Simple Search:

Sediment quality index in mangrove forest


Citation

Ahmad Mustapha, and Gandaseca, Seca and Ahmad Hanafi, and Siti Nurhidayu, and Mohammad Roslan, and Khan, Waseem and Nuruddin, Ahmad Ainuddin (2017) Sediment quality index in mangrove forest. Pertanika Journal of Scholarly Research Reviews, 3 (3). pp. 41-50. ISSN 2462-2028

Abstract / Synopsis

The objectives of this review are to determine the types of indices to use, to assess the current sediment quality index (SQI) of a mangrove forest and to select the appropriate index to describe the mangrove sediment quality index. Amongst the many indices considered in this review are the enrichment factors (EFs), the geo-accumulation index (Igeo), the pollution load index (PLI), the marine sediment pollution index (MSPI) and sediment quality index (SQI). The different indices give diverse perspectives of the status of mangrove sediment quality. This review also highlights the appropriate parameters that need to be used in assessing sediment quality, such as the physical, chemical and biological properties. As the comparison review, the sediment quality can be utilized for Mangrove quality index (MQI) development like to assess the heavy metal, complete laboratory parameters and a classification following the Interim Sediment Quality Guidelines ISQG, PCA and HACA. For the heavy metal content of sediment, the suggested parameters are Pb, Zn, Cu, Co and Mn. Lastly, for the indices, the enrichment factor (EFs), geo-accumulation index (Igeo), pollution load index (PLI) and marine sediment pollution index (MPSI) are used in develop SQI on mangrove forest.


Download File

[img]
Preview
PDF (Abstract)
Sediment quality index in mangrove forest.pdf

Download (35kB) | Preview

Additional Metadata

Item Type: Article
Divisions: Faculty of Forestry
Institute of Tropical Forestry and Forest Products
Publisher: Universiti Putra Malaysia Press
Keywords: Indices; Mangrove forest; Parameters; Sediment quality index
Depositing User: Nabilah Mustapa
Date Deposited: 24 Jan 2018 06:27
Last Modified: 24 Jan 2018 06:27
URI: http://psasir.upm.edu.my/id/eprint/58635
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item