airGRiwrm: an extension of the airGR R-package for handling Integrated Water Resources Management modeling
Authors: Dorchies David , Delaigue Olivier , Thirel Guillaume 
Published: March 2021

&lt;p&gt;IWRM modeling aims at representing interactions between humans and their environment (Badham et al. 2019), which can involve hydrological, surface-hydraulic, and groundwater models. Semi-distributed models implementing a simplified hydraulic propagation between sub-catchments are often used as IWRM model (Ficchi et al. 2014, Dorchies et al. 2016) because of the good trade-off they offer between simplification and result relevancy.&lt;br&gt;&lt;br&gt;The R-package &lt;strong&gt;airGR&lt;/strong&gt; (Coron et al., 2017, 2020) is widely used in the R language hydrology community and its recent development with semi-distributive (see Abstract EGU21-1371) capabilities allows to use it for IWRM modeling. The R-package &lt;strong&gt;airGRiwrm&lt;/strong&gt; has been developed for multiple purposes linked to IWRM. First, it proposes a simplified network description for building semi-distributed models containing several sub-basins with diverse connections, which greatly simplifies the calibration and modeling steps. Then, it allows to easily integrate predefined flows (feedforward control) into the model, namely local flow injections or withdrawals. Finally, it integrates controllers that apply user-defined decision algorithms given model outputs during simulation (feedback control). The controllers allows for example to apply withdrawal restriction in case of drought, or to simulate a reservoir behaviour with complex management rules.&lt;/p&gt;&lt;p&gt;In this presentation, we will introduce the &lt;strong&gt;airGRiwrm&lt;/strong&gt; possibilities and we will demonstrate its use on the case of the Seine River basin in France.&amp;#160;&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;References:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;Badham, J., et al., 2019. Effective modeling for Integrated Water Resource Management: A guide to contextual practices by phases and steps and future opportunities. Environmental Modelling &amp; Software 116, 40&amp;#8211;56. https://doi.org/10.1016/j.envsoft.2019.02.013&lt;/p&gt;&lt;p&gt;Coron, L., Delaigue, O., Thirel, G., Perrin, C., Michel, C., 2020. airGR: Suite of GR Hydrological Models for Precipitation-Runoff Modelling. R package version 1.4.3.65. https://doi.org/10.15454/EX11NA&lt;/p&gt;&lt;p&gt;Coron, L., Thirel, G., Delaigue, O., Perrin, C., Andr&amp;#233;assian, V., 2017. The suite of lumped GR hydrological models in an R package. Environmental Modelling &amp; Software 94, 166&amp;#8211;171. https://doi.org/10.1016/j.envsoft.2017.05.002&lt;/p&gt;&lt;p&gt;Dorchies, D., Thirel, G., Perrin, C., Bader, J.-C., Thepot, R., Rizzoli, J.-L., Jost, C., Demerliac, S., 2016. Climate change impacts on water resources and reservoir management in the Seine river basin (France). La Houille Blanche 32&amp;#8211;37. https://doi.org/10.1051/lhb/2016047&lt;br&gt;Ficchi, A., Raso, L., Malaterre, P.-O., Dorchies, D., Jay-Allemand, M., 2014. Short Term Reservoirs Operation On The Seine River: Performance Analysis Of Tree-Based Model Predictive Control. Presented at the International Conference on Hydroinformatics, New York.&lt;/p&gt;