Uruya Weesakul 1, Narongrit Luangdilok2, and Suraparb Keawsawasvong1

1Department of Civil Engineering, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, PathumThani 12120, Thailand
2Hydro-Informatics Institute, Bangkok 10990, Thailand


 

Received: April 19, 2022
Accepted: November 3, 2022
Publication Date: November 24, 2022

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.6180/jase.202309_26(9).0008  


ABSTRACT


This study aims to explore relationships between drought indicator values and real drought situations as ground truth information in order that such drought indicators can be used appropriately for drought warnings as well as for mitigation measures. Ping river basin, situated in the northern region of Thailand was selected as a case study due to its frequent drought phenomena. Amongst various drought indicators, Standardized Precipitation Index (SPI) and Decile (DR) were selected as drought indicators due to their simplicity in calculation and availability of data. Five rainfall stations, distributed over the Ping river basin, with monthly rainfall data from 1975 to 2018 were selected for the study. SPI and DR were computed into 3 types which are annual SPI and DR, monsoon SPI and DR (SPI6, DR6) using accumulated rainfall from April to September, and pre-monsoon SPI and DR (SPI3 and DR3), using accumulated rainfall from January to March. Investigation of computed drought indicators and drought ground truth information revealed that annual SPI, as well as monsoon DR, agreed well with drought ground truth when criteria of drought were shifted to be above normal standard criteria. In the other words, using standard drought classification of SPI and DR provided agreement with ground truth of around 68%, while using calibrated criteria agreement with ground truth increased by 78%, for both drought indicators. It is therefore recommended to understand the physical meaning of digital values of drought indicators before using them for drought mitigation measures.


Keywords: Drought Indicators, Standardized Precipitation Index, Decile Method, Ping river Basin, Thailand.


