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Hydro-Climatological Drought Analyses and Projections Using Meteorological and Hydrological Drought Indices: A Case Study in Blue River Basin, Oklahoma

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  • Lu Liu
  • Yang Hong
  • Christopher Bednarczyk
  • Bin Yong
  • Mark Shafer
  • Rachel Riley
  • James Hocker

Abstract

Understanding the characteristics of historical droughts will benefit water resource managers because it will reveal the possible impacts that future changes in climate may have on drought, and subsequently, the availability of water resources. The goal of this study was to reconstruct historical drought occurrences and assess future drought risk for the drought-prone Blue River Basin in Oklahoma, under a likely changing climate using three types of drought indices, i.e., Standardized Precipitation Index (SPI), Palmer Drought Severity Index (PDSI) and Standardized Runoff Index (SRI). No similar research has been conducted in this region previously. Monthly precipitation and temperature data from the observational period 1950–1999 and over the projection period 2010–2099 from 16 statistically downscaled Global Climate Models (GCM) were used to compute the duration, severity, and extent of meteorological droughts. Additionally, soil moisture, evapotranspiration (ET), and runoff data from the well-calibrated Thornthwaite Monthly Water Balance Model were used to examine drought from a hydrological perspective. The results show that the three indices captured the historical droughts for the past 50 years and suggest that more severe droughts of wider extent are very likely to occur over the next 90 years in the Blue River Basin, especially in the later part of the 21st century. In fact, all three indices display lower minimum values than those ever recorded in the past 50 years. This study also found that SRI and SPI (PDSI) had a correlation coefficient of 0.81 (0.78) with a 2-month (no appreciable) lag time over the 1950–2099 time period across the basin. There was relatively lower correlation between SPI and PDSI over the same period. Although this study recommends that PDSI and SRI are the most suitable indices for assessing future drought risks under an increasingly warmer climate, more drought indices from ecological and socioeconomic perspectives should be investigated and compared to provide a complete picture of drought and its potential impacts on the dynamically coupled nature-human system. Copyright Springer Science+Business Media B.V. 2012

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  • Lu Liu & Yang Hong & Christopher Bednarczyk & Bin Yong & Mark Shafer & Rachel Riley & James Hocker, 2012. "Hydro-Climatological Drought Analyses and Projections Using Meteorological and Hydrological Drought Indices: A Case Study in Blue River Basin, Oklahoma," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(10), pages 2761-2779, August.
    • Handle: RePEc:spr:waterr:v:26:y:2012:i:10:p:2761-2779
    DOI: 10.1007/s11269-012-0044-y
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    3. Yi Liu & Xiaoli Yang & Liliang Ren & Fei Yuan & Shanhu Jiang & Mingwei Ma, 2015. "A New Physically Based Self-Calibrating Palmer Drought Severity Index and its Performance Evaluation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(13), pages 4833-4847, October.
    4. German Santacruz-De León & Janete Moran-Ramírez & José Alfredo Ramos-Leal, 2022. "Impact of Drought and Groundwater Quality on Agriculture in a Semi-Arid Zone of Mexico," Agriculture, MDPI, vol. 12(9), pages 1-18, September.
    5. Hossein Tabari & Jaefar Nikbakht & P. Hosseinzadeh Talaee, 2013. "Hydrological Drought Assessment in Northwestern Iran Based on Streamflow Drought Index (SDI)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(1), pages 137-151, January.
    6. Kozek Malwina & Tomaszewski Edmund, 2022. "Dynamics of hydrological droughts propagation in mountainous catchments," Miscellanea Geographica. Regional Studies on Development, Sciendo, vol. 26(2), pages 111-124, April.
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    8. Yong-Wei Liu & Wen Wang & Yi-Ming Hu & Zhong-Min Liang, 2014. "Drought assessment and uncertainty analysis for Dapoling basin," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(3), pages 1613-1627, December.
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