Drought Analysis in the Eastern Economic Corridor by using the Standardized Precipitation Index (SPI)
Article Sidebar
Main Article Content
Abstract
This research aimed to analyze the severity level of drought by using the Standardized Precipitation Index (SPI)
in the Eastern Economic Corridor (EEC). The six meteorological stations, Bangkok Metropolis, Chanthaburi, Chonburi/Sattahip, Koh Sichang, Pattaya, and Khao Ito, over 30 years data from 1988 to 2017, were used in this research.
The three patterns of moving cumulative rainfall of 3, 6, and 12 months were used to estimate the indices of SPI3, SPI6, and SPI12, respectively. As a result, the averaged values of 3 patterns of SPI ranged from 0.035 to 0.180, which was interpreted as a level of near normal. The maximum and minimum values of the SPI could experience drought conditions in both severe to extreme drought and wet. However, the results demonstrated that more than 62 % of the SPI ranged near normal. The value of SPIs approximated moderate to extreme droughts below 17 %. The results of this research could be a part of the information to support water management in the study area to develop a suitable plan to mitigate the effect of drought in the future.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Adisa O. M., Masinde M. and Botai J. O. (2021). Assessment of the Dissimilarities of EDI and SPI Measures for Drought Determination in South Africa. Water 2021 13(82), 1-17. DOI: 10.3390/w13010082
Chaito, T. and Khamkong, M. (2020). Time Series Model for Standardized Precipitation Index in the Ping River Basin of Chiang Mai Province. The Journal of KMUTNB 2020, 1-14. DOI: 10.14416/j.kmutnb.2020.12.012
Damberg L.and AghaKouchak A. (2014). Global trends and patterns of drought from space. Theoretical and applied climatology 2014; 117(3-4), 441-448.
Homdee, T., Pongbut, K. and Kanae, S. (2016). A Comparative performance analysis of three standardized climatic drought indices in the Chi River basin, Thailand. Agriculture and Natural Resources 50, 211-219. DOI: 10.1016/j.anres.2016.02.002
Huang Y. F., Ang J. T., Tionga Y. J., Mirzaei M. and Mat M. Z. (2016). Drought Forecasting using SPI and EDI under RCP-8.5 Climate Change Scenarios for Langat River Basin, Malaysia. Procedia Engineering, 154, 710-717.
Hydro-Informatics Institute. (2012). Data collection and data analysis for the 25 rivers basin and model for flood and drought in the Ping river basin (in Thai). Available Source: http://www.thaiwater.net/web/
Kaingam, V. and Chotamonsak, C. (2019). Analysis of Drought in Northern Thailand Using Standardized Precipitation Index. J Sci Technol MSU 39(3), 313-322.
Madusanka T. and Venkataramana S. (2017). Characterization of future drought conditions in the Lower Mekong River Basin. Weather and Climate Extremes 17, 47-58. DOI: 10.1016/j.wace.2017.07.004
Mckee T. B., Doesken N. J. and Kleist J. (1993). The Relationship of Drought frequency and duration to time scales. Eighth Conference on Applie Climatology, American Meteorological Society, Jan 17-23, Anaheim CA, 179-186.
Pei Z., Fang S., Wang L. and Yang W. (2020). Comparative Analysis of Drought Indicated by the SPI and SPEI at Various Timescales in Inner Mongolia, China. Water 2020 12(1925), 1-20. DOI: 10.3390/w12071925
Pinthong, A. and Kwanyuen, B. (2016). Drought Monitoring by Composite Drought Index. Rajamangala University of Technology Thanyaburi 15(2), 45-53. DOI: 304080-1-10-20180403
Sriwongsitanon, N. (2015). Drought Monitoring and Early Warning for Thailand. Department of Water Resources Engineering, Kasetsart University, 17-27.
Taesombat, W. (2012). Engineering Hydrology. Department of Irrigation Engineering, Kasetsart University Kamphaeng saen campus, 96-100.
Thai Meteorological Department. (2016). Climate Change. Available Source: https://www.tmd.go.th/info/info.php?FileID=86/
Thai Meteorological Department. (2012). Study on Drought Index in Thailand 2012, Agro - meteorological Division, Meteorological Development Bureau, 33-60.
Thanapakpawin P., Boonya-aroonnet S., Chankarn A., Chitradon R. and Snidvongs A. (2011). Chapter 7 Thailand drought risk management: macro and micro strategies. Droughts in Asian Monsoon Region (Community, Environment and Disaster Risk Management, Volume 8) Emerald Group Publishing Limited 2011; 8, 121-140.
The Eastern Economic Corridor Office of Thailand. (2018). Combined diagram for the development of the Eastern Economic Corridor 2017 - 2022. The Eastern Economic Corridor Office of Thailand (EECO), 71-80.
Wichitarapongsakun, P. (2015). Drought Analysis in the Rain-fed Agriculture Area Using the Standardized Precipitation Index (SPI) in the HuaiKoKaeo sub-basin of the Pasak River Basin. 12th THAICID National Symposium, 150-163.
Wichitarapongsakun, P., Sarin, C., Klomjek, P. and Chuenchooklin, S. (2016). Meteorological drought in the Sakea Krang River basin using the Standardized Precipitation Index (SPI) and the Meteorological Drought Index (D). Naresuan University Journal: Science and Technology 2016 ; 24(3), 123-135. DOI: 1549--4903-1-10-20161011_2
Wichitarapongsakun, P., Sarin, C., Klomjek, P. and Chuenchooklin, S. (2017). Rainfall prediction and meteorological drought analysis in the Sakae Krang River basin of Thailand. Agriculture and Natural Resources 50, 490-498. DOI: 10.1016/ j.anres.2016.05.003
Wilhite D. A. and Glantz M. H. (1985). Understanding: the drought phenomenon: the role of definitions. Water international 1985l ; 10(3), 111-120.