Uncertainty quantification in reconstruction of sparse water quality time series: Implications for watershed health and risk-based TMDL assessment.
Ganeshchandra MallyaAbhinav GuptaMohamed M. HantushRao S. GovindarajuPublished in: Environ. Model. Softw. (2020)
Keyphrases
- water quality
- compressed sensing
- risk assessment
- quality management
- risk measures
- compressive sensing
- risk averse
- image reconstruction
- signal reconstruction
- early warning
- suzhou river
- expected utility
- water treatment
- measured data
- non stationary
- three dimensional
- grey relational analysis
- multiscale
- water level
- image segmentation
- dynamic time warping
- water resources
- risk management
- high dimensional
- binary matrices
- discrete tomography
- decision theory
- decision making
- sparse representation
- health care
- extreme events
- high resolution
- stock market
- sparsity constraints
- quality assessment
- segmentation algorithm
- random projections
- region growing
- chronic disease
- utility function
- real time
- segmentation method
- multivariate time series
- dissolved oxygen
- risk factors
- expert systems