生态科学2025，Vol.44Issue(3)：63-73,11.DOI:10.14108/j.cnki.1008-8873.2025.03.007
非负矩阵分解的江西省资源环境承载力评价
Evaluation of resource and environmental carrying capacity in Jiangxi Province based on NMF
摘要
Abstract
Based on the perspective of system theory,24 indicators were selected from social economy system,resource system and environment system to construct the resource and environmental carrying capacity evaluation index system for Jiangxi province.The non-negative matrix factorization method(NMF)was introduced into the evaluation of resource and environment carrying capacity,and for the first time,the comprehensive carrying capacity based on NMF was defined to quantitatively measure and systematically analyze the resource and environmental carrying capacity status of Jiangxi province,while employing principal component analysis(PCA)and grey correlation method for validation analysis of the assessment results.Then,the obstacle degree model based on NMF was constructed to diagnose the major obstacle factor affecting the carrying capacity mostly.At last,resource and environmental carrying capacity prediction model based on NMF and support vector machine(SVM)was established to forecast the evolution trend.Study results show:(1)Resource and environmental carrying capacity degree demonstrated an overall fluctuating upward trajectory,rising from 0.0956 in 2004 to 0.8111 in 2019,owing to rapid development of the social economy,which was the direct driving force to promote the resource and environmental carrying capacity.(2)The results calculated by NMF,PCA and grey relational analysis showed the same trend of fluctuations and reach an unanimous conclusion,and NMF evaluation result was more objective.(3)Social economy system and resource system were the main factors to restrain the improvement of resource and environmental carrying capacity,the industrial waste gas emission per 10000 RMB yuan GDP and per capita built-up area were the most important influence factors.(4)Compared with BP neuron network and grey model,the proposed prediction model based on NMF and SVM has a better accuracy to predict the evolution trend of resource and environmental carrying capacity in Jiangxi province.关键词
非负矩阵分解/灰色关联度/主成分分析/资源环境承载力/江西省Key words
non-negative matrix factorization/grey relational degree/principal component analysis/resource and environmental carrying capacity/Jiangxi Province分类
资源环境引用本文复制引用
唐勇波,丰娟,龚国勇,彭涛..非负矩阵分解的江西省资源环境承载力评价[J].生态科学,2025,44(3):63-73,11.基金项目
国家自然科学基金项目(62173350) （62173350）
江西省教育厅科技研究项目(GJJ211609) （GJJ211609）
