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Application of the Innovative Trend Analysis Method for the Trend Analysis of Rainfall Anomalies in Southern Italy

Author

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  • T. Caloiero

    (National Research Council of Italy)

  • R. Coscarelli

    (National Research Council of Italy)

  • E. Ferrari

    (University of Calabria)

Abstract

In this paper, an investigation of the temporal rainfall variability, in a large area of southern Italy, has been carried out using a homogeneous monthly rainfall dataset of 559 rain gauges with more than 50 years of observation. The area under investigation is a large portion of the Italian peninsula, ranging from the Campania and the Apulia regions in the North, to Sicily in the South, and covering an area of about 85,000 km2. Possible trends in seasonal and annual rainfall values have been detected by means of a new graphical technique, Şen’s method, which allows the trend identification of the low, medium and high values of a series. Moreover, the Mann–Kendall test has been also applied. As a result, different values and tendencies of the highest and of the lowest rainfall data have emerged among the five regions considered in the analysis. In particular, at seasonal scale, a negative trend has been detected especially in winter and in autumn in the whole study area, whereas not well defined trend signals have been identified in summer and spring.

Suggested Citation

  • T. Caloiero & R. Coscarelli & E. Ferrari, 2018. "Application of the Innovative Trend Analysis Method for the Trend Analysis of Rainfall Anomalies in Southern Italy," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(15), pages 4971-4983, December.
    • Handle: RePEc:spr:waterr:v:32:y:2018:i:15:d:10.1007_s11269-018-2117-z
    DOI: 10.1007/s11269-018-2117-z
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    Cited by:

    1. Martin Okirya & JA Du Plessis, 2024. "Trend and Variability Analysis of Annual Maximum Rainfall Using Observed and Remotely Sensed Data in the Tropical Climate Zones of Uganda," Sustainability, MDPI, vol. 16(14), pages 1-46, July.
    2. Mohammed Achite & Gokmen Ceribasi & Ahmet Iyad Ceyhunlu & Andrzej Wałęga & Tommaso Caloiero, 2021. "The Innovative Polygon Trend Analysis (IPTA) as a Simple Qualitative Method to Detect Changes in Environment—Example Detecting Trends of the Total Monthly Precipitation in Semiarid Area," Sustainability, MDPI, vol. 13(22), pages 1-17, November.
    3. Vassilios A. Tsihrintzis & Harris Vangelis, 2018. "Water Resources and Environment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(15), pages 4813-4817, December.
    4. Gang Deng & Zhiguang Tang & Guojie Hu & Jingwen Wang & Guoqing Sang & Jia Li, 2021. "Spatiotemporal Dynamics of Snowline Altitude and Their Responses to Climate Change in the Tienshan Mountains, Central Asia, during 2001–2019," Sustainability, MDPI, vol. 13(7), pages 1-21, April.
    5. Mohammed Achite & Tommaso Caloiero & Abderrezak Kamel Toubal, 2022. "Rainfall and Runoff Trend Analysis in the Wadi Mina Basin (Northern Algeria) Using Non-Parametric Tests and the ITA Method," Sustainability, MDPI, vol. 14(16), pages 1-23, August.
    6. Sinan Nacar, 2023. "Trends of High and Low Values of Annual and Seasonal Precipitation in Turkey," Sustainability, MDPI, vol. 15(23), pages 1-18, December.
    7. Manikandan Muthiah & Saravanan Sivarajan & Nagarajan Madasamy & Anandaraj Natarajan & Raviraj Ayyavoo, 2024. "Analyzing Rainfall Trends Using Statistical Methods across Vaippar Basin, Tamil Nadu, India: A Comprehensive Study," Sustainability, MDPI, vol. 16(5), pages 1-29, February.

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