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| 基于PSR-TOPSIS模型的山东省土地生态安全评价 |
| Evaluation of Land Ecological Security in Shandong Province Based on PSR-TOPSIS Model |
| 投稿时间：2015-11-12 |
| DOI：10.13254/j.jare.2015.0270 |
| 中文关键词: 土地生态安全 PSR TOPSIS 山东省 |
| 英文关键词: land ecological security PSR TOPSIS Shandong Province |
| 基金项目:国土资源部公益性行业科研专项经费（200911014） |
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| 中文摘要: |
| 为山东省土地生态安全保护工作的开展提供科学依据，论文基于PSR模型，从压力、状态、响应3个方面构建山东省土地生态安全评价指标体系；运用基于熵权改进的TOPSIS法对2013年山东省各地市间的土地生态安全状况进行空间差异性研究。结果表明：（1）山东省土地生态安全评价等级包括“较安全”、“临界安全”和“较不安全”，空间差异明显，呈现从东部沿海向西部内陆逐渐递减的规律；（2）影响山东省土地生态安全空间差异的主要因素为人均耕地面积、人均水资源量、土地产出率、单位播种面积粮食产量、经济密度、环保投资占GDP比重、农业机械化水平等，是今后工作的重点。 |
| 英文摘要: |
| To research the evaluation of land ecological security in Shandong Province, and provide reference for the protection of land ecological security in Shandong, this paper, based on the PSR model, built a land ecological security assessment index system of Shandong Province from three aspects:pressure, state and response. The entropy weight method and improved TOPSIS were employed in the study on the spatial difference of land ecological security among cities in Shandong in 2013. The results showed that:(1)The grade of the land ecological security evaluation in Shandong Province included "relatively safety", "critical safety" and "less safety". The spatial differences were obviously, with the grade gradually decreased from the east coast to the west inland;(2)The main factors influencing the spatial difference of land ecological security in Shandong were the per capita cultivated land, per capita water resources, land output rate, grain yield per unit area, economic density, environmental investment accounted for GDP, agricultural mechanization level. These were the focus of land ecological security regulation in the future. The evaluation index system based on PSR model can reflect the relationship among the factors of land ecological system, and the TOPSIS can reveal the gap between the land ecological security and it's ideal state. So, the results reflect the land ecological security situation of the study area comparatively accurate. |
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