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科技导报
|专题:能源-水-环境系统可持续发展
2020
, 38
(11) :
78
-88
农业用地优化决策的食品-能源-水关联评价方法
全屏
聂亚玲1 , 肖炘1 , 曾玉娇1 , 朱闽1 , 陆冬云1 , 李杰2
作者信息
1. 中国科学院过程工程研究所, 北京 100190;
2. 英国曼彻斯特大学化工与分析科学系过程集成中心, 曼彻斯特, 英国M13 9PL
通讯作者:
肖炘(通信作者),研究员,研究方向为化工过程全局优化,电子信箱:xxiao@ipe.ac.cn
作者简介:
聂亚玲,助理研究员,研究方向为过程建模与优化,电子信箱:ylnie@ipe.ac.cn
Towards a food-energy-water nexus metric for agricultural land use optimization and decision
NIE Yaling1 , XIAO Xin1 , ZENG Yujiao1 , ZHU Min1 , LU Dongyun1 , LI Jie2
Affiliations
1. Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China;
2. Centre for Process Integration, Department of Chemical Engineering and Analytical Science, The University of Manchester, Manchester, UK M13 9PL
出版时间: 2020-06-13
doi: 10.3981/j.issn.1000-7857.2020.11.009
文章导航
农业用地系统优化决策旨在通过统筹食品-能源-水(FEW)和用地资源、经济投入以及环境可持续发展问题,在满足生产需求的基础上,实现节能增效等多个优化目标。目前,以FEW全生产要素为主开展实际食品-能源-水关联(FEW-N)的农业用地系统研究,尚缺乏能够全面量化评估不同决策影响的系统性评估指标。针对此现状,从资源合理利用角度出发,在中国山东省选择相关区域为典型研究对象,开展农业用地系统多目标优化和评估研究,以实现资源利用效率最大化和投入产出比最高为系统目标,提出一套系统多目标优化方法和综合评估指标,以实现用地和FEW资源配置的系统折衷最优。研究结果显示,以双线性整合方式为基础构建的FEW-N综合度量指标不仅能够高效求解多目标优化问题,获得系统折衷最优的用地和资源配置方案,还可以通过可视化方式对不同方案进行量化评估,提供决策依据。
用地优化决策
/
食品-能源-水关联
/
多目标优化
/
综合度量指标
Food, energy and water (FEW) are the three essential pillars for human-being and society. Agricultural land is the largest ecosystem to provide food for human by consuming a large amount of energy and water. As population increases, there is an increasing pressure to address issues of the resource allocation and other conflicting objectives. Systematic thinking based on food-energy-water nexus (FEW-N) is necessary for the modeling and the optimization of the systems. However, challenges arise in making decisions among conflicting objectives, such as the profit, the food demand, the friendly environment, and the efficient use of water and energy. Despite the global studies of data, models and multi-objective optimization techniques, the holistic studies navigating the land use problems, exploring the trade-offs of land and the FEW resources are still few and far between, as well as the general and quantitative metrics for different solutions of the land use systems. Taking an experimental station in Shandong province as a FEW-N land use system, series of composite FEW-N metrics are developed to help solve the multiobjective optimization problem with systematic assessments. Computational results indicate that the trade-offs among diverse stakeholders can be achieved most effectively and consistently based on the composite FEW-N metrics. All objective-related solutions can be quantitatively evaluated by the proposed metrics, and the geometric metric GA can provide a visualization tool for comparisons of different solutions, to help the policy-makers to adjust policies across different stakeholders, production sectors, and technologies.
land use optimization and decision
/
food-energy-water nexus
/
multi-objective optimization
/
metric
聂亚玲, 肖炘, 曾玉娇, 朱闽, 陆冬云, 李杰.
农业用地优化决策的食品-能源-水关联评价方法.
科技导报,
2020
, 38
(11)
: 78
-88
.
DOI: 10.3981/j.issn.1000-7857.2020.11.009
NIE Yaling, XIAO Xin, ZENG Yujiao, ZHU Min, LU Dongyun, LI Jie.
Towards a food-energy-water nexus metric for agricultural land use optimization and decision[J].
Science & Technology Review ,
2020
, 38
(11)
: 78
-88
.
DOI: 10.3981/j.issn.1000-7857.2020.11.009
2020年第38卷第11期
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文章信息
doi: 10.3981/j.issn.1000-7857.2020.11.009
接收时间:2019-11-30
首发时间:2020-06-30
出版时间:2020-06-13
收稿日期:2019-11-30
修回日期:2020-03-28
通讯作者:
肖炘(通信作者),研究员,研究方向为化工过程全局优化,电子信箱:xxiao@ipe.ac.cn
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2020.11.009
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2种不同金属材料的力学参数
科 Family 属数 Number of genus 种数 Number of species 占总种数比例 Percentage of total species (%) 属 Genus 种数 Number of species 占总种数比例 Percentage of total species (%) 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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