Korean Journal of Environmental Agriculture (한국환경농학회지)

The Korean Society of Environmental Agriculture (한국환경농학회)
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Assessment & Estimation of Water Footprint on Soybean and Chinese Cabbage by APEX Model

APEX 모형을 이용한 밭작물(콩, 배추) 물발자국 영향 평가

  • Hur, Seung-Oh (Climate Change & Agroecology Division, Department of Agricultural Environment, National Academy of Agricultural Sciences, Rural Development Administration) ;
  • Choi, Soonkun (Climate Change & Agroecology Division, Department of Agricultural Environment, National Academy of Agricultural Sciences, Rural Development Administration) ;
  • Hong, Seong-Chang (Climate Change & Agroecology Division, Department of Agricultural Environment, National Academy of Agricultural Sciences, Rural Development Administration)
  • 허승오 (농촌진흥청 국립농업과학원 농업환경부 기후변화생태과) ;
  • 최순군 (농촌진흥청 국립농업과학원 농업환경부 기후변화생태과) ;
  • 홍성창 (농촌진흥청 국립농업과학원 농업환경부 기후변화생태과)
  • Received : 2019.07.31
  • Accepted : 2019.09.03
  • Published : 2019.09.30
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Abstract

BACKGROUND: The water footprint (WF) is an indicator of freshwater use that appears not only at direct water use of a consumer or producer, but also at the indirect water use. As an indicator of 'water use', the water footprint includes the green, blue, and grey WF, and differs from the classical measure of 'water withdrawal' because of green and grey WF. This study was conducted to assess and estimate the water footprint of the soybean and Chinese cabbage. METHODS AND RESULTS: APEX model with weather data, soil and water quality data from NAS (National Institute of Agricultural Sciences), and farming data from RDA (Rural Development Administration) was operated for analyzing the WF of the crops. As the result of comparing the yield estimated from APEX with the yield extracted from statistic data of each county, the coefficients of determination were 0.83 for soybean and 0.97 for Chinese cabbage and p-value was statistically significant. The WFs of the soybean and Chinese cabbage at production procedure were 1,985 L/Kg and 58 L/Kg, respectively. This difference may have originated from the cultivation duration. The WF ratios of soybean were 91.1% for green WF and 8.9% for grey WF, but the WF ratios of Chinese cabbage were 41.5% for green WF and 58.5% for grey WF. CONCLUSION: These results mean that the efficiency of water use for soybean is better than that for Chinese cabbage. The results could also be useful as an information to assess environmental impact of water use and agricultural farming on soybean and Chinese cabbage.

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References

  1. Aldaya, M. M., & Hoekstra, A. Y. (2010). The water needed for Italians to eat pasta and pizza. Agricultural Systems, 103, 351-360. https://doi.org/10.1016/j.agsy.2010.03.004
  2. Choi, S. K., Jeong, J. H., & Kim, M. K. (2017, a). Simulating the effects of agricultural management on water quality dynamics in rice paddies for sustainable rice production - model development and validation. Water, 9(11), 869. https://doi.org/10.3390/w9110869
  3. Choi, S. K., Kim, M. K., Jeong, J. H., Choi, D. H., & Hur, S. O. (2017, b). Estimation of crop yield and evapotranspiration in paddy rice with climate change using APEX-paddy model. Journal of the Korean Society of Agricultural Engineering, 59(4), 27-42.
  4. Ercin, A. E., Aldaya, M. M., & Hoekstra, A. Y. (2012). The water footprint of soy milk and soy burger and equivalent animal products. Ecological Indicators, 18, 392-402. https://doi.org/10.1016/j.ecolind.2011.12.009
  5. Gassman, P. W., Williams, J. R., Wang, X., Saleh, A., Osei E., Hauck, L. M., Izaurralde C., & Flowers, J. D. (2009). The agricultural policy environmental extender (APEX) model: An emerging tool for landscape and watershed environmental analyses. Iowa State University, Ames, Iowa, 50011-1070.
  6. Hargreaves, G. H., & Samani, Z. A. (1985). Reference crop evapotranspiration from temperature. American Society of Agricultural Engineers, 1(2), 96-99.
  7. Hoekstra, A. Y., Chapagain, A. K., Aldaya, M. M., & Mekonnen, M. M. (2011). The Water Footprint Assessment Manual: Setting the Global Standard. pp. 2-45, Earthscan Ltd., United Kingdom.
  8. Huang, J., Zhang, H. L., Tong, W. J., & Chen, Fu. (2012). The impact of local crops consumption on the water resources in Beijing. Journal of Cleaner Production, 21, 45-50. https://doi.org/10.1016/j.jclepro.2011.09.014
  9. Kim, J. B., Kang, H., & Shin, S. M. (2013). A study about regional water footprint of rice production in agriculture industry. Journal of Korean Society of Environmental Engineers, 35(11), 827-834. https://doi.org/10.4491/KSEE.2013.35.11.827
  10. Mekonnen, M. M., & Hoekstra, A. Y. (2014). Water footprint benchmarks for crop production: A first global assessment. Ecological Indicators, 46, 214-223. https://doi.org/10.1016/j.ecolind.2014.06.013
  11. Monteith, J. L. (1965). Evaporation and environment. Symposia of the Society for Experimental Biology, 19, 205-234.
  12. Oh, B. Y., Lee, S. H., & Choi, J. Y. (2017). Analysis of paddy rice water footprint under climate change using AquaCrop. Journal of the Korean Society of Agricultural Engineers, 59(1), 45-55. https://doi.org/10.5389/KSAE.2017.59.1.045
  13. Rees, W. E. (1996). 'Revisiting carrying capacity: Areabased indicators of sustainability'. Population and Environment, 17(3), 195-215. https://doi.org/10.1007/BF02208489
  14. Son, M. J., Kim, I., & Cha, K. H. (2013). Water footprint assessment on major agricultural products - A case of water footprint assessment on cabbages. The Korean Society of Life Cycle Assessment, 14(2), 98-109.
  15. Stockle, C. O., Williams, J. R., Rosenberg, N. J., & Jones, C. A. (1992). A method for estimating the direct and climatic effects of rising atmospheric carbon dioxide on growth and yield of crops: Part I-Modification of the EPIC model for climate change analysis. Agricultural Systems, 38(3), 225-238. https://doi.org/10.1016/0308-521X(92)90067-X
  16. Vanham, D., Mekonnen, M. M., & Hoekstra, A. Y. (2013). The water footprint of the EU for different diets. Ecological Indicators, 32, 1-8. https://doi.org/10.1016/j.ecolind.2013.02.020
  17. Wang, F., Wang, S., Li, Z., You H., Aviso, K. B., Tan, R. R., & Jia, X. (2019). Water footprint sustainability assessment for the chemical sector at the regional level. Resources, Conservation & Recycling, 142, 69-77. https://doi.org/10.1016/j.resconrec.2018.11.009
  18. Williams, J. R., Izaurralde, R. C., & Steglich, E. M. (2015). Agricultural policy/environmental extender model theoretical documentation version 0806. Texas A&M Blackland Research Center Temple, 28-61.
  19. Yoo, S. H., Choi, J. Y., Lee, S. H., & Kim, T. G. (2014, a). Estimating water footprint of paddy rice in Korea. Paddy and Water Environment, 12(1), 43-54. https://doi.org/10.1007/s10333-013-0358-2
  20. Yoo, S. H., Lee, S. H., & Choi, J. Y. (2014, b). Estimation of water footprint for upland crop production in Korea. Journal of the Korean Society of Agricultural Engineers, 56(3), 65-74. https://doi.org/10.5389/KSAE.2014.56.3.065