قسم التربة والمياه

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حول قسم التربة والمياه

 افتُتح القسم مع إنشاء كلية الزراعة سنة 1966م، وقد اهتم بالتوسع في مختلف التخصصات المتعلقة بعلوم التربة والمياه وبإعداد الكوادر العلمية القادرة على إدارة وتسيير المشاريع الزراعية أو مواصلة دراستها والحصول على درجات ومؤهلات عالية، كما اهتم بتجهيز المختبرات وتزويدها بمختلف الأجهزة والمعدات الحديثة والمتطورة لاستخدامها في مجالات البحث والدراسة.

حقائق حول قسم التربة والمياه

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73

المنشورات العلمية

26

هيئة التدريس

52

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من يعمل بـقسم التربة والمياه

يوجد بـقسم التربة والمياه أكثر من 26 عضو هيئة تدريس

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د. حمدي عبدالخالق علي الزرقاني

Dr. Hamdi A. Zurqani is one of the faculty members at the Department of Soil and Water Sciences, Faculty of Agriculture, University of Tripoli, Tripoli, Libya. Dr. Zurqani is a recognized expert as a result of his internationally acclaimed work in the areas of Environmental Information Science, Remote Sensing, Land Evaluation, Sustainability, Pedology, and Soil Science Education. He has conducted research across the world, including the United States of America, and Africa. Dr. Zurqani is a distinguished soil scientist with a wide range of scientific and working experiences in Libya and abroad. He received his M.Sc. (2010) from the University of Tripoli, Tripoli, Tripoli, Libya, and Ph.D. (2019) from Clemson University, Clemson, SC, USA. His major research and teaching activities at the University of Tripoli have focused mainly on Soil Genesis and Classification and the Environmental Information Sciences (Remote Sensing and Geographic Information System). He has published broadly in many journals (e.g., Nature “Scientific Reports”, Geoderma; International Journal of Applied Earth Observation and Geoinformation; Journal of Geological Sciences; Land; Frontiers in Environmental Science; Communications in Soil Science and Plant Analysis; and others). Dr. Zurqani is a member of the Editorial Board for Remote Sensing (MDPI) Journal, counseling outcome and research evaluation. He also was appointed to serve as a Guest Editor for the Special Issue "Applications of Remote Sensing in Earth Observation and Geo-Information Science". In addition, Dr. Zurqani conducted peer-review for many journals including Journal of Environmental Informatics, Applied Sciences, SN Applied Sciences, Remote Sensing, Heliyon, Geosciences, Land, Water, Agronomy, Agriculture, Sustainability, Arid Land Research and Management, International Journal of Environmental Research and Public Health, Natural Hazards, and Conference of the Arabian Journal of Geosciences. He is also one of the authors of the lab manual entitled “GIS Exercises for Natural Resource Management”. Dr. Zurqani has been the recipient of numerous awards and honors: Recipient of Douglas R. Phillips Award for Graduate Students, Department of Forestry and Environmental Conservation, Clemson University, April 12, 2019; the First Place Best Judged Poster (CAFLS) at the GRADS 2019: Clemson Student Research Forum on April 4, 2019; the Second Place Poster at the 11th Clemson Biological Sciences Annual Student Symposium, April 6, 2019; the Second Place Best Judged Poster at the Clemson Student Research Forum on April 4, 2018; and the Third Place Poster at the 9th Clemson Biological Sciences Annual Student Symposium, February 25, 2017. Dr. Zurqani conducts cutting-edge research in the field of environmental information science, remote sensing, land use management/planning, change detection of landscape degradation, and geographic information system (GIS) models. He has focused on his research efforts on the development of new technologies in the field of environmental information sciences, geo-intelligence (advanced geo-information science and earth observation, machine and deep learning, and big data analytics), remote sensing, land evaluation, pedology, land use management/ planning, monitoring and evaluating sustainable land management, change detection of landscape degradation, and geographic information system models.

منشورات مختارة

بعض المنشورات التي تم نشرها في قسم التربة والمياه

تقدير الاحتياجات المائية المحصولية الكلية لبعض المحاصيل الزراعية بمنطقة طرابلس بمعايرة طرق تقدير البخر-نتح الشائعة

