资源型城市土地生态安全预警与障碍因子诊断

(安徽农业大学 经济管理学院,安徽 合肥 230036)

资源型城市; 土地生态安全; 预警; PSR模型; 障碍因子; GM(1,1)模型

A Study of the Early-warning for Land Ecological Security of Resource-dependent Cities and the Diagnosis of Obstacle Factors
ZHOU Ying,HE Ru-hai,LU Ya-wen,LI Qing-song

(College of Economics and Management, Anhui Agricultural University, Hefei 230036, China)

resource-dependent city; land ecological security; early warning; PSR model; obstacle factor; GM(1, 1)model

DOI: 10.15986/j.1008-7192.2020.02.007

备注

以马鞍山市为例,从时间维度对研究区土地生态安全进行动态预警评价及障碍因子诊断,为资源型城市保持区域土地生态安全和社会经济可持续发展提供参考。基于PSR模型,构建马鞍山市土地生态安全预警指标体系,综合运用熵权法、综合指数法测算2007-2017年马鞍山市土地生态安全指数,结合障碍因子分析法诊断影响其土地生态安全的主要障碍因子,并对马鞍山市未来5年的土地生态安全发展趋势进行动态预测。研究发现,11年研究期内马鞍山市土地生态安全综合指数增长态势良好; 从准则层和指标层的障碍度看,压力及状态子系统对未来马鞍山市土地生态安全状况起到主要限制作用; GM(1,1)模型预测结果表明,2018-2022年研究区综合指数值走势向好发展。

Taking Maanshan City as an example, the paper evaluates the early warning system for the ecological security dynamically and diagnoses the obstacle factors of the land in the study area. It aims to provide reference for maintaining the future ecological security of regional land and the socio-economic sustainable development in resource-dependent cities. Based on the PSR model, the early warning index system of land ecological security in Maanshan City was constructed. The entropy weight method and comprehensive index method are used to calculate the ecological security index of Maanshan City from 2007 to 2017. By means of obstacle factor analysis the main obstacle factors affecting the ecological security of the land are diagnosed. Accordingly the paper predicts dynamically the development trend of land ecological security in Maanshan City in the next five years. It is found that: 1)in these 11 years, the comprehensive index of land ecological security in Maanshan City grew well; 2)from the perspective of obstacle amounts in layers of criterion and index, the subsystems of both pressure and condition play a major role to restrain the future ecological security of Maanshan City; 3)the prediction results of GM(1,1)model indicate that the trend of the comprehensive index in the study area of 2018-2022 is developing well.