Stochastic grey water footprint model based on uncertainty analysis theory

Stochastic grey water footprint model based on uncertainty analysis theory

The conventional grey water footprint (GWF) cannot deal with the uncertainties induced by the background information. To solve this problem, this study develops a stochastic GWF model based on probability theory and the maximum entropy principle. The stochastic GWF model further introduces the expec...

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Bibliographic Details
Main Authors: Dong, Z. (Author), Luo, Y. (Author), Tan, Y. (Author), Wang, W. (Author), Wang, X. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
Background information
Background value
chemical oxygen demand
Chemical oxygen demand
climate change
Climate change
COD
environmental risk
Environmental risks
Grey water footprint
identification key
identification method
Mathematical expectation
Maximum entropy principle
Model-based OPC
Ningxia Huizu
Ningxia province
optimization
parameterization
Probability theory
risk assessment
Risk assessment
Stochastic models
Stochastic systems
stochasticity
uncertainty analysis
Uncertainty analysis
water footprint
Water pollution
Water shortage risks
water stress
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