07 Feb 2023
 | 07 Feb 2023
Status: a revised version of this preprint is currently under review for the journal NHESS.

CRHyME (Climatic Rainfall Hydrogeological Model Experiment): a new model for geo-hydrological hazard assessment at the basin scale

Andrea Abbate, Leonardo Mancusi, Antonella Frigerio, Monica Papini, and Laura Longoni

Abstract. This work presents the new model called CRHyME (Climatic Rainfall Hydrogeological Modelling Experiment), a tool for the geo-hydrological hazard evaluation. CRHyME is a physically based and spatially distributed model written in Python language and represents an extension of the classic hydrological models that simulate inflows-outflows at the basin scale. A series of routines have been integrated to describe the phenomena of geo-hydrological instabilities such as the 10 triggering of shallow landslides as well as debris flows, catchment erosion, and sediment transport into the river. These phenomena are generally decoupled with respect to the continuous hydrological simulation while in CRHyME they are quantitatively and simultaneously evaluated through a multi-hazard approach.

CRHyME has been tested on some case studies located in Italian basins. Valtellina and Emilia's areas were considered for the calibration and validation procedures of the model thanks also to the availability of literature data concerning past occurred 15 geo-hydrological instability phenomena. Calibration and validation of the model conducted on presented case studies have been assessed through some hydrological indexes such as NSE (Nash–Sutcliffe Efficiency) and RMSE (Root Mean Square Error) while for landslide phenomena the ROC (Receiver Operating Characteristic) methodology was applied. CHRyME has been able to: 1) reconstruct the surface runoff at the reference hydrometric stations located at the outlets of the basins, 2) estimate the solid transport at some hydropower reservoirs compared to the reference data, and 3) evaluate the triggering of 20 shallow landslides and debris flows compared to those recorded in the literature. The ranking has shown a rather good performance of the model in terms of numerical conservativity of water and solid balances, revealing suitable not only for back-analysis studies but also as an efficient tool for Civil Protection multi-hazard assessment.

Andrea Abbate et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2023-15', Anonymous Referee #1, 03 Apr 2023
    • AC1: 'Reply on RC1', Andrea Abbate, 19 May 2023
  • RC2: 'Comment on nhess-2023-15', Anonymous Referee #2, 08 May 2023
    • AC2: 'Reply on RC2', Andrea Abbate, 19 May 2023

Andrea Abbate et al.

Andrea Abbate et al.


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Latest update: 25 Nov 2023
Short summary
CRHyME (Climatic Rainfall Hydrogeological Model Experiment) is a new spatially distributed rainfall-runoff model. The main novelties are: the ability to integrate with climatic scenario outputs and the reproduction of geo-hydrological hazards strongly related to rainfalls such as shallow landslide, debris flow and watershed erosion. CRHyME has been written in PYTHON and works at a high spatial and temporal resolution to simulate geo-hydrological hazards triggered by extreme rainfall events.