关键词: 土壤质量, 评价方法, 数学模型

Abstract:

At present soil quality evaluation is one of research focuses for soil science. The introduction of mathematical methods makes soil quality evaluation more objective and accurate. This paper introduces and evaluates several mathematical models commonly used currently. By Analytic Hierarchy Process (AHP) model, the qualitative and quantitative evaluation could be commendably combined. AHP model has good logical and systematic characteristics. The artificial neural networks (ANN), a non-linear relation between soil quality and evaluating indicators could be translated into neural network mode. It has strong self-organizing and self-adjusting ability. The set pair analysis (SPA) model considers the soil quality evaluating indicators and the indicators quality standards as one set pair combining the above two, so as to use their connection degrees to determine the different levels of evaluation. The fuzzy mathematical model takes the gradual changes and ambiguity of soil quality status into consideration, which makes the evaluation results more realistic. The introduction of GIS (global information system) and its combination with other mathematical methods make the dynamic evaluation of soil quality and management possible.

Key words: soil quality, evaluation methods, mathematical model