On 5 and 6 December 2019, the Science Platform Sustainability 2030 will hold to its first annual conference in Berlin. GRoW researchers will present the ‘water footprint’ concept as a strategy for the effective implementation of the Sustainable Development Goals (SDGs).
The GRoW project WELLE offers a webinar on December 3rd and 10th to introduce its recently developed web-based tool for calculating a company’s water footprint – the Organizational Water Footprint tool (OWF).
The multi-scale hydrological substance emission model MoRE (Modelling of Regionalized Emissions) was further developed and optimized by GRoW researchers and will now be used by the associated MuDaK-WRM project partner Universidade Federal do Paraná (UFPR) in the Paranapanema River in Southern Brazil
As part of the GRoW-project TRUST, researchers are training an Artificial Intelligence (AI), with the help of which aerial photos can be used to make statements about soil properties.
The UNESCO World Water Assessment Programme (WWAP) recently analysed the critical role of water to achieve the Sustainable Development Goals (SDGs) under review at the 2019 UN High-Level Political Forum on Sustainable Development (HLPF). Three regional policy papers for Africa, the Arab region and
The WELLE project develops methodical and practical solutions for the determination of the water footprint of companies. Among these solutions is the recently developed web-based tool for calculating a company’s water footprint – the Organizational Water Footprint tool (OWF). A free online tool faci
MedWater develops management tools for efficient and sustainable water use of scarce groundwater resources for vulnerable karst aquifers within the Mediterranean region and the Middle East. MedWater recently applied their tools in the Western Aquifer in Israel, aiming at developing a model-based
Virtual Water Values (ViWA) monitors global water use efficiency and develops instruments to efficiently use water resources in agriculture. The project uses an agro-hydrological simulation model and extends a general-equilibrium economic model of agricultural trade with virtual water data. Thus
