DOI QR코드

DOI QR Code

Assessment of Agricultural Drought Using Satellite-based TRMM/GPM Precipitation Images: At the Province of Chungcheongbuk-do

인공위성 기반 TRMM/GPM 강우 이미지를 이용한 농업 가뭄 평가: 충청북도 지역을 중심으로

  • Lee, Taehwa (School of Agricultural Civil & Bio-Industrial Engineering, Kyungpook National University) ;
  • Kim, Sangwoo (School of Agricultural Civil & Bio-Industrial Engineering, Kyungpook National University) ;
  • Jung, Younghun (Department of Construction & Disaster Prevention Engineering, Kyungpook National University) ;
  • Shin, Yongchul (School of Agricultural Civil & Bio-Industrial Engineering, Kyungpook National University)
  • Received : 2018.05.28
  • Accepted : 2018.06.18
  • Published : 2018.07.31

Abstract

In this study, we assessed meteorological and agricultural drought based on the SPI(Standardized Precipitation Index), SMP(Soil Moisture Percentile), and SMDI(Soil Moisture Deficit Index) indices using satellite-based TRMM(Tropical Rainfall Measuring Mission)/GPM(Global Precipitation Measurement) images at the province of Chungcheongbuk-do. The long-term(2000-2015) TRMM/GPM precipitation data were used to estimate the SPI values. Then, we estimated the spatially-/temporally-distributed soil moisture values based on the near-surface soil moisture data assimilation scheme using the TRMM/GPM and MODIS(MODerate resolution Imaging Spectroradiometer) images. Overall, the SPI value was significantly affected by the precipitation at the study region, while both the precipitation and land surface condition have influences on the SMP and SMDI values. But the SMP index showed the relatively extreme wet/dry conditions compared to SPI and SMDI, because SMP only calculates the percentage of current wetness condition without considering the impacts of past wetness condition. Considering that different drought indices have their own advantages and disadvantages, the SMDI index could be useful for evaluating agricultural drought and establishing efficient water management plans.

