Your search found 3 records
1 Jakeman, A. J.; Green, T. R.; Zhang, L.; Beavis, S. G.; Evans, J. P.; Dietrich, C. R.; Barnes, B. 1998. Modelling catchment erosion, sediment and nutrient transport in large basins. In de Vries, F. W. T. P.; Agus, F.; Kerr, J. (Eds.). Soil erosion at multiple scales: Principles and methods for assessing causes and impacts. Wallingford, UK: CABI; Bangkok, Thailand: IBSRAM. pp.343-355.
Catchment areas ; Erosion ; Sedimentation ; Simulation models ; Rainfall-runoff relationships ; Stream flow ; Climate / Australia / Thailand / New South Wales / Namoi Basin / Ping Basin
(Location: IWMI-HQ Call no: 631.45 G000 DEV Record No: H027846)

2 Gurdak, J. J.; Leblanc, M.; Aureli, A.; Resende, T. C.; Faedo, G.; Green, T. R.; Tweed, S.; Longuevergne, L.; Allen, D. M.; Elliott, J. F.; Taylor, R. G.; Conti, K. 2015. GRAPHIC position paper and call to action. Groundwater and climate change: mitigating the global groundwater crisis and adapting to climate change. Paris, France: UNESCO International Hydrological Programme (IHP). GRAPHIC - Groundwater Resources Assessment under the Pressures of Humanity and Climate Change Project. 16p.
Groundwater management ; Groundwater recharge ; Climate change adaptation ; Water resources ; Water scarcity ; Assessment ; Water quality ; Water policy ; Aquifers ; Monitoring ; International cooperation ; Strategies ; Agricultural policy ; Food production ; Gender ; Women ; Sustainability
(Location: IWMI HQ Call no: e-copy only Record No: H047352)
http://www.graphicnetwork.net/wp-content/uploads/2015/11/GRAPHIC_pp20151.pdf
https://vlibrary.iwmi.org/pdf/H047352.pdf
(1.55 MB) (1.55 MB)

3 Veettil, A. V.; Mishra, A. K.; Green, T. R.. 2022. Explaining water security indicators using hydrologic and agricultural systems models. Journal of Hydrology, 607:127463. (Online first) [doi: https://doi.org/10.1016/j.jhydrol.2022.127463]
Water security ; Indicators ; Hydrological modelling ; Agriculture ; Water footprint ; Water demand ; Water scarcity ; Water stress ; Water quality ; Water storage ; Water availability ; Freshwater ; Watersheds ; Food production ; Fertilizer application ; Biofuels ; Crop management ; Irrigated farming ; Precipitation ; Spatial distribution / USA / Colorado / Big Dry Creek Watershed
(Location: IWMI HQ Call no: e-copy only Record No: H050926)
https://vlibrary.iwmi.org/pdf/H050926.pdf
(3.41 MB)
Water security plays an important role in socio-economic development, ecosystem management, and environmental sustainability. Over the last four decades, water security assessment has attracted much political and economic attention. An improved understanding of the relationships between water demand and supply is needed to mitigate the impacts of diminishing water resources. This study provides an overview of water security assessment by focusing on the various water security indicators and the concept of water footprint (blue, green, and grey water). The water security indicators based on the water footprint concept is currently receiving more attention because it accounts for the return flow from the total water withdrawn from a watershed. We also investigate the application of different physically-based hydrological models, such as Soil and Water Assessment Tool (SWAT) and Variable Infiltration Capacity (VIC), on water security assessment at a regional to continental scale. However, hydrological/agricultural system models cannot quantify evapotranspiration from irrigation and rainwater separately. Therefore, independent quantification of blue and green water footprint from an irrigated field is challenging. For illustration purposes, we apply the fully distributed Agricultural Ecosystems Services (AgES) model in the Big Dry Creek Watershed (BDCW), an intensively managed and irrigated watershed located in semiarid Colorado. The results indicate that the blue water footprint is higher than the green water footprint in the watershed. In addition, the spatial distribution of grey water footprint is highly correlated with the amount of fertilizer application. The variation of grey water footprint among the irrigated fields is higher than blue and green water footprints. We conclude that applying a physically distributed model can provide useful insight into the impact of climate and anthropogenic activities on water security at different scales.

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