Sustainable water management to address the sustainability and healthiness of the global food system
keywords AGRICOLTURE 4.0, IRRIGATION AND SUSTAINABLE WATER USE, SUSTAINABILITY INDICATORS, WATER FOOTPRINT, WATER-FOOD-ENERGY NEXUS, WATER RESOURCES, BIG DAT
Reference persons FRANCESCO LAIO, LUCA RIDOLFI, MARTA TUNINETTI
Research Groups water to food https://watertofood.org/
Thesis type DATA ANALYSIS, NUMERICAL AND PROGRAMMING
Description The global food system is a key driver of water depletion, directly, through the over-exploitation of water resources, with withdrawals from surface water bodies and aquifers (70% of global withdrawals), and indirectly through deforestation, biodiversity loss, pollution, and climate change alterations. The Water Footprint indicator identifies the freshwater needed for producing goods along the full supply chain, thus providing a quantitative framework to analyze the volume of water embedded in agricultural goods and the water use efficiency.
These theses aim to enhance the resolution and accuracy of WF assessment by quantifying the impact and the climate risk associated with irrigation practices, climate change extremes, agro-business corporations, agro-chemical hazards, and the food choices at the consumers scale.
See also proposte tesi.pdf https://watertofood.org/
Deadline 01/08/2023 PROPONI LA TUA CANDIDATURA