img

官方微信

高级检索

中国沙漠 ›› 2017, Vol. 37 ›› Issue (6): 1071-1078.DOI: 10.7522/j.issn.1000-694X.2016.00094

• 沙漠与沙漠化 • 上一篇    下一篇

适用于河北坝上地区的农田风蚀经验模型

王仁德1, 常春平2, 郭中领2, 李庆1   

  1. 1. 河北省科学院 地理科学研究所/河北省地理信息开发应用工程技术研究中心, 河北 石家庄 050021;
    2. 河北师范大学 资源与环境科学学院/河北省环境演变与生态建设省级重点实验室, 河北 石家庄 100875
  • 收稿日期:2016-05-30 修回日期:2016-07-12 出版日期:2017-11-20 发布日期:2017-11-20
  • 作者简介:王仁德(1980-),男,河北黄骅人,博士,副研究员,主要从事土壤风蚀与风沙灾害防治方面的研究。E-mail:wangrende10@163.com
  • 基金资助:
    国家自然科学基金项目(41630747,41330746,40110251);河北省自然科学基金项目(D2013302034,D2014205063);河北省科学院科技计划项目(16103)

A Wind Erosion Empirical Model of Farmland Applied in Bashang Area of Hebei, China

Wang Rende1, Chang Chunping2, Guo Zhongling2, Li Qing1   

  1. 1. Institute of Geographical Sciences/Hebei Engineering Research Center for Geographic Information Application, Heibei Academy of Sciences, Shijiazhuang 050011, China;
    2. College of Resource and Environment Sciences/Hebei Key Laboratory of Environmental Change and Ecological Construction, Hebei Normal University, Shijiazhuang 050024, China
  • Received:2016-05-30 Revised:2016-07-12 Online:2017-11-20 Published:2017-11-20

摘要: 目前,中国缺少一种被广泛认可、普遍适用于中国自然条件的农田风蚀模型。本研究利用多年的野外风沙观测数据和风洞模拟实验结果,建立了一种基于河北坝上地区自然环境的农田风蚀经验模型。该模型涵盖风力侵蚀因子、粗糙干扰因子和土壤抗蚀因子三大风蚀影响因子,包括起沙风速、地表粗糙度、土壤可蚀性和土壤含水率四大风蚀影响要素,可对各种农田地表的风蚀量进行定量计算和预测。应用该模型对坝上地区2013年风蚀季农田风蚀量进行定量计算。结果表明,翻耕耙平地的平均风蚀量为39.45 t·hm-2·a-1,莜麦留茬地的平均风蚀量为14.08 t·hm-2·a-1,与采用其他方法得到的结果比较接近。在更广泛地区对模型进行验证和修订,促进该风蚀模型与“3S”技术融合是下一步的重点工作。

关键词: 风蚀经验模型, 农田, 风力侵蚀因子, 粗糙干扰因子, 土壤抗蚀因子, 坝上

Abstract: There is not a wind erosion model so far that is widely accepted and can be well applied in farmland of China. A wind erosion empirical model applied in farmland of Bashang area, Hebei province was established in the study by years of field observation and wind tunnel simulation. The model was composed of wind erosivity factors, roughness interference factors and soil anti-erodibility factors and included four main elements of influencing wind erosion, which were threshold wind velocity, surface roughness, soil erodibility and soil water content. It can quantitatively estimate and predict soil loss by wind erosion for various farmland surfaces. The soil loss of farmland in the wind erosion season of 2013 was calculated using the model in the Bashang area of Hebei Province. The results showed that the average soil loss by wind erosion was 39.45 t·hm-2 on ploughed and raked field and 14.08 t·hm-2 on oat stubble field, which were close to the results obtained by other methods. Validation and revision of the model in a wider area and promoting the technology integration between this model and "3S" technology are the main work in the future.

Key words: wind erosion empirical model, farmland, wind erosivity factors, roughness interference factors, soil anti-erodibility factors, Bashang area

中图分类号: