Precipitation
3 articles filed under this keyword.
Statistical Analyses of the Effect of Precipitation on Levels of Underground Water in Central Sulaimani Province
Bushra Qadir Karim, Soran Hamaamen Ahmad, Peshawa M.Ali
In this study, we tried to shade light on effect of precipitation on the underground water level in Central Sulaimani Province, based on collected data of precipitation of different weather station in Sulaimani, Bakrajo, Bazyan. Data of all the wells, in practical fields using electrical sounder for measuring weather levels. GPS was also used to detect the astronomical position of the wells and define their places on map using ArcGis10.8. On two different time periods, the water levels were measured including Autumn, when the underground water position is in its mining level, from 17-9-2021 to 13-11-2021, and on Spring from 4-3-2022 to 17-4-2022 when water is at lightest level. To compare water levels before and after precipitation, another method of quantitative analysis based on statistical results and Pearson Coefficient to realize correction of degree of precipitation and underground water levels. Moreover, effect of precipitation on underground water level has been shown using SPSS-26. The aim of this research is to define the relation and precipitation effects on underground water level, and ultimately propose a scientific plan to preserve the underground water level. As a result, according to Pearson Coefficient Correlation, there is negative relation between precipitation and the depth of underground water level. This means that the depth to reach underground water is reduced when the precipitation increases. Furthermore; precipitation has an estimated effect of 90.2% on static level of underground water, and of 67.6% on dynamic level of underground water.
Volume 10 · Issue 3 · September 2023Analysis of the water-climatic balances by the Thornthwaite method in Dukan district
Taha Ahmad karim, Pshtiwan Ali Mohammed, Mohammed Qadir Rassul
Water balances in any area are one of the main factors affecting water revenue, the natural environment, and vegetation cover. Water balance refers to the contribution of rainfall, temperature, evaporation, and impact on surface and groundwater in each region. In this research, an analytical and descriptive method was used to analyse the climate data used at Dukan climate station to determine the total amount of water between (2000-2022), which reached (1714.6 mm) For nine (9) months of the year, we have a shortage of water; only three (3) months have surpluses of water, which reached 130.1 mm. To prove whether the evaporation taken from Dukan climate station is the true evaporation of the water balance in the study area, we used the Thornthwaite equation to find out the true water balance based on temperature and annual rainfall for the same period. The results showed that the area had a water shortage of (1287.3 mm) for six (6) months and a surplus of (390.5 mm) for six (6) months. At the same time, the total evaporation, or evapotranspiration, reached (1461.9 mm). Based on the water balance equation, using scientific resources, and showing the relationship between precipitation and evaporation, the research concluded that the water balance varies from year to year depending on the amount of rainfall in the study area, but in general there is a water shortage in the study area during the year, and the highest water shortage in the region is in the summer months.
Volume 7 · Issue 3 · August 2020Statistical Analysis of The Effects of Weather on Psychological Depression and Schizophrenia In The City of Sulaymaniah
Bushra Qadir Kareem
In this study, we showed the effect of psychiatric illnesses including depression and schizophrenia. Based on data obtained from Sulaymaniah city’s weather station’s records from the year 2009 to 2019. The data for the psychological illnesses were obtained from Sulaymaniah Directorate for psychological illnesses from 2009-2019 using SPSS-14. We revealed that weather conditions affect the incidence of these diseases at a rate of (81.3%) Furthermore, the effects were analyzed based on their correlation and the correlation coefficient was determined for each of the weather elements. Temperature is a positive factor that affects depression at a rate of (33.7%). While sun light positively affects schizophrenia at a rate of (15.7%) conversely among the negative factors, raining is the most common factor that affects depression at a rate of (43.5%). In addition, clouds negatively affect schizophrenia at a lower rate which is (21.3%).