干旱区生态环境知识资源中心(Arid): 基于土壤粒度和大风日数的风蚀风险预报

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	基于土壤粒度和大风日数的风蚀风险预报
其他题名	Wind erosion prediction based on soil particle size characteristics and strong wind days
	蒙仲举; 高永; 王淮亮; 任晓萌
来源期刊	农业工程学报
ISSN	1002-6819
出版年	2015
卷号	31 期号:6 页码:186-192
中文摘要	为寻求一种较为简便、广泛适用的土壤潜在风蚀风险评价方法体系,选取内蒙古中西部的吉兰太戈壁、乌兰布和半固定沙地、毛乌素沙地、武川农田和希拉穆仁草原5种典型风蚀试验区,基于数字图像技术,获取地表不可蚀颗粒含量,结合地区大风日数资料,建立土壤潜在风蚀风险指数方程,并进行实地验证。结果表明:吉兰太戈壁、灌丛地表已经处于粗化过程后期,抗风蚀能力较强,平均抗风蚀指数分别为91.40%和81.40%。由于灌丛群落的存在,乌兰布和沙漠半固定沙地土壤颗粒空间分布差异明显,导致土壤抗风蚀能力呈现不同程度的差异。毛乌素沙地风成沙物质颗粒较细,抗风蚀指数仅为13.40%,极易起沙。应用土壤潜在风蚀风险方程实地表征所得结果与实际情况吻合,与人类活动关系最为密切的农田、草原土壤潜在风蚀风险最高。研究结果可实现科学、有效地预测地表潜在风蚀风险,为干旱、半干旱地区风蚀荒漠化监测提供理论依据和技术支撑。
英文摘要	Wind erosion is a severe environmental problem in arid, semi-arid region of the world, and it occurs frequently in northwest part of China and leads to soil degradation. Inner Mongolia is located in Northern China as a very important ecological barrier with various of landforms including desert, grassland and forest. In order to quantify the regional soil degradation degree and predict potential wind erosion risk, 5 typical sites of wind erosion, i.e. Jilantai Gebi, Ulan Buh desert, Mu Us sandy land, Wuchuan farmland and Xilamuren Grassland were chosen as experimental sites. Based on digital image technology, the pictures of these 5 sites were taken using Canon EF24-105 mm, and the grey scale information of the images was analyzed by Erdas-Image software; an area compensation equation was established to obtain the actual particle size, and then the residual amount of coarse surface was calculated. On the basis of wind erosion estimation model of Inner Mongolia Houshan Area, surface un-erodible particle (>0.84 mm) was chosen as key indicator combined with local strong wind days, and then an applicable soil erosion potential risk exponential equation was established and the soil potential wind erosion risk was evaluated. The results suggested that wind erosion was a physical process of erodible particle loss, as a result, serious degradation surface kept a high content of coarse grains. Jilantai Gebi and surface around shrub has experienced severe wind erosion, for there existed a large proportion of coarse particles, indicating that the area was in late period of the coarsening process with strong anti-erosion ability, and the average anti-erosion indices were 91.40% and 81.40% respectively. Soil particles of Ulan Buh Desert showed obvious spatial heterogeneous characteristics due to the effect of few shrub communities, and the soil anti-wind erosion ability was Artemisia xerophytica Krasch plot > Artemisia arenaria DC.plot > Nitraria tangutorum plot.
中文关键词	土壤 ; 侵蚀 ; 风 ; 数字图像技术 ; 不可蚀颗粒 ; 抗风蚀能力 ; 土壤潜在风蚀风险指数
英文关键词	soil erosion wind numerical image technology non-erodibility particle ability of anti-wind erosion potential wind erosion risk
类型	Article
语种	中文
国家	中国
收录类别	CSCD
WOS类目	Agriculture
WOS研究方向	Agriculture
CSCD记录号	CSCD:5395397
来源机构	内蒙古农业大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/233020
作者单位	蒙仲举, 内蒙古农业大学生态环境学院,中央与地方共建风沙物理重点实验室, 呼和浩特, 内蒙古 010019, 中国.; 高永, 内蒙古农业大学生态环境学院,中央与地方共建风沙物理重点实验室, 呼和浩特, 内蒙古 010019, 中国.; 王淮亮, 河北省水利技术试验推广中心, 石家庄, 河北 050061, 中国.; 任晓萌, 内蒙古气象科学研究所, 呼和浩特, 内蒙古 010051, 中国.
推荐引用方式 GB/T 7714	蒙仲举,高永,王淮亮,等. 基于土壤粒度和大风日数的风蚀风险预报[J]. 内蒙古农业大学,2015,31(6):186-192.
APA	蒙仲举,高永,王淮亮,&任晓萌.(2015).基于土壤粒度和大风日数的风蚀风险预报.农业工程学报,31(6),186-192.
MLA	蒙仲举,et al."基于土壤粒度和大风日数的风蚀风险预报".农业工程学报 31.6(2015):186-192.