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Register a new userUsing WEPP model to estimate soil water erosion in the coastal zone-Syria
استخدام برنامج WEPP لتقدير كمية التربة المنجرفة في المنطقة الساحلية-سورية
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يعد الانجراف المائي للتربة عاملا رئيسا من عوامل تدهور الأراضي في المنطقة الساحلية في سوريا, و يمثل تهديدا حقيقيا للبيئة و الموارد الطبيعية على المدى البعيد, حيث يحصل ضياه كميات كبيرةمن العناصر المغذية و المادة العضوية من الطبقة السطحية للتربة ثم تترسب في النهاية على الطرقات و الآبار و المجاري المائية. يهدف هذا البحث إلى تقدير فعالية نموذج WEPP.
Soil water erosion is one of the most important factors of soil degradation. Soil erosion is a process that causes loss of big amounts of nutrients and organic matter from the topsoil layer and pollutes the surface water bodies. The USDA- WEPP (Water Erosion Prediction Project erosion model) represents a new generation technology for estimating soil loss by water erosion and sediment delivery from hillslopes and small watersheds. The main purpose of this study was evaluating the capability of WEPP model.
References used
ABACI,O. and A.N. PAPANICOLAOU.2009. Long-term effects of management practices on water-driven soil erosion in an intense agricultural sub-watershed: monitoring and modeling. Hydrol. Process.vol 23, 2818– 2837P
DUN, S. 2006. ADAPTING WEPP (WATER EROSION PREDICTION PROJECT) FOR FOREST WATERSHED EROSION MODELING. WASHINGTON STATE UNIVERSITY-Department of Biological Systems Engineering
EID,Yusuf. 2004. Report on predominant climatic situation in the Syrian coast.88P
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The research was performed during the three years from 2011 in the coastal area
“Lattakia and Tartous” The study of soil erosion has been traced in eight occasional sites in
the coastal area, Gradient in its slope degree from 10% to 45% . the eight
sites has also
been studied under the three systems “Forests, burned forests , planted soil”
The results shows, that the dangerous of the Water erosion in the coastal area soils
especially in the slopes that is more than 15%, the drift reached scary figures that ranged
between 32.5 ton/Hectares when the slope was 10%, and 165 ton/hectares when the slope
was 45% in the agricultural system (Where the surface of the soil is semi-disgrace), These
amounts ranged between 9 and 56.5 t / hectares/year in the burned forest system and
between 1.4 and 15 t / hectares/year in the forest system.
The runoff of rain water may range between 24 and 59.20 in the forest system versus
6.8 and 32.8 in the burned forest systems and, finally, between 2.9 and 16.8 in the forest
system.
This study was conducted to use regression equations as indirect methods to
estimate amounts of meat and fat in broiler carcasses of Arbor-Akroz hybrid.
Sixty broiler birds (٣٠ male and ٣٠ female) aged ٤٩ days and reared at a
private farm were use
d . The length of (truck, neck sternum, head, tibia.
lemur, libula, rumb), the width of (head, intervel between iliums, chest,
abdomen), circumference of (thigh, tibia) the high of head and chest and depth
of chest were measured before slaughtering. Birds were slaughtered, cooled for
٢٤ haurs, weighted before and after cooling and the above measure merits
were repeated after slaughtering. Carcasses were dissected and weights of
muscles in the chest, thigh and hypo thigh, amount of fat in the abdominal
cavity and weight of heart and the head were recorded .
The soil water erosion risk is one of the most important problems and
challenges facing the agricultural process in the Syrian coast today. The aim
of this study was to determine the spatial distribution of dangerous areas of
water erosion in the
basin of the Mrqyieh River using CORINE model. To
achieve this objective, the first phase of the study was to evaluate the soil
erosion viability based on soil characteristics (soil texture, soil depth and
percentage of stones); these properties were classified according to their
influence degree on soil erosion. The potential risk erosion map was based
on crossing all information obtained from soil erodibility, erosivity index
and the degree of slope at study area by using GIS technologies. The land
cover map of the study was produced and classified to two classes
depending on soil protection degree. Then, an actual risk map of soil erosion
was prepared after crossing land cover and potential risk erosion classes of
study sites. This study showed that 14.8% of the studied area facing high
risk of soil erosion, while the soil risk was moderate in 40.4% and low in
44.8% of the study area. The highly risked erosion area was located in the
center, northern and northwest parts of the study area. Moreover, the study
confirmed that the land cover is the most influential factor on soil water
erosion. The results showed that the Corine model for soil water erosion
mapping is a highly effective and cost-effective approach
The aim of this study is to examine the role of oxidative stress (OS) by measuring Malondialdehye (MDA) levels to test Lipid Peroxidation as a marker of oxidative stress in serum samples in toxic injuries resulting from exposure to anticholinesterase
insecticides (organophosphates and carbamates) in greenhouse workers in the coastal region of Syria. The study population comprised two groups (the majority of males): greenhouse workers who prepare and spray pesticides (100 workers, aged 18-61) and Control group (not never handle pesticides, 50 subjects, aged 19-58). Malondialdehye (MDA) levels were measured using enzyme-linked immunosorbent assay (ELISA). There was a significant difference in MDA levels in greenhouse workers group compared to control group (P˂0.05). Therefore, MDA levels could be considered as a biomarker for oxidative stress in greenhouse workers exposed to anticholinesterase insecticides and might be a useful diagnostic aid and monitoring exposure in those workers as well as cholinesterase enzyme.
This study aimed to describe the water erosion modeling in Daher Aljabal
and its surrounding areas in Al-Sowaida Governorate based on GIA and RS.
The water erosion risk map was obtained by applying GIS model developed on
the basis of ten factors i
nfluencing the erosion process. GIS layers were built
for every factor. The weights for all factors were added together. Based on sum
of these factors, water erosion was divided into six erosion risk levels. Results
showed that 12% of the study area was classified in levels 5 and 6, which reflect
high and very high water erosion risks. Land topography was the main factor
in water soil erosion. Terraces are effective ways to decrease the water soil
erodability. Results also showed that GIS and RS were powerful tools in water
erosion risk assessment mapping.
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