IGSNRR OpenIR
An inexact log-normal distribution-based stochastic chance-constrained model for agricultural water quality management
Wang, Yu1,2; Fan, Jie1; Xu, Ye3; Sun, Wei1; Chen, Dong1
2018
Source PublicationENGINEERING OPTIMIZATION
ISSN0305-215X
Volume50Issue:5Pages:840-855
Corresponding AuthorXu, Ye(xuye0401@gmail.com)
AbstractIn this study, an inexact log-normal-based stochastic chance-constrained programming model was developed for solving the non-point source pollution issues caused by agricultural activities. Compared to the general stochastic chance-constrained programming model, the main advantage of the proposed model is that it allows random variables to be expressed as a log-normal distribution, rather than a general normal distribution. Possible deviations in solutions caused by irrational parameter assumptions were avoided. The agricultural system management in the Erhai Lake watershed was used as a case study, where critical system factors, including rainfall and runoff amounts, show characteristics of a log-normal distribution. Several interval solutions were obtained under different constraint-satisfaction levels, which were useful in evaluating the trade-off between system economy and reliability. The applied results show that the proposed model could help decision makers to design optimal production patterns under complex uncertainties. The successful application of this model is expected to provide a good example for agricultural management in many other watersheds.
KeywordStochastic chance-constrained programming log-normal distribution agriculture Erhai Lake uncertainty
DOI10.1080/0305215X.2017.1357715
WOS KeywordLINEAR-PROGRAMMING APPROACH ; ACID-RAIN ABATEMENT ; OPTIMIZATION MODEL ; IRRIGATION WATER ; UNCERTAINTY ; SYSTEMS ; COLINEARITY ; ALLOCATION ; BASIN ; RISK
Indexed BySCI
Language英语
WOS Research AreaEngineering ; Operations Research & Management Science
WOS SubjectEngineering, Multidisciplinary ; Operations Research & Management Science
WOS IDWOS:000426912800007
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/57223
Collection中国科学院地理科学与资源研究所
Corresponding AuthorXu, Ye
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing, Peoples R China
2.Northeast Normal Univ, Sch Geog Sci, Changchun, Jilin, Peoples R China
3.North China Elect Power Univ, Coll Environm Sci & Engn, MOE Key Lab Reg Energy & Environm Syst Optimizat, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Wang, Yu,Fan, Jie,Xu, Ye,et al. An inexact log-normal distribution-based stochastic chance-constrained model for agricultural water quality management[J]. ENGINEERING OPTIMIZATION,2018,50(5):840-855.
APA Wang, Yu,Fan, Jie,Xu, Ye,Sun, Wei,&Chen, Dong.(2018).An inexact log-normal distribution-based stochastic chance-constrained model for agricultural water quality management.ENGINEERING OPTIMIZATION,50(5),840-855.
MLA Wang, Yu,et al."An inexact log-normal distribution-based stochastic chance-constrained model for agricultural water quality management".ENGINEERING OPTIMIZATION 50.5(2018):840-855.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang, Yu]'s Articles
[Fan, Jie]'s Articles
[Xu, Ye]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang, Yu]'s Articles
[Fan, Jie]'s Articles
[Xu, Ye]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang, Yu]'s Articles
[Fan, Jie]'s Articles
[Xu, Ye]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.