Comparison of prediction model using spatial discriminant analysis for marine water quality index in mangrove estuarine zones

Samsudin, Mohd Saiful; Azid, Azman; Khalit, Saiful Iskandar; Sani, Muhamad Shirwan Abdullah; Lananan, Fathurrahman

doi:10.1016/j.marpolbul.2019.02.045

Cited by 39 publications

(22 citation statements)

References 53 publications

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“…A similar analytical procedure in the similarity analysis was performed for the case of water samples collected in D-ASS. In addition, a discriminant analysis (DA) was applied to determine the most significant water parameters contributing to seasonal variations of the water quality in the three land use types [31]. The rainy and dry season water quality data in three land use types on S-ASS and D-ASS were the subjects for the analyses.…”

Section: Discussionmentioning

confidence: 99%

“…Three land use types at different tree age levels and 9 water quality parameters were assigned as the dependent variables and the independent and equivalent variables, respectively. DA revealed the ranking of the water quality parameters for the differences between the two seasons [31]. All statistical analyses were performed using copyrighted software Primer version 5 (Primer-E Ltd., Plymouth, UK) and SPSS version 20 (IBM Crop., Armonk, NY, USA).…”

Section: Discussionmentioning

confidence: 99%

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The Variation of Water Quality in Three Land Use Types in U Minh Ha National Park, Ca Mau Province, Vietnam Using Multivariate Statistical Approaches

Giao

Truong

2021

Water

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This study was conducted to assess the water quality affected by different land use patterns in U Minh Ha National Park, Ca Mau, Vietnam. This study determined the water quality characteristics in three land use types (Acacia hybrid, planted melaleuca cajuputi, and natural melaleuca cajuputi) at different plant ages on two acid sulfate soil layers in the rainy season (8/2018) and dry season (4/2019) using nine water quality parameters. Multivariate statistical analyses were applied to evaluate the correlation and spatial and temporal variations in the water quality. The study results showed that the water quality in S-ASS was more polluted than that in D-ASS, characterized by low pH; the EC, organic matters (BOD and COD), nutrients (N-NH4+ and N-NO3−), and metal ions (Al3+ and Fe3+) were high; and the EC, BOD, COD, Al3+, and N-NO3− were determined high in D-ASS. The NMC area was noted to have high concentrations of organic matters and nutrients, while the factors specific to acidic soil were found to be higher in the AH and PMC areas. The water quality in the rainy season tended to be more polluted than that in the dry season. The cluster analysis grouped the land use patterns on S-ASS and D-ASS in both seasons into four groups, with a clear similarity between the wet and dry seasons in the areas at various plant ages. The seasonal variations of the water quality of the three land use types were distinguished by the main parameters, including pH, EC, BOD, N-NO3−, and Al3+ (S-ASS) and EC, BOD, N-NO3−, N-NH4+, and Fe3+ (D-ASS). Therefore, there is a need for better water management measures in the rainy season and focus on the key parameters causing water quality variations in each area. The findings in this study provided important information for the future water quality monitoring for both agricultural production and conservation in the national park.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

The Variation of Water Quality in Three Land Use Types in U Minh Ha National Park, Ca Mau Province, Vietnam Using Multivariate Statistical Approaches

Giao

Truong

2021

Water

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“…The findings were presented in a box and whisker plot, which signifies the descriptive statistics of the data set (Samsudin et al, 2019a). The "stem and leaf diagram" in the box plot represents the data semi-graphically (Samsudin et al, 2019a;2019b).…”

Section: Discussionmentioning

confidence: 99%

Relationship Between Carbon Dioxide (Co2 ) and Population of Airborne Microorganisms in Cattle Farm at Ladang Pasir Akar, Terengganu, Malaysia

Nordin¹,

Azid²,

Samsudin³

et al. 2021

JSSM

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Carbon dioxide (CO 2 ) is essential for environmental balance because animals release CO 2 and then plants uptake it for photosynthesis. The aim of this study is to identify the concentration of CO 2 and microorganism population in cattle farming and to determine the relationship between these two variables. Aeroqual 500 series sensor was used to determine CO 2 concentration, while DRF e-MAS was used to detect microorganisms. Escherichia coli (E. coli) is one of the possible bacteria found in the microorganism population, and catalase tests were performed to determine this. Results showed E. Coli to be present in the microorganism population. Based on the correlation analysis, there was no relationship between CO 2 and the microorganism population in the cattle farm.

