黄河三角洲土壤质量自动化评价及指标体系研究

Evaluation index systems of soil quality in the Yellow River Delta

  • 摘要: 采用4种评价方案,利用相关系数法确定指标权重,利用隶属度函数计算指标隶属度,采用综合指数法,在Arcgis中进行黄河三角洲土壤质量的自动化评价和比较。结果表明:利用GIS自动化评价土壤质量快速准确;基于土壤全量养分和速效养分的评价差异较小,两者可选其一;基于土壤有机质和土壤含盐量指标的评价与土壤质量的全面评价(基于土壤全量、速效养分、有机质、含盐量、地下水埋深及矿化度)之间差异较小,在其他数据有限的前提下,土壤质量可以用土壤有机质和盐分含量指标评价。

     

    Abstract: The soil quality was evaluated by using four schemes with Arcgis, in which the index weight was determined with correlation analysis method, the index membership degree with membership function. Results show that the soil quality evaluation based on GIS is fast and accurate. The difference between the results evaluated by the total contents of soil nutrients and by the soil available nutrients is not obvious and the two index schemes can be used alternatively. The results evaluated by soil organic matter and salt contents present similar outcomes to that by the comprehensive index system including soil total nutrients, available nutrients, organic matter, salt content, groundwater level and mineralization degree. Therefore, the organic matter and salt contents can be used to evaluate the soil quality in the case of limited evaluation data.

     

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