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Evaluation of the Soil Nutrients of Added Cultivated Land Based on Entropy Weight-Fuzzy Comprehensive Method: A Case Study in Chengcheng County, Shaanxi Province

机译:基于熵权综合方法的耕地土壤养分评价 - 以陕西郑城县为例

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In this paper, through the sampling analysis, the entropy weight - fuzzy comprehensive evaluation was adopted to distribute the weight of added cultivated land fertility in Taiyuan District of Weibei, and the soil fertility in the region was further evaluated. At the same time, the main limiting factor impacting soil fertility of the added cultivated land was put forward. The results indicate that 1) Indicators of soil fertility weight of newly-increased farmland in Taiyuan District of Weibei region are as follows: organic matter 20.19%, total nitrogen 20.40%, Olsen-P 33.56%, and Olsen-K 25.85%. 2) The soil fertility scores of these farmland in Chengcheng County under the land consolidation project are dispersed with values ranging from 4.80 to 20.96, with the mean of 11.80. 3) Available phosphorus (AP), soil organic matter (SOM) and available potassium (AK) are the major factors behind low soil fertility indexes. The extent of their impact on soil fertility is ranked as follows: AP>AK>SOM. 4) AP and AK are the most important constraints which lead to low soil fertility of new farmland. The most effective way to improve the composite index of soil fertility is that the content of AK, AP and SOM in the soil should be increased successively. And priority should be given to AP and AK. 5) The adoption of a combination of Analytic Hierarchy Process and weight comparison method has yielded good results in evaluating soil fertility, which implies broad prospect of application.
机译:本文通过采样分析,采用了熵权 - 模糊综合评判来分配渭北太原区耕地土地肥力的重量,进一步评估该地区的土壤肥力。同时,提出了施加着耕地土壤肥力的主要限制因素。结果表明,渭北地区太原区新增农田土壤生育权指标如下:有机物20.19%,总氮20.40%,奥尔森-P 33.56%,醇-K 25.85%。 2)陆城县土地合并项目下的这些农田的土壤肥力分数分散在4.80至20.96的价值,平均值为11.80。 3)可用的磷(AP),土壤有机物(SOM)和可用的钾(AK)是低土壤肥力指标背后的主要因素。它们对土壤肥力的影响程度排名如下:AP> AK> SOM。 4)AP和AK是最重要的制约因素,导致新农田的土壤肥力低。提高土壤肥力复合指数的最有效方法是,土壤中AK,AP和SOM的含量应连续增加。应优先考虑AP和AK。 5)采用分析层次方法和重量比较方法的组合产生了良好的评价土壤肥力,这意味着应用的广阔前景。

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