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Understanding the water–food–energy nexus for supporting sustainable food production and conserving hydropower potential in China
Liu, W., Yang, H., Tang, Q., & Liu, X. (2019). Understanding the water–food–energy nexus for supporting sustainable food production and conserving hydropower potential in China. Frontiers in Environmental Science, 7, 50 (10 pp.). https://doi.org/10.3389/fenvs.2019.00050
Water resources conservation and nitrogen pollution reduction under global food trade and agricultural intensification
Liu, W., Yang, H., Liu, Y., Kummu, M., Hoekstra, A. Y., Liu, J., & Schulin, R. (2018). Water resources conservation and nitrogen pollution reduction under global food trade and agricultural intensification. Science of the Total Environment, 633, 1591-1601. https://doi.org/10.1016/j.scitotenv.2018.03.306
Modelling global water–food–environment–trade nexus in the context of agricultural intensification
Liu, W. (2017). Modelling global water–food–environment–trade nexus in the context of agricultural intensification [Doctoral dissertation, ETH Zurich]. https://doi.org/10.3929/ethz-b-000196019
Towards improvement of grey water footprint assessment: with an illustration for global maize cultivation
Liu, W., Antonelli, M., Liu, X., & Yang, H. (2017). Towards improvement of grey water footprint assessment: with an illustration for global maize cultivation. Journal of Cleaner Production, 147, 1-9. https://doi.org/10.1016/j.jclepro.2017.01.072
Global assessment of nitrogen losses and trade-offs with yields from major crop cultivations
Liu, W., Yang, H., Liu, J., Azevedo, L. B., Wang, X., Xu, Z., … Schulin, R. (2016). Global assessment of nitrogen losses and trade-offs with yields from major crop cultivations. Science of the Total Environment, 572, 526-537. https://doi.org/10.1016/j.scitotenv.2016.08.093
Global investigation of impacts of PET methods on simulating crop-water relations for maize
Liu, W., Yang, H., Folberth, C., Wang, X., Luo, Q., & Schulin, R. (2016). Global investigation of impacts of PET methods on simulating crop-water relations for maize. Agricultural and Forest Meteorology, 221, 164-175. https://doi.org/10.1016/j.agrformet.2016.02.017