多变量指标克立格法 Multiple-variable indicator kring method | 利用多变量指标转换生成土壤质量结合GIS完成评价 Using multiple-variable transformation to integrate soil quality combined with GIS to complete the evaluation | 自动评价、动态监测,扩展评价范围 Automatic evaluation, dynamic monitoring, expanding the scope of evaluation | 运算过程复杂,模型选择缺乏依据 Complicated calculation process, lack of basis for model selection | [8], [34] |
土壤质量动力学方法 Dynamics method | 利用系统动力学的方法描述土壤质量的变化 Using system dynamic method to describe changes in soil quality | 可动态、持续监测土壤质量 Dynamic and continuous monitoring of soil quality | 无法进行大空间尺度下土壤质量的比较 Unable to compare soil quality at large spatial scales | [5] |
土壤质量综合评分法 Integrated scoring method | 通过生产量、土壤侵蚀量、地下水、地表水、大气和食物质量评价土壤质量 Evaluating soil quality through production, soil erosion, groundwater, surface water, air and food quality | 可全方位、多角度评价土壤质量 Comprehensive and multi-angle evaluation of soil quality | 权重影响因素较多,计算较为 困难 Difficult to calculate weight with numberous factors influencing weight | [35] |
土壤相对质量法 Relative quality method | 以假设的理想土壤为标准,评估研究区土壤的相对质量 Evaluating relative quality of the soil in the study area with hypothetical ideal soil as the standard | 可定量评估土壤质量,能够进行比较 Quantitative assessment of soil quality, able to compare | 需选择理想土壤,若选择不当造成评价偏差 Evaluation bias caused improper selection of ideal soil | [8], [36] |
土壤质量指数法 Soil quality index method | 针对土壤功能选取指标,将指标定量化并综合生成土壤质量指数 Quantifying indicators and integrating a soil quality index selected for soil function | 适用于土壤可持续管理,应用范围较广 Suitable for sustainable soil management with a wide range of applications | 评价过程中部分受主观影响,易出现偏差 Partly influenced by subjectivity, prone to deviation | [25], [37] |
灰色关联分析法 Grey relational analysis method | 通过关联度和关联序反映各评价对象与理想对象的接近次序,对评价对象进行比较 Evaluating close order and comparing the evaluation objects between objects and ideal object by correlation degree and order | 方法简便,评价结果客观 Easy to get an objective evaluation result | 若指标值离散,会丢失部分信息 Prone to lose information with discrete values of indicators | [38] |
物元法 Matter-element method | 以物元理论和可拓集合理论为基础,建立多指标性能参数的质量评定模型 Establish a quality evaluation model for multi- index performance parameters based on matter- element and extension set theory | 解决单项指标评价的不相容性 Solving the incompatibility of individual index evaluation | 计算过程相对复杂 Relatively complicated calculation process | [39] |
人工神经网络法 Artificial neural network method | 通过样本训练使模型进行自学习、自适应,再利用模型对土壤质量进行评价 Training the model for achieving self-learning and adaptive through samples to evaluate soil quality | 自动化程度高,避免主观干扰 Avoiding subjective interference with high degree of automation | 若学习样本选取不当,易造成评价偏差 Evaluation bias caused improper selection of learning samples | [40] |
TOPSIS法 TOPSIS method | 计算样本与最优解和最劣解的相对距离来评价样本的优劣 Calculating the relative distance between samples and the optimal/worst solution to evaluate the quality of samples | 排除主客观权重导致的误差 Eliminating errors caused by subjective and objective weights | 量化指标较难,灵敏度不高 Difficult to quantify the index, low sensitivity | [41] |