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التحليل الإحصائي المكاني لمياه نهر دجلة في محافظة واسط

العنوان المترجم: Spatial Statistical Analysis of The Tigris River Water in Wasit Governorate
المصدر: مجلة لارك للفلسفة واللسانيات والعلوم الاجتماعية
الناشر: جامعة واسط - كلية الآداب
المؤلف الرئيسي: فارس، إياد علي (مؤلف)
مؤلفين آخرين: المسعودي، أستبرق كاظم شبوط (م. مشارك)
المجلد/العدد: ع17
محكمة: نعم
الدولة: العراق
التاريخ الميلادي: 2015
الصفحات: 364 - 388
DOI: 10.31185/lark.Vol1.Iss17.724
ISSN: 1999-5601
رقم MD: 1187628
نوع المحتوى: بحوث ومقالات
اللغة: العربية
قواعد المعلومات: AraBase, HumanIndex
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المستخلص: The current study was carried out on the Tigris River within Wasit province boundaries. Based on the fact, the local basin of the river valley is characterized by dominants of various human activities, particularly the agriculture and their residues, many cities located on the banks of the river. The Tigris river in the study area is bounded between latitudes 32o 25 ' to 33o 2' and longitude 44o 43 ' to 46o 25' with a length of about 292 kilometers. The excesses on the river environment in the study area, via the discharge and the arrival of agricultural pollutants (fertilizers and pesticides), sewage and domestic wastes, industrial waste. As well as the presence of some diseases with residents, due to use of river water without treatment for drinking and domestic uses. The existence of death cases of some fishes and waterfowl in some locations along the river aquatic environment. Based on these factors, attentions are raised to concerns about the environment of the Tigris River. The current study has been conducted to analysis of the characteristics of the river water quality, and specify the factors controlling the ecosystem of the Tigris River in the region Research methodology and analysis, started with identifying the local spatial and. Many statistical techniques are implemented to analyze the spatial concentration and distribution of chemical elements and compound. XLSTAT V.8 package was used for statistical analysis i.e., Correlation coefficient, Principal Component analysis (PCA) and Clustering Analysis (CA). The spatial distribution and analysis of water constituents are carried out using ArcGIS v. 10.1 software

ISSN: 1999-5601