Abstract
Climatological information, especially for complex and ambiguous natural phenomena such as drought hazards, is essential in early warning mitigation policy modules. There is a need for a standardized framework for incorporating climatological information. Here, we proposed a new framework—regional accumulated drought intensity pattern determinate (RADIPD)—to enhance the regional climatological information for drought monitoring. Our proposed framework RADIPD has two phases. In the first phase of the proposed framework, time series data of various meteorological stations located in the homogenous region is suggested to aggregate using an appropriate weighting scheme. In the second phase, the accumulated time series data is recommended to observe intensities of various drought episodes. Hence, the second phase of the RADIPD consists of propagating the regional accumulated drought concentration index (RADCI). The proposed framework is applied on six meteorological stations located in the northern region of Pakistan at a one-month scale (scale-1) using three commonly used drought indices such as Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI), and Standardized Precipitation Temperature Index (SPTI). It is observed that the RADIPD extracts spatiotemporal information about extreme events more comprehensively than commonly used regional classification and categorization drought indices. In summary, this study motivates researchers, policy-makers, and stakeholders to use the accurate and more representative temporal characterization of drought hazards in a specific region.
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References
Aba et al (2016) Depositional characteristics of 7 Be and 210 Pb in Kuwaiti dust. J Radioanal Nucl Chem 307(1):15–23. https://doi.org/10.1007/s10967-015-4129-y
Aba et al (2018) Atmospheric deposition fluxes of 137Cs associated with dust fallout in the northeastern Arabian Gulf. J Environ Radioact 192:565–572. https://doi.org/10.1016/j.jenvrad.2018.05.010
Ahmed M, Al-Dousari AM (2013) Geomorphological characteristics of the Um-Rimam depression in northern Kuwait. Kuwait Journal of Science 40(1):165–178
Al-Dousari et al (2019) Environmental and economic importance of native plants and green belts in controlling mobile sand and dust hazards. International. J Environ Sci Technol 16(5):2415–2426. https://doi.org/10.1007/s13762-018-1879-4
Al-Dousari, et al. (2008) Textural variations within different representative types of dune sediments in Kuwait. Arab J Geosci 1:17–31. https://doi.org/10.1007/s12517-008-0002-4
Al-Enezi et al (2014) Modeling adsorption of inorganic phosphorus on dust fallout in Kuwait bay. Journal of Engineering Research 2(2):1–14. https://doi.org/10.7603/s40632-014-0001-4
Al-Ghadban AN, Uddin S, Beg MU, Al-Dousari AM, Gevao B, Al-Yamani F (2008) Ecological consequences of river manipulations and drainage of Mesopotamian marshes on the Arabian Gulf ecosystem: investigations on changes in sedimentology and environmental quality, with special reference to Kuwait Bay. Kuwait Institute for Scientific Research (KISR) 9362:1–141
Ali Z, Hussain I, Faisal M, Nazir HM, el Moemen MA, Hussain T, Shamsuddin S (2017) A novel multi-scalar drought index for monitoring drought: the standardized precipitation temperature index. Water Resour Manag 31:4957–4969. https://doi.org/10.1007/s11269-017-1788-1
Ali Z, Hussain I, Faisal M, Shad MY, Elashkar EE, Gani S (2020) An ensemble procedure for pattern recognition of regional drought. Int J Climatol 40:94–114. https://doi.org/10.1002/joc.6196
Arsenault R, Brissette F (2014) Determining the optimal spatial distribution of weather station networks for hydrological modeling purposes using RCM datasets: an experimental approach. J Hydrometeorol 15:517–526. https://doi.org/10.1175/JHM-D-13-088.1
Baez JC, Fong B, Pollard BS (2016) A compositional framework for Markov processes. J Math Phys 57:033301. https://doi.org/10.1063/1.4941578
Bashir F (2017) Hydrometeorological variability over Pakistan. In ProQuest Dissertations and Theses
