DOI: 10.1016/j.watres.2018.01.057
Scopus记录号: 2-s2.0-85041411282
论文题名: Quantitative design of emergency monitoring network for river chemical spills based on discrete entropy theory
作者: Shi B. ; Jiang J. ; Sivakumar B. ; Zheng Y. ; Wang P.
刊名: Water Research
ISSN: 431354
出版年: 2018
卷: 134 起始页码: 140
结束页码: 152
语种: 英语
英文关键词: Chemical spills
; Contaminant transport model
; Discrete entropy theory
; Emergency monitoring network
; Fourier approximation
; Information transfer index
Scopus关键词: Disaster prevention
; Entropy
; Environmental management
; Monitoring
; Oil spills
; Pollution detection
; Risk assessment
; Risk perception
; Spectrum analysis
; Uncertainty analysis
; Water quality
; Chemical spill
; Contaminant transport modeling
; Discrete entropy
; Emergency monitoring
; Fourier approximations
; Information transfer index
; River pollution
; nitrobenzene
; water
; design
; disaster management
; discrete element method
; environmental assessment
; environmental management
; experimental study
; Fourier transform
; network design
; oil spill
; pollutant transport
; quantitative analysis
; river water
; spatiotemporal analysis
; Article
; controlled study
; entropy
; environmental monitoring
; priority journal
; river
; spectroscopy
; spillage
; water quality
; chemical accident
; disaster
; entropy
; environmental monitoring
; procedures
; river
; uncertainty
; Chemical Hazard Release
; Disasters
; Entropy
; Environmental Monitoring
; Rivers
; Uncertainty
; Water Quality
英文摘要: Field monitoring strategy is critical for disaster preparedness and watershed emergency environmental management. However, development of such is also highly challenging. Despite the efforts and progress thus far, no definitive guidelines or solutions are available worldwide for quantitatively designing a monitoring network in response to river chemical spill incidents, except general rules based on administrative divisions or arbitrary interpolation on routine monitoring sections. To address this gap, a novel framework for spatial-temporal network design was proposed in this study. The framework combines contaminant transport modelling with discrete entropy theory and spectral analysis. The water quality model was applied to forecast the spatio-temporal distribution of contaminant after spills and then corresponding information transfer indexes (ITIs) and Fourier approximation periodic functions were estimated as critical measures for setting sampling locations and times. The results indicate that the framework can produce scientific preparedness plans of emergency monitoring based on scenario analysis of spill risks as well as rapid design as soon as the incident happened but not prepared. The framework was applied to a hypothetical spill case based on tracer experiment and a real nitrobenzene spill incident case to demonstrate its suitability and effectiveness. The newly-designed temporal-spatial monitoring network captured major pollution information at relatively low costs. It showed obvious benefits for follow-up early-warning and treatment as well as for aftermath recovery and assessment. The underlying drivers of ITIs as well as the limitations and uncertainty of the approach were analyzed based on the case studies. Comparison with existing monitoring network design approaches, management implications, and generalized applicability were also discussed. © 2018 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/112919
Appears in Collections: 气候减缓与适应
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作者单位: School of Environment, Harbin Institute of Technology, Harbin, 150090, China; School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China; School of Civil and Environmental Engineering, The University of New South Wales, Sydney, NSW 2052, Australia; Department of Land, Air and Water Resources, University of California, Davis, CA 95616, United States; Department of Civil Engineering, Indian Institute of Technology Bombay, Powai, 400076, India; State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, 150090, China
Recommended Citation:
Shi B.,Jiang J.,Sivakumar B.,et al. Quantitative design of emergency monitoring network for river chemical spills based on discrete entropy theory[J]. Water Research,2018-01-01,134