Analysis of Extreme rainfall in the direction of humidity and drought in Sulaimani province using metrological indicators

Authors

  • Chiman Abdullah Ahmed Geography Department, Faculty language and human science, Sulaimani University Author
  • Soran Hama Amin Ahmed Geography Department, Faculty language and human science, Sulaimani University Author
  • Peshawa Muhamad Ali Geography Department, Faculty language and human science, Sulaimani University Author

DOI:

https://doi.org/10.31918/twejer.2573.01

Keywords:

Extreme Rainfall, Drought, Sulaimani province, metrological indicate.

Abstract

This study was conducted on extreme rainfall in Sulaimani province, in both moist and dry directions, relying on the ETCCDI method, utilizing sophisticated software (R-4.2.0) and capturing time series data for seven weather stations (Dukan, Chawarta, Penjwen, Sulaimani, Bazian, Chamchamal, Darbandikhan). After data quality control, the extreme rainfall onset was limited. The value differed across stations due to their position and natural structure in terms of height, land area, and water area. Very wet days were also identified and the most important drought index was used to determine the direction of the drought. The most important meteorological indices of drought used. The goal of this study is to understand the hydrological situation and efficient management of water resources in the region, reduce the negative effects of the drought phenomenon and engage in appropriate planning.

Downloads

Download data is not yet available.

Downloads

Published

2024-12-23

Issue

Section

Original Articles (توێژینەوە)

How to Cite

Abdullah Ahmed, Chiman, Soran Hama Amin Ahmed, and Peshawa Muhamad Ali , trans. 2024. “Analysis of Extreme Rainfall in the Direction of Humidity and Drought in Sulaimani Province Using Metrological Indicators”. Twejer Journal 7 (3): 1-35. https://doi.org/10.31918/twejer.2573.01.

Most read articles by the same author(s)

1 2 3 4 5 6 7 8 9 10 > >> 

Similar Articles

1-10 of 68

You may also start an advanced similarity search for this article.