Al-Mustansiriyah Journal of Science

Temperature and relative humidity are the most important factors affecting on human comfort. This Research test the monthly average temperature and relative humidity for some selectedstations in Iraq, three stations (Baghdad -Mosul -Basra) to find the pattern covariance of the annual average of temperatures and relative humidity for the period of time (2000-2014) By using the Welch T-test or paired T-test, We find that the calculated value is greater than the tabular value in both stations (Baghdad -Mosul) and (Baghdad -Basra) for both temperatures and relative humidity, and this indicates an increasing trend in the average of temperature and relative humidity in two stations (Baghdad -Mosul) and (Baghdad -Basra), and since the main hypothesis is that there is a relationship between the two racists and the calculations prove that, so we reject the null hypothesis, which proves the validity of the main hypothesis, i.e. there is a relationship between temperature and humidity in these selected stations.

Surface heat inversion (SHI) is important in determining the spread of pollutants in the lower part of the troposphere. This paper presents the relationship between heat inversion intensity and its height and thickness using the daily radiosonde data (midnight) of the period from (2013-2014) obtained from the Iraq Meteorological Organization and Seismology (IMOS). The results of the study were that heat inversion intensity increases with the increase in height in winter, summer, and autumn, during the spring, so there is no relationship. The relationship of heat inversion thickness with intensity is linear in Spring, Summer, and Autumn, but inverse in Winter

Rain is deemed one of the most important climate elements. It must be given special attention for being the basis without which no kind of life in the world can be there. the aim of the study is to use Statistical models Downscaling (SDSM) where it is a universal model used to converting large scale output into a small scale that can be used to study impact at the local scale (Iraq)' to Forecasting cumulative annual rainfall for the next years where there are a few studies used this model in Iraq. Daily rainfall data from the Iraqi Meteorological Organization and Seismology (IMOS) (2007-2016) for the study areas (Baghdad, Karbala, Al-Hay, Mosul, Kirkuk, Khanaqin, Basra, Nasiriya, Diwaniya, and Rutba) is used to estimate the amount of rainfall by using SDSM. The model was used to estimate the rain values and then the results were compared with the actual values;the results were very close to each other. Also, the model used to predict the cumulative annualrainfall from (2017-2021), The result shows that the bigger amount of rainfall in the north region with (3821) mm and the lowest amount in the west region (665) mm, while middle region (1848) mm and south region (1828) mm.

Remote sensing techniques are very important for the identification of land cover patterns and monitoring changes occurred, thus three different periods were taken for Al-Razazalake region. The Summer and spring months were chosen by mean of climate changes were observed and their effect on land covers were monitored. According to the applied supervised classification, the study area was divided into four land covers, nearly closed Al –Razaza Lake was deeper in its western portions, thick vegetation cover was found. The eastern and southern portion of the lake was bounded by desertic and semi-desertic land. The water level in the lake was fluctuating with different seasons. During the period 2000 and 2015 the area of the lake was height decreased around 320 Km2. Climate changes led to increasing of drying out water areas and a high increase in the amount of saline areas in 2015.This study shows a significant decrease of water cover In terms of depth and area of the lake due to the large decline in the value of the NDWI index

The sun is the main source of energy that reaches the surface of the earth in the form of electromagnetic radiation called solar radiation and when it reaches the outer surface of the glass hood of the solar distillation, the process of energy transferring as the heat begins. The energy transfer process between parts of solar distillates greatly controls its performance, so the greater amount of energy gained and the less energy lost, leads to higher productivity and efficiency of the solar distillery. In this paper, a mathematical model was constructed to calculate the amount of thermal energy in each part of a monoclinic solar distiller equipped with an additional capacitor during its operation. as a result of this model showed that the temperature, after a series of heat energy exchanges between the glass cover and all the internal parts of the distillate, with the absorbent part at the base of the distillate, exhibited the same behavior, which is increasing in its temperature steadily during the first hours of the day from (32.5-41.7 ) at (08:30 am) in the morning down to its top value (61.4-76.7) at (02:30 pm) and decline after this hour in the same bullish pattern. this is due to the greater difference between the amount of energy lost and acquired by the absorbent portion during the same daylight hours, as the amount of energy gained increases and the amount of lost energy decreases, leading to the highest energy gain and the least energy lost by the absorbent part at (02:30 pm), except the outer part of the additional condenser, which followed a similar behavior of air temperature, with its temperature gradually increasing slightly during the first hours of the day from (27 ) at (08:30 am) until it reached its peak (36.2 ) at (01:30 pm), then itdecreases after this time slightly. This slight rise and slight decrease are due to the constant state of thermal balance between the two ends of the additional condenser by the heat exchange process between the outer part of the additional condenser and the cooling water