Caloiero T, Buttafuoco G, Coscarelli R, Ferrari E (2015) Spatial and temporal characterization of climate at regional scale using homogeneous monthly precipitation and air temperature data: an application in Calabria (southern Italy). Hydrol Res 46:629–646. https://doi.org/10.2166/nh.2014.022
Chaudhry QUZ (2017) Climate change profile of Pakistan. In Asian Development Bank 23:3–12. https://doi.org/10.1177/103530461202300301
El-Wahab A et al (2018) Influences of physiographic factors, vegetation patterns and human impacts on aeolian landforms in arid environment. Arid Ecosyst 8(2):97–110. https://doi.org/10.1134/S2079096118020026
Espinosa LA, Portela MM, Rodrigues R (2019) Spatio-temporal variability of droughts over past 80 years in Madeira Island. Journal of Hydrology: Regional Studies 25:100623. https://doi.org/10.1016/j.ejrh.2019.100623
Evans JP, McCabe MF (2010) Regional climate simulation over Australia’s Murray-Darling basin: a multitemporal assessment. J Geophys ResAtmos 115. https://doi.org/10.1029/2010JD013816
Farahmand A, AghaKouchak A (2015) A generalized framework for deriving non-parametric standardized drought indicators. Adv Water Resour 76:140–145. https://doi.org/10.1016/j.advwatres.2014.11.012
Fowler HJ, Kilsby CG (2002) Precipitation and the North Atlantic Oscillation: a study of climatic variability in Northern England. Int J Climatol 22:843–866. https://doi.org/10.1002/joc.765
Gerdener H, Engels O, Kusche J (2019) A framework for deriving drought indicators from GRACE. Hydrol Earth Syst Sci Discuss. https://doi.org/10.5194/hess-2019-268
Gidey E, Dikinya O, Sebego R, Segosebe E, Zenebe A (2018) Using drought indices to model the statistical relationships between meteorological and agricultural drought in Raya and its environs Northern Ethiopia. Earth Systems and Environment 2:265–279. https://doi.org/10.1007/s41748-018-0055-9
Gutiérrez APA, Engle NL, De Nys E, Molejón C, Martins ES (2014) Drought preparedness in Brazil. Weather and Climate Extremes 3:95–106. https://doi.org/10.1016/j.wace.2013.12.001
Hagman G (1984) Summary for Policymakers. In: Prevention better than cure: report on human and natural disasters in the third world. Swedish Red Cross, Stockholm. https://doi.org/10.1017/CBO9781107415324.004
Hao Z, Aghakouchak A (2014) A non-parametric multivariate multi-index drought monitoring framework. J Hydrometeorol 15:89–101. https://doi.org/10.1175/JHM-D-12-0160.1
Homdee T, Pongput K, 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. https://doi.org/10.1016/j.anres.2016.02.002
Jain VK, Pandey RP, Jain MK, Byun HR (2015) Comparison of drought indices for appraisal of drought characteristics in the Ken River Basin. Weather and Climate Extremes 8:1–11. https://doi.org/10.1016/j.wace.2015.05.002
Jiao W, Tian C, Chang Q, Novick KA, Wang L (2019) A new multi-sensor integrated index for drought monitoring. Agric For Meteorol 268:74–85. https://doi.org/10.1016/j.agrformet.2019.01.008
Khan NY (1999) Assessment of sediment quality in Kuwait's territorial waters: phase 1, Kuwait Bay
Kim J, Jung H, Park Y-H (2016) Predicting potential distribution of Monochamus alternatus Hope responding to climate change in Korea. Korean Journal of Applied Entomology:501–511. https://doi.org/10.5656/ksae.2016.11.0.053
Kim H, Kim S, Shin H, Heo JH (2017) Appropriate model selection methods for nonstationary generalized extreme value models. J Hydrol 547:557–574. https://doi.org/10.1016/j.jhydrol.2017.02.005
Kuhn MR (2016) Maximum disorder model for dense steady-state flow of granular materials. Mech Mater 93:63–80. https://doi.org/10.1016/j.mechmat.2015.10.008
Li X, He B, Quan X, Liao Z, Bai X (2015) Use of the standardized precipitation evapotranspiration index (SPEI) to characterize the drying trend in southwest China from 1982–2012. Remote Sens 7(8):10917–10937
Liu C, White RW, Dumais S\ (2010) Understanding web browsing behaviors through Weibull analysis of dwell time. SIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. https://doi.org/10.1145/1835449.1835513
