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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
Khoshnevisan, Benyamin1; Rafiee, Shahin2; Pan, Junting1; Zhang, Yitao3; Liu, Hongbin1
2020-05-20
Source PublicationJOURNAL OF CLEANER PRODUCTION
ISSN0959-6526
Volume256Pages:22
Corresponding AuthorRafiee, Shahin(Shahinrafiee@ut.ac.ir) ; Liu, Hongbin(liuhongbin@caas.cn)
AbstractNitrogen 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.
KeywordNitrogen fertilizer Optimization Decision support system Evolutionary algorithm
DOI10.1016/j.jclepro.2020.120213
WOS KeywordGREENHOUSE-GAS EMISSIONS ; FERTILIZER RECOMMENDATION ; MANAGEMENT-PRACTICES ; AMMONIA EMISSIONS ; USE EFFICIENCY ; CERES-MAIZE ; YIELD ; WHEAT ; SOIL ; IMPACT
Indexed BySCI
Language英语
Funding ProjectInternational Postdoctoral Exchange Fellowship of China ; National Natural Science Foundation of China[31701995]
Funding OrganizationInternational Postdoctoral Exchange Fellowship of China ; National Natural Science Foundation of China
WOS Research AreaScience & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
WOS SubjectGreen & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences
WOS IDWOS:000524981300009
PublisherELSEVIER SCI LTD
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/133665
Collection中国科学院地理科学与资源研究所
Corresponding AuthorRafiee, Shahin; Liu, Hongbin
Affiliation1.Chinese Acad Agr Sci, Key Lab Nonpoint Source Pollut Control, Minist Agr, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China
2.Univ Tehran, Fac Agr Engn & Technol, Dept Agr Machinery Engn, Karaj, Iran
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
Recommended Citation
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.
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