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

doi:10.1016/j.jclepro.2020.120213

	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, Benyamin 2; Rafiee, Shahin 3; Pan, Junting 2; Zhang, Yitao 1; Liu, Hongbin 2
刊名	JOURNAL OF CLEANER PRODUCTION
	2020-05-20
卷号	256 页码:22
关键词	Nitrogen fertilizer Optimization Decision support system Evolutionary algorithm
ISSN号	0959-6526
DOI	10.1016/j.jclepro.2020.120213
通讯作者	Rafiee, Shahin(Shahinrafiee@ut.ac.ir) ; Liu, Hongbin(liuhongbin@caas.cn)
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.
资助项目	International Postdoctoral Exchange Fellowship of China ; National Natural Science Foundation of China[31701995]
WOS关键词	GREENHOUSE-GAS EMISSIONS ; FERTILIZER RECOMMENDATION ; MANAGEMENT-PRACTICES ; AMMONIA EMISSIONS ; USE EFFICIENCY ; CERES-MAIZE ; YIELD ; WHEAT ; SOIL ; IMPACT
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
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/133664]
专题	中国科学院地理科学与资源研究所
通讯作者	Rafiee, Shahin; Liu, Hongbin
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.Chinese Acad Agr Sci, Key Lab Nonpoint Source Pollut Control, Minist Agr, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China 3.Univ Tehran, Fac Agr Engn & Technol, Dept Agr Machinery Engn, Karaj, Iran
推荐引用方式 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.