The global component of freshwater demand and supply: an assessment of virtual water flows between nations as a result of trade in agricultural and industrial products

By A. Chapagain, Arjen Y. Hoekstra. 2008

467 citations recorded by the source corpus.

Subfields: Environmental Engineering, Ocean Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/c70faf3bdf6886936f7de0b85ed293382bffb794

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In Environmental Engineering

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In Water Science and Technology

Citations in the corpus

Fuzzy input–output model for optimizing eco-industrial supply chains under water footprint constraints (2011, background): “The total water footprint is defined as the associated amount of freshwater used to produce the goods and services consumed by a defined group, such as a business entity or a country (Hoekstra and Hung, 2002; Chapagain and Hoekstra, 2007, 2008).”
Theoretical exploration for the combination of the ecological, energy, carbon, and water footprints: Overview of a footprint family (2014, background): “…water, and from rain, respectively), while the grey footprints refer to the waste assimilation by water and is defined as the volume of freshwater required to assimilate the load of pollutants based on the existing ambient water quality standards (Chapagain and Hoekstra, 2008; Hoekstra, 2009).”
Human appropriation of natural capital: A comparison of ecological footprint and water footprint analysis (2009, background): “‘Virtualwater trade’ occurs when water-intensive products are traded from one place to another (Hoekstra and Hung, 2005; Chapagain and Hoekstra, 2008 ).”
The Global Dimension of Water Governance: Why the River Basin Approach Is No Longer Sufficient and Why Cooperative Action at Global Level Is Needed (2010, background): “The water-neutral concept was conceived by Pancho Ndebele at the 2002 Johannesburg World Summit for Sustainable Development (WSSD) and scientifically elaborated by Hoekstra [101].”
Nominal 30-m Cropland Extent Map of Continental Africa by Integrating Pixel-Based and Object-Based Algorithms Using Sentinel-2 and Landsat-8 Data on Google Earth Engine (2017, methodology): “In order to derived the country level cropland area statistics from the 30-m crop extent map of Africa, we used the Global Administrative Unit Layers (GAUL) from UN FAO as country boundaries to create Table 4 as well as statistics from other sources, including AquaStat [91], Mirca2000 [92], GRIPC [1”
Internal and external green-blue agricultural water footprints of nations, and related water and land savings through trade (2011, methodology): “De Fraiture et al. (2004) computed water savings for cereals similar to ours with the IMPACT model (276 km3; LPJmL, 206 km3), though they used a different time period (1995), different trade data and, as a whole, different modelling approaches.”