区域水—能源—粮食关联系统协同发展模型

任绪燕; 任永泰; 武方宸; 司通达; 王紫阳

doi:10.13961/j.cnki.stbctb.2021.05.029

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区域水—能源—粮食关联系统协同发展模型

试验研究

- 区域水—能源—粮食关联系统协同发展模型
- Collaborative Development Model of Regional Water-Energy-Food Nexus
- 水土保持通报 2021年41卷第5期页码：218-225
- 作者机构：
  
  1. 东北农业大学工程学院,黑龙江,哈尔滨,150030
  2. 东北农业大学文理学院,黑龙江,哈尔滨,150030
- 作者简介：
- 基金信息：
  
  黑龙江省哲学社会科学研究规划项目“黑龙江省农业经济发展方式转变研究”（18TJB098）
- DOI：10.13961/j.cnki.stbctb.2021.05.029
  中图分类号： X24;F326.4;TV213.4
- 纸质出版：2021
- 稿件说明：
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任绪燕, 任永泰, 武方宸, 等. 区域水—能源—粮食关联系统协同发展模型[J]. 水土保持通报, 2021,41(5):218-225.

Ren Xuyan, Ren Yongtai, Wu Fangchen, et al. Collaborative Development Model of Regional Water-Energy-Food Nexus[J]. Bulletin of Soiland Water Conservation, 2021, 41(5): 218-225.
任绪燕, 任永泰, 武方宸, 等. 区域水—能源—粮食关联系统协同发展模型[J]. 水土保持通报, 2021,41(5):218-225. DOI： 10.13961/j.cnki.stbctb.2021.05.029.

Ren Xuyan, Ren Yongtai, Wu Fangchen, et al. Collaborative Development Model of Regional Water-Energy-Food Nexus[J]. Bulletin of Soiland Water Conservation, 2021, 41(5): 218-225. DOI： 10.13961/j.cnki.stbctb.2021.05.029.

摘要

[目的] 研究区域水—能源—粮食关联系统（WEFN）的协同发展状况，促进区域水、能源、粮食的可持续利用。[方法] 基于复杂适应系统理论，从水、能源、粮食3方面构建区域WEFN协同发展评价指标体系，以协同进化算法、灰色关联等为基础提出一种基于各要素条件和相互作用机理的综合协同发展模型，并以黑龙江省为例测算2009—2018年WEFN的协同发展度及子系统的发展度、协同度，评价其协同发展状况。[结果] ①各子系统发展程度中等，差距较小，协同度差距较大但均呈波动上升趋势，其中水资源对能源和粮食、能源对粮食的协同作用明显。②WEFN协调发展状况中等，与各子系统协同发展趋势一致，波动上升后保持稳定，粮食子系统协同发展程度最高。③子系统间协同作用差是造成WEFN协同发展状况不高的原因，应以水、能源在农业生产中的高效应用为突破口，促进子系统间的协同发展。[结论] 综合协同发展模型能够有效评价区域WEFN的协同发展状况，有助于区域可持续发展决策。

Abstract

[Objective] The synergistic development of the regional water-energy-food nexus (WEFN) system was studied in order to promote the sustainable utilization of regional water

energy

and food.[Methods] Based on the theory of complex adaptive systems

an evaluation index system of regional WEFN collaborative development was constructed from three aspects of water

energy

and food. A comprehensive collaborative development model was proposed based on the conditions of various elements and the interaction mechanism based on a co-evolution algorithm and gray correlation. Taking Heilongjiang Province as an example

the collaborative development degree of WEFN and the development degree and collaborative degree of its subsystems from 2009 to 2018 were calculated to evaluate the collaborative development status.[Results] ① The development degree of each subsystem was medium

and the gap was small. The collaborative degrees had a large gap

but all showed a fluctuating upward trend. Among them

the collaborative effect of water resources on energy and food

and energy on food was obvious. ② The collaborative development of WEFN was moderate

consistent with the trend of various subsystems

and remained stable after rising fluctuations. The collaborative development of the food subsystem was the highest. ③ Poor collaboration between subsystems was the reason for the low level of WEFN coordinated development. The efficient application of water and energy in agricultural production should be used as a breakthrough to promote the coordinated development of subsystems.[Conclusion] The comprehensive collaborative development model can be effectively used to evaluate the collaborative development status of regional WEFN

and is helpful for regional sustainable development decision-making.

关键词

Keywords

references

Hoff H. Understanding the nexus[C]//The Water Energy Security Nexus, The Bonn 2011 Nexus Conference, 2011.

Wiegleb V, Bruns A. What is driving the water-energy-food nexus? discourses, knowledge, and politics of an emerging resource governance concept[J]. Frontiers in Environmental Science, 2018, 70(1):1-14.

