اعلانات هامة

The objective of this study is to assess the utility of spectral reflectance data as a rapid technique for predicting soil content of heavy elements. This is done through (i) correlating spectral reflectance data for estimating heavy elements using conventional methods (ii) correlating spectral reflectance data for estimating heavy elements using X-ray florescence. 

The results indicated that, soils of high content of clay, organic matter, and iron oxides exhibit high concentration of heavy elements. Also, there is a negative correlation between the concentration of heavy elements and spectral reflectance data (SR). The mathematical relations showed that the amount of energy reflected by soil particles decrease exponentially with increasing the soil content of Ni and Cr.

 This is in consistent with the high soil content of clay and iron oxides, where the heavy elements forms complexes with this contents that decreases its solubility, which leads to its accumulation in the soil. The conclusion reached is that, prediction of soil content of elements is related to the concentration of the element in the soil. This is because the Cd (with the lowest concentration in soil) was the poorest correlated element in reacting with spectral reflectance data, while Cr (with the highest concentration in soil) was the best reacted element with spectral reflectance data.

Key Words: Spectral Reflectance (SR), X-ray florescence (XRF), Soil Pollution, Heavy elements. 

 يهدف هذا البحث الى تقييم بيانات الانعكاسية  الطيفية SR كتقنية سريعة في التنبؤ عن محتوى التربة من العناصر الثقيلة .من خلال علاقات الارتباط بين قيم الانعكاسية الطيفية وتركيز العناصر الثقيلة المقدرة بالطرق التقليدية من جهة .وبين قيم الانعكاسية الطيفية وبيانات الأشعة السينية المفلورة XRF من جهة أخرى .