Publication Details |
| Category | Text Publication |
| Reference Category | Conference papers |
| DOI | 10.5194/egusphere-egu21-5030 |
Licence  |
|
| Title (Primary) | Regionalization of Reservoir regulation parameters using physiographic and climatological predictors |
| Title (Secondary) | EGU General Assembly 2021, online, 19–30 April 2021 |
| Author | Shrestha, P.K.; Thober, S.; Samaniego, L.
|
| Source Titel | EGUsphere |
| Year | 2021 |
| Department | CHS |
| Page From | EGU21-5030 |
| Language | englisch |
| Topic | T5 Future Landscapes |
| Abstract | Present regional and global scale hydrology has to account for
man-made reservoirs that impart significant regulation signature into
the downstream streamflow regime. Optimization of domains with large
number of reservoirs would incur multitude of reservoir regulation
parameters. Such parameter-set-per-reservoir approach not only results
in excessive computational costs but also, by principle, lacks effective
constraining of the parameter space. We propose an approach to derive
single set of parameters for all the reservoirs and lakes in the
modelling domain. The hypothesis is that reservoir regulation parameters
can be regionalized using physiography and climatology at lakes and
their catchments. To test this hypothesis, we setup a modeling domain for the São Francisco basin of Northeast Brazil in the mesoscale hydrological model (mHM, www.ufz.de/mhm). The domain consists of climatology ranging from tropical (As) to semi-arid (BSh) and reservoirs with catchment area varying from less than 500 km2 to greater than 500,000 km2. We carried out correlation analysis between selected physiographical and climatological predictors and the reservoir parameters of the multiscale lake module, mLM, of the mHM model (https://presentations.copernicus.org/EGU2020/EGU2020-6047_presentation.pdf). For an instance, the reservoir rule curves in mLM are estimated based on inflow and position of water level. The predictors here are inflow and water level which are normalized using catchment area and the shape of the reservoir, respectively. Similarly, the timing and shape parameters of rule curves were plotted against the climatological characteristics of the upstream catchment. The preliminary results reveal significant trends between the mLM parameters and the normalized predictors. These mathematical relationships, better known as transfer functions, can now be used to generate a single global reservoir parameter set. The demonstrated hypothesis helps to optimize regulated hydrology using a single parameter set, irrespective of size, location and inherent climatology of reservoirs involved. This is inline with the pre-existing paradigm of multiscale parameter regionalization (MPR) of mHM. The findings contribute to the contemporary effort of hydrological modeling society towards improved global scale hydrological modeling. |
| Persistent UFZ Identifier | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=29890 |
| Shrestha, P.K., Thober, S., Samaniego, L. (2021): Regionalization of Reservoir regulation parameters using physiographic and climatological predictors EGU General Assembly 2021, online, 19–30 April 2021 EGUsphere Copernicus Publications, EGU21-5030 10.5194/egusphere-egu21-5030 |
|