The RCCC-WBM is a simplified hydrological model, developed by the Research Center for Climate Change (RCCC), Ministry of Water Resources of China. The model estimates monthly stream flow from precipitation, temperature, and potential evapotranspiration. Its advantages include a simpler structure, fewer parameters and more flexibility. The model has been successfully applied to over 200 typical catchments and showed good performance.
this web-based application is written by R project, together with shiny package, which provides the functions of interactive operation and web deployment. The required packages also include: ggplot2, shinythemes, formattables, and DT.
- Lumped monthly discharge modelling (Wang et al., 2013)
- WBM model parameter sensitivity analysis (Wang et al., 2014)
- Runoff variation attribution (effect partition from climate change and anthropogenic activities) (Wang et al., 2016)
- Sensitivity analysis of runoff to the changes in precipitation and air temperature (Wang et al., 2017)
run the ./scr/app.R and launch the application after successful installation of the required packages. The UI of this application is straightforward and intuitive.
Delimited file format is suggested for data preparation like .txt or .csv. An exemplary data file is provided as ./data/Taohe River-Dataset-monthly-1955-2014-24973.txt. The data set should contain 6 columns, accommodating year, month, precipitation [mm/month], potential evapotranspiration [mm/month], average air temperature [degree Celsius], monthly average discharge [m3/s] respectively. In addition, the area of the catchment (here 24973 for the exemplary basin) is also required as a key argument in modelling.
There are 6 functional panels in this interactive application, and the functionalities are introdued as following in a atabular format.
| Panel | Contents | Functionalities |
|---|---|---|
| Basin info | speficify the basin info | inform the application of the area of catchment |
| Data input | import the data file | specify the data importing behaviors and get the data in |
| Simulation | hydrological modelling with WBM | set the key controls in WBM simulation including modelling period, model parameters and performance evaluations |
| Quantitative attribution | quantify the effects from climate change and human activities on runoff variations | specify the change period, and partition the contribution from two sources to the runoff changes |
| Sensitivity analysis | sensitivity of runoff to precipitation and tempeature | develop different scenarios by adjusting precipitation and tempeature (evapotranspiration) and then quantify the runoff response |
| Parameter analysis | WBM model parameter local sensitivity analysis | modulate the 4 WBM parameters and estimate the response of WBM |
See the paper: G. Q. Wang, J. Y. Zhang, Y. Q. Xuan, J. F. Liu, J. L. Jin, Z. X. Bao, R. M. He, C. S. Liu, Y. L. Liu, and X. L. Yan. 2013. Simulating the Impact of Climate Change on Runoff in a Typical River Catchment of the Loess Plateau, China. Journal of Hydrometeorology, 14(5):1553-1561 DOI: https://doi.org/10.1175/JHM-D-12-081.1
Prof. Dr. Guoqing Wang (Email: gqwang@nhri.cn)
Xiaoxiang Guan (Email: xxguan@hhu.edu.cn)