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基于径向基函数神经网络(RBFN)的内蒙古土壤风蚀危险度评价 被引量:14

Using RBFN Model and GIS Technique to Assess Wind Erosion Hazard in Inner Mongolia
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摘要 土壤风蚀是北方干旱和半干旱地区土地沙化和沙尘暴灾害的首要环节和主要动力过程之一.选取影响内蒙古自治区土壤风蚀演化的相关指标,运用GIS技术提取各指标数据,构建径向基函数神经网络(Radial Basis Function Network,RBFN);根据不同风蚀危险程度标准,选取12个市、县(旗)相关数据进行训练,确定网络模型参数,进而对内蒙古自治区88个市、县(旗)的土壤风蚀危险度进行了评价.结果表明:内蒙古自治区西部为土壤风蚀发生的极强危险区,西北为强危险区,中部为中度危险区,而东部为轻度危险区;利用其他研究对该评价结论进行对比验证,结果较为理想. Soil wind erosion is the primary process and the main driving force for land desertification and sand-dust storms in arid and semi-arid areas of Northern China. Related indicators affecting the soil wind erosion of Inner Mongolia Autonomous Region were selected, the GIS technology was used to extract the spatial data, and the Radial Basis Function Network (RBFN) model was construct for assessment of wind erosion hazard. After training the sample data of the different levels of wind erosion hazard of 12 cities (counties), the parameters of the model were obtained, and then the wind erosion hazard assessed for 88 cities (counties) in Inner Mongolia. The resuh shows that in the western parts of Inner Mongolia wind erosion hazard are very severe, counties in the middle regions of Inner Mongolia vary from moderate to severe, and in eastern are slight. The comparison of the result with other researches shows that the result is in conformity with actual conditions, proving the reasonability and applicability of the RBFN model.
出处 《环境科学研究》 EI CAS CSCD 北大核心 2008年第5期129-133,共5页 Research of Environmental Sciences
基金 国家自然科学基金项目(40571130,40701150) 2007年度环保公益性行业科研专项项目(200709008) 中国环境科学研究院中央级公益性科研院所基本科研业务专项资助项目(2007KYYW42)
关键词 内蒙古自治区 土壤风蚀 径向基函数神经网络 危险度评价 Inner Mongolia Autonomous Region soil wind erosion Radial Basis Function Network (RBFN) hazard assessment
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