"
Statistical Analysis for Assessing Randomness, Shift and Trend in Rainfall Time Series under Climate Variability and Change: Case of Senegal"
written by Didier Maria Ndione, Soussou Sambou, Moussé Landing Sane, Seydou Kane, Issa Leye, Seni Tamba, Mouhamed Talla Cisse,
published by
Journal of Geoscience and Environment Protection,
Vol.5 No.13, 2017
has been cited by the following article(s):
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[1]
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Present Environment & Sustainable Development,
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[2]
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… Sciences et Technique de l'Eau et de l …,
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[3]
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[4]
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Disaggregation coefficients for obtaining rainfall intensity-duration-frequency curves: concepts, models, errors and trends in Minas Gerais, Brazil
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[5]
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Integrated Assessment Tools in Support of Futuristic Climate Change Towards Rice Production in Nigeria
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[6]
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[7]
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2020 |
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[8]
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Uncertainty analysis in the detection of trends, cycles, and shifts in water resources time series
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Water Resources Management,
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[1]
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Characterization of the starting conditions of the rainy season in Senegal: highlighting the constraints of crop establishment
Environmental Research Communications,
2024
DOI:10.1088/2515-7620/ad5081
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[2]
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Disaggregation coefficients for obtaining rainfall intensity-duration-frequency curves: concepts, models, errors and trends in Minas Gerais, Brazil
Urban Water Journal,
2023
DOI:10.1080/1573062X.2022.2105237
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[3]
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Disaggregation coefficients for obtaining rainfall intensity-duration-frequency curves: concepts, models, errors and trends in Minas Gerais, Brazil
Urban Water Journal,
2022
DOI:10.1080/1573062X.2022.2105237
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[4]
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Uncertainty analysis in the detection of trends, cycles, and shifts in water resources time series
Water Resources Management,
2019
DOI:10.1007/s11269-019-02210-1
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