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Streamflow forecasts are dynamically updated in real-time, thus facilitating a process of forecast uncertainty evolution. Forecast uncertaintygenerally decreases over time and as more hydrologic...
Direct current meter measurements are rarely available for extreme flash floods. Corresponding discharges are generally estimated using so-called “indirect” techniques such as the slope – area method....
In this study, Triangular Fuzzy-number of the Fuzzy Set Theory was introduced to reform parameters of those previous health risk assessment (HRA) models, Monte Carlo simulation parameter was applied t...
In the process of calibrating distributed hydrological models, accounting for inputuncertainty is important, yet challenging. In this study, we develop a Bayesian model toestimate parameters associate...
This work is a study of multivariate simulations of pollutants to assess the sampling uncertainty for the risk analysis of a contaminated site. The study started from data collected for a remediation ...
Various hydrological forecast products have been applied to real-time reservoir operation, includingdeterministic streamflow forecast (DSF), DSF-based probabilistic streamflow forecast (ps...
Quantification of spatial and temporal patterns of rainfall is an important step toward developing regional water sewage models, the intensity and spatial distribution of rainfall can affect the magni...

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