ندرة الموارد المائية في ليبيا تتطلب التركيز على جانب إدارة الطلب على المياه، ويعتبر المجال الزراعي المستخدم الأكبر للمياه، وهذا يدعو إلى ضرورة اتباع الطرق المثلى لاستغلال المياه في المجال الزراعي استغلالا اقتصاديا مجديا، ويعتبر تقدير الاحتياجات المائية بصورة دقيقة من أهم الخطوات التي تساعد في التخطيط الزراعي من أجل أمن غذائي يضمن استدامة تنمية الموارد المائية.هذا البحث بني على نتائج تجربة تقدير الاحتياجات المائية للصفصفة بطريقة الموازنة المائية للحقل التي أجريت في منتصف الثمانينات بغية معايرة طرق تقدير البخر نتح الإرصادية الشائعة الاستخدام في ليبيا وهي طرق بلاني-كريدل، الإشعاعية، بنمان المعدلة المنشورة في ورقة الري والصرف رقم 24 الصادرة عن منظمة الأغذية والزراعة بالأمم المتحدة FAO وكذلك طريقة بنمان-مونتيث المنشورة في ورقة الري والصرف رقم 56 الصادرة أيضا عن FAO وتمت مقارنة نتائج تقدير البخر نتح بهذه الطرق مع نتائج قياس البخر نتح بطريقة الموازنة المائية للحقل، حيث أظهرت المقارنة أن طريقة بنمان المعدلة هي الأقرب في نتائجها لنتائج طريقة البخر نتح بطريقة الموازنة المائية للحقل، وكان متوسط نسبة الفرق بين البخر نتح التراكمي المقدر بالطرق الإرصادية بلاني-كريدل، والإشعاعية، وبنمان المعدلة، وبنمان-مونتيث، مع البخر نتح التراكمي المقاس بطريقة الموازنة المائية للحقل 20.7%، 8.9%، 4.5%، 21.4% بالترتيب. وتم اختيار طريقتي بنمان المعدلة وبنمان-مونتيث لمعايرتهما، باعتبار أن الأولى أدق تقديرا للبخر نتح، والثانية الأسهل استخداما لدى مهندسي الري والعاملين بالمشاريع الزراعية المروية. وتمت المعايرة بطريقتين الأولى باستخدام نسب تصحيح ثابتة لكل شهر بناء على ما تم التوصل إليه في مقارنة النتائج، والثانية بطريقة المعايرة الإحصائية باستخدام معادلة منحنى متعدد الحدود، وتتميز الطريقة الأولى بإمكانية استخدامها في تقدير البخر نتح لفترات قصيرة تقل عن السنة، والثانية لتقدير البخر نتح التراكمي لسنة كاملة ومنها يحسب معدل البخر نتح اليومي لكل شهر، وقد تم حساب وتقدير احتياجات الري الكلية لبعض الأشجار المثمرة والمحاصيل الشائعة بمنطقة الدراسة باستخدام طريقة بنمان-مونتيث المعايرة بعد تقدير كفاءة الري واحتياجات الغسيل. Abstract The looming water scarcity facing Libya necessitates the immediate adoption of effective water saving measures of demand water management. Since irrigated agriculture, which consumes more than 80% of the national water resources budget, is the major water user, it offers the largest demand for interventions that realize such objectives and astablish some acceptable level of food security and development sustainability.One of such measures is the accurate estimation of crop water requirements that minimize waste and rationalize irrigation scheduling for maximum crop water productivity.This study is based on the results of field measurements by the water balance method of the actual crop water requirement of alfalfa grown for two consecutive years during the early 1980’s in the experimental farm of the college of agriculture in Alfateh university, Tripoli, Libya. These resultswere applied to calibrate four of the most commonly used methods of estimating evapotranspiration and crop water requirement as presented in FAO Irrigation and Drainage Papers No. 24 and 56. They include the methods of Blaney-Criddle, Radiation, modified Penman and Penman-Monteith.Comparison of the calculated values by these methods with the actual field measurements of the water balance method indicated deviations of 20.7%, 8.9%, 4.5% and 21.4% respectively.Two calibration approaches are used for both the modified Penman and the Penman-Monteith methods, as the first gave the closest results to the actual field measurments and easier to use by irrigation engineers and planners, and the second has been widely popularised in crop production and irrigation water management models. The first calibration approach used a fixed monthly rate corrected for the percent deviation from the actual for each method, while the second approach used a statistical polynomial function adjusted for the estimated deviations from the measured values. Thus, the first approach can be used for estimating ET values for short to medium time intervals (less than one year), and the second approach can be used to estimate the cumulative annual ET as well as the daily ET within each month.
سليمان موسى عيسى عبود (2009)
Publisher's website

Soil Moisture Content in Hill-Filed Side Slope

Abstract—The soil moisture content is an important property of the soil. The results of mean weekly gravimetric soil moisture content, measured for the three soil layers within the A horizon, showed that it was higher for the top 5 cm over the whole period of monitoring (15/7/2004 up to 10/11/05) with the variation becoming greater during winter time. This reflects the pattern of rainfall in Ireland which is spread over the whole year and shows that light rainfall events during summer time were compensated by loss through evapotranspiration, but only in the top 5 cm of soil. This layer had the highest porosity and highest moisture holding capacity due to the high content of organic matter. The gravimetric soil moisture contents of the top 5 cm and the underlying 5-15 and 15-25 cm layers show that bottom site of the Hill Field had higher soil moisture content than the middle and top sites during the whole period of monitoring. Keywords— Soil, Soil moisture, Gravimetric soil moisture content. arabic 7 English 39
ِAbdulfatah Faraj Abdullaha Aboufayed(1-2013)
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A Comparison of Parametric and Fuzzy Multi-Criteria Methods for Evaluating Land Suitability for Olive in Jeffara Plain of Libya

Boolean approaches to land suitability treat both the spatial units and the value ranges as clearly defined. This is to ignore the continuous nature of land properties as well as the differences and uncertainties in measurement. The objective of this paper was to compare two approaches to land suitability evaluations; Parametric and Fuzzy Multi-Criteria Methods to model the opportunities for olive production in Jeffara Plain of Libya. In this paper a number of soil and landscape criteria were identified and their weights specified as a result of discussions with local experts. The Fuzzy MCE approach was found to be better than the parametric approach. The Fuzzy MCE approaches accommodate the continuous nature of many soil properties and produce more intuitive distributions of land suitabilities value for olive. The results of Fuzzy MCE showed that the majority of the study area is highly suitable for olive production, while the results obtained from the use the parametric method showed that most of the study area is moderately suitable for olive production.
Mukhtar Mahmud Elaalem(1-2013)
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