Bazilian M, Rogner H, Howells M, et al. Considering the energy, water and food nexus:Towards an integrated modelling approach[J]. Energy Policy, 2011, 39(12):7896-7906.

Sanders K T, Masri S F. The energy-water agriculture nexus:The past, present and future of holistic resource management via remote sensing technologies[J]. Journal of Cleaner Production, 2016, 117:73-88.

李良, 毕军, 周元春, 等.基于粮食-能源-水关联关系的风险管控研究进展[J].中国人口·资源与环境, 2018, 28(7):85-92.

Zhang Tianming, Xu Yejun. Evaluation on the efficiency of water-energy-food nexus based on date envelopment analysis (DEA) and malmquist in different regions of China[J]. International Journal of Computational Intelligence Systems, 2019, 12(2):1649-1659.

彭少明, 郑小康, 王煜, 等.黄河流域水资源-能源-粮食的协同优化[J].水科学进展, 2017, 28(5):681-690.

李桂君, 李玉龙, 贾晓菁, 等.北京市水-能源-粮食可持续发展系统动力学模型构建与仿真[J].管理评论, 2016, 28(10):11-26.

Cheng Kun, Yao Jiping, Ren Yongtai. Evaluation of the coordinated development of regional water resource systems based on a dynamic coupling coordination model[J]. Water Supply, 2019, 19(2):565-573.

谭跃进, 邓宏钟.复杂适应系统理论及其应用研究[J].系统工程, 2001, 19(5):1-6.

廖重斌.环境与经济协调发展的定量评判及其分类体系:以珠江三角洲城市群为例[J].热带地理, 1999, 16(2):171-177.

穆东, 杜志平.系统协同发展程度的DEA评价研究[J].数学的实践与认识, 2005, 35(4):56-64.

穆东, 杜志平.资源型区域协同发展评价研究[J].中国软科学, 2005(5):106-113.

李成宇, 张士强.中国省际水-能源-粮食耦合协调度及影响因素研究[J].中国人口·资源与环境, 2020, 30(1):120-128.

王雨, 王会肖, 杨雅雪, 等.黑龙江省水-能源-粮食系统动力学模拟[J].水利水电科技进展, 2020(4):8-15.

赵良仕, 刘思佳, 孙才志.黄河流域水-能源-粮食安全系统的耦合协调发展研究[J].水资源保护, 2021, 37(1):69-78.

支彦玲, 陈军飞, 王慧敏, 等.共生视角下中国区域"水-能源-粮食"复合系统适配性评估[J].中国人口·资源与环境, 2020, 30(1):129-139.

邓鹏, 陈菁, 陈丹, 等.区域水-能源-粮食耦合协调演化特征研究:以江苏省为例[J].水资源与水工程学报, 2017, 28(6):232-238.

窦如婷, 申敏, 汪天凯.动态视角下国际投资的宏观环境综合评价:基于改进的CRITIC赋权和TOPSIS法[J].工业技术经济, 2018, 37(8):132-138.

张立军, 张潇.基于改进CRITIC法的加权聚类方法[J].统计与决策, 2015(22):65-68.

贾品荣.区域低碳协同发展评价:京津冀、长三角和珠三角城市群的比较分析[J].经济数学, 2017, 34(4):1-6.

Yao Jiping, Ren Yongtai, Wei Shuai, et al. Assessing the complex adaptability of regional water security systems based on a unified co-evolutionary model[J]. Journal of Hydroinformatics, 2018, 20(1):34-48.

Hillis W D. Co-evolving parasites improve simulated evolution as an optimization procedure[J]. Physica D:Nonlinear Phenomena, 1990, 42(1/2/3):228-234.

李碧.协同进化算法的研究及其应用[D].广东广州:华南理工大学, 2010.

刘思峰, 郭天榜, 党耀国.灰色系统理论及其应用[M].2版.北京:科学出版社, 1999:51-64.

文淑惠, 黄丽芳.基于灰色关联度的云南省产业结构趋同性研究[J].昆明理工大学学报(社会科学版), 2012, 12(6):51-56.

李佳俐, 程涛.基于区间灰色关联度的食品产业集群发展评价方法[J].统计与决策, 2016(4):84-87.

刘怡, 周凌云, 耿纯.京津冀产业协同发展评估:基于区位熵灰色关联度的分析[J].中央财经大学学报, 2017(12):119-129.

孟萍莉, 董相町.生产性服务业FDI, OFDI对制造业结构升级的影响:基于灰色关联理论的实证分析[J].经济与管理, 2017, 31(3):74-79.

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