首页 | 本学科首页   官方微博 | 高级检索  
     检索      

利用侵蚀模型普查黄土高原土壤侵蚀状况
引用本文:张 岩,刘宪春,李智广,朱清科.利用侵蚀模型普查黄土高原土壤侵蚀状况[J].农业工程学报,2012,28(10):165-171.
作者姓名:张 岩  刘宪春  李智广  朱清科
作者单位:1. 水土保持与荒漠化防治教育部重点实验室(北京林业大学),北京,100083
2. 水利部水土保持监测中心,北京,100053
基金项目:北京林业大学优秀青年教师科技支撑专项计划(YX2010-20);“十二五”国家科技计划课题“陕北黄土丘陵沟壑区保水固土水土保持植被研究与示范”(2011BAD38B0601);水利部、财政部,全国水土流失动态监测与公告(1260916100)
摘    要:土壤侵蚀普查对于土地资源保护和自然灾害防治具有重要意义。为了测试抽样方法和土壤侵蚀模型在土壤侵蚀普查中的适用性,该文以陕西吴起县为试点,采用1%均匀抽样方法,调查39个抽样单元的土壤侵蚀影响因子,使用中国侵蚀预报模型CSLE(Chinese soilloss equation)估算土壤侵蚀模数,并与基于遥感数据的水蚀分级分类方法进行比较。两种方法估算的全县平均土壤侵蚀模数分别为4571和5504t/(km2a),但不同分级侵蚀强度的面积和空间分布存在较大差异。抽样方法在土地利用与覆盖、水土保持措施及土壤特性方面获得的信息量大于遥感方法,同时对于区域具有很好的代表性;使用模型估算土壤侵蚀考虑的影响因子与分级方法相比,还包括了土壤可蚀性、坡长因子以及水土保持措施因子等,由此计算的土壤侵蚀模数和强度具有更高的可信度。因此,虽然基于抽样方法和土壤侵蚀模型的土壤侵蚀普查方法也存在一定的问题,但与土壤侵蚀分类分级方法相比具有明显的优越性。

关 键 词:土壤  侵蚀  抽样  遥感  中国土壤侵蚀预报模型  分级分类方法
收稿时间:2011/8/24 0:00:00
修稿时间:2012/4/24 0:00:00

Surveying soil erosion condition in Loess Plateau using soil erosion model
Zhang Yan,Liu Xianchun,Li Zhiguang and Zhu Qingke.Surveying soil erosion condition in Loess Plateau using soil erosion model[J].Transactions of the Chinese Society of Agricultural Engineering,2012,28(10):165-171.
Authors:Zhang Yan  Liu Xianchun  Li Zhiguang and Zhu Qingke
Institution:1(1.Key Laboratory of Soil and Water Conservation and Desertification Combat,Ministry of Education,Beijing Forest University,Beijing 100083,China;2.Soil Conservation Monitoring Center,Ministry of Water Resources,Beijing,100053,China)
Abstract:Soil erosion survey is important for land resources protection and natural disasters prevention.A new soil erosion survey method was proposed and Wuqi county in Shaanxi province was taken as a research object.39 units were sampled by 1% uniform sampling ratio.Chinese soil loss equation(CSLE) was used to calculate soil loss,which was compared with soil loss estimated by "standards for classification and gradation of soil erosion".Average soil erosion modulus by two methods was 4 571 t/(km2 a) and 5 504 t/(km2 a) respectively,but the area and spatial distribution of soil loss in each grade were obviously different between them.More information was obtained on land use/land cover,soil conservation practices and soil properties by uniform sampling survey than that obtained by remote sensing and the information was properly representative of the whole survey region.Compared to "Standards for Classification and Gradation of Soil Erosion",soil erosion effecting factors include else factors such as soil erodibility,slope length and soil conservation practices were considered in CSLE.Therefore,survey results based on sampling and soil loss prediction model are more reliable than those based on remote sensing and "standards for classification and gradation of soil erosion".
Keywords:soils  erosion  sampling  remote sensing  Chinese soil loss equation  standards for classification and gradation of soil erosion
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《农业工程学报》浏览原始摘要信息
点击此处可从《农业工程学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号