[1]李政,何伟,潘洪义,等.基于熵权TOPSIS法与ARIMA模型的四川省耕地生态安全动态预测预警[J].水土保持研究,2018,25(03):217-223.
　LI Zheng,HE Wei,PAN Hongyi,et al.Dynamic Prediction and Early Warning of Cultivated Land Ecological Security in Sichuan Province Based on Improved TOPSIS Method and ARIMA Model[J].Research of Soil and Water Conservation,2018,25(03):217-223.
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基于熵权TOPSIS法与ARIMA模型的四川省耕地生态安全动态预测预警

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 25 期数: 2018年03期 页码: 217-223 栏目: 出版日期: 2018-04-10
Title:
Dynamic Prediction and Early Warning of Cultivated Land Ecological Security in Sichuan Province Based on Improved TOPSIS Method and ARIMA Model
作者:
李政1,2, 何伟1,2, 潘洪义1,2, 陈林1,2
1. 四川师范大学 西南土地资源评价与监测教育部重点实验室, 成都 610068;
2. 四川师范大学 地理与资源科学学院, 成都 610068
Author(s):
LI Zheng1,2, HE Wei1,2, PAN Hongyi1,2, CHEN Lin1,2
1. Key Laboratory of Southwest Land Resources Evaluation and Monitoring of Ministry of Education, Sichuan Normal University, Chengdu, Sichuan 610068, China;
2. College of Geography and Resources Science, Sichuan Normal University, Chengdu, Sichuan 610068, China
关键词:
耕地生态安全; 预警; 改进的TOPSIS; ARIMA; 四川省
Keywords:
ecological safety of cultivated land; early warning; improved TOPSIS; ARIMA; Sichuan Province
分类号:
F323.22
摘要:
耕地生态安全预警研究能够有效引导耕地资源可持续利用。以四川省21个地市州为研究对象，构建了基于DPSIR模型的耕地生态安全预警评价指标体系，采用改进的熵权TOPSIS法进行警情分析，并运用ARIMA模型模拟未来5年警情变化趋势。结果表明：（1） ARIMA模型拟合度高，能够较好地拟合2015-2019年四川省耕地生态安全发展趋势；（2） 总体而言，2005-2019年四川省耕地生态安全警情由"重警"变为"中警"，预警指数由0.397（2005年）上升至0.501（2019年），最高值为0.524（2014年），总体呈波动上升的态势，表明出现严重生态安全问题的可能性小。（3） 就各子系统而言，2005-2019年耕地生态安全压力系统是影响警情的变化的主要系统，该系统中预警值呈波动下降趋势，警度将升至"巨警"状态；驱动力、状态、影响与响应系统，预警值则逐年增大，警度等级逐年降低。（4） 未来5年，四川省各地市州耕地生态安全压力区域差异明显，不同的区域应对措施不同，一二级区域将是以后调控的重点区。
Abstract:
Study on the early warning of cultivated land ecological security can guide the sustainable utilization of cultivated land resources. Based on the DPSIR model, the evaluation index system of cultivated land ecological security was constructed based on 21 cities in Sichuan Province. The improved entropy TOPSIS method was used to analyze the police situation, and the ARIMA model was used to simulate the trend of police intelligence changes in the next five years. The results show that:(1) ARIMA model has high fitting ability, which can fit the development trend of cultivated land ecological security in Sichuan Province during 2015-2020; (2) in general, from 2005 to 2019, the ecological security of cultivated land in Sichuan Province from the ‘heavy police’ to ‘the police’, the early warning index rose from 0.397 in 2005 to 0.501 in 2019, the highest value of 0.524 was found in 2014, the overall trend presented the rising volatility, indicating that the possibility of serious ecological security problems became small; (3) in terms of subsystems, during the period from 2005 to 2019, the ecological security system of cultivated land was the main system that affected the change of police intelligence, in this system, the warning value fluctuated and the warning rose to state, driving force, state, impact and response system, early warning value was increasing year by year, the alarm level decreased year by year; (4) in the next five years, there will be obvious differences in the regional pressure of cultivated land in Sichuan Province, and different regional response measures will be different. The fist and secondary areas will be the key areas for future regulation.

