Welcome to floodam.agri
floodam.agri is an R library for producing flood damage functions for cultivated plot (agriculture).
This library has been developed within the French working group “GT AMC” which aims at developing methodologies for the economic appraisal of flood management policies (Agenais et al. 2013 ; Brémond et al. 2022). In this context, the development of floodam.agri has received the support of the French Ministry in charge of the Environment. Further development of the library was supported by the Labex AGRO 2011-LABX-002 as part of the CAFRUA project n°2101-027.
What floodam.agri can do
floodam.agri is based on a model of agricultural plots.
floodam.agri includes a collection of elementary damage components that describe how elementary components may be impacted in terms of monetary damage when flooded in specific conditions.
From this information, floodam.agri can calculate the following outputs:
- different type of damage functions:
- absolute damage functions to specific crops at plot level
- absolute damage functions to type of crops at plot level
What floodam.agri cannot do
floodam.agri cannot (and is not intended to):
- calculate damage from the intersection of hydraulic modeling, land use modeling and damage functions. This is what floodam.spatial does.
- calculate damage at the farm level by taking into account interactions between plots, buildings and equipment. This is what AVA does.
floodam.agri cannot (but should at some point be able to) :
- calculate the uncertainty of damage functions
- perform a sensitivity analysis of damage functions
- calculate damage functions at farm level
How to get floodam.agri?
You can download and install it from this archive: www.floodam.org/library/floodam.agri_1.0.3.0.tar.gz.
For instance, from a terminal, the command you can use is:
References
Agenais, Anne-Laure, Frédéric Grelot, Pauline Brémond, and Katrin Erdlenbruch. 2013. “Dommages Des Inondations Au Secteur Agricole. Guide Méthodologique Et Fonctions Nationales.” Groupe de travail national ACB Inondation. IRSTEA. https://hal.inrae.fr/hal-02600061.
Brémond, Pauline, Anne-Laurence Agenais, Frédéric Grelot, and Claire Richert. 2022. “Process-Based Flood Damage Modelling Relying on Expert Knowledge: A Methodological Contribution Applied to the Agricultural Sector.” Natural Hazards and Earth System Sciences 22 (10): 3385–3412. https://doi.org/10.5194/nhess-22-3385-2022.