“Water Footprint Assessment” session at AGU Fall Meeting 2015 (14-18 December) in San Francisco
Published on by Markus Pahlow, University of Canterbury - Senior Lecturer in Academic
“Water Footprint Assessment” session at AGU Fall Meeting 2015 (14-18 December) in San Francisco
Deadline: August 5, 2015 (23:59 EDT/03:59 +1 GMT), please visit: https://agu.confex.com/agu/fm15/preliminaryview.cgi/Session8701
Conveners: Saket Pande, Arjen Hoekstra, Megan Konar, Bridget R. Scanlon and Sonia Yeh
Invited speakers:
Stefania Tamea (Politecnico di Torino, Italy): A sensitivity analysis of crop water footprint worldwide
Benjamin L. Ruddell (Arizona State University, USA): Spatially detailed water footprint assessment using the U.S. National Water-Economy Database
Heather Cooley (Pacific Institute, USA): On California’s water footprint
Session Description:
This session invites submissions on developing and comparing methods to quantify and map green, blue and grey water footprints (applying simulation models and/or remote sensing techniques), assessing resultant water scarcity and water pollution levels, analyzing uncertainties, studying the subject of maximum sustainable water footprint at catchment level, and analyzing water productivities and water footprints per unit of production (eco-efficiency). Other submissions of interest include water footprint scenarios under changing consumer preferences, links between water footprint, global trade and local decision making, the (in)commensurability between water footprint assessment and neoclassic economics and the application of water footprint assessment in strategies of water governance and corporate water stewardship.
This session is (partially) developed within the framework of the Panta Rhei Research Initiative of the International Association of Hydrological Sciences (IAHS) under the research theme of Water Footprint Assessment and related working groups of comparative water footprint studies and socio-hydrologic modeling and synthesis.
Taxonomy
- Water Footprint
- Water Footprint Research