مدير المعهد الحالى

أ.د/ علاء البابلى

مدير معهد بحوث الأراضى والمياه والبيئة

إدارات المعهد المتعاقبة
من البداية حتى الآن

أ.د/ نبيل المويلحى

مدير معهد بحوث الأراضى والمياه والبيئة الفترة: 1988 - 1999

مواقع صديقة

المكتبة القومية الزراعية
Egyptian National Agricultural Library
وزارة الزراعة وإستصلاح الأراضى
Ministry of Agriculture and Land Reclamation
مركز البحوث الزراعية
Agricultural Research Center
مزيد من المواقع الصديقة

مواقع مفيدة

الإدارة المركزية للأراضي والمياه والبيئة‎
Central Administration of Soils, Water and Environment
المركز الدولى للبحوث الزراعية بالمناطق الجافة
International Center for Agricultural Research in the Dry Areas
منظمة الأغذبة والزراعة بالأمم المتحدة
Food And Agriculture Organization OF The United Nations
مزيد من المواقع المفيدة

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أحدث البحوث المضافة

Basma R. A. Rashwan( 2018). RESPONSE OF MAIZE GROWN ON SANDY SOIL TO MICRONUTRIENT FOLIAR APPLICATION AND ORGANIC MANURE UNDER DIFFERENT LEVELS OF NITROGEN FERTILIZEREgypt. J. of Appl. Sci., 33 (9) 278-297
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Basma R. A. Rashwan1; M. A. M. Ali2 and H. Ferweez3( 2018). Growth, Yield, Bulb Quality and Storability of Garlic (Allium sativum L.) as Affected by Using Poultry Manure, Sulphur and Different Levels of Phosphorus Fertilizer J. Soil Sci. and Agric. Eng., Mansoura Univ., Vol. 9 (10): 447 - 459
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أحدث رسائل الماجستير
المضافة إلى الموقع

عبد الرحمن أمير عبده ( 2015).
الخمائر كاداه واعده لإنتاج الزيوت الميكروبيه.
Yeasts As Apromising Tool For Microbial Oil Production
More about researches
إيمان عبد المجيد زغلول( 2015).
كفــاءة الأســـمـدة النيتــروجينيــة فـي الأراضــي الملــوثــــة
Efficiency Of Nitrogen Fertilizers In Contaminated Soils
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أحدث رسائل الدكتوراه
المضافة إلى الموقع

محمد سعد عبد الستار رمضان( 2016).
علاج بعض الأراضي المصرية الملوثة بالعناصر الثقيلة باستخدام بعض النباتات المجمعة لهذه العناصر
Phytoremediation of Some Egyptian Soils Polluted with Heavy Metals
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أيمن حاكم سراج( 2015).
نمو ومحصول وامتصاص العناصر في الذرة متأثرة بالتسميد العضوي والحيوي تحت الظروف الملحية.
Growth, yield and nutrients uptake of maize as affected by organic and biofertilization under saline conditions
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El-Raies S.A.A., Aboul Defan T.A., El-SiSi S.M. and Taha H.A.A. ( 2018). Some of Weather Phenomena in The Moist Air Near Soil Surface at Ismailia District, Egypt Fayoum J. Agric. Res. & Dev., Vol.3, No, 1, January, 2018
Abstract: The research was conducted at Ismailia Agricultural Research Station, Agric. Res. Central (ARC) to study some of weather phenomena in moist air near soil surface. To achieve this goal, the phenomena measurements of air temperature (T, oC), vapor pressure (VP, kPa) were recorded, which the values of relative humidity (RH %) and saturation vapor pressure (SVP, kPa) were calculated, and dew point temperature (TDP, oC) were recorded as well as may calculate from the weather station of Ismailia Agric. Res. Station. Air temperature (T, oC) had started to be hot from 7a.m. and the peak at 3p.m. This differed from month to another through the average day hourly (h), during the twelve months of the year. Meanwhile, along the 24 day's hours relative humidity (RH, %) had depressing manner opposite to air temperature depressing trend. However, relative humidity (RH, %) showed depressing with increasing of air temperature (T, oC). Saturated vapor pressure (SVP, kPa) was high at August and low at December, January and February. This trend was related to air temperature. Vapor pressure (VP,kPa) were low and the depression more or less at 3 p.m. for all months, where at very low at January and February and relatively high at July and August. The relations between both air temperature (T, oC) and dew point temperature (TDP, oC), along the months of (T- air, oC) values were more than the corresponding values of (TDP, oC). The distance between the rise in (T, oC) and the depression in (TDP, oC) was as far as at ~ 3 p.m. and were more obvious during the months of June, July and August. The relations between all of SVP (kPa), VP ,(kPa), T-air (oC), RH (%) and TDP (oC) can be represented by mathematical formals in five equations, where they were (1) polynomial, (2) logarithmic, (3) exponential, (4) power and (5) linear. The better relation of the studied weather formula was polynomial compared with other equations, whereas the regression coefficient ( r ) for polynomial equation at SVP, VP, T, RH, and TDP were 0.83, 0.80, 0.81, 0.77, 0.83, respectively, and the best regression coefficient were for SVP and TDP.

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