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Browsing by Author Saber, Mohamed

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  • Biological indicators for pollution detection in terrestrial and aquatic ecosystems

    • Authors: Zaghloul, Alaa;  Advisor: -;  Participants: Saber, Mohamed; Gadow, Samir; Awad, Fikry (2020)

  • Environmental pollution from varied sources is now deemed as one of the most serious problems everywhere. Several pollutants, however, could be perceived by certain biological indicators, each one is used to identify assured single or a category of pollutants. The current review presents the use of biotas, i.e., plants, microorganisms, and animals, to perceive ecosystems pollutants. The most significant biological indicators are presented. The plant indicators described belong to higher plants; the microbial indicators were represented by bacteria, fungi, algae, planktons, lichens, helminthes eggs and enzymes and the animal ones were earthworms, macro-invertebrates, frogs & toads, ins...
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  • Chemical indicators for pollution detection in terrestrial and aquatic ecosystems

    • Authors: Zaghloul, Alaa;  Advisor: -;  Participants: Saber, Mohamed; El-Dewany, Camilia (2019)

  • Pollution is objectionable changes in a given ecosystem trailing to potential health hazards. Assessment of pollution levels is continually recognized by several pollution indicators, biological, chemical, and/or physical. Chemical indicators always validate fair information about the evenness between ecosystem components. Chemical indicators include pH, quality criterion index, kinetics, oxidation-reduction potential, reactive carbon, total organic C, total residues, dissolved oxygen (DO), chemical oxygen demand (COD), biological oxygen demand (BOD), phosphate (P), nitrogen (N2), anhydrous ammonia (NH3), nitrate (NO3), and copper (Cu2+).
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  • Effect of contamination sources on the rate of zinc, copper and nickel release from various soil ecosystems

    • Authors: Mansour, Hesham;  Advisor: -;  Participants: Awad,, Fikry; Saber, Mohamed; Zaghloul, Alaa (2020)

  • Models incorporated modified Freundlich (MFE), Elovich, first order and parabolic diffusion (PDE) showed significant results in describing the kinetic data under Egyptian conditions. Results entailed that according to the coefficient of determination (R2) and standard error, all used models well described the desorption of Cu, Ni and Zn, the most prevalent contaminants in the trailed soil ecosystems; for example, the R2 values were higher than 0.96** for zinc desorption using MFE model. As far as the PTEs levels are considered, the highest contaminant desorption rates were recorded at Kafr-Elsheikh site, followed by Kombora, and the lowest ones were in Abo Rawash soil ecosystem. The s...
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  • Physical indicators for pollution detection in terrestrial and aquatic ecosystems

    • Authors: Zaghloul,Alaa;  Advisor: -;  Participants: Saber, Mohamed; Abd-El-Hady, Mohamed (2019)

  • Physical pollution indicators are numerical values supporting tangible perception on the state of a given aquatic or terrestrial ecosystem. Physical pollution indicators track qualitative and quantitative changes over time. Most of the physical pollution indicators are applicable in a wide variety of ecosystems from local to regional to national levels. They include temperature, color, odor, aggregate stability, available water capacity, bulk density, infiltration rate, slaking, crusts, structure, and macro-pores. Only, the most distinct and reliable physical pollution indicators with the actual wide practice were designated.