DOI: 10.1016/j.marpolbul.2017.12.004
Scopus记录号: 2-s2.0-85037330722
论文题名: Modeling marine oily wastewater treatment by a probabilistic agent-based approach
作者: Jing L. ; Chen B. ; Zhang B. ; Ye X.
刊名: Marine Pollution Bulletin
ISSN: 0025-326X
EISSN: 1879-3363
出版年: 2018
卷: 127 起始页码: 217
结束页码: 224
语种: 英语
英文关键词: Agent-based modeling
; Marine oily wastewater treatment
; Probability-based simulation
; Reaction competition
Scopus关键词: Autonomous agents
; Calibration
; Computational methods
; Genetic algorithms
; Irradiation
; Mean square error
; Naphthalene
; Optimization
; Probability
; Probability distributions
; Reclamation
; Sensitivity analysis
; Wastewater treatment
; Agent simulation model
; Agent-based model
; Agent-based simulation models
; Calibration and validations
; Global sensitivity analysis
; Oily wastewater treatment
; Reaction probability
; Root mean square errors
; Software agents
; naphthalene
; marine pollution
; naphthalene
; oil spill response
; pollutant removal
; probability
; ultraviolet radiation
; wastewater treatment
; Article
; calibration
; case study
; genetic algorithm
; process optimization
; reaction analysis
; sensitivity analysis
; simulation
; ultraviolet irradiation
; validation study
; waste component removal
; waste water management
Scopus学科分类: Agricultural and Biological Sciences: Aquatic Science
; Earth and Planetary Sciences: Oceanography
; Environmental Science: Pollution
英文摘要: This study developed a novel probabilistic agent-based approach for modeling of marine oily wastewater treatment processes. It begins first by constructing a probability-based agent simulation model, followed by a global sensitivity analysis and a genetic algorithm-based calibration. The proposed modeling approach was tested through a case study of the removal of naphthalene from marine oily wastewater using UV irradiation. The removal of naphthalene was described by an agent-based simulation model using 8 types of agents and 11 reactions. Each reaction was governed by a probability parameter to determine its occurrence. The modeling results showed that the root mean square errors between modeled and observed removal rates were 8.73 and 11.03% for calibration and validation runs, respectively. Reaction competition was analyzed by comparing agent-based reaction probabilities, while agents’ heterogeneity was visualized by plotting their real-time spatial distribution, showing a strong potential for reactor design and process optimization. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/88491
Appears in Collections: 过去全球变化的重建 全球变化的国际研究计划
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作者单位: Northern Region Persistent Organic Pollution Control (NRPOP) Laboratory, Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John's, NL, Canada; College of Environmental Science and Engineering, Peking University, Beijing, China
Recommended Citation:
Jing L.,Chen B.,Zhang B.,et al. Modeling marine oily wastewater treatment by a probabilistic agent-based approach[J]. Marine Pollution Bulletin,2018-01-01,127