2012
DOI: 10.1007/s11027-012-9377-3
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Global evaluation of the effects of agriculture and water management adaptations on the water-stressed population

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Cited by 47 publications
(38 citation statements)
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“…Then they adopted a logarithmic model and regressed with the data that represent the present global relationship between per capita GDP and water use. Hayashi et al (2013) adopted the same model as Shen et al (2008), while they made regression separately from urban and rural areas since the accessibility to tap water is substantially different. Because their models do not require historical timeseries data of regions and countries, it is easy to calibrate the model parameter.…”
Section: Households (Domestic Sector)mentioning
confidence: 99%
“…Then they adopted a logarithmic model and regressed with the data that represent the present global relationship between per capita GDP and water use. Hayashi et al (2013) adopted the same model as Shen et al (2008), while they made regression separately from urban and rural areas since the accessibility to tap water is substantially different. Because their models do not require historical timeseries data of regions and countries, it is easy to calibrate the model parameter.…”
Section: Households (Domestic Sector)mentioning
confidence: 99%
“…The above review indicates that five factors are required to estimate potential irrigation water demand: E pot , P eff , A irg , Alcamo et al (2003aAlcamo et al ( , 2007 Electricity production Parameter Per capita GDP Shen et al (2008) Electricity production Primary energy, GDP Voß and Flörke (2010), Flörke et al (2013) Manufacturing output expressed in Parameter GDP manufacturing water gross value added Voß and Flörke (2010), Flörke et al (2013) Thermal electricity production Parameter Fraction of cooling type thermal power cooling water Hayashi et al (2012) Sector-wise production of manufacturing sectors i irg , and e irg . Döll (2002) projected the global withdrawalbased potential irrigation water demand for the 2020s and 2070s under different climate scenarios using two global climate models and one GHG emission scenario, in order to account for changes in E pot and P eff .…”
Section: Irrigation Water Withdrawalmentioning
confidence: 99%
“…Hayashi et al (2012) proposed a new type of model that accumulated sector-wise potential industrial water demand. All of these earlier studies estimated model parameters from the historical record.…”
Section: Highmentioning
confidence: 99%
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“…Furthermore, in many regions, the primary source of cooking fuel is wood harvested from native and non-agricultural vegetation, especially from forests. Superimposed on current drivers of desertification, SSA is also expected to have an increase in population from 1.4 billion to 2.4 billion by 2050 [46]. There is continued debate on population growth acting as a driver for land use changes, however.…”
Section: Desertification In the Sahelmentioning
confidence: 99%