EGU2020-477
https://doi.org/10.5194/egusphere-egu2020-477
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Web-based hydrological modelling tool - Hidro-Odtu

Çağrı Hasan Karaman1, Zuhal Akyürek2,3, and Kenan Bolat4
Çağrı Hasan Karaman et al.
  • 1Middle East Technical University, Graduate School of Natural and Applied Sciences, Geodetic and Geographic Information Technologies (GGIT), Ankara, Turkey (cagri.karaman@metu.edu.tr)
  • 2Middle East Technical University, Graduate School of Natural and Applied Sciences, Geodetic and Geographic Information Technologies (GGIT), Ankara, Turkey (zakyurek@metu.edu.tr)
  • 3Middle East Technical University, Civil Engineering Department, Water Resources Laboratory, Ankara, Turkey
  • 4Hidrosaf co. ltd. , Ankara, Turkey (kenanbolat@hidrosaf.com)

Bucket-type conceptual hydrological models are widely popular, because of their relatively low data and computational demands. With the improved computational techniques and advances in computer sciences, web based hydrological modelling tools are becoming available too. Conceptual rainfall-runoff (CRR) models are designed to approximate the general physical mechanisms which govern the hydrologic cycle and found practical by many hydrologists and engineers. In this context, a web based, open-source, platform independent, easily accessible hydrological modelling tool Hidro-Odtu has been designed. Aiming at providing fast and accurate results, Hidro-Odtu utilize lumped and semi-distributed hydrological modelling capabilities. The design of the Hidro-Odtu contains pre-processing using the tools to automatically delineate the river network and basin boundaries, input the forcing data, lumped hydrological modelling with parameter calibration capability, hydrological overland flow routing and dynamic result visualization. Moreover, web-based technologies allow remotely prepare model input files, run model calculation and display model results for rainfall-runoff calculations. Bucket storage lumped, conceptual rainfall-runoff model is selected as core feature for hydrological model and it is enhanced to a semi-distributed model by including the Muskingum-Cunge flow routing method to simulate overland flow. Model results are evaluated by several performance indices such that Nash–Sutcliffe Efficiency Index (NSE), Sum of Square of Error (SSE) or Kling-Gupta Efficiency (KGE).

Hydrological modelling, calibration and routing algorithms have been implemented by using Python programming language for the back-end calculations and Node.js framework, html, JavaScript have been utilized for front-end side to handle data preparation and results visualization.

Hidro-Odtu have been evaluated with numerous data sets with different study areas and found successful to delineate sub basins and river network, to define rainfall-runoff relationship on the basis of the sub-basins. With this tool, it is aimed to obtain practical hydrological modelling results using web technologies.

How to cite: Karaman, Ç. H., Akyürek, Z., and Bolat, K.: Web-based hydrological modelling tool - Hidro-Odtu, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-477, https://doi.org/10.5194/egusphere-egu2020-477, 2019

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