airGRiwrm: an extension of the airGR R-package for handling Integrated Water Resources Management modeling

2021 ◽  
Author(s):  
David Dorchies ◽  
Olivier Delaigue ◽  
Guillaume Thirel
Keyword(s):  
Water Resources ◽  
River Basin ◽  
Water Resource Management ◽  
R Package ◽  
Hydrological Models ◽  
Environmental Modelling ◽  
Seine River ◽  
Local Flow ◽  
Distributed Models ◽  
Seine River Basin

<p>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.<br><br>The R-package <strong>airGR</strong> (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 <strong>airGRiwrm</strong> 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.</p><p>In this presentation, we will introduce the <strong>airGRiwrm</strong> possibilities and we will demonstrate its use on the case of the Seine River basin in France. </p><p> </p><p><strong>References:</strong></p><p>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 & Software 116, 40–56. https://doi.org/10.1016/j.envsoft.2019.02.013</p><p>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</p><p>Coron, L., Thirel, G., Delaigue, O., Perrin, C., Andréassian, V., 2017. The suite of lumped GR hydrological models in an R package. Environmental Modelling & Software 94, 166–171. https://doi.org/10.1016/j.envsoft.2017.05.002</p><p>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 32–37. https://doi.org/10.1051/lhb/2016047<br>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.</p>

scholarly journals Climate change impacts on water resources and reservoir management in the Seine river basin (France)

2016 ◽  
pp. 32-37 ◽  
Author(s):  
David Dorchies ◽  
Guillaume Thirel ◽  
Charles Perrin ◽  
Jean-Claude Bader ◽  
Régis Thepot ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
River Basin ◽  
Climate Change Impacts ◽  
Reservoir Management ◽  
Seine River ◽  
Seine River Basin

New airGR developments: semi-distribution and data assimilation

2021 ◽  
Author(s):  
Guillaume Thirel ◽  
Olivier Delaigue ◽  
David Dorchies ◽  
Gaia Piazzi
Keyword(s):  
Data Assimilation ◽  
Water Resource Management ◽  
Transfer Functions ◽  
Initial Conditions ◽  
R Package ◽  
Snow Accumulation ◽  
Sequential Data ◽  
Hydrological Models ◽  
Streamflow Forecasting ◽  
Distributed Models

<p>airGR (Coron et al., 2017, 2020) is an R package that offers the possibility to use the GR rainfall-runoff models developed in the Hydrology Research Group at INRAE (formerly at Irstea). It allows running seven hydrological models (including GR4J) dedicated to different time steps (hourly to annual) that can be combined to a snow accumulation and melt model (CemaNeige).</p><p>Thanks to the success of the airGR package, that was downloaded 45,000 times so far among 50 countries in the world and was used in dozen of publications since its release[1], its development team carries on its efforts to offer new features and improve the computer codes. This is how after offering a first add-on, the airGRteaching package, expressly developed for educational purposes, the team now offers tools dedicated to semi-distribution and data assimilation.</p><p>Using (semi-)distributed models is often necessary to explicitly represent spatial climatic and physiographic heterogeneities and to allow an analysis of their impact on the watershed response. Consequently, in the latest version of the airGR package, we introduced the semi-distribution of GR models, which are traditionally lumped, on a sub-basin basis. This development will also ultimately enable possibilities of implementing on a modular way different transfer functions as well as integrated water resource management (see package airGRiwrm in Abstract EGU21-2190).</p><p>In addition, a new package, called airGRdatassim, was recently proposed (Piazzi et al., 2021a, b) as an add-on to the airGR package. airGRdatassim enables the user to assimilate discharge observations via both Ensemble Kalman filter (EnKF) and particle filter (PF) schemes. Besides improving the simulations of GR models, this new package extends the potential applications of airGR to forecasting purposes by allowing for a reliable assessment of the initial conditions of streamflow forecasts. </p><p> </p><p>References:</p><p>Coron L., Thirel G., Delaigue O., Perrin C., Andréassian V. (2017). The Suite of Lumped GR Hydrological Models in an R package, Environmental Modelling & Software, 94, 166-171. DOI: 10.1016/j.envsoft.2017.05.002.</p><p>Coron, L., Delaigue, O., Thirel, G., Perrin, C. and Michel, C. (2020). airGR: Suite of GR Hydrological Models for Precipitation-Runoff Modelling. R package version 1.4.3.65. URL: https://CRAN.R-project.org/package=airGR.</p><p>Piazzi, G., Delaigue, O. (2021a). airGRdatassim: Suite of Tools to Perform Ensemble-Based Data Assimilation in GR Hydrological Models. R package version 0.0.3.13. URL: https://gitlab.irstea.fr/HYCAR-Hydro/airgrdatassim.</p><p>Piazzi, G., Thirel, G., Perrin, C., Delaigue, O. (2021b, accepted). Sequential data assimilation for streamflow forecasting: assessing the sensitivity to uncertainties and updated variables of a conceptual hydrological model. Water Resources Research.</p><div><br><div> <p>[1] https://hydrogr.github.io/airGR/page_publications.html</p> </div> </div>

