11 Jan 2021
Research article | 11 Jan 2021
Physical versus economic water footprints in crop production: a spatial and temporal analysis for China
Xi Yang et al.
Related subject area
Subject: Water Resources Management | Techniques and Approaches: Mathematical applicationsA novel objective function DYNO for automatic multivariable calibration of 3D lake modelsThe importance of non-stationary multiannual periodicities in the North Atlantic Oscillation index for forecasting water resource droughtDecreased virtual water outflows from the Yellow River basin are increasingly critical to ChinaAI-based techniques for multi-step streamflow forecasts: application for multi-objective reservoir operation optimization and performance assessmentOptimal water use strategies for mitigating high urban temperatures
Hydrol. Earth Syst. Sci., 26, 3651–3671,2022
Hydrol. Earth Syst. Sci., 26, 2449–2467,2022
Hydrol. Earth Syst. Sci., 26, 2035–2044,2022
Hydrol. Earth Syst. Sci., 25, 5951–5979,2021
Hydrol. Earth Syst. Sci., 25, 387–400,2021
Abedinpour, M., Sarangi, A., Rajput, T. B. S., Singh, M., Pathak, H., and Ahmad, T.: Performance evaluation of AquaCrop model for maize crop in a semi-arid environment, Agr. Water Manage., 110, 55–66, https://doi.org/10.1016/j.agwat.2012.04.001, 2012.
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56, FAO, Rome, Italy, 1998.
Anselin, L.: Local indicators of spatial association – LISA, Geogr. Anal., 27, 93–115, 1995.
Anselin, L.: Exploring Spatial Data with GeoDa: A Workbook, Spatial Analysis Laboratory, Department of Geography, University of ILLinois, Urbana-Champaign, Urbana, IL 61801, 2005.
Anselin, L., Syabri, I., and Kho, Y.: GeoDa: An introduction to spatial data analysis, Geogr. Anal., 38, 5–22, https://doi.org/10.1111/j.0016-7363.2005.00671.x, 2006.