中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A multi-criteria evolutionary-based algorithm as a regional scale decision support system to optimize nitrogen consumption rate; A case study in North China plain

文献类型:期刊论文

作者Khoshnevisan, Benyamin2; Rafiee, Shahin1; Pan, Junting2; Zhang, Yitao3; Liu, Hongbin2
刊名JOURNAL OF CLEANER PRODUCTION
出版日期2020-05-20
卷号256页码:22
ISSN号0959-6526
关键词Nitrogen fertilizer Optimization Decision support system Evolutionary algorithm
DOI10.1016/j.jclepro.2020.120213
英文摘要Nitrogen mismanagement is a serious concern worldwide since farmers usually overuse chemical fertilizers to increase yield, and consequently their income. The oversupply of chemical fertilizers, particularly nitrogen-based fertilizers, has brought about serious environmental problems, among others, deterioration of water quality, global warming impacts, soil acidification, and water eutrophication. In the present study, a decision support system coupled with an evolutionary algorithm was developed to optimize nitrogen consumption rate in a Wheat-Maize rotation system in the North China Plain. The developed model integrated eight indicators, i.e., yield, nitrogen uptake by grain and whole plant, economic, enviro-economic, nitrogen use efficiency, nitrogen balance, and single score (i.e., an aggregated and normalized environmental indicator), to propose the optimal consumption rates. The indicators, used in this model, were measured and/or calculated from a three-year field experiment conducted in six different monitoring sites in four Provinces. Such approach helped introduce the spatially explicit optimal nitrogen application rates for different regions. Having integrated enviro-economic indices, the decision support system returned regional optimum consumption rates which would maximize profit and minimize environmental pollution. Moreover, the decision support system was also supplemented with two sensitivity analysis models, from one hand, to investigate the consequences of changes in decision criteria, and from the other hand, return a range of optimal consumption rate for each specific region. The results achieved showed that the proposed approach succeeded in finding the best nitrogen practices for each specific region and also returning a safe range for nitrogen application in order to guarantee a high-profit and an environmental friendly agricultural production. (C) 2020 Elsevier Ltd. All rights reserved.
WOS关键词GREENHOUSE-GAS EMISSIONS ; FERTILIZER RECOMMENDATION ; MANAGEMENT-PRACTICES ; AMMONIA EMISSIONS ; USE EFFICIENCY ; CERES-MAIZE ; YIELD ; WHEAT ; SOIL ; IMPACT
资助项目International Postdoctoral Exchange Fellowship of China ; National Natural Science Foundation of China[31701995]
WOS研究方向Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
语种英语
出版者ELSEVIER SCI LTD
WOS记录号WOS:000524981300009
资助机构International Postdoctoral Exchange Fellowship of China ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/133664]  
专题陆地表层格局与模拟院重点实验室_外文论文
作者单位1.Univ Tehran, Fac Agr Engn & Technol, Dept Agr Machinery Engn, Karaj, Iran
2.Chinese Acad Agr Sci, Key Lab Nonpoint Source Pollut Control, Minist Agr, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
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GB/T 7714
Khoshnevisan, Benyamin,Rafiee, Shahin,Pan, Junting,et al. A multi-criteria evolutionary-based algorithm as a regional scale decision support system to optimize nitrogen consumption rate; A case study in North China plain[J]. JOURNAL OF CLEANER PRODUCTION,2020,256:22.
APA Khoshnevisan, Benyamin,Rafiee, Shahin,Pan, Junting,Zhang, Yitao,&Liu, Hongbin.(2020).A multi-criteria evolutionary-based algorithm as a regional scale decision support system to optimize nitrogen consumption rate; A case study in North China plain.JOURNAL OF CLEANER PRODUCTION,256,22.
MLA Khoshnevisan, Benyamin,et al."A multi-criteria evolutionary-based algorithm as a regional scale decision support system to optimize nitrogen consumption rate; A case study in North China plain".JOURNAL OF CLEANER PRODUCTION 256(2020):22.

入库方式: OAI收割

来源:地理科学与资源研究所

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