The management of water resources requires adequate information on the quantities of water supplied from the basins that outfall into a river, especially during the flood seasons. The study area located in the western part of Iraq within the administrative boundaries of the Heet district about 70 km from Haditha Dam, 45km from Ramadi in Anbar province. The study aims to evaluate the amount of surface runoff through a long-term period (1981-2019). Soil and Water Assessment Tool (SWAT) related to Geographic Information System (ArcGIS) was used for the simulation. The input data was the Digital Elevation Model (DEM) of SRTM with resolution 30m, land use/land cover map from the European Space Agency (ESA) with resolution 300m and, soil map from the Food and Agriculture Organization (FAO). The weather data used in the study were obtained from the Climate Forecast System Reanalysis (CFSR) combined with the weather data from the Surface meteorology and Solar Energy (SSE) produced by NASA. These weather data prepared using SWAT weather database software to be ready for the simulation processes. Al-Mohammedi valley was calibrated and validated using SWAT-CUP software using the available recorded discharges at Heet, Ramadi, and Al-Warar gauge stations. The calibration is based on the meteorological data for the period January 1, 2002, to December 31, 2006, and the validation was based on the data between January 1, 2007, to December 31, 2009. The model calibration and validation results based on two objective functions “Nash-Sutcliffe (NS) and coefficient of determination(R2)” showed that SWAT was successfully simulated Al-Mohammedi valley with NS = 0.72 and R2 = 0.76 for calibration, and NS = 0.63 and R2 = 0.65 for validation. According to SWAT results, the average runoff volume in the long-term period of simulation from January 1, 1981, to October 31, 2019, was 79.2 million m3 while the average runoff depth was 18.25 mm with about 17 % of rainfall becomes surface runoff.
The water quality index (WQI) is applying for the integrating the water quality variables into a single number to indicate the overall quality of water. Rivers is one of the essential water resources, the protecting and preserving for the quality of this resource is important and imperative. An evaluation of water characteristics of the Shatt Al Arab River in Basrah city was performed in order to determine the quality of water for drinking usage. In this research, monitoring of variation in the characteristics of water was accomplished by collecting monthly water samples for three years. The water samples from the Shatt Al Arab River is analyzed for eight Physical and chemical parameters such as pH, total dissolved solids (TDS), electrical conductivity (EC), total hardness (TH), calcium (Ca), magnesium (Mg), sulphate (SO4) and chloride (Cl) using standard methods. Utilizing the WQI discovered that the water quality of the studied river is ranked between very poor water type and not suitable water for drinking usage category. In the present investigation, the quality of water was revealed that the average of WQI value for the studied years was 318, 337.3 and 456.7, respectively.
During the last four decades, incidence of failure of reinforced concrete structures has been seen widely for many reasons, such as increasing service loads ,war accidents, fire and/or durability problems and the economic losses due to such failures are costly. Nowadays, the size and the form of repair and rehabilitation market are too large since there has been an increased emphasis on repair and retrofitting of defected structures over demolition and new construction. An expert system is an interactive computer-based decision tool that uses both facts and heuristics to solve difficult decision problems based on knowledge acquired from an expert. To realize these requirements, a logic programming Prolog language was utilized together with diagnosis technology. The logic programming language formalizes the domain knowledge. The expert system Diagnosis of Fire Simple R.C Building Members Damages (DFSRCMD) developed in this paper is a diagnostic advisory system, which can be used as an alternative to the human expert, to give technical decisions in diagnosing fire damages in R.C. structural elements: beams, columns and slabs.
Land cover assessment is a significant research area in GIS and remote sensing, aiding decision-makers in understanding land use changes' underlying forces and enabling effective actions. In general, Iraqi cities are experiencing severe degradation of agricultural lands due to population growth and residential development, impacting socio-economic and environmental quality. In addition, the deriving forces of transforming the lands from agricultural to other land cover types are not well understood. Research is needed to map and assess agricultural lands for better economic and environmental solutions. The study uses ANN-CA integration to predict agricultural land changes in Babil province, central Iraq. The CNN model achieved the highest accuracy, with a total land cover transformation of 2143.1 square kilometres between 2000 and 2020. the overall accuracy was 0.95, 0.93, and 0.90 based on images captured in 2020, 2000, 2010) respectively. This methodology is considered an efficient tool for monitoring agricultural lands and developing development plans in Iraq.
The Gaza Strip in general, and the Islamic University of Gaza (IUG) in particular, are plagued by a lack of parking places, a lack of management and efficient usage of parking spaces, and illegal vehicle parking. This resulted in lost time and effort, besides traffic congestion. The study's goal is to provide a plan for implementing a Smart Parking System, which manages the parking spots on the IUG campus. To accomplish this goal, the researchers have identified the parking problems that face drivers at IUG, and then they have studied the impact of implementing the Smart Parking System. Researchers have used questionnaires to collect the raw data as one of the important tools in the field of survey. The data were analyzed using the Statistical Package for the Social Sciences (SPSS), as a useful tool for statistical analysis. The first results was the number of parking spaces is 300, which is greater than the number of potential vehicles occupying the university parking spaces at peak hours. Therefore, the issue is not the number of parking places, but how they are used. The result of the questionnaire presents that a large majority of respondents agreed that the IUG campus suffers from a lack of parking spaces, especially in rush hour from 8-10 am. The results indicate that 65.7% of the respondents park their cars near their workplace/study at the campus parking spaces, and 72.6% of the respondents do not use parking spaces with modern technology before. While 92.6% of the respondents encourage parking with modern technologies. Smart Parking System has assisted to resolve the issue of locating a parking spot on the IUG campus, resulting in less traffic congestion and a better flow of traffic. The Smart Parking System can be applied to all of the IUG's parking spaces and in the Gaza strip cities in the future