基于PSO-PPM模型的江苏省农业水土资源承载力研究  

Study on Carrying Capacity of Land and Water Resources in Jiangsu Province Based on PSO-PPM Model

作　　者：焦晓东[1] 尹庆民[1] 

机构地区：[1]河海大学商学院,江苏南京211100

出　　处：《江西农业学报》2016年第3期87-92,共6页Acta Agriculturae Jiangxi

基　　金：江苏省社会科学基金项目(12EYB004)

摘　　要：在用DPSR模型构建科学指标体系的基础上,利用PSO-PPM模型对江苏省各城市的农业水土资源承载力进行了综合评价,并划分了等级,发现江苏省农业水土资源承载力较高的城市主要集中在苏北及苏中地区,单位面积水资源量、农机化程度、高耗水作物种植比例、水利工程投资等指标作用突出。评价结果符合实际,评价模型客观有效。Based on the index system was established by the DPSR model,using the PSO-PPM model to evaluate the land and water resources carrying capacity,and divided the grade. The results showed that the cities which had much higher land and water resources carrying capacity were mainly concentrated in the northern and central part of Jiangsu province,the indexes such as water resources of,per unit area agricultural degree,the proportion of high water crops,water conservancy investment had higher impact on the overall carrying capacity. The results meet the practice,the evaluation model was objective and effective.

关 键 词：江苏 投影寻踪模型 粒子群算法 农业水土资源 承载力 评价 

分 类 号：F323.2[经济管理—产业经济]