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杭锦旗黄河南岸灌区土壤质量指数计算方法比较研究

周文涛 潘岳 乔冠宇 朱金籴 佟长福 王贵平 杨智 李品芳

中国农业大学学报2024,Vol.29Issue(4):251-263,13.
中国农业大学学报2024,Vol.29Issue(4):251-263,13.DOI:10.11841/j.issn.1007-4333.2024.04.22

杭锦旗黄河南岸灌区土壤质量指数计算方法比较研究

Comparative study on the calculation methods of soil quality index in the south bank of Yellow River irrigation area of Hangjin Banner

周文涛 1潘岳 1乔冠宇 1朱金籴 2佟长福 3王贵平 4杨智 4李品芳1

作者信息

  • 1. 中国农业大学土地科学与技术学院,北京 100193
  • 2. 开封市农林科学研究院,河南开封 475004
  • 3. 水利部牧区水利科学研究所,呼和浩特 010020
  • 4. 杭锦旗黄河灌排服务中心,内蒙古鄂尔多斯 017400
  • 折叠

摘要

Abstract

The purpose of this study is to investigate the differences and optimal combinations of different quality index calculation methods in the soil quality evaluation process.A total of 11 physical and chemical indicators from 79 soil samples in the south bank of Yellow River irrigation area of Hangjin Banner,Inner Mongolia were collected and measured,and a minimum data set based on the principal component analysis was constructed.Moreover,this study compared the soil quality indices calculated under the combination of two weighting methods(principal component analysis and analytic hierarchy process)and three index scoring methods(membership function,linear scoring function,and nonlinear scoring function),and obtained the optimal combination of methods through the correlation accuracy test with the total data set.The results showed that:1)The analytic hierarchy process determined higher weights for physical indicators and lower weights for available nutrient indicators than the principal component analysis.The distribution trend of index score calculation results by membership function,linear scoring function,and nonlinear scoring function was basically consistent,but the membership function had a higher degree of differentiation when scoring the physical indicators.2)The highest accuracy of correlation test for the minimum data set soil quality index was calculated using the analytic hierarchy process to determine the weights,and the membership function to determine the index scores,with R2=0.85,the Nash-Sutcliffe efficiency coefficient of 0.81,and the relative deviation coefficient of 0.04.3)The range of soil quality indices calculated for two datasets under the optimal combination of methods was 0.25-0.71 and 0.16-0.78,respectively,with mean values of 0.43 and 0.45,indicating that the soil quality in the study area was at a moderate level.In summary,this study determined the optimal combination of methods to accurately evaluate the soil quality in the south bank of Yellow River irrigation area in Hangjin Banner,and provided reference for the selection of index weights and score calculation methods in further studies.

关键词

土壤质量指数/主成分分析法/层次分析法/最小数据集/黄河南岸灌区

Key words

soil quality index/principal component analysis/analytical hierarchy process/minimum data set/south bank of Yellow River irrigation area

分类

农业科技

引用本文复制引用

周文涛,潘岳,乔冠宇,朱金籴,佟长福,王贵平,杨智,李品芳..杭锦旗黄河南岸灌区土壤质量指数计算方法比较研究[J].中国农业大学学报,2024,29(4):251-263,13.

基金项目

鄂尔多斯市科技重大专项项目(2021ZD社17-18) (2021ZD社17-18)

中国农业大学学报

OA北大核心CSTPCD

1007-4333

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