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对云南新平大红山铁矿区土壤侵蚀预测技术的初步研究
A PRELIMINARY STUDY OF PREDICTING TECHNIQUES OF SOIL EROSION IN DAHONGSHAN IRON MINE IN XINPING,YUNNAN
【摘要】 采用基于3S技术的定量遥感方法,探索获得了云南新平大红山铁矿区土壤流失预测方法,主要包括预测模型和侵蚀因子算式与算法的雏形。结果表明,全区土壤流失面积5.53km2,占矿区总面积的65.07%,年土壤流失量4.83×104t。矿区50年之后,土壤流失面积变化不大,年流失量下降为2.74×104t,减少了43.27%。完成土地生物复垦后的土壤流失变化趋势是强度及其以上级别的土壤侵蚀量降低,中度及其以下的侵蚀量增加。本预测技术有快速、经济的特点,经过补充、完善后在云南矿区有广阔的运用推广前景。
【Abstract】 Based on qualitative RS and GIS techniques, a predicting method for soil erosion in Dahongshan Iron Mine, Xingping, Yunnan, was developed. It includes a predicting model and a number of techniques for erosion factor quantification. With this method, the erosion area in the mine area was predicted to be 5.53 km2, and the annual soil loss be 4.83×104 t. The modeling also shows that, the erosion area will not change much after 50 years, but the annual soil loss will drop to 2.74×104 t, with a reducing rate of 43.27%. The predicting method is useful in mine site in Yunnan after more improvement made.
【Key words】 soil erosion; dynamic monitoring; qualitative remote sense; muddling prediction;
- 【文献出处】 云南地理环境研究 ,Yunnan Geographic Environment Research , 编辑部邮箱 ,2005年01期
- 【分类号】TD167
- 【被引频次】3
- 【下载频次】128