中国农业大学学报2025，Vol.30Issue(10)：10-24,15.DOI:10.11841/j.issn.1007-4333.2025.10.02
基于赋权-Topsis模型组合的梨树县耕地质量评价及障碍因子分析
Cultivated land quality evaluation and obstacle factor analysis of Lishu County based on the weighting and Topsis model combination
摘要
Abstract
This study aimed to investigate the cultivated land quality and identify key obstacle factors in Lishu County,a typical black soil area of Northeast China.A comprehensive evaluation index system was established based on incorporating site conditions,profile characteristics,physicochemical properties,nutrient status,and management practices.To mitigate the bias of single-weighting methods,this study combined the experience-based Analytic Hierarchy Process with the data-driven entropy weight method to determine the indicators' weights more comprehensively and objectively.Subsequently,the Topsis model was used to quantitatively assess the spatiotemporal differentiation in cultivated land quality from 2017 to 2021,while an obstacle factor model was introduced to identify key limiting factors.The results indicate that:Temporally,the grade structure of cultivated land quality improved,shifting from predominantly low to medium grade to medium-to-high grade.The average grade improved from 2.97(dominated by grades 3 to 4)in 2017 to 2.91(dominated by grades 2 to 3)in 2021,representing an overall increase of 0.06.Spatially,a quality degradation was observed in the southwestern region,whereas the northeastern and central regions increased significantly.Notably,the area of improvement exceeded the area of decline.The results of obstacle factor analysis identified that irrigation capacity,soil texture,and terrain position were core limiting factors,and the secondary obstacles included drainage capability,pH,arable layer thickness,and organic matter content.In conclusion,the integration of multi-dimension indicators with a combined weighting method effectively reveals the spatiotemporal evolution and limiting factors of cultivated land quality and provides a scientific basis for implementing differentiated conservation strategies.关键词
梨树县/耕地质量/层次分析法/熵权法/Topsis模型/障碍因子模型Key words
Lishu County/cultivated land quality/analytic hierarchy process/entropy weight method/Topsis model/obstacle factor model分类
管理科学引用本文复制引用
刘湘君,刘长河,徐圣贤,刘冬,刘建东,乔冠宇,周文涛,黄元仿..基于赋权-Topsis模型组合的梨树县耕地质量评价及障碍因子分析[J].中国农业大学学报,2025,30(10):10-24,15.基金项目
国家重点研发计划(2021YFD1500201) （2021YFD1500201）