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“…The dataset, which showed different pattern within the individual AA, was discriminated and shown in the BWP as an outlier. Outlier value which exceeded three times of the box's height, was signed with a dot, star or asterisk [20] and subjected to removal. After removing the outliers, the new dataset consisting 41, 40 and 45 fish, bovine and porcine gelatines, respectively was subjected to KMO test.…”

Section: Outlier Removal By Box and Whisker Plotmentioning

confidence: 99%

Food forensics on gelatine source via ultra-high-performance liquid chromatography diode-array detector and principal component analysis

Ismail¹,

Sani

Azid

et al. 2021

SN Appl. Sci.

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This study provided a step-by-step procedure to investigate the distribution of 17 amino acids (AAs) in 50 fish, 50 bovine and 54 porcine gelatines using Ultra-High-Performance Liquid Chromatography Diode-Array Detector (UHPLC–DAD) with the incorporation of principal component analysis (PCA). Dataset pre-processing step, including outlier removal, analysis of variance (ANOVA), dataset adequacy test, dataset transformation and correlation test was performed before the PCA. The method rendered linearity range of 37.5–1000 pmol/µL and accuracy of 85–111% recovery. The bovine and porcine gelatines showed a similar ranking while the l-Alanine (Ala), l-Arginine (Arg) and l-Glutamic acid (Glu) concentrations had differed the fish gelatine from the bovine and porcine gelatines. The PCA, which explained 77.013% cumulative variability at eigenvalue of 5.436, showed AAs with strong FL in PC1 had polar and nonpolar side chains while AAs with strong FL in PC2 had polar side chain. The AAs with moderate and weak FL in PC1 had a nonpolar side chain. The AAs with strong FL of in PC1 were also the same AAs with 7, 6 and 5 strong CMs as determined in the correlation test. The second PCA showed that the l-Serine (Ser), Arg, Glycine (Gly), l-Threonine (Thr), l-Methionine (Met), l-Histidine (His) and L-Hydroxyproline (Hyp) were significant in fish gelatine; Hyp, Met, Thr, Ser, His, Gly, and Arg in bovine gelatine; and l-Proline (Pro), l-Tyrosine (Tyr), l-Valine (Val), l-Leucine (Leu), and l-Phenylalanine (Phe) in porcine gelatine. The 100% fish, bovine and porcine gelatines accommodated grouping 1, 2 and 3, respectively, which proved that AAs with strong FL (Hyp, His, Ser, Arg, Gly, Thr, Pro, Tyr, Met, Val, Leu and Phe) were the significant AAs and becomes the biomarkers to identify the gelatine source. From this study, the PCA was a useful tool to analyse a multivariate dataset that could provide an in-depth understanding of AA distributions as compared to ANOVA and correlation test.

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Comparison of prediction model using spatial discriminant analysis for marine water quality index in mangrove estuarine zones

Cited by 39 publications

References 53 publications

The Variation of Water Quality in Three Land Use Types in U Minh Ha National Park, Ca Mau Province, Vietnam Using Multivariate Statistical Approaches

The Variation of Water Quality in Three Land Use Types in U Minh Ha National Park, Ca Mau Province, Vietnam Using Multivariate Statistical Approaches

Relationship Between Carbon Dioxide (Co2 ) and Population of Airborne Microorganisms in Cattle Farm at Ladang Pasir Akar, Terengganu, Malaysia

Food forensics on gelatine source via ultra-high-performance liquid chromatography diode-array detector and principal component analysis

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