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Assessing grain crop water productivity of China using a hydro-model-coupled-statistics approach: Part I: Method development and validation

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  • Huang, Feng
  • Li, Baoguo

Abstract

Identifying and quantifying the links between water resources and food production is crucial in addressing the intensified conflicts between water scarcity and food security. We proposed an integrated framework for quantifying relationships between food and water based on the concept of green water (GW), blue water (BW) and crop water productivity (CWP). An estimation method coupling hydrologic model and crop and water statistics was developed and validated to quantify basin-scale GW, BW and CWP in breadbasket basins of China. A basin-scale GW and BW assessment method was developed by using the Soil and Water Assessment Tool (SWAT). Monthly-step calibration and validation were performed at 15 discharge flow stations in seven first-order river basins of the country. The coefficient of determination (r2) and Nash-Sutcliffe Efficiency (NSE) in calibration stage ranged from 0.18 to 0.95, and -4.22 to 0.93, respectively; while in validation period, r2 ranged from 0.02 to 0.97 and NSE ranged from -266.7 to 0.96. The simulated available soil water was validated against the observed soil moisture data, and the results showed that the model can reflect the yearly average values of soil water storage. Overall, the modeling performance for river basins with 4.94 million km2 of drainage areas in total was acceptable. The simulated hydrologic components were then coupled with crop-and-water-statistics-based estimation method for assessing basin-scale CWP on four staple grain crops, i.e. rice, wheat, maize, and soybean. The results were validated by comparing with the similar investigations in China and around the globe. It was concluded that the overall performance of the estimation method was acceptable, and the method can be applied in assessing basin-scale GW, BW and CWP in China.