Patterns of fish species richness in the Seine River basin, France

Hydrobiologia ◽  
1993 ◽  
Vol 259 (3) ◽  
pp. 157-167 ◽  
Author(s):  
Thierry Oberdorff ◽  
Eric Guilbert ◽  
Jean-Claude Lucchetta
Keyword(s):  
Species Richness ◽  
River Basin ◽  
Fish Species ◽  
Seine River ◽  
Seine River Basin

scholarly journals Silver and thallium historical trends in the Seine River basin

2010 ◽  
Vol 12 (11) ◽  
pp. 2177 ◽  
Author(s):  
Sophie Ayrault ◽  
Cindy Rianti Priadi ◽  
Olivier Evrard ◽  
Irène Lefèvre ◽  
Philippe Bonté
Keyword(s):  
River Basin ◽  
Historical Trends ◽  
Seine River ◽  
Seine River Basin

Pluri-annual recharge assessment using vertical soil temperature profiles: Example of the Seine river basin (1984–2001)

2009 ◽  
Vol 341 (10-11) ◽  
pp. 949-956 ◽  
Author(s):  
Alain Tabbagh ◽  
Roger Guérin ◽  
Hocine Bendjoudi ◽  
Bruno Cheviron ◽  
Mohamed-Amine Bechkit
Keyword(s):  
Soil Temperature ◽  
River Basin ◽  
Temperature Profiles ◽  
Seine River ◽  
Seine River Basin

scholarly journals Human and Natural Impacts on the Water Resources in the Syr Darya River Basin, Central Asia

2019 ◽  
Vol 11 (11) ◽  
pp. 3084 ◽  
Author(s):  
Shan Zou ◽  
Abuduwaili Jilili ◽  
Weili Duan ◽  
Philippe Maeyer ◽  
Tim de Voorde
Keyword(s):  
Water Resources ◽  
Central Asia ◽  
River Basin ◽  
River Discharge ◽  
Water Resource Management ◽  
Agricultural Land ◽  
Sharp Decline ◽  
Essential Information ◽  
Effective Water ◽  
Syr Darya

Water resources are increasingly under stress in Central Asia because downstream countries are highly dependent on upstream countries. Water is essential for irrigation and is becoming scarcer due to climate change and human activities. Based on 20 hydrological stations, this study firstly analyzed the annual and seasonal spatial–temporal changes of the river discharges, precipitation, and temperature in the Syr Darya River Basin and then the possible relationships between these factors were detected. Finally, the potential reasons for the river discharge variations have been discussed. The results show that the river discharges in the upper stream of the basin had significantly risen from 1930 to 2006, mainly due to the increase in temperature (approximately 0.3 °C per decade), which accelerated the melting of glaciers, while it decreased in the middle and lower regions due to the rising irrigation. In the middle of the basin, the expansion of the construction land (128.83 km2/year) and agricultural land (66.68 km2/year) from 1992 to 2015 has significantly augmented the water consumption. The operations of reservoirs and irrigation canals significantly intercepted the river discharge from the upper streams, causing a sharp decline in the river discharges in the middle and lower reaches of the Syr Darya River in 1973. The outcomes obtained from this study allowed us to understand the changes in the river discharges and provided essential information for effective water resource management in the Syr Darya River Basin.

scholarly journals Impacts of Climate and Land-Use Change on Blue and Green Water: A Case Study of the Upper Ganjiang River Basin, China

Water ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2661
Author(s):  
Yongfen Zhang ◽  
Chongjun Tang ◽  
Aizhong Ye ◽  
Taihui Zheng ◽  
Xiaofei Nie ◽  
...  
Keyword(s):  
Land Use ◽  
Resource Management ◽  
Water Resources ◽  
Land Use Change ◽  
River Basin ◽  
Water Resource ◽  
Water Resource Management ◽  
Green Water ◽  
Precipitation Changes ◽  
Ganjiang River Basin

Quantitatively figuring out the effects of climate and land-use change on water resources and their components is essential for water resource management. This study investigates the effects of climate and land-use change on blue and green water and their components in the upper Ganjiang River basin from the 1980s to the 2010s by comparing the simulated changes in blue and green water resources by using a Soil and Water Assessment Tool (SWAT) model forced by five climate and land-use scenarios. The results suggest that the blue water flow (BWF) decreased by 86.03 mm year−1, while green water flow (GWF) and green water storage (GWS) increased by 8.61 mm year−1 and 12.51 mm year−1, respectively. The spatial distribution of blue and green water was impacted by climate, wind direction, topography, and elevation. Climate change was the main factor affecting blue and green water resources in the basin; land-use change had strong effects only locally. Precipitation changes significantly amplified the BWF changes. The proportion of surface runoff in BWF was positively correlated with precipitation changes; lateral flow showed the opposite tendency. Higher temperatures resulted in increased GWF and decreased BWF, both of which were most sensitive to temperature increases up to 1 °C. All agricultural land and forestland conversion scenarios resulted in decreased BWF and increased GWF in the watershed. GWS was less affected by climate and land-use change than GWF and BWF, and the trends in GWS were not significant. The study provides a reference for blue and green water resource management in humid areas.

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