REFERENCES


  1. [1] B. Lloyd-Hughes, (2014) “The impracticality of a universal drought definition" Theoretical and Applied Climatology 117(3): 607–611.
  2. [2] Z. Hao and V. P. Singh, (2015) “Drought characterization from a multivariate perspective: A review" Journal of Hydrology 527: 668–678.
  3. [3] M. Hayes, M. Svoboda, N. Wall, and M. Widhalm, (2011) “The Lincoln declaration on drought indices: universal meteorological drought index recommended" Bulletin of the American Meteorological Society 92(4): 485–488.
  4. [4] Copernicus European Drought Observatory (EDO). Edo Indicator Factsheet: Standardized Precipitation Index (Spi). https://edo.jrc.ec.europa.eu/documents/factsheets/factsheet_spi.pdf. Accessed: 2022-08-25.
  5. [5] Indiana Department of Natural Resources. Explanation of Standard Precipitation Index (Spi). https://www.in.gov/dnr/water/water-availability-use-rights/water-resource-updates/monthly-water-resourcesummary/explanation-of standard-precipitationindex-spi/. Accessed: 2022-08-25.
  6. [6] S. M. Vicente-Serrano and J. I. López-Moreno, (2005) “Hydrological response to different time scales of climatological drought: an evaluation of the Standardized Precipitation Index in a mountainous Mediterranean basin" Hydrology and earth system sciences 9(5): 523–533.
  7. [7] D. McEvoy, J. Huntington, J. Abatzoglou, and L. Edwards, (2012) “An evaluation of multiscalar drought indices in Nevada and Eastern California" Earth Interactions 16(18): 1–18. DOI: 10.1175/2012EI000447.1.
  8. [8] K. Haslinger, D. Koffler, W. Schöner, and G. Laaha, (2014) “Exploring the link between meteorological drought and streamflow: Effects of climate-catchment interaction" Water Resources Research 50(3): 2468–2487. DOI: 10.1002/2013WR015051.
  9. [9] R. Kumar, J. Musuuza, A. Van Loon, A. Teuling, R. Barthel, J. Ten Broek, J. Mai, L. Samaniego, and S. Attinger, (2016) “Multiscale evaluation of the Standardized Precipitation Index as a groundwater drought indicator" Hydrology and Earth System Sciences 20(3): 1117–1131. DOI: 10.5194/hess-20-1117-2016.
  10. [10] S. Quiring and S. Ganesh, (2010) “Evaluating the utility of the Vegetation Condition Index (VCI) for monitoring meteorological drought in Texas" Agricultural and Forest Meteorology 150(3): 330–339. DOI: 10.1016/j.agrformet.2009.11.015.
  11. [11] S. Vicente-Serrano, S. Beguería, J. Lorenzo-Lacruz, J. Camarero, J. López-Moreno, C. Azorin-Molina, J.Revuelto, E. Morán-Tejeda, and A. Sanchez-Lorenzo, (2012) “Performance of drought indices for ecological, agricultural, and hydrological applications" Earth Interactions 16(10): 1–27. DOI: 10.1175/2012EI000434.1.
  12. [12] J. Stagge, I. Kohn, L. Tallaksen, and K. Stahl, (2015) “Modeling drought impact occurrence based on meteorological drought indices in Europe" Journal of Hydrology 530: 37–50. DOI: 10.1016/j.jhydrol.2015.09.039.
  13. [13] S. Bachmair, I. Kohn, and K. Stahl, (2015) “Exploring the link between drought indicators and impacts" Natural Hazards and Earth System Sciences 15(6): 1381–1397. DOI: 10.5194/nhess-15-1381-2015.
  14. [14] P.Wichitarapongsakun, C. Sarin, P. Klomjek, and S. Chuenchooklin, (2016) “Rainfall prediction and meteorological drought analysis in the Sakae Krang River basin of Thailand" Agriculture and Natural Resources 50(6): 490–498. DOI: 10.1016/j.anres.2016.05.003.
  15. [15] A. Khalil, (2020) “Drought characterization in the Mae Klong River Basin, Thailand, using Standardized Precipitation Index" Arabian Journal of Geosciences 13(14): DOI: 10.1007/s12517-020-05546-w.
  16. [16] M. F. U. Moazzam, B. G. Lee, G. Rahman, T.Waqas, et al., (2020) “Spatial Rainfall Variability and an Increasing Threat of Drought, According to Climate Change in Uttaradit Province, Thailand" Atmospheric and Climate Sciences 10(03): 357. DOI: 10.4236/acs.2020.103020.
  17. [17] D. D. Demmsie et al., (2021) “ANALYSIS OF METEOROLOGICAL DATA AND DROUGHT IN THE LOWER NORTHERN PART OF THAILAND" INFORMATION TECHNOLOGY IN INDUSTRY 9(2): 467–476. DOI: 10.17762/itii.v9i2.371.
  18. [18] S. Kornkosa, N. Phumkokrux, P. Pattanasak, and S. Manajitprasert, (2021) “Analysis and prediction of meteorological drought area by using standardized precipitation index in northeast, Thailand" International Journal of Environmental Science and Development 12(12): 372–376. DOI: 10.18178/IJESD.2021.12.12.1363.
  19. [19] World Meteorological Organization. Standardized Precipitation Index User Guide, WMO-No.1090.
  20. [20] I. Bordi and A. Sutera. “Drought monitoring and forecasting at large scale”. In: Methods and tools for drought analysis and management. Springer, 2007, 3–27.
  21. [21] T. B. McKee, N. J. Doesken, J. Kleist, et al. “The relationship of drought frequency and duration to time scales”. In: Proceedings of the 8th Conference on Applied Climatology. 17. 22. Boston, MA, USA. 1993, 179–183.
  22. [22] N. Guttman, (1999) “Accepting the standardized precipitation index: A calculation algorithm" Journal of the AmericanWater Resources Association 35(2): 311–322. DOI: 10.1111/j.1752-1688.1999.tb03592.x.
  23. [23] C. Cacciamani, A. Morgillo, S. Marchesi, and V. Pavan. “Monitoring and forecasting drought on a regional scale: Emilia-Romagna region”. In: Methods and tools for drought analysis and management. Springer, 2007, 29–48.
  24. [24] H. C. Thom, (1958) “A note on the gamma distribution" Monthly weather review 86(4): 117–122. DOI: 10.1175/1520-0493(1958)086<0117:ANOTGD>2.0.CO;2.
  25. [25] D. C. Edwards. Characteristics of 20th Century drought in the United States at multiple time scales. Tech. rep. Air Force Inst of TechWright-Patterson Afb Oh, 1997.
  26. [26] M. Abramowitz and I. A. Stegun. Handbook of mathematical functions with formulas, graphs, and mathematical tables. 55. US Government printing office, 1964. DOI: 10.2307/2282672.
  27. [27] W. J. Gibbs and J. V. Maher. Rainfall deciles as drought indicators, Australian Bureau of Meteorology Bulletin, No. 48, Commonwealth of Australia. Melbourne.
  28. [28] D. H. White and B. O’Meagher, (1995) “Coping with exceptional droughts in Australia" Drought Network News (1994-2001): 91.
  29. [29] N. Guttman, (1994) “On the sensitivity of sample L moments to sample size" Journal of Climate 7(6): 1026–1029. DOI: 10 . 1175 / 1520 - 0442(1994 ) 007<1026 :OTSOSL>2.0.CO;2.


    
 

0.9
2021CiteScore
 
 
42nd percentile
Powered by  Scopus

SCImago Journal & Country Rank

Enter your name and email below to receive latest published articles in Journal of Applied Science and Engineering.