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An investigation of seasonal precipitation patterns for rainfed agriculture in the Southeastern region of the United States

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  • Sohoulande, Clement D.D.
  • Stone, Kenneth
  • Szogi, Ariel
  • Bauer, Phil

Abstract

Over the last two decades, signs of precipitation irregularity were frequently reported across the Southeastern United States (US). Even though the region receives a relatively high annual precipitation, the precipitation events are not equally distributed in the time and space. Hence, rainfed agriculture, a common practice in the region is threatened by changes in precipitation frequencies during the crop growing seasons. With this situation, a better understanding of the actual patterns of precipitation irregularity is needed to support the local agriculture. This study uses a spatial regionalization approach to delineate precipitation regions for an area spanning the states of South Carolina, North Carolina, and Georgia. The data used include time-series of seasonal precipitation totals and seasonal numbers of precipitation events >5 mm over the period 1960–2017. A regionalization method which combines principal components and cluster analyses was applied to 208 precipitation stations selected across the study region. Finally, three precipitation regions were delineated based on statistics and similarity criteria. A comparative analysis of these three regions shows significant differences in the seasonal precipitation totals and the seasonal number of precipitation events. In addition, the differences were examined using a probabilistic approach. As a result, tables of probabilities and seasonal precipitation characteristics (precipitation totals and number of events >5 mm) were generated for each region. These tables could provide information about the chances of precipitation deficits or excesses relatively to a crop and henceforth be useful for agricultural water use planning.

Suggested Citation

  • Sohoulande, Clement D.D. & Stone, Kenneth & Szogi, Ariel & Bauer, Phil, 2019. "An investigation of seasonal precipitation patterns for rainfed agriculture in the Southeastern region of the United States," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    • Handle: RePEc:eee:agiwat:v:223:y:2019:i:c:22
    DOI: 10.1016/j.agwat.2019.105728
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    References listed on IDEAS

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    1. Katerji, N. & van Hoorn, J. W. & Hamdy, A. & Mastrorilli, M., 2004. "Comparison of corn yield response to plant water stress caused by salinity and by drought," Agricultural Water Management, Elsevier, vol. 65(2), pages 95-101, March.
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    5. Sohoulande, Clement D.D. & Stone, Kenneth & Singh, Vijay P., 2019. "Quantifying the probabilistic divergences related to time-space scales for inferences in water resource management," Agricultural Water Management, Elsevier, vol. 217(C), pages 282-291.
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    Cited by:

    1. Mohammed B. Altoom & Elhadi Adam & Khalid Adem Ali, 2023. "Mapping and Monitoring Spatio-Temporal Patterns of Rainfed Agriculture Lands of North Darfur State, Sudan, Using Earth Observation Data," Land, MDPI, vol. 12(2), pages 1-21, January.
    2. Ryan Nedd & Aavudai Anandhi, 2022. "Land Use Changes in the Southeastern United States: Quantitative Changes, Drivers, and Expected Environmental Impacts," Land, MDPI, vol. 11(12), pages 1-25, December.
    3. Babel, Mukand S. & Chawrua, Lapanploy & Khadka, Dibesh & Tingsanchali, Tawatchai & Shanmungam, Mohana Sundaram, 2024. "Agricultural drought risk and local adaptation measures in the Upper Mun River Basin, Thailand," Agricultural Water Management, Elsevier, vol. 292(C).
    4. Sohoulande Djebou, Clement D. & Conger, Stacia & Szogi, Ariel A. & Stone, Kenneth C. & Martin, Jerry H., 2021. "Seasonal precipitation pattern analysis for decision support of agricultural irrigation management in Louisiana, USA," Agricultural Water Management, Elsevier, vol. 254(C).

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