The phenomenon of dust storms occurs in areas that are characterized by drought, and lack of rainfalls. There are many such areas around the world, including the Middle East in general and large parts of Iraq in particular. In the last week of October 2017, a severe dust storm occurred over Iraq and lasted for four days, the aim of this work was to investigate the synoptic situation of this severe storm using remote sensing data. Data include daily true-color images, Aerosols Index (AI), surface weather maps, and 850 Mb weather maps. These data were analyzed for the four days of the storm (28-31 Oct 2017). The results showed that the storm was triggered on the 28th of October over the northwestern part of Iraq. The weather maps revealed that the cause, development, and transport of this storm were caused by a low-pressure system. This system was developed just over the source area of dust on the first day of the storm, and two ridges in which one has existed over the north of Iran and the second advanced from Egypt during the second day of the storm. The pattern of the trough and two ridges on the second and third day caused the storm to halt over central and southwestern areas of Iraq and the northern border of Saudi Arabia with Iraq. On the fourth day, the stormwas moved by the northwesterly wind towards the south of Iraq and Kuwait.

Lead-contaminated water, soil, and air have been perceived as potential sources of lead exposure for a considerable length of time, which continues to threaten human health; particularly that of young children. An Integrated Exposure, Uptake, and Biokinetic (IEUBK) as a human health risk model were applied to predict the Blood lead levels (BLLs) in children. A variety of data for air, soil, and water were obtained from the industrial region in Al-Dorah city in Baghdad for the period 2012-2014. The result found that the predicted BLLs value of 11.17 μg/dL obtained from the IEUBK model was exceeding the agency’s threshold of concern of 10 μg/jdL which was considered as the lowest level of concern for BLL in children, this result of the IEUBK model was in agreement with the actual value of BLLs which were taken from previous literature for 24 blood samples of school children matched for age curried out in the same Al-Dorah region. This technique propels logical comprehension of the connection between BLLs in children and environmental media in both air and soil for the pollute condition. It can control national health-based benchmarks for lead and related community public health decisions.

Carbon dioxide intensity (CI) refers to carbon dioxide emissions from fossil fuel combustion that mainly used for electricity, heat, transport, and other life requirements. The objective of this paper is better to understand CI as an indicator of Global Warming, and compared its behavior with two other variables (total CO2 emissions, and CO2 emissions per capita). The main data sources an available and activity data from Carbon Dioxide Information Analysis Center (CDIAC). Three annual variables used in this study; CI, total CO2 emissions, and CO2 per capita for fossil fuel emissions during long time series from (1971 to 2018).

The results of CI shown that the highest value found out at the beginning of the study in 1971 was (7.188 kg/kg oil equivalent), and then decreased till reach to lower value was (1.707 kg/kg oil equivalent) in 1997, after that slowly increased in the last decade near to (3.63 kg/kg oil equivalent). The total CO2 emissions were strongly related to oil prediction. The highest value for total CO2 emissions was (188.1 Mt) in 2018, with Iraqi oil production more than (4.78 million barrel/day). The total CO2 emissions increased by (65. 176%) during the study period. The total CO2 emissions were inversely proportional to CI. The level of CO2 emission per capita rate fluctuated around average (3.49 metric tons per capita); the maximum rate was (4.99 metric tons per capita) in 2013.

