Subscribe to the gold package and get unlimited access to Shamra Academy
Register a new userPrediction of Spatial Distribution of Water Erosion Risk in Bhmra Basin Dam Soil using Corine Model
التنبؤ بالتوزيع المكاني لخطر الانجراف المائي لترب حوض سد بحمرة باستخدام انموذج كورين
1460
0 57
0
(
0
)
Authors
منى بركات( باحث )
Created by
Shamra Editor
Ask ChatGPT about the research
يعد الانجراف المائي احد أهم المشاكل البيئية التي تسبب تدهور التربة في مناطق الأحواض المائية في الساحل السوري . تهدف هذه الدراسة إلى تحديد التوزيع المكاني لخطر الانجراف المائي لأراضي حوض سد بحمرة ( منطقة القرداحة ) و ذلك باستخدام انموذج كورين. يعتمد انموذج كورين على حساب جميع العوامل التي تؤثر على الانجراف المائي: عامل قابلية التربة للانجراف, عامل الحت المطري ,عامل الميل, عامل الغطاء الأرضي.
Water erosion is the most serious environmental problem which cause soil degradation in watershed areas in Syria cost .for this reason, this study aimed to defined spatial distribution of water erosion risk for land Bhmra Dm basin using corine model. Corine model depend on calculating all factor that affect water erosion ,soil erosion vability ,rain erosivity ,slop and land cover.
Artificial intelligence review:
Research summary
تعتبر مشكلة الانجراف المائي من أهم المشاكل البيئية التي تؤدي إلى تدهور التربة في مناطق الأحواض المائية في الساحل السوري. تهدف هذه الدراسة إلى تحديد التوزيع المكاني لخطر الانجراف المائي في أراضي حوض سد بحمرة باستخدام نموذج كورين. يعتمد نموذج كورين على حساب عدة عوامل تؤثر على الانجراف المائي مثل قابلية التربة للانجراف، الحت المطري، الميل، والغطاء الأرضي. تم حساب هذه العوامل باستخدام تقنيات نظم المعلومات الجغرافية (GIS) وتم إعداد خرائط توضح التوزيع المكاني لخطر الانجراف. أظهرت النتائج أن 61.61% من المساحة المدروسة تقع تحت خطر انجراف شديد، بينما 17.19% تحت خطر انجراف متوسط، و20.75% تحت خطر انجراف منخفض. تبين أن الغطاء النباتي هو العامل الأكثر تأثيراً في تقليل خطر الانجراف، حيث ساهم في خفض الخطر المحتمل بنسبة 53.65%. توصي الدراسة باستخدام تقنيات نظم المعلومات الجغرافية لتقييم خطر الانجراف في مناطق أخرى وتطوير استراتيجيات لحماية التربة.
Critical review
دراسة نقدية: تعتبر هذه الدراسة مهمة جداً في مجال حماية التربة والبيئة، حيث تقدم نموذجاً علمياً لتحديد مناطق الخطر باستخدام تقنيات نظم المعلومات الجغرافية. ومع ذلك، يمكن توجيه بعض النقد البناء للدراسة. أولاً، قد يكون من المفيد تضمين مزيد من البيانات الميدانية لدعم النتائج المستخلصة من النموذج. ثانياً، يمكن تحسين الدراسة من خلال مقارنة النتائج مع نماذج أخرى لتقييم دقة نموذج كورين. أخيراً، يجب أن تتضمن الدراسة توصيات أكثر تحديداً حول كيفية تنفيذ استراتيجيات الحماية بناءً على النتائج المستخلصة.
Questions related to the research
-
ما هو الهدف الرئيسي من الدراسة؟
الهدف الرئيسي من الدراسة هو تحديد التوزيع المكاني لخطر الانجراف المائي في أراضي حوض سد بحمرة باستخدام نموذج كورين.
-
ما هي العوامل التي يعتمد عليها نموذج كورين في حساب خطر الانجراف المائي؟
يعتمد نموذج كورين على حساب عدة عوامل تشمل قابلية التربة للانجراف، الحت المطري، الميل، والغطاء الأرضي.
-
ما هي نسبة المساحة التي تقع تحت خطر انجراف شديد وفقاً للدراسة؟
وفقاً للدراسة، 61.61% من المساحة المدروسة تقع تحت خطر انجراف شديد.
