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模糊综合评价法在南华土壤肥力评价中的应用

Fuzzy integrative evaluation of soil fertility in Nanhua County
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摘要 为掌握南华县土壤养分指标和综合肥力状况,系统采集表、深层土壤样品,选取硼(B)、有机质(SOM)、铜(Cu)、钾(K_(2)O)、锰(Mn)、钼(Mo)、氮(N)、磷(P)、铁(TFe_(2)O_(3))、锌(Zn)和酸碱度(pH)11种土壤养分指标,结合地质背景,对区内主要土壤养分指标的地球化学特征进行研究。通过隶属度函数模型和因子分析,利用模糊评价法对土壤综合肥力进行评价。结果表明:受地质背景影响,区内表层土壤pH平均值为5.33,普遍呈酸性。氮养分和铜、锌等微量元素指标较丰富,磷、钾和有机质等指标相对缺乏,土壤综合肥力状况总体较好,大多数达到肥沃和较肥沃水平。与第二次全国土壤普查结果相比,区内表层土壤pH平均值降低,呈明显酸化,有机质和氮含量总体保持平稳。 In order to evaluate the geochemical characteristics of soil nutrients and soil fertility in Nanhua County,Central Yunnan Province,surface and deep soil samples were systematically collected.11 soil nutrient indicators such as B,SOM,Cu,K_(2)O,Mn,Mo,N,P,TFe_(2)O_(3),Zn,and pH were selected.Combined with the geological background,the geochemical characteristics of the main soil nutrient indicators in the area were studied,using the fuzzy evaluation method through the affiliation function model and factor analysis.The results show that,influenced by geological background,the average pH value of surface soil in the area is 5.33,which is generally acidic.Indicators of nitrogen nutrients and trace elements such as copper and zinc are rich,and indicators of phosphorus,potassium and organic matter are relatively deficient.The comprehensive soil fertility status is generally good,and most of it reaches the level of fertile and more fertile.Compared with the results of the second national soil survey,the average value of pH in surface soil of Nanhua County is lower and acidify.The contents of organic matter and nitrogen hold steady.
作者 黄加忠 张龙 叶雷 李金旺 杨明龙 HUANG Jia-zhong;ZHANG Long;YE Lei;LI Jin-wang;YANG Ming-long(Kunming General Survey of Natural Resources Center,China Geological Survey,Kunming 650000,China;Technology Innovation Center for Natural Ecosystem Carbon Sink,Ministry of Natural Resources,Kunming 650000,China)
出处 《环境生态学》 2024年第10期25-32,共8页 Environmental Ecology
基金 云南镇沅老王寨-墨江金厂金矿重点调查区调查评价(DD20230385) 滇中大姚、姚安、南华、双柏四县土地质量地球化学调查项目(ZD20220211)资助。
关键词 土壤 养分特征 综合肥力 模糊评价法 南华县 Soil nutrient characteristics comprehensive fertility analysis fuzzy evaluation method Nanhua County
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