To know the reasons for changing the daily rainfall amount, cases study were chosen for Baghdad station by specifying the maximum and minimum daily rain for the months of the rainy season for each year of the study period (2007-2018). The behavior of dailyrainfall for the rainy season varying temporally with maximum (89 mm) and minimum (0.1mm). Synoptic analysis of weather chart for pressure levels (300, 500, 700, 850, and surface) was performed. Visible images of satellites were used to determine the quantities of the cloud for the selected cases. The results showed that synoptic analysis in all cases occurs due to the presence of a jet stream in the upper atmosphere, accompanied by the presence of a basin at the level of 300 hectopascals with an enhancement of relative humidity exceeding 70% at the level of 700 hectopascals, but the presence of the front makes the amount of rain greater in the absence of it. At the level of 850 hectopascals and the surface, the depressions that affect Iraq also differ in their severity and the amount of moisture loaded.

A receiver station was installed at Nasiriyah (Dhi QarUniversity -Faculty of Sciences) to receive very low frequency (VLF) radio signals from transmitters around the world. VLF waves are excellent probes of the sudden ionospheric disturbance (SID); they detect varying properties of the D layer presented as a lower region of the ionosphere when these waves propagate through the Earth-Ionosphere Waveguide. This study describes the set-up of our station system and it demonstrates its ability to detect sudden ionospheric disturbances caused by solar flares in May, June, July, August, and September 2017. We found out that the monitoring station is working successfully to receive FLV signals, and to detect sudden ionospheric disturbances. We detected 17 events resulting from solar flare C-class, 8 events from M-class, and 3 events from X-class that caused an increase in the received FLV amplitude

The cold events and Precipitation conditions having special attention in the last years due to their impact on human health, ecosystems, and other aspects such as agriculture, hydrology. The ECMWF ERA-Interim 12-hourly (03 and 15 UTC) total precipitations and Tmin in a 1º x 1º grid covering Iraq, from 29° N to 38° N and from 39° W to 48° E, with a total of 10 by 10 cells, was used. At each grid point, extremes were defined as those events in which total precipitations were above 99th percentile for the 25 years period 1994-2018. For more investigation, the Hybrid Single-Particle Lagrangian Integrated The trajectory (HYSPLIT) model was used to study the dynamical mechanism that led to producing the cold events in Iraq. The number of extreme precipitations patterns shows an increasing behavior in the number of extreme events especially in the last decade, farther more there is a significant increase in the number of extreme precipitations in the last three years ago. No correlations were found with NAO, EA index, in contrast, there is a significant negative correlation with winter Arctic oscillations index. The aim of this work is studying the precipitation and cold extreme events in Iraq and their relations of most hemispheric pattern which influence in the Middle East region such as North Atlantic Oscillation (NAO), East Atlantic index (EA), Artic oscillation index (AO) and Mediterranean index (MOi). We speculate that the results of this study can provide a better understanding of extreme cold and precipitations anomalies in Iraq from a large-scale view

The study aimed to seek for the effect of meteorological parameters and conditions on wave transport for both radio wave band that used by mobile phone communication and microwave band that used in 'TV' satellites by showing which atmospheric variable and conditions have a positive or negative effect on signal strength. Data of study was recorded perfectly from one selected point by hand using the same devices for all recording to exclude the error caused by changing device types. The results showed that atmospheric conditions had a noticeable effect on microwave signal band that used by 'TV' satellite especially when there was a rainy case, and for atmospheric 'UV' index it had a direct positive effect on radio waveband used by mobile phone because there was an increase in signal strength corresponding with increasing of 'UV' index (from 1 to 5 of UV index range). For temperature, the result showed inverse proportion with radio waveband signal, but relative humidity didn't show up any relations with both study bands’signals. Day time variation of signals was recorded for both wavebands, the result of radio waveband signal fluctuated in semi sine wave shape but with decreasing trend along day time, and for 'TV' satellite microwave band signal the result recorded increasing trend along day time, and this may because of solar radiation activity but in general, the satellite band signal was higher affected by weather condition as compared with mobile phone radio wave signal band.

