SPSS
4 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 11 · Issue 2 · April 2024Statistical Analyses of Weather Conditions Impacts on Consumptive Use for Rice Production in Sulaimani Province
Bushra Qadir Karim
In this study, we show the impact of climate on the rate of consumption of water for production of rice as an agricultural product in Sulaymaniyah governorate, Various data was obtained from multiple weather stations including (Dukan, Chwarta, Penjween, Bazian, Sulaymaniyah and Darbandikhan) from the year 2003until 2016, and also determing those climate factors that have positive and negative influences on the consumption use of water .Thorinthweet equation was used to estimate the amount of potential evapotranspiration using rice plant coefficient.In this investigation, we depend on Description method to describe the relationship between climate elements and consumption of water, with Comparing method to compare consumption of water between the metrological stations, and Depending on this mathematical formula, the amount of water consumption in the study area was also found. Furthermore, effects of geographical distribution at both seasonal and periodic levels of rice crop growth were identified. Our aim in this investigation is the ability to irrigate our crops in a scientific way. Detailed statistical analysis revealed that climatic factors exert great influences of almost 99%, The temperature may come in the first degree for the positive reasons, and for the moisture component in the first degree for the negative reasons.
Volume 7 · Issue 4 · December 2020Impact of Climate Change on Walnut Production in Biara Sub-District
Pshtiwan Gharib Ghafur, Zhyan Sleman Hama, Khanda Saed Tofiq
In this research is conducted about the impact of climate change on walnut production in Biara Sub-district. Descriptive – analytical method was utilized to obtain the proposed objectives by using SPSS – 16. The predominant objective of this analysis is to illustrate the inevitable impact of climate change on the walnut production in 1973-2017. The results on which the study was based on are Pearson Correlation which demonstrates that there is an indirect correlation between temperature and walnut production, and an equivalent relation with precipitation. For instance, in Multiple Regression Analysis, the impact of temperature and precipitation on small walnut trees is 4%, and on medium walnut trees is 25.8%, whereas on big walnut trees it is 24.8%. Moreover, in Coefficient of Determination, the effect of temperature on small walnut trees is 3.4%, on medium and large walnut trees increase to 18.6% and 24.7% respectively. However, precipitation impact is less than 1%, except medium walnut trees is less than 6%. The apparent wide gaps between temperature and precipitation which affects production is due to low topographic elevation and the presence of 82 springs in the study area. Additionally, an increase in temperature, a decrease in precipitation and subfreezing temperatures, in other words, chill dates, in spring time, ultimately leads to an increase in hazardous insects such as stem worms and beetle. These issues could be solved through selecting different varieties of walnuts and planting at higher elevation, construct more irrigation projects and regular irrigation, in particular during drought seasons, improving agricultural facilities and importing sufficient pesticides to tackle walnut trees diseases, is also among the precautionary methods.
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%).