Suggested Citation

  • Huang, Feng & Li, Baoguo, 2010. "Assessing grain crop water productivity of China using a hydro-model-coupled-statistics approach: Part I: Method development and validation," Agricultural Water Management, Elsevier, vol. 97(7), pages 1077-1092, July.
    • Handle: RePEc:eee:agiwat:v:97:y:2010:i:7:p:1077-1092
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    as
    1. Molden, D., 1997. "Accounting for water use and productivity," IWMI Books, Reports H021374, International Water Management Institute.
    2. Keller, A. A., 1995. "Effective efficiency: a water use efficiency concept for allocating freshwater resources," IWMI Working Papers H043180, International Water Management Institute.
    3. Novo, P. & Garrido, A. & Varela-Ortega, C., 2009. "Are virtual water "flows" in Spanish grain trade consistent with relative water scarcity?," Ecological Economics, Elsevier, vol. 68(5), pages 1454-1464, March.
    4. Seckler, D., 1996. "The new era of water resources management: from \dry\ to \wet\ water savings," IWMI Research Reports H018206, International Water Management Institute.
    5. Gassman, Philip W. & Reyes, Manuel R. & Green, Colleen H. & Arnold, Jeffrey G., 2007. "The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research Directions," ISU General Staff Papers 200701010800001027, Iowa State University, Department of Economics.
    6. Schuol, J. & Abbaspour, K.C., 2007. "Using monthly weather statistics to generate daily data in a SWAT model application to West Africa," Ecological Modelling, Elsevier, vol. 201(3), pages 301-311.
    7. Molden, D. & Murray-Rust, H. & Sakthivadivel, R. & Makin, I., 2003. "A water-productivity framework for understanding and action," IWMI Books, Reports H032632, International Water Management Institute.
    8. Molden, David, 2007. "Water for food, water for life: a comprehensive assessment of water management in agriculture: summary. In Russian," IWMI Books, Reports H041260, International Water Management Institute.
    9. Keller, A. A., 1995. "Effective efficiency: a water use efficiency concept for allocating freshwater resources," IWMI Working Papers H044344, International Water Management Institute.
    10. de Fraiture, Charlotte & Cai, X & Amarasinghe, Upali & Rosegrant, M. & Molden, David, 2004. "Does international cereal trade save water?: the impact of virtual water trade on global water use," IWMI Research Reports H035342, International Water Management Institute.
    11. Seckler, D. & Molden, D. & Sakthivadivel, R., 2003. "The concept of efficiency in water resources management and policy," IWMI Books, Reports H032634, International Water Management Institute.
    12. Immerzeel, W.W. & Gaur, A. & Zwart, S.J., 2008. "Integrating remote sensing and a process-based hydrological model to evaluate water use and productivity in a south Indian catchment," Agricultural Water Management, Elsevier, vol. 95(1), pages 11-24, January.
    13. Perry, C. J., 1999. "The IWMI water resources paradigm - definitions and implications," Agricultural Water Management, Elsevier, vol. 40(1), pages 45-50, March.
    14. Molden, David J. & Sakthivadivel, Ramasamy & Habib, Zaigham, 2001. "Basin-level use and productivity of water: examples from South Asia," IWMI Research Reports 61099, International Water Management Institute.
    15. Li, Hongjun & Zheng, Li & Lei, Yuping & Li, Chunqiang & Liu, Zhijun & Zhang, Shengwei, 2008. "Estimation of water consumption and crop water productivity of winter wheat in North China Plain using remote sensing technology," Agricultural Water Management, Elsevier, vol. 95(11), pages 1271-1278, November.
    16. Bastiaanssen, W. G. M. & Ahmad, Mobin-ud-Din & Tahir, Z., 2003. "Upscaling water productivity in irrigated agriculture using remote-sensing and GIS technologies," Book Chapters,, International Water Management Institute.
    17. Molden, David J., 1997. "Accounting for water use and productivity," IWMI Books, International Water Management Institute, number 113623.
    18. Bastiaanssen, W. G. M. & Chandrapala, L., 2003. "Water balance variability across Sri Lanka for assessing agricultural and environmental water use," Agricultural Water Management, Elsevier, vol. 58(2), pages 171-192, February.
    19. Lam, Q.D. & Schmalz, B. & Fohrer, N., 2010. "Modelling point and diffuse source pollution of nitrate in a rural lowland catchment using the SWAT model," Agricultural Water Management, Elsevier, vol. 97(2), pages 317-325, February.
    20. Zwart, Sander J. & Bastiaanssen, Wim G.M., 2007. "SEBAL for detecting spatial variation of water productivity and scope for improvement in eight irrigated wheat systems," Agricultural Water Management, Elsevier, vol. 89(3), pages 287-296, May.
    21. Bouman, B. A.M., 2007. "A conceptual framework for the improvement of crop water productivity at different spatial scales," Agricultural Systems, Elsevier, vol. 93(1-3), pages 43-60, March.
    22. Zwart, Sander J. & Bastiaanssen, Wim G. M., 2004. "Review of measured crop water productivity values for irrigated wheat, rice, cotton and maize," Agricultural Water Management, Elsevier, vol. 69(2), pages 115-133, September.
    23. de Fraiture, Charlotte & Cai, Ximing & Amarasinghe, Upali A. & Rosegrant, Mark W. & Molden, David J., 2004. "Does international cereal trade save water? The impact of virtual water trade on global water use," IWMI Research Reports 92832, International Water Management Institute.
    24. Molden, David, 2007. "Water for food, water for life: a comprehensive assessment of water management in agriculture," IWMI Books, Reports H040193, International Water Management Institute.
    25. Kijne, J. W. & Barker, R. & Molden. D., 2003. "Water productivity in agriculture: limits and opportunities for improvement," IWMI Books, Reports H032631, International Water Management Institute.
    26. Bluemling, Bettina & Yang, Hong & Pahl-Wostl, Claudia, 2007. "Making water productivity operational--A concept of agricultural water productivity exemplified at a wheat-maize cropping pattern in the North China plain," Agricultural Water Management, Elsevier, vol. 91(1-3), pages 11-23, July.
    27. Bastiaanssen, W. & Ahmad, Mobin-ud -Din & Tahir, Z., 2003. "Upscaling water productivity in irrigated agriculture using remote-sensing and GIS technologies," IWMI Books, Reports H032648, International Water Management Institute.
    28. Liu, Junguo & Williams, Jimmy R. & Zehnder, Alexander J.B. & Yang, Hong, 2007. "GEPIC - modelling wheat yield and crop water productivity with high resolution on a global scale," Agricultural Systems, Elsevier, vol. 94(2), pages 478-493, May.
    29. Huang, Feng & Li, Baoguo, 2010. "Assessing grain crop water productivity of China using a hydro-model-coupled-statistics approach. Part II: Application in breadbasket basins of China," Agricultural Water Management, Elsevier, vol. 97(9), pages 1259-1268, September.
    30. Yang, Hong & Zehnder, Alexander J. B., 2002. "Water Scarcity and Food Import: A Case Study for Southern Mediterranean Countries," World Development, Elsevier, vol. 30(8), pages 1413-1430, August.
    31. Kijne, Jacob W. & Barker, Randolph & Molden, David J. (ed.), 2003. "Water productivity in agriculture: limits and opportunities for improvement," IWMI Books, International Water Management Institute, number 138054.
    32. Wichelns, Dennis, 2001. "The role of `virtual water' in efforts to achieve food security and other national goals, with an example from Egypt," Agricultural Water Management, Elsevier, vol. 49(2), pages 131-151, July.
    33. Molden, David, 2007. "Water for food, water for life: a comprehensive assessment of water management in agriculture: summary," IWMI Books, Reports H039769, International Water Management Institute.
    34. Chemin, Yann & Platonov, Alexander & Ul-Hassan, Mehmood & Abdullaev, Iskandar, 2004. "Using remote sensing data for water depletion assessment at administrative and irrigation-system levels: case study of the Ferghana Province of Uzbekistan," Agricultural Water Management, Elsevier, vol. 64(3), pages 183-196, February.
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