Al-Rafidain Engineering Journal (AREJ)

Trends Analysis of Long-Term Meteorological Data

Document Type : Research Paper

Author

Department of Civil Engineering, College of Engineering, University of Mosul, Mosul, Iraq

Abstract

Considering the potential impacts of climate change on meteorological data is likely to be more reliable in the design of hydrological systems. One of the recognized methods for the assessment the influence of climate changes by analyzing the weather data. The study aims were inspecting the maximum, minimum temperature and rainfall data for any discernible trends in the city of Delhi between 1901 – 2010 periods. Mann-Kendall non-parametric test including correlation was adopted to analyze the available data for three periods: 1901-2010; 1901-1955 and 1956-2010. Annual, monsoonal and pre-monsoon rainfalls have been examined for trends analysis. Results show that the maximum and minimum annual temperatures exhibit an increasing and decreasing trend, respectively. On the other hand, monsoonal and annual rainfall shows increasing trends. A strong negative correlation is noted between annual rainfall and annual maximum temperature for 1901-1955 and 1956-2010 periods as well as for the entire period of analysis. A strong negative correlation is also noted between the monsoonal rainfall and the annual maximum temperature. In addition to previous findings, a noticeable correlation is shown between minimum temperature and annual rainfall for 1956-2010 periods of records. However, a weak and negative correlation was reported between minimum temperature and annual rainfall for the periods between 1901-1955 and 1956-2010.

Keywords

Main Subjects

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Al-Rafidain Engineering Journal (AREJ)
Volume 28, Issue 2
September 2023
Page 152-162
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