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Inhomogeneity detection in the precipitation series: case of arid province of Pakistan

Author

Listed:
  • Kamal Ahmed

    (Lasbela University of Agriculture, Water and Marine Sciences)

  • Nadeem Nawaz

    (Lasbela University of Agriculture, Water and Marine Sciences)

  • Najeebullah Khan

    (Lasbela University of Agriculture, Water and Marine Sciences)

  • Balach Rasheed

    (Lasbela University of Agriculture, Water and Marine Sciences)

  • Amdadullah Baloch

    (Lasbela University of Agriculture, Water and Marine Sciences)

Abstract

Reliable precipitation data are often required for conducting hydro-climatological assessments. Therefore, the study aims to detect the inhomogeneity in each calendar month, mean annual and monthly time series precipitation data of Balochistan, an arid province of Pakistan. The inhomogeneity was assessed using standard normal homogeneity test, Buishand range test, Pettitt test and von Neumann ratio test at 95% confidence level. The tests were applied over the precipitation data obtained from 14 meteorological stations for the period 1961–2009. The results of the different tests were classified as ‘useful’, ‘doubtful’ and ‘suspect’ based on the null hypothesis. The result of calendar months and annual series indicates that most of the data were ‘useful’. The output of monthly time series precipitation indicates that the data at Jiwani, Lasbela, Nokkunddi, Ormara, Pasni, Turbat and Zhob stations were ‘useful’ and others are classified into ‘doubtful’ and ‘suspect’ class. It was also observed that von Neumann ratio test is sensitive to minor changes in the precipitation data, and standard normal homogeneity test was found less sensitive to changes.

Suggested Citation

  • Kamal Ahmed & Nadeem Nawaz & Najeebullah Khan & Balach Rasheed & Amdadullah Baloch, 2021. "Inhomogeneity detection in the precipitation series: case of arid province of Pakistan," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 7176-7192, May.
    • Handle: RePEc:spr:endesu:v:23:y:2021:i:5:d:10.1007_s10668-020-00910-y
    DOI: 10.1007/s10668-020-00910-y
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    References listed on IDEAS

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    1. Mohammed Sanusi Shiru & Shamsuddin Shahid & Noraliani Alias & Eun-Sung Chung, 2018. "Trend Analysis of Droughts during Crop Growing Seasons of Nigeria," Sustainability, MDPI, vol. 10(3), pages 1-13, March.
    2. Muhammad Ashraf & Jayant Routray, 2015. "Spatio-temporal characteristics of precipitation and drought in Balochistan Province, Pakistan," 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. 77(1), pages 229-254, May.
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    Cited by:

    1. P. Kabbilawsh & D. Sathish Kumar & N. R. Chithra, 2024. "Assessment of temporal homogeneity of long-term rainfall time-series datasets by applying classical homogeneity tests," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 16757-16801, July.

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