In late 2019 and in Wuhan, a new disease appears, consider as an extension of SARS-COV2 epidemic. This epidemic virus has configured a danger to global health. We studied the effect of some atmospheric elements in Iraq with a number of (COVID-19) infections. In this study daily infections in three regions of Iraq compares with (Tmax-Tmin) and (RH) observed in stations Mosul (represent north region), Baghdad and Rutba (represent middle regions), and Basra (represent south region). It's found that increasing the difference between Tmax and Tmin means more infections, except for the northern province. As for the relative humidity, it is inversely proportional to infections with the correlation coefficient R = -0.6 in Baghdad station, and in the southern province with R = -0.32, and the opposite occurs in the northern province. The results also indicate that increasing the relative humidity to more than 70% was effective in increasing the infections. Solar radiation was studied over the city of Baghdad and its effect on infections because solar radiation contains a large proportion of ultraviolet rays that killed many viruses, the study indicates an inverse relationship because most of the patients are infected in the shade and there is no clear relationship.

In this study, Pasquill atmospheric stability determined at daytime for January and July 2010 fixed for Baghdad city. The classification of stability was made using data of wind speed and solar radiation. These classes were compared with atmospheric stability recorded hourly in Baghdad airport station. The results show that stability class, B and C make up the highest percentages, while class A is non-existent during winter \"this\" can be attributed to prevailing parameter weather and their frequencies such as temperature, wind speed, and solar radiation. The stability classes were estimated to be medium to moderate. In summer, B and A-B stability classes were more predominant than others. Visibility in January month is very high and concentrated at 8500-11500 meters and has a rate of 75%, while the bad visibility range at this month is about 7.6%. In July month the rate of clear weather conditions of visibility is about 65.8%. Atmospheric elements (temperature, relative humidity wind speed, solar radiation) are compared with visibility at specified stability class to show it’s affected on visibility. If more stable conditions existed this refers to the better extent of visibility, this means unstable conditions reduce atmospheric visibility with help of atmospheric elements. Overall, the most affected class on the visibility is neutral condition and near-neutral condition, but you may determine the location if there is near to the location of emission pollutant or aerosols, consequently, the case is different.

The atmospheric constituents generated by the activities of an urban area may affect UV radiation reaching the ground. In thisstudy, two areas were chosen in Baghdad city (Zafaraniyah and Abu Ghraib). Parameters of the pollutants data (Total column NO2 and Total column CO) and UV radiation for specific bands were collected and analyzed for the period of three years (2017-2019) were taken hourly from the European Center for Medium-Range Weather Forecasts (ECMWF) for each parameter through the years. The results show that the concentrations of pollutants in Zafaraniyah higher than Abu Ghraib throughout the year, Where total column NO2 reaching to about 9.6 * 10-5 kg m-2 in 2019 for Zafaraniyah and 8.48 * 10-5 kg m-2 for Abu Ghraib. While total column CO reaching to about 45 * 10-4 kg m-2 in 2019 for Zafaraniyah and 43 * 10-4 kg m-2 for Abu Ghraib in the same year. While the values of UV radiation in Abu Ghraib higher value 487.3W/m2 than 443.7 W/m2 Zafaraniyah throughout the year

To improve the management of water resources in Iraq, there are several methods, including the use of rainwater harvesting techniques. In this study, the Digital Elevation Model (DEM) and Landsat satellite imagery were used under the GIS environment to identify the suitable zones for rainwater harvesting. The accomplishment of rainwater harvesting systems strongly depends on their technical designing and identifying the suitable sites. Six criteria have been used to identify the rainwater harvesting sites in the Diyala governorate. The procedure of identifying the suitable sites for rainwater harvesting was applied twice for the Diyala governorate. Firstly, it was applied by using the criteria of rainfall, slope, stream order, distance to roads, and land use, and secondly, rainfall, slope, stream order, distance to roads, and Normalized Difference Vegetation Index (NDVI) criteria were used for this purpose. As a result, the study area was divided into three suitability zones: low, moderate, and high according to the specific criteria that were used to identify the rainwater harvesting suitable sites. It was found that in the application of land use criterion the low suitability zone represents 26%, 58% represents the moderate, and 16% for the high suitability zone, while in the method of NDVI it was found that 29% represents the zone that has low suitability, 57% represents the moderate, and 14% represents the high suitability zone. The compared results led to conclude that the land use is the most influential criterion for identifying the rainwater harvesting suitability sites and found that most of the Eastern parts of Diyala governorate are promising areas for rainwater harvesting and ArcGIS is a very useful, time-saving, and cost-effective tool for identifying the rainwater harvesting suitable sites.