Multivariate statistical approach to identify significant sources influencing the physico-chemical variables in Aerial Bay, North Andaman, India

Jha, Dilip Kumar; Vinithkumar, Nambali Valsalan; Sahu, Biraja Kumar; Das, Apurba Kumar; Dheenan, P.S.; Venkateshwaran, P.; Begum, Mehmuna; Ganesh, T.; Devi, M. Prashanthi; Kirubagaran, R.

doi:10.1016/j.marpolbul.2014.06.007

Cited by 27 publications

(18 citation statements)

References 21 publications

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“…Mangrove ecosystem act as an important source of nutrients, organic matter and heavy metals for the adjacent coastal ecosystems and our results indicate coastal mangrove ecosystems of Andaman and Nicobar Islands abide to this ecosystem function with higher nutrient and lower metal concentration observed within the mangrove sediments. The physical parameters of temperature, salinity and pH observed in our site were like the results observed for the mangrove ecosystems in and around AI for pre-monsoon season 42,57,45,46,37 .…”

Section: Discussion;supporting

confidence: 85%

“…Though these islands are enriched with mangrove forests, most of the studies on mangroves have been focused on biodiversity assessment 40,41 42 distributions and vegetative structure 43,41 or valuation of mangrove ecosystem services 44 . Very few studies have been carried out on the nutrient concentration of mangrove sediments of Andamans, such as nitrite, nitrate and phosphate levels in the sediments of Chidiyatappu and Rangat Bay for phytoplankton productivity estimates of mangrove ecosystem 42 ,whereas nitrite, nitrate, ammonium and phosphate concentrations of mangrove sediments and water column of Aerial Bay and Chidiyatappu Bay were reported for determining water quality of mangrove ecosystems 37,45 .…”

Section: Introductionmentioning

confidence: 99%

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Andaman mangrove sediments: source of nutrients and sink of heavy metals

Mishra

Manish

2018

Preprint

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Andaman Islands (AI) of India is a biodiversity hotspot of mangroves but biogeochemical dynamics of AI is less understood. We collected sediment samples of four AI mangrove sites and one site without mangroves for nutrients and trace metal analysis. Samples were collected from each site at the inlet of seawater (Zone A) and the other 500m into the mangrove creek (Zone B). Nutrients (sulphate, ammonium, nitrite and nitrate) levels, organic matter (OM) and carbon content were higher at Zone B of mangrove ecosystem due to the higher OM content from mangrove leaf litter decomposition and microbial degradation. Metal (Pb &Cd) content of zones with and without mangroves were similar and Igeo values indicated moderate contamination of mangrove zones of AI due to lack of anthropogenic pollution. Our results suggest mangrove ecosystems of AI are uncontaminated from heavy metals and are source of nutrients to the oligotrophic coastal ecosystems of Andaman Sea.

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Section: Discussion;supporting

confidence: 85%

Section: Introductionmentioning

confidence: 99%

Andaman mangrove sediments: source of nutrients and sink of heavy metals

Mishra

Manish

2018

Preprint

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“…For example, water quality in Langat River (Malaysia) was mainly influenced by the intrusion of saltine water, agricultural and industrial pollution, and geological weathering [20]. Major pollution sources in Aerial Bay consisted of rivulet flux, surface run-off, prevailing biological processes and tidal flow [22]. It was found that the type of source was mainly determined by the selected variables of water quality.…”

Section: Source Identificationmentioning

confidence: 99%

“…Thus, in recent years, there has been an increasing interest by researchers in analyzing such complex data using robust mathematics and statistical techniques, such as fuzzy comprehensive evaluation method (FCA), cluster analysis (CA), discriminant analysis (DA), and principal component analysis/factor analysis (PCA/FA), and absolute principal component score-multiple linear regression (APCS-MLR) [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28]. A literature review of these methods is described below.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, Tanriverdi et al [21] applied PCA/FA to analyze and assess the surface water quality of Ceyhan River and suggested that the stations near cities were strongly affected by household wastewater, while the other stations were influenced by agricultural facilities. Moreover, Jha et al [22] identified major pollution sources influencing the physico-chemical variables in Aerial Bay using the FA technique, which included rivulet influx into the bay, land run-off, prevailing biological processes and tidal flow.…”

Section: Introductionmentioning

confidence: 99%

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Spatio-Temporal Variations and Source Apportionment of Water Pollution in Danjiangkou Reservoir Basin, Central China

Chen

Lan

Zhang

2015

Water

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Understanding the spatio-temporal variation and the potential source of water pollution could greatly improve our knowledge of human impacts on the environment. In this work, data of 11 water quality indices were collected during 2012-2014 at 10 monitoring sites in the mainstream and major tributaries of the Danjiangkou Reservoir Basin, Central China. The fuzzy comprehensive assessment (FCA), the cluster analysis (CA) and the discriminant analysis (DA) were used to assess the water pollution status and analyze its spatio-temporal variation. Ten sites were classified by the high pollution (HP) region and the low pollution (LP) region, while 12 months were divided into the wet season and the dry season. It was found that the HP region was mainly in the small tributaries with small drainage areas and low average annual discharges, and it was also found that most of these rivers went through urban areas with industrial and domestic sewages input into the water body. Principal component analysis/factor analysis (PCA/FA) was applied to reveal potential pollution sources, whereas absolute principal component score-multiple linear regression (APCS-MLR) was used to identify their contributions to each water quality variable. The study area was found as being generally affected by OPEN ACCESSWater 2015, 7 2592 industrial and domestic sewage. Furthermore, the HP region was polluted by chemical industries, and the LP region was influenced by agricultural and livestock sewage.

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Evaluation of surface water and sediment quality in Chicalim Bay, Nerul Creek, and Chapora Bay from Goa coast, India—a statistical approach

Shenai-Tirodkar

Gauns

Ansari

2016

Environ Monit Assess

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To better understand the spatial and temporal variation in surface water and sediment quality, parameters were evaluated from the three sites Chicalim Bay (CB), Nerul Creek (NC), and Chapora Bay (ChB) along the Goa coast, which has major oyster beds. Multivariate analysis such as cluster analysis (CA), Box-Whisker plot (Box plot), and principle component analysis (PCA) revealed that nitrate (NO3-N), nitrite (NO2-N), phosphate (PO4-P), particulate organic carbon (POC), total suspended solids (TSS), dissolved oxygen (DO), and phaeopigments are the responsible parameters for spatio-temporal variability among the studied sites. Results showed an elevated level of ecotoxicological hazard at CB while moderate toxicological risks were observed for organisms at NC. In contrast, ChB was considerably pristine compared with other two sampling sites. Results of present study showed marked dominance of nutrients, phaeopigments, POC, and TSS at CB and NC. The increased levels of these parameters are attributed to the anthropogenic activities which may cause potential risk to humans via consumption of oysters. Therefore, we suggest monitoring heavy metal concentrations in tissue of commercially important oyster species, and their ambient environment (water and sediment) from these estuaries is necessary to create a comprehensive pollution database.

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Multivariate statistical approach to identify significant sources influencing the physico-chemical variables in Aerial Bay, North Andaman, India

Cited by 27 publications

References 21 publications

Andaman mangrove sediments: source of nutrients and sink of heavy metals

Andaman mangrove sediments: source of nutrients and sink of heavy metals

Spatio-Temporal Variations and Source Apportionment of Water Pollution in Danjiangkou Reservoir Basin, Central China

Evaluation of surface water and sediment quality in Chicalim Bay, Nerul Creek, and Chapora Bay from Goa coast, India—a statistical approach

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