Assessment of mangrove water quality by multivariate statistical analysis in Suppa coast, South Sulawasi, Indonesia

Mohd. Ekhwan Toriman, Amal Arfan, Z. Yusop

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Different statistical analysis such as, ANOVA, principal component analysis and multidimensional scale plot were employed to evaluate the trophic status of water quality for three monitoring stations. The present study was carried out to determine the physicochemical parameters of mangrove water of Suppa coast, Pinrang South Sulawesi, Indonesia during September 2011 - April 2012. Seasonal variations of different parameters investigated were as follows: salinity (26.78 - 31.11 ppt), water pH (8.10 - 8.15), substrate pH (5.81 - 6.041), water temperature (29.22 - 30.92), dissolved oxygen (3.37 - 3.89 mg/l), biochemical oxygen demand (2.65 - 4.46) and turbidity (5.44 - 10.67 NTU). Salinity, BOD and turbidity indicated a correlation at P<0.05. Based on the test ANOVA, salinity, water pH, water temperatur, DO, BOD and turbidity displayed significant seasonal variation (P< 0.05), while substrate pH displayed significant seasonal variation (P> 0.05). PCA and MDS identified the spatial and temporal characteristics of trophic stations and showed that the salinity, BOD and turbidity may be major driving factors for deteriorating trophic status of water quality in the Suppa mangroves.

Original languageEnglish
Pages (from-to)1301-1310
Number of pages10
JournalWorld Applied Sciences Journal
Volume28
Issue number9
DOIs
Publication statusPublished - 2013

Fingerprint

mangrove
turbidity
statistical analysis
trophic status
water quality
salinity
coast
biochemical oxygen demand
dissolved oxygen
principal component analysis
water temperature
seasonal variation
substrate
water
parameter
station
monitoring station

Keywords

  • Mangrove
  • Multivariate analysis
  • Physicochemical parameters
  • Suppa Coast
  • Water quality

ASJC Scopus subject areas

  • General

Cite this

Assessment of mangrove water quality by multivariate statistical analysis in Suppa coast, South Sulawasi, Indonesia. / Toriman, Mohd. Ekhwan; Arfan, Amal; Yusop, Z.

In: World Applied Sciences Journal, Vol. 28, No. 9, 2013, p. 1301-1310.

Research output: Contribution to journalArticle

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