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作 者:高艺琳 罗明良[1,2] Gao Yiin;Luo Mingliang(School of Geographical Science,China West Normal University,Nanchong 637009;Jialing River Basin Research Institute,China West Normal University,Nanchong 637009)
机构地区:[1]西华师范大学地理科学学院,四川南充637009 [2]西华师范大学嘉陵江流域研究所,四川南充637009
出 处:《中阿科技论坛(中英文)》2024年第5期72-76,共5页China-Arab States Science and Technology Forum
基 金:国家自然科学基金项目(41871324)。
摘 要:坡谱信息熵可以在宏观上反映地形起伏特征和地貌组合差异,且计算相对便捷。为探索坡谱信息熵与区域水土流失之间的关系,文章以西北黄土高原水土保持区为例,基于ALOS数字高程模型(空间分辨率12.5 m)计算研究区内的坡谱信息熵、土壤侵蚀模数,构建坡谱信息熵与土壤侵蚀模数之间的函数关系。研究结果表明:研究区内坡谱曲线主要为“L”形、“S”形,坡谱信息熵值在0.67~1.72nat之间;平均土壤侵蚀模数为1940t/(km^(2)·a)。在流域尺度、二级尺度和三级尺度上,构建坡谱信息熵与土壤侵蚀模数的函数模型,均呈极显著的多项式函数关系,但在流域尺度上,坡谱信息熵与土壤侵蚀模数的关系存在较大不确定性。Slope spectrum information entropy can reflect the differences in topographic relief and geomorphologic combinations at a macro level,and its calculation is relatively easy.Taking the Northwest Loess Plateau as an example,this thesis aims to calculate the slope spectrum information entropy and soil erosion modulus in the study area based on the ALOS digital elevation model(spatial resolution 12.5 m),and construct a functional relationship between the two.The research findings indicate that the slope spectrum curves in the study area are mainly L-shaped and S-shaped,with entropy values ranging from 0.67 to 1.72 nat;The average soil erosion modulus is 1940 t/(km^(2)·a).The function models are also constructed at watershed scale,secondary scale,and tertiary scale,all of which showed a highly significant polynomial function relationship.However,there is significant uncertainty in the relationship between the two at the watershed scale.
分 类 号:P951[天文地球—自然地理学]
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