A Brief Survey of Assessment Models to Predict Stress Level of Heavy Metals in Soil

Abstract

Soil is a major and important natural resource, which not only supports human life but also furnish commodities for ecological and economic growth. Ecological risk has posed a serious threat to the ecosystem by the degradation of soil. The high-stress level of heavy metals like chromium, copper, cadmium, etc. produce ecological risks which include: decrease in the fertility of the soil; reduction in crop yield & degradation of metabolism of living beings, and hence ecological health. The ecological risk associated, demands the assessment of heavy metal stress levels in soils. As the rate of stress level of heavy metals is exponentially increasing in recent times, it is apparent to assess or predict heavy metal contamination in soil. The assessment will help the concerned authorities to take corrective as well as preventive measures to enhance the ecological and hence economic growth. This study reviews the efficient assessment models to predict soil heavy metal contamination.

Applicability of the equilibrium adsorption isotherms and the statistical tools on to them: a case study for the adsorption of fluoride onto Mg-Fe-CO3 LDH

“…Additionally, in terms of pollution management, adsorption has been acknowledged for its adaptability and broad applicability [5][6]. There are a variety of adsorbents that can be employed for adsorption, including alumina and bauxite [7], silica gel [8], zeolites [9], activated carbon [10], anionic clays [11][12][13], and various other materials. The type of adsorbent that is used will depend on the type of contaminant that needs to be removed.…”