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Comparison of Climate Change Impact upon Water Productivity of Winter Wheat in Northern and Southern Regions of Iraq 
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Abstract<p>Maximizing the water productivity for any agricultural system is considered an adaptation to the potential climate change crisis. It is required, especially in arid and semi-arid environments in Iraq. Therefore, this study assessed the potential impact of climate change on the different environments in the Qadissiya and Nineveh provinces. The ensemble of six GCM models employed for the regional climate model of the HCLIM-ALADIN in high-resolution 10*10 km<sup>2</sup> and Aqua-Crop was used to examine the response of water productivity and yield of winter wheat. With and without CO<sub>2 </sub>concentration changing under different water regimes in the near term (2020-2040) and mid-term (2041-2060) related to the reference period (1995-2014). The model was validated in both provinces to indicate good performance of RRMSE (4.54- 7.1) and d, R<sup>2 </sup>( 1- 0.99). The main findings revealed an increase in water productivity, yield production, and transpiration reduction under the CO2-changing scenario and behaved stable under the fixed concentration scenario. The developed schedule enhanced water productivity in both locations. The assessment study examined the resilience of arid and semi-arid agricultural lands under future climate change.</p>
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Publication Date
Wed Jun 01 2022
Journal Name
Baghdad Science Journal
Design and Performance Investigation of a Solar- Powered Biological Greywater Treatment System in the Iraqi Climate
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            The increase in population resulted in an increase in the consumption of water. The present work investigates the performance of a recycling solar- powered greywater treatment system for the purposes of irrigation, used to reduce the amount of waste grey water and reduce electricity consumption and reduce the costs of constructing large scale water treatment plants. The system consumes about 3814W per hour and provides water treatment about 1.4 m3 per day. The proposed system is designed to    residential, office and governmental buildings application. Tests are conducted in an office building at the Ministry of Science and Technology site in Baghdad. Laboratorial water samples testing analyses are co

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Publication Date
Wed Jan 01 2020
Journal Name
Medico -legal Update
Histological changes in liver tissue resulting from Hydatid cyst infection: Comparison between sheep and cattle in iraq
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Publication Date
Sat Dec 01 2018
Journal Name
Baghdad Science Journal
Seasonal variation and modeling of disinfection by-products (DBPs) in drinking water distribution systems of Wassit Province Southeast Iraq
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Publication Date
Sat Jun 01 2019
Journal Name
Collegian
Medication adherence and predictive factors in patients with cardiovascular disease: A comparison study between Australia and Iraq
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Publication Date
Wed Jul 31 2019
Journal Name
Journal Of Engineering
River Water Salinity Impact on Drinking Water Treatment Plant Performance Using Artificial neural network
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The river water salinity is a major concern in many countries, and salinity can be expressed as total dissolved solids. So, the water salinity impact of the river is one of the major factors effects of water quality. Tigris river water salinity increase with streamline and time due to the decrease in the river flow and dam construction from neighboring countries. The major objective of this research to developed salinity model to study the change of salinity and its impact on the Al-Karkh, Sharq Dijla, Al-Karama, Al-Wathba, Al-Dora, and Al-Wihda water treatment plant along Tigris River in Baghdad city using artificial neural network model (ANN). The parameter used in a model built is (Turbidity, Ec, T.s, S.s, and TDS in)

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Publication Date
Tue Jan 01 2019
Journal Name
International Journal Of Agricultural And Statistical Sciences
Effect of foliar spraying with gibberellic and humic acid on wheat growth
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Publication Date
Sat Jul 23 2022
Journal Name
Environmental Monitoring And Assessment
Impact of using magnetic water on the micro structure of leached saline-sodic soil
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Publication Date
Sun Jul 09 2023
Journal Name
Journal Of Engineering
Comparison between Linear and Non-linear ANN Models for Predicting Water Quality Parameters at Tigris River
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In this research, Artificial Neural Networks (ANNs) technique was applied in an attempt to predict the water levels and some of the water quality parameters at Tigris River in Wasit Government for five different sites. These predictions are useful in the planning, management, evaluation of the water resources in the area. Spatial data along a river system or area at different locations in a catchment area usually have missing measurements, hence an accurate prediction. model to fill these missing values is essential.
The selected sites for water quality data prediction were Sewera, Numania , Kut u/s, Kut d/s, Garaf observation sites. In these five sites models were built for prediction of the water level and water quality parameters.

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Publication Date
Mon Feb 04 2019
Journal Name
Journal Of The College Of Education For Women
The regulatory climate in the government and private kindergarten children (Comparative Study)
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The research problem boils question is there in Riyadh organizational climate that enables them to do their work properly and whether there are differences between the government and private Riyadh depending on the organizational climate has sought Find measure: 1 regulatory climate for kindergarten 2. The difference between government and private Riyadh depending on the organizational climate. Limited research on the (200) parameter of the Riyadh government and private parameters for the year (20,142,015) In order to achieve the research objectives the researchers built a regulatory climate in accordance with the scientific steps to build a psychological scales measure After the formulation of climate regulation paragraphs of the (30) p

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Publication Date
Wed Mar 15 2017
Journal Name
International Journal Of Poultry Science
Effect of Threonine Supplementation on Broiler Chicken Productivity Traits
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Scopus (16)
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