Keywords

References

  1. Entekhabi D., E. G. Njoku, P. E. O'Neill, K. H. Kellogg, W. T. Crow, W. N. Edelstein, J. K. Entin, S. D. Goodman, T. J. Jackson, J. Johnson, J. Kimball, J. R. Piepmeier, R. D. Koster, N. Martin, K. C. McDonald, M. Moghaddam, S. Moran, R. Reichle, J. C. Shi, M. W. Spencer, S. W. Thurman, L. Tsang, and J. Van Zyl, 2010. The Soil moisture active passive (SMAP) mission. Proceedings of the IEEE 98(5): 704-716. doi:10.1109/JPROC.2010.2043918.
  2. Goldberg, D. E., 1989. Genetic algorithms in search and optimization and machine learning, Addison-Wesley Publishing, New York.
  3. Holland, J. H., 1975. Adaptation in natural and artificial system. University of Michigan press, Ann Arbor, MI.
  4. Horion, S., H. Carrao, A. Singleton, P. Barbosa, and J. Vogt, 2012. JRC experience on the development of drought information systems: Europe, Africa, and Latin America. Publications Office of the European Union, Rep. JRC68769, 70 pp. [Available online at http://publications.jrc.ec.europa.eu/repository/handle/111111111/23582] doi:10.2788/15761.
  5. Hou, A. Y., R. K. Kakar, S. Neeck, A. A. Azarbarzin, C. D. Kummerow, M. Kojima, R. Oki, K. Nakamura, and T. Iguchi, 2013. The Global Precipitation Measurement (GPM) mission. Bulletin of the American Meteorological Society 95(5): 701-722. doi:10.1175/BAMS-D-13-00164.1, in press.
  6. Hunt, E. D., K. G. Hubbard, D. A. Wilhite, T. J. Arkebauer, and A. L. Dutcher, 2009. The Development and evaluation of a soil moisture index. International Journal of Climatology 29(5): 747-759. doi:10.1002/joc.1749.
  7. Hwang, T. H., B. S. Choi, H. S. Kim, and B. H. Seoh, 2006. The Estimation of soil moisture index by SWAT model and drought monitoring. Journal of the Korean Society of Civil Engineers B 26(4B): 345-354 (in Korean).
  8. Kerr Y. H., P. Waldteufel, J. P. Wigneron, J. A. M. J. Martinuzzi, J. Font, and M. Berger, 2001. Soil moisture retrieval from space: The Soil Moisture and Ocean Salinity (SMOS) mission. IEEE transactions on Geoscience and remote sensing 39(8): 1729-1735. doi:10.1109/36.942551.
  9. Kim S. Y., H. B. Jo, S. O. Lee, and M. Choi, 2010. The Study of application of drought index using measured soil moisture at KoFlux Tower. Journal of the Korean Society of Civil Engineers B 30(6B): 541-549.
  10. Kroes, J. G., J. C. van Dam, J. Huygen, and R. W. Vervoort, 1999. User's guide of SWAP version 2.0; Simulation of water, solute transport, and plant growth in the soil-atmosphere-plant environment. Rep. 81, DLO Winand Staring Centre, Wageningen, The Netherlands.
  11. Lee, T., and Y. Shin, 2016. Estimation of irrigation water amounts for farm products based on various soil physical properties and crops. Journal of Korean Society on Water Environment 58(6): 1-8, doi:10.5389/KSAE.2016.58.6.001.
  12. McKee, T. B., N. J. Doesken, and J. Kleist, 1993. The Relationship of drought frequency and duration to time scales. In Proceedings of the 8th Conference on Applied Climatology, American Meteorological Society, Anaheim, CA, Boston, MA, 17-22, January, 179-184. doi:10.1.1.462.4342. https://doi.org/10.1.1.462.4342
  13. Korea Meteorological Administration (KMA), 2015. Abnormal climate change report 2015, Korea Meteorological Administration [Korean Literature].
  14. Ministry of Land, Infrastructure and Transport (MOLIT), 2012. Hydrologic investigation report II-2. Soil moisture investigation in 2012, Ministry of Land, Infrastructure and Transport [Korean Literature].
  15. Ministry of Land, Infrastructure and Transport (MOLIT), 2014. Hydrologic investigation report II-2. Soil moisture investigation in 2014, Ministry of Land, Infrastructure and Transport [Korean Literature].
  16. Mualem, Y., 1976. A Now model for predicting the hydraulic conductivity of unsaturated poous media. Water Resources Research 12(3): 513-522. https://doi.org/10.1029/WR012i003p00513
  17. Narasimhan, B., and R. Srinivasan, 2005. Development and Evaluationof Soil Moisture Deficit Index (SMDI) and Evapotranspiration Deficit Index (ETDI) for Agricultural Drought Monitoring. Agricultural and Forest Meteorology 133(1-4): 69-88. doi:10.1016/j.agrformet.2005.07.012.
  18. Palmer W. C., 1968. Keeping track of crop moisture conditions nationwide: the new crop moisture index. Weather-wise 21(4): 156-161. https://doi.org/10.1080/00431672.1968.9932814
  19. Park, E. J., C. S. Hwang, and J. C. Seong, 2002. The Analysis of drought susceptibility using soil moisture information and spatial factors involved in satellite imagery. Spatial Information Research 10(3): 481-492 (in Korean).
  20. Scott, C. A., W. G. M. Bastiaanssen, and M. D. Ahmad, 2003. Mapping root zone soil moisture using remotely sensed optical imagery. Journal of Irrigation and Drainage Engineering 129(5): 362-335. doi:10.1061/(ASCE)0733-9437(2003)129:5(326).
  21. Shin, Y., K. S. Choi, Y. Jung, J. E. Yang, and K. J. Lim, 2016a. Soil moisture estimation and drought assessment at the spatiotemporal scales using remotely sensed data: (I) Soil moisture. Journal of Korean Society on Water Environment 32(1): 60-69. doi:10.15681/KSWE.2016.32.1.60.
  22. Shin, Y., K. S. Choi, Y. Jung, J. E. Yang, and K. J. Lim, 2016b. Soil moisture estimation and drought assessment at the spatiotemporal scales using remotely sensed data: (II) Drought. Journal of Korean Society on Water Environment 32(1): 70-79. doi:10.15681/KSWE.2016.32.1.70.
  23. Simpson, J., C. Kummerow, W. K. Tao, and R. F. Adler,1996. On the tropical rainfall measuring mission (TRMM).Meteorology and Atmospheric physics 60(1): 19-36. doi:10.1007/BF01029783.
  24. van Dam, J. C., J. Huygen, J. G. Wesseling, R. A. Feddes, P. Kabat, P. E. V. van Walsum, P. Groenendijk, and C. A. van Diepen, 1997. Theory of SWAP version 2.0. Simulation of water flow, solute transport and plant growth in the Soil-Water-Atmosphere-Plant environment. Wageningen University and Alterra. Technical Document 45.
  25. van Dam, J. C., 2000. Field-scale water flow and solute transport. SWAP model concepts, parameter estimation and case studies. Ph.D. dissertation, Wageningen Univ., Wageningen, The Netherlands.
  26. van Genuchten, M. T., 1980. A closed-form equation foe predicting the hydraulic conductivity of unsaturated soils. Soil Science Society of America Journal 44(5): 892-898. doi:10.2136/sssaj1980.03615995004400050002x.