Mallya G, Tripathi S, Govindaraju RS (2015) Probabilistic drought classification using gamma mixture models. J Hydrol 526:116–126. https://doi.org/10.1016/j.jhydrol.2014.11.008
Mckee et al. (1993). The relationship of drought frequency and duration to time scales. In Proceedings of the 8th Conference on Applied Climatology (Vol. 17, No. 22, pp. 179-183). Water Resour Manag. Journal of Hydrometeorology. https://doi.org/10.1175/JHM-D-12-0160.1
Montazeri H, Blocken B, Derome D, Carmeliet J, Hensen JL (2015) CFD analysis of forced convective heat transfer coefficients at windward building facades: influence of building geometry. J Wind Eng Ind Aerodyn 146:102–116
Montazerolghaem M, Vervoort W, Minasny B, McBratney A (2016) Long-term variability of the leading seasonal modes of rainfall in south-eastern Australia. Weather and Climate Extremes 13:1–14. https://doi.org/10.1016/j.wace.2016.04.001
Naresh Kumar M, Murthy CS, Sesha Sai MVR, Roy PS (2009) On the use of Standardized Precipitation Index (SPI) for drought intensity assessment. Meteorological Applications: A journal of forecasting, practical applications, training techniques and modelling 16(3):381–389
Niaz R, Hussain IM, Ali Z, Faisal M, Shoukry AM, Elashkar EE, Gani S, Fares FA (2020) A novel spatially weighted accumulative procedure for regional drought monotoring. Tellus A: Dynamic Meteorology and Oceanography 2020(B):1–13. https://doi.org/10.1080/16000870.2020.1838194
Oliver JE (1980) Monthly precipitation distribution: a comparative index. Prof Geogr 32:300–309. https://doi.org/10.1111/j.0033-0124.1980.00300.x
Peña-Gallardo M, Vicente-Serrano SM, Camarero JJ, Gazol A, Sánchez-Salguero R, Domínguez-Castro F, El Kenawy A, Beguería-Portugés S, Gutiérrez E, de Luis M, Sangüesa-Barreda G, Novak K, Rozas V, Tíscar PA, Linares JC, del Castillo EM, Matamoros MR, García-González I, Silla F et al (2018) Drought sensitiveness on forest growth in peninsular Spain and the Balearic Islands. Forests. 9. https://doi.org/10.3390/f9090524
Salvador C, Nieto R, Linares C, Díaz J, Gimeno L (2020) Effects of droughts on health: diagnosis, repercussion, and adaptation in vulnerable regions under climate change Challenges for future research. In Science of the Total Environment 703:134912. https://doi.org/10.1016/j.scitotenv.2019.134912
Spedicato GA (2017) Discrete time Markov chains with R. R Journal 9. https://doi.org/10.32614/rj-2017-036
Spiess, A. N. (2014). Propagate: propagation of uncertainty. R package version 1.0-4.
Stewart WJ (2009) Probability, Markov chains, queues, and simulation: the mathematical basis of performance modeling. Princeton university press
Svoboda MD, Fuchs BA (2017) Handbook of drought indicators and indices. In Drought and water crises: integrating science, management, and policy, second edition. https://doi.org/10.1201/b22009
Thom HCS (1966) Some methods of climatological analysis (No. 551.5 T4)
Tsakiris G, Pangalou D, Vangelis H (2007) Regional drought assessment based on the Reconnaissance Drought Index (RDI). Water Resour Manag 21:821–833. https://doi.org/10.1007/s11269-006-9105-4
Vicente-Serrano SM, Beguería S, López-Moreno JI (2010) A multiscalar drought index sensitive to global warming: the standardized precipitation evapotranspiration index. J Clim 23(7):1696–1718
Werick WJ, Willeke GE, Guttman NB, Hosking JRM, Wallis JR (1994) National drought atlas developed. EOS Trans Am Geophys Union 75:89. https://doi.org/10.1029/94eo00706
Zhang L, Jiao W, Zhang H, Huang C, Tong Q (2017) Studying drought phenomena in the Continental United States in 2011 and 2012 using various drought indices. Remote Sens Environ 190:96–106. https://doi.org/10.1016/j.rse.2016.12.010
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Niaz, R., Hussain, I., Ali, Z. et al. A novel framework for regional pattern recognition of drought intensities. Arab J Geosci 14, 1644 (2021). https://doi.org/10.1007/s12517-021-08097-w
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DOI: https://doi.org/10.1007/s12517-021-08097-w