A Comprehensive Gridded Dataset Associated to the Climate Change Effect on the Water Resources in the Grand Est Region, France

Water resources and environment quality are nowadays under high pressure because of climate change, land use practices, as well as human actions. A comprehensive gridded dataset becomes a necessary instrument to assess the risk level at regional scale, and also for territorial planning, the defining strategies to address future natural and anthropological challenges. In order to obtain a complete database with the most important parameters at spatial scale, this study is constructed as a preparation of layers used for various environmental risks, but mostly with the climate change effect on the water resources from the Grand Est region, France. In addition, geological formations, terrain data, and land cover were harmonized as grid format for the study area. Thus, the temperature and precipitation parameters, related to the 1961-1990 (1990s), 2011-2040 (2020s), and 2041-2070 (2050s), become useful data for evapotranspiration, water availability, and effective precipitation calculations. The geology layer indicates the composition and types of aquifers and it contributes to the potential infiltration map (PIM). The morphology of the terrain contributes to the slope angle and PIM. Through the typology of land cover, the pollution load index (PLI) was estimated. The findings indicate intense aridization and the depletion of the effective precipitation (below 650 mm) during the present and future periods. With respect to these concerns, the surface waters and groundwater resources from the Grand Est region are experiencing the negative effects of climate change on runoff and aquifers recharge respectively. In addition, the high PLI in the industrial and agricultural areas contribute to the possibility of the increasing water resources vulnerability. The affected areas extend mainly in the western, north-central, and north-eastern parts of the region, mainly in the Rhine, Aube, and Marne Valleys. Considered as a precious resource in the region, the water management should follow best practices for vulnerability and risk assessment, and further to delineate the protection areas. As a comprehensive gridded dataset, the calculations and original maps presented in this paper represent a complex product with main environmental parameters processed at spatial scale of 1 km(2) in ArcGIS. This product has the purpose to integrate the geospatial data for the Grand Est region of France.