位置:成果数据库 > 期刊 > 期刊详情页
塔里木河中游典型绿洲盐渍化土壤的反射光谱特征
  • ISSN号:1007-6301
  • 期刊名称:地理科学进展
  • 时间:0
  • 页码:921-932
  • 分类:P627[天文地球—地质矿产勘探;天文地球—地质学]
  • 作者机构:[1]新疆大学资源与环境科学学院,乌鲁木齐830046, [2]新疆大学绿洲生态教育部重点实验室,乌鲁木齐830046, [3]中国科学院新疆生态与地理研究所,乌鲁木齐830011, [4]新疆策勒荒漠草地生态系统国家野外科学观测研究站,新疆策勒848300
  • 相关基金:国家重点基础研究发展计划项目(2009CB421302); 国家自然科学基金项目(40961025);国家自然科学青年基金项目(40901163,41001198); 新疆大学博士毕业生科研启动基金项目(BS110125); 资源与环境信息系统国家重点实验室开放基金项目(2010KF0003SA); 教育部促进与美大地区科研合作与高层次人才培养项目
  • 相关项目:干旱区土壤盐渍化微波遥感监测方法研究与验证
中文摘要:

研究盐渍化土壤的光谱特性是利用遥感技术实现在区域尺度上进行土壤盐渍化监测和评价的工作基础,是建立地面数据和遥感数据关系的桥梁。本文以塔里木河中游典型绿洲——渭干河-库车河三角洲绿洲为研究对象,采用光谱学技术以及多元统计相结合的方法,研究干旱区典型绿洲盐渍化土壤的反射光谱特征。首先,对光谱数据进行预处理(去噪、剔除水分吸收波段),以便消除仪器本身噪声及外界条件的影响,并且计算了部分盐渍地样本的光谱吸收特征参数,说明相同程度的盐渍化土壤具有相似的吸收特征;其次,研究盐渍化土壤的反射光谱与盐分因子(八大离子、电导率(EC)、含盐量(salt content)、pH、总溶解固体(TDS)等)之间的关系,并选择具有代表性的盐分因子与野外实测光谱数据建立定量回归模型,通过多元线性回归分析得出含盐量、SO4^2-、TDS、EC与原始光谱数据的相关性分别是0.746、0.908、0.798和0.933,达到了理想的效果。本研究对于干旱区典型绿洲盐渍土的光谱特征研究有着重要指示意义,为发展和完善中国盐渍土理化特征的可见光-近红外反射光谱分析理论奠定科学积累,并进一步为干旱区土壤盐渍化、沙漠化灾害等环境恶化问题的解决提供新的科学技术手段。

英文摘要:

With the economic development and the population increase, unreasonable land development has caused ecological problems such as degradation, while soil salinization becomes a major concem in arid and semi-arid areas. It is a basic work to study the spectrum characteristics of soil salinization by using remote sens-ing technology to achieve the monitoring and evaluation of soil salinization at regional scale, and to establish the relationship between ground data and remote sensing data. In this paper, the author takes the delta oasis of Weigan and Kuqa rivers located in the middle reaches of Tarim River as study areas by using spectroscopy tech-nology and multivariate analysis technology method. This paper studies the correlations between salt-affected soil chemical properties and reflectance spectrum in the middle reaches of Tarim River. Firstly, ASD spectrome-ter was used to measure spectral data in surface features. The spectral data should be removed from the equip-ment itself and the extemal conditions such as noise. Aiming at this experimental application study, we chose ap-propriate methods from the existing spectral matching processing technologies such as spectral absorption index. Secondly, the paper focused on retrieving soil chemical characteristic parameters (including ions, electricity con-ductivity, salt content, pH, TDS) from the hyperspectral data. By using single-correlation analysis, the quantify-ing regression models between salinized soil reflectance and soil ions, electricity conductivity, salinity, pH, TDS were established. It is shown that the correlation coefficient of salt content is 0.746, of sulfate ion is 0.908, of to- tal dissolved solid is 0.798 and of electricity conductivity is 0.933. The result achieved a good effect. To sum up, the result of this research will produce a significant meaning for the research on the saline-alkali soil in the arid area. Furthermore, since a large part of Xinjiang belongs to the arid area, taking the delta oasis of Weigan and Kuqa rivers as the st

同期刊论文项目
同项目期刊论文
期刊信息
  • 《地理科学进展》
  • 北大核心期刊(2011版)
  • 主管单位:中科院出版委员会
  • 主办单位:中国科学院地理科学与资源研究所
  • 主编:李秀彬
  • 地址:北京安外大屯路甲11号917大楼
  • 邮编:100101
  • 邮箱:editor@progressingeograply.com
  • 电话:010-64889313
  • 国际标准刊号:ISSN:1007-6301
  • 国内统一刊号:ISSN:11-3858/P
  • 邮发代号:2-940
  • 获奖情况:
  • 全国中文核心期刊
  • 国内外数据库收录:
  • 日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),中国北大核心期刊(2000版)
  • 被引量:30394