-
كيف يؤثر الغطاء النباتي على خطر الانجراف المائي؟
الغطاء النباتي هو العامل الأكثر تأثيراً في تقليل خطر الانجراف، حيث ساهم في خفض الخطر المحتمل بنسبة 53.65%.
References used
AYDIN, A. and HUSEEYIN, B.Tecimen, "Temporal soil erosion risk evaluation: a CORINE methodology application at Elmalı dam watershed, Istanbul." Environ Earth Sci, 61,2010, 1457–1465
ALAADDIN YUKSEL,RECEP GUNDOGAN and ABDULLAH E.AKAY,Using The Remote Sensing and GIS Technology for Erosion Risk Mapping of Kartalkaya Dam Watershed in Kahramanmaras ,Turkey,Sensors ,ISSN ,8,2008,4851-4865
ABDURRAHIM AYDIN,HUSEYIN BARIS TECIMEN. Temporal Soil Erosion Risk Evaluation ;Acorine Methodology Application at Elmali Dam Watershed ,Istanbul Environ Earth SCI,61,2010 ,1457-1465
rate research
Read More
The aim of this research is to predict the quantities of soil lost by the water erosion in the
Al-Hawiz Dam basin area using GIS and RUSL. R factor was calculated through
matimatical equation after collecting rain data during 2008-2017 from weather
station at
Basel-Al-Assad airport .k value of each soil sampl was calculated after determination of
txture,structure,saturated hydrolic conductivity, and organic matter).a map were prepared
showed local distribution of k values .slop factor was determined as well as using DEM for
studied region, and slop map was introduced in mathematical equation through a GIS to
obtain LS map .NDV used for studied region to calculate C map.To obtain predictive map
of soil lost quantitis ,maps of LS,C,K was multiplicated with R value.
The results showed that R value in studied region 342.78 ,while k factor value was
0.7-0.28.soil with low value concentrated at medium part of studied region,whil slop
factor value was between 0 and 38.87.C factor value was 0.29 at west part and 0.98 at east
part .prediction map of lost quantites was classified in to 4 degrees according erosion risk (
very low risk ,low,medium,high .The results of soil lost quantities were classified in to 4
classes in studied region : very low( 0-5) t/h/year,low( 5-12 ) t/h/year and medium ( 12-24
t/h/year and severe in which soil loss exceeded 24 t/h/year
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
Soil water erosion is a major factor of land degradation in the coastal slopes of Syria, and in the long run represents a real threat to the environment and natural resources such as soil, water and vegetation cover.
The idea of spatial interpolation stands of great importance depending on the accuracy of
estimated (Hydrogeological) parameters of this area, which reduces excessive efforts to
reach the best Hydrogeological model of the region with as little as p
ossible, thus reducing
the overall cost of the project.
The studied area is located within the Sin plain (the southern part of the JABLEH plain).
A free layer of water, ranging between 1m and 30m in thickness.
The study relied on groundwater level data, soil thickness and type in 339 wells.
The importance of this research Lies in mapping the best spatial distribution of
characteristics using spatial statistical methods
The aim of the research is to estimate the Coefficient of Permeability of the aquifer layer
and its effective thickness using the two methods of spatial statistics methods (Kriging and
IDW) for Hydrogeological parameters in the southern part of the Jableh plain.
In this paper, we focus on the importance of conducting the necessary tests either
field or laboratory in order to obtain realistic values for soil hydrodynamic parameters
allowing the best result to simulate the actual situation of any engineering
facility.
The importance of this research highlights in earth dams and dikes which have great
importance to economic, environmental and human. It is necessary to be complete
accuracy when creating a mathematical model to study stability of these structures. From
here comes the need to calculate these parameters rather than extracted from engineering
codes, that we will use them to simulate the effect of long rainfall on the distribution of
water content in the Hweez dam soil and hence its stability. We will build a mathematical
model for dam using PCSiWaPro® depending on transition flow chart. concerning that,
hydraulic conductivity and volumetric water content in the soil are functions of pore water
pressure. These equations with their functions give a smooth transition of the studied
model where the saturated state is considered as a special case of the used equations.
Log in to be able to interact and post comments
comments
Fetching comments
Sign in to be able to follow your search criteria
