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干旱区地理 ›› 2015, Vol. 38 ›› Issue (1): 52-59.

• 气候与水文 • 上一篇    下一篇

基于多源数据的皇甫川淤地坝信息提取

弥智娟1,穆兴民2,3,赵广举2,3   

  1. (1   西北农林科技大学 水利与建筑工程学院, 陕西   杨凌   712100;   2   西北农林科技大学 水土保持研究所, 陕西   杨凌   712100;3中国科学院 水利部 水土保持研究所, 陕西杨凌712100)
  • 收稿日期:2014-03-18 修回日期:2014-06-11 出版日期:2015-01-25
  • 通讯作者: 穆兴民(1961-),男,研究员,博士生导师,主要从事生态水文、水土保持研究. Email:xmmu@ms.iswc.ac.cn
  • 作者简介:弥智娟(1987-),女,硕士研究生,研究方向:生态水文、水土保持研究. Email:mzj_sh@163.com
  • 基金资助:

    国家自然科学基金“皇甫川流域泥沙来源的复合指纹示踪研究”(41201266);中国科学院重点部署项目“近百年黄土高原侵蚀环境与水沙变化”(KZZD-EW-04)

Extraction of check dam based on multi-sources data in the Huangfuchuan watershed

MI  Zhi-juan1,MU  Xing-min2,3,ZHAO  Guang-ju2,3   

  1. (1   College of Water Resource and Architectural Engineering, Northwest A&F University, Yangling  712100, Shaanxi, China;2   Institute of Soil and Water Conservation, Northwest A&F University, Yangling  712100, Shaanxi, China;3   Institute of Soil and Water Conservation, Chinese Academy and Sciences and Ministry of Water Resources, Yangling  712100, Shaanxi, China)
  • Received:2014-03-18 Revised:2014-06-11 Online:2015-01-25

摘要: 淤地坝是黄土高原水土流失防治的主要工程措施之一,明确淤地坝重要参数信息对流域水土保持研究具有重要意义。利用皇甫川流域不同数据来源资料包括地形图(1976年)、TM影像(1990年、2007年)、Google Earth影像(2010年)对其进行预处理获取矢量数据,利用遥感及GIS软件实现淤地坝数目、淤地坝位置、水面面积、控制面积等主要信息的提取并分析其动态变化,采用相关系数、NDAIDAI进行提取误差评定。结果表明:皇甫川流域淤地坝数目随年代递增而增加,水面面积和控制面积也随之增大,流域西部淤地坝数目明显少于东部。TM数据上提取的淤地坝水面面积与通过Google Earth数据提取的结果相关系数为0.98,实测淤地坝控制面积与TM影像上提取结果相关系数为0.96,NDAIDAI值平均误差绝对值均<5%。由此得出,基于多源数据淤地坝信息提取技术具有很好的可行性及较高的准确性,本文为淤地坝减水减沙效益及黄河粗泥沙来源研究提供必要的决策支持。

关键词: 多源数据, 皇甫川, 淤地坝, 动态变化

Abstract: For more than 400 years,check dams have been constructed for soil erosion control and agricultural production improvement. The most effective way to conserve soil and water in the Loess Plateau is to construct check dam systems in gullies. Obtaining the check dam information such as location,number,water surface area,dam- controlled area etc.,is very important for soil and water conservation in the watershed. Traditionally,the check dams’ distribution was evaluated by using measurement of topographic maps based on in-situ hydrographic survey with electronic planimeter. However,the traditional approach is usually laborious,costly and time consuming. Advances in remote sensing,geographic information systems and computer technology have made it more convenient and less expensive for obtaining the parameters of check dams. The paper extracted check dam information by making use of multi-sources data in a Loess Plateau catchment. Huangfuchuan Watershed was taken as the study area because it was seriously exposed to severe soil and water loss and had been built larger number of check dams to intercept sed- iment that discharged into the Yellow River. Multi-sources data of the Huangfuchuan Watershed including topogra- phic maps (1976),landsat5-TM data (1990,2007) and Google Earth (2010) were collected for check dam interp- retation. The multi-sources data were preprocessed by geometric correction and eliminating cloud effects under the support of GIS spatial analysis techniques. The cloud cover of every image was less than 5% because the identificat- ion of check dams became somewhat complicated due to the disturbances from shadows. The topographic maps and Google Earth images can be directly used to extract check dams by analyzing the boundary outline of check dams on the GIS software platform. Based on the characteristics of visible light with high reflectivity from the surface,the Lan- dsat5-TM data was used to extract the check dams. The combination of bands 7,4 and 3 were used to separate water bodies in check dams from surrounding surface features by Erdas application. The results were verified based on fie- ld measurement through GPS. The results indicated that 392 check dams in 1976 were extracted from topographic maps,while 445 in 1990,504 in 2007,and 567 in 2010 were extracted from the images. The check dams in the west of the Huangfuchuan Watershed were much less than those in the east. The water surface area of check dams extrac- ted from the Landsat images was highly consistent with those of Google Earth images. 16 randomly selected check dams were chosen to verify the interpretation results through field survey. Whereas the dam-controlled areas between the landsat5-TM data and the field measured data showed good agreement with R2 higher than 0.96. It suggested that the topographic maps and Landsat images can be used for identifying the check dams. The NDAI (Normalized Difference Area Index) and DAI (Difference Area Index) falls within the range between -1 and 1. When the values is close to 0 giving the best linear fit between the surface water areas extract from Google Earth image and Landsat5- TM data respectively. Two indices showed that there was a very good linear fit between the different source data with extremely significance. Historically,dynamics in the check dams number,water surface area of check dams and dam-controlled area indicated their substantial trapping effects on stream flow and sediment load in the watershed. This study proved that the proposed approach can be applied for check dam extraction and may make it possible to analyze dynamic change of check dams. The results can be used to estimate of sediment trapping efficiency resulting from check dams and may provide decision supports for soil and water conservation in the Loess Plateau.

Key words: multi-sources data, Huangfuchuan, check dam, dynamic change

中图分类号: 

  • TP751