摘要
评估区域土地利用冲突强度,揭示引起冲突的内在机理,对促进区域可持续健康发展具有重要意义。以南昌市为例,基于PSR模型构建了区域土地利用冲突强度诊断指标体系,并引入指标权重对传统灰靶模型进行改进,构建基于熵权的改进灰靶模型,进而对南昌市2006—2015年土地利用冲突强度进行诊断。结果表明:(1)2006—2015年,南昌市土地利用冲突压力靶心度值持续增长且变化率不断加大,表明南昌市城市化进程在不断加快,发展势头强劲,同时给土地利用带来一定压力。(2)南昌市土地利用冲突强度在波动中呈缓慢增强的趋势,综合靶心度值由2006年的0.796上升至2015年的0.828,变化率仅为3.86%,得益于全市在推进城市化进程中对土地生态环境的重视。(3)与加权函数法相比,改进灰靶模型得到的靶心度值的变化趋势与其基本一致,说明改进灰靶模型也能够用于土地利用冲突强度诊断,为该类问题的研究提供参考。
Assessment of the intensity of regional land use conflict and revelation of the inherent mechanism of land use conflict are of great significance for sustainable and healthy development of the region.Based on the related research results,this paper has constructed the evaluation index system of regional land use conflict intensity based on PSR model. Index weight was introduced to improve the traditional gray target model.Then an improved gray target model based on entropy weight was used to diagnose the intensity of land use conflict of Nanchang City in 2006—2015.The results showed as follows.（ 1） From 2006 to 2015,the pressure approaching degree of land use conflict in Nanchang continued to increase and the rate of change was increasing,indicating that the process of urbanization in Nanchang was accelerating and the development momentum was strong,which brought about some pressure to land use.（ 2） The intensity of land use conflict had a slow growth trend in volatility in Nanchang.Thanks to the city＇s emphasis on the ecological environment of the land in the process of urbanization,the integrated approaching degree of land use conflict increased from 0. 796 to0.828 during the period of 2006—2015,and the rate of change was only 3.86%.（ 3） Compared with the weighted function method,the improved grey target model has a similar trend of approaching degree,which indicates that the improved gray target model can be used for diagnosis of the intensity of land use conflict.All this provides reference for the research of land use conflict.
出处
《江西农业大学学报》
CAS
CSCD
北大核心
2017年第6期1256-1263,共8页
Acta Agriculturae Universitatis Jiangxiensis
基金
江西省科技重大专项(20114ABG01100)
江西省教育厅科技项目(GJJ150421)~~