参考文献/References:

[1] 赵宏波,马延吉.东北粮食主产区耕地生态安全的时空格局及障碍因子:以吉林省为例[J].应用生态学报,2014,25(2):515-524.
[2] 郑华伟,夏梦蕾,张锐,等.基于熵值法和灰色预测模型的耕地生态安全诊断[J].水土保持通报,2016,36(3):284-289.
[3] 徐美,朱翔,刘春腊.基于RBF的湖南省土地生态安全动态预警[J].地理学报,2012,67(10):1411-1422.
[4] 徐美.湖南省土地生态安全预警及调控研究[D].长沙:湖南师范大学,2013.
[5] Parr J F, Papendick R I, Meyer S B H R E. Soil quality:Attributes and relationship to alternative and sustainable agriculture[J]. American Journal of Alternative Agriculture, 1992,7(1):5-11.
[6] Herrick J E, Brown J R, Tugel A J, et al. Application of soil quality to monitoring and management:Paradigms from rangeland ecology[C]//Symposium on Soil Quality as An Indicator of Sustainable Land Management, 2002.
[7] 高奇.基于CPM-RBF模型的区域土地生态安全预警研究[D].北京:中国地质大学(北京),2015.
[8] 张秋霞,张合兵,刘文锴,等.新郑市耕地生态安全动态预警研究[J].水土保持研究,2017,24(1):256-264.
[9] 赵烨,袁顺全,郧文聚,等.农用地资源安全的监测-评价-预警系统[J].农业工程学报,2007,23(1):77-81.
[10] 刘宝涛,王冬艳,刘惠清.基于DPSIR模型与TOPSIS算法的吉林省土地利用系统健康诊断[J].吉林农业大学学报,2017,39(1):74-81.
[11] 徐美,朱翔,李静芝.基于DPSIR-TOPSIS模型的湖南省土地生态安全评价[J].冰川冻土,2012,34(5):1265-1272.
[12] 郑华伟,张锐,孟展,等.基于PSR模型与集对分析的耕地生态安全诊断[J].中国土地科学,2015(12):42-50.
[13] 范胜龙,杨玉珍,陈训争,等.基于PSR和无偏GM(1,1)模型的福建省耕地生态安全评价与预测[J].中国土地科学,2016,30(9):19-27.
[14] 杨俊,宋振江,李争.基于PSR模型的耕地生态安全评价:以长江中下游粮食主产区为例[J].水土保持研究,2017,24(3):301-307.
[15] 黄海,谭晶今,陈春,等.基于TOPSIS方法的山东省土地生态安全动态评价[J].水土保持研究,2016,23(3):220-224.
[16] 徐成龙,程钰,任建兰.黄河三角洲地区生态安全预警测度及时空格局[J].经济地理,2014,34(3):149-155.
[17] 陈英,孔喆,路正,等.基于RBF神经网络模型的土地生态安全预警:以甘肃省张掖市为例[J].干旱地区农业研究,2017,35(1):264-270.
[18] 张玉泽,任建兰,刘凯,等.山东省生态安全预警测度及时空格局[J].经济地理,2015,35(11):166-171.
[19] 王耕,王嘉丽,苏柏灵.基于ARIMA模型的辽河流域生态足迹动态模拟与预测[J].生态环境学报,2013(4):632-638.
[20] 董晓晓,李玉环,王静,等.基于ARIMA模型的生态足迹模拟与预测[J].水土保持通报,2015,35(1):143-152.
[21] 李希国,谭鼎山,邵金花,等.基于ARIMA的烟台地区降水量研究[J].山东水利,2006(2):39-41.

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　YANG jun,SONG Zhenjiang,LI Zheng.Assessment of Cultivated Land Ecological Safety Based on PSR Method —The Case Study of Main Grain Production Area of the Lower Yangtze Region[J].Research of Soil and Water Conservation,2017,24(03):301.
[9]陈美婷,匡耀求,黄宁生.基于RBF模型的广东省土地生态安全时空演变预警研究[J].水土保持研究,2015,22(03):217.
　CHEN Meiting,KUANG Yaoqiu,HUANG Ningsheng.Early-warning of Spatiotemporal Evolvement of Land Ecological Security in Guangdong Province Based on RBF[J].Research of Soil and Water Conservation,2015,22(03):217.
[10]宋伟,陈百明,张英.中国耕地资源安全预警系统探讨[J].水土保持研究,2013,20(06):192.
　SONG Wei,CHEN Bai-ming,ZHANG Ying.Discussion on Warning System of Cultivated Land Resources Security in China[J].Research of Soil and Water Conservation,2013,20(03):192.

备注/Memo

收稿日期:2017-07-30;改回日期:2017-08-21。
基金项目:四川省哲学社会科学规划项目”藏粮于地战略下的四川省耕地轮作休耕制度研究”（SC16B066）
作者简介:李政(1992-),男,四川苍溪人,四川师范大学硕士研究生,研究方向:土地利用管理与评价。E-mail:845774791@qq.com
通讯作者:何伟(1972-),男,甘肃民勤人,副教授,硕士生导师,研究方向:土地资源利用及评价。E-mail:cdwhe@163.com

更新日期/Last Update: 1900-01-01