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基于Pleiades影像的东北黑土区沟蚀分异特征研究

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以Pleiades遥感影像为数据源,获取东北典型黑土区2013年的侵蚀沟分布数据,并根据研究区范围内1∶10 000的数字高程模型(digital elevation model,DEM)数据提取坡度、坡向和坡形等地形因子,探讨了各地形因子影响下的侵蚀沟密度与强度规律,全面分析了东北典型黑土区沟蚀分异特征.结果表明:研究区内侵蚀沟总体分布较均匀,但在东北部地区侵蚀沟分布较密集;沟壑密度与强度随坡度的增加总体上呈先增大后减小的趋势,在5°~10°范围内沟壑密度与强度达到最大;研究区中西南、南以及东南三个坡向上的沟壑密度与强度远大于其他坡向,东北和北坡沟壑密度与强度最低;研究区内凹形坡侵蚀沟发生的概率几乎是凸形坡的2倍,直线坡沟壑侵蚀发生的概率最低,且研究区沟蚀密度和强度均与地形具有相关关系.
Study on gully erosion distribution in Northeast black soil areas based on Pleiades
Taking Pleiades remote sensing image as data source,erosion gully distribution of dates of typical black soil area in Northeast in 2013 are obtained,and according to the 1 ∶ 10 000 digital elevation model(DEM) data of study area range,such as slope,aspect and slope-shape were extracted,and the erosion gully density and strength are discussed with the impact of topographical factors,and erosion gully contributions characteristics in typical black soil areas of Northeast are analyzed comprehensively.Results show that:(1) Distribution of erosion gully region in study area is uniform relatively,but in the Northeast,is more dense.Meanwhile,erosion gully distributes around the surrounding low-lying areas mostly.(2) Gully density and strength express first increase and then decrease on the whole with the increase of the slope.Within the range of 5 °~ 10 °,gully density and strength are highest.(3) In study area,erosion gully density and intensity of southwest,south,and southeast aspect is much larger than the other aspect,while gully density and strength of the Northeast and the north aspect is lowest.(4) Concave slope is the main in study area,and the probability of the erosion gully in concave slope is almost double in convex slope.In straight slope gully erosion has the lowest probability.Compared with convex slope,concave slope due to the role of water convergence,can lead to the convergence of the runoff,which lead to erosion easily.

topographical factorserosion gullydigital elevation modeltypical black soil area in Northeast

陈单、张树文、王让虎、蒲罗曼、常丽萍、杨久春

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吉林大学地球科学学院,吉林长春130061

中国科学院东北地理与农业生态研究所,吉林长春130102

地形因子 侵蚀沟 数字高程模型 东北典型黑土区

国家自然科学青年基金资助项目吉林省测绘地理信息局国情监测科技创新项目

41301467

2016

东北师大学报(自然科学版)
东北师范大学

东北师大学报(自然科学版)

CSTPCDCSCD北大核心
影响因子:0.612
ISSN:1000-1832
年,卷(期):2016.48(4)
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