流关系。 11个天然无干扰流域在11月收集和储备4121 m〜3和在1月收集19202 m〜3的水需要46个水箱。 2,水土流失危害:采用修正后的通用水土流失方程,分析结果表明,侵蚀率小于20吨/公顷/年的土壤约有506.23 km〜2,侵蚀率小于153.31 km〜2。最大侵蚀危害情景下的侵蚀量大于20吨/公顷/年。对于当前侵蚀危害情景,567.26 km〜2的侵蚀速率小于20吨/公顷/年,约92.28 km〜2的侵蚀速率超过20吨/公顷/年。 3.特定用途的土地适用性:使用了与GIS链接的MicroLEIS土地评估模型。能力评估表明,大约S〜2:178.49 km〜2,S3:188.09 km〜2,N:296.77 km〜2。灌溉农业对12个特定土地的适宜性使橄榄的S〜2约为9.67 km〜2,橄榄的S3约为7.86 km〜2,桃和柑桔的S3约为11.05 km〜2,S4约为6.39 km〜2,小麦也是如此。大约17.44 km〜2的玉米,玉米,苜蓿,向日葵,棉花,大豆,糖浆,马铃薯和甜瓜为S4。雨养农业适宜性评价表明,雨养农业约为Ⅱ类366.58 km〜2,Ⅲ类约为292.35 km〜2,Ⅳ类约为4.42 km〜2。

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