Abstract
To address some of the key challenges arising due to the uncertain climate change, paper proposes
suits of novel stochastic modelling techniques, capable of integrating probabilistic climate information
within the synthetic streamflow series generation procedure. To achieve this, a thorough statistical analysis of
the climate information, available from the UK daily rainfall data, part of the Met Office Integrated Data Archive
System (MIDAS), the UK Climate Projections (UKCP09) and the daily streamflow time series of the
case study river (the Dee, of the UK) has been conducted. The model is first calibrated, using the historic flow
and climate timeseries, and then simulated with the probabilistic climate projections available from UKCP09.
Stochastic modeling techniques used are mainly the Hidden Markov Models (HMM) combined with the Generalised
Pareto (GP) distribution and Probability Distribution models. Potential impacts of the climate change
on the statistical characteristics of the river flow data has been explored.
suits of novel stochastic modelling techniques, capable of integrating probabilistic climate information
within the synthetic streamflow series generation procedure. To achieve this, a thorough statistical analysis of
the climate information, available from the UK daily rainfall data, part of the Met Office Integrated Data Archive
System (MIDAS), the UK Climate Projections (UKCP09) and the daily streamflow time series of the
case study river (the Dee, of the UK) has been conducted. The model is first calibrated, using the historic flow
and climate timeseries, and then simulated with the probabilistic climate projections available from UKCP09.
Stochastic modeling techniques used are mainly the Hidden Markov Models (HMM) combined with the Generalised
Pareto (GP) distribution and Probability Distribution models. Potential impacts of the climate change
on the statistical characteristics of the river flow data has been explored.
| Original language | English |
|---|---|
| Title of host publication | River Flow 2016 |
| Editors | George Constantinescu, Marcelo Garcia, Dan Hanes |
| Publisher | CRC Press |
| Pages | 1904-1909 |
| ISBN (Electronic) | 978-1-138-02913-2 |
| Publication status | Published - Jun 2016 |
| Event | River Flow 2016: Eighth International Conference on Fluvial Hydraulics - St. Louis, Mo., United States Duration: 12 Jul 2016 → 15 Jul 2016 |
Conference
| Conference | River Flow 2016 |
|---|---|
| Abbreviated title | RIVER FLOW 2016 |
| Country/Territory | United States |
| City | St. Louis, Mo. |
| Period | 12/07/16 → 15/07/16 |
