2012
DOI: 10.5923/j.ms.20120205.05
|View full text |Cite
|
Sign up to set email alerts
|

Anthropogenic Impact on the Pulicat Lagoon Monitoring with Foraminifera, East coast of India

Abstract: Coastal lagoons are well investigated areas because of their economical and ecological importance. Pulicat Lagoon system which is a store house of all resources is under great threat following the anthropogenic pollution. This complex lagoon ecosystem's surface area is about 500 sq.kms. In spite of the System's conservation statutes its structure has been degenerating rapidly because of pressures fishing, tourism and agricultural activities. Fishing production of Pulicat Lagoon System is approximately 52 tons/… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
5
0

Year Published

2015
2015
2024
2024

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 14 publications
(6 citation statements)
references
References 32 publications
1
5
0
Order By: Relevance
“…Datasets for 1996Datasets for -1997Datasets for , 1999Datasets for -2000 and 2015 are coincident to high flood events as described in the literature (Padma & Periakali, 1999; No impact zone studies, 2003; Santhanam & Natarajan, 2018); we expected that these datasets could reflect high fluctuations in the salinities between premonsoon and postmonsoon periods, corresponding to low or no entrance closures. Data for 2000-2001 and 2007-2008 reflect the periods of lean monsoon (Ramesh et al, 2001;Reddy, Jayaraju, & Reddy, 2012). Such data could be useful to indicate the carryover of salinities post the periods of low precipitation.…”
Section: Salinity Datamentioning
confidence: 99%
See 2 more Smart Citations
“…Datasets for 1996Datasets for -1997Datasets for , 1999Datasets for -2000 and 2015 are coincident to high flood events as described in the literature (Padma & Periakali, 1999; No impact zone studies, 2003; Santhanam & Natarajan, 2018); we expected that these datasets could reflect high fluctuations in the salinities between premonsoon and postmonsoon periods, corresponding to low or no entrance closures. Data for 2000-2001 and 2007-2008 reflect the periods of lean monsoon (Ramesh et al, 2001;Reddy, Jayaraju, & Reddy, 2012). Such data could be useful to indicate the carryover of salinities post the periods of low precipitation.…”
Section: Salinity Datamentioning
confidence: 99%
“…To identify the entrance statuses, we used field investigation reports (Coulthard, 2008;IOM report, 2003;Nagarjuna, Kumar, Kalarani, & Reddy, 2010;Reddy et al, 2012) as well as selected satellite imageries from the Landsat 1-5 MSS imageries with a spatial resolution of 30 m and ETM+ (NASA Landsat Program, 2013; 20 scenes) licensed for free use by USGS and NASA, as well as Google Earth imageries from 1996 to 2015.…”
Section: Precipitation and Entrance Closuresmentioning
confidence: 99%
See 1 more Smart Citation
“…Several studies across the years provide a comprehensive understanding of the multi-environmental nature of the lagoon (e.g. Kaliyamurthy 1974, Radhakrishnan 1975, Ramesh et al 2002, Shalini et al 2006, Purvaja et al 2008, Reddy et al 2012and Jayakumar et al 2013). The two major fish landing centres at Pulicat and Arambakkam that contribute significantly to the socioeconomics of the region are located on the western shores of this lagoon, which is vulnerable to sudden salinity shifts.…”
Section: Study Areamentioning
confidence: 99%
“…We averaged the observed values to obtain a representative system salinity due the event to be used for the LOICZ modelling. For the purpose of comparison, we compiled the available salinity observations from the past pre-monsoon periods for the years 1997 (Padma and Periakali 1999), 1999(Institute of Ocean Management AUC 2003(Santhanam 2009), 2007(Reddy et al 2012) and 2015 (present investigation). We derived spatial interpolation plots for six datasets of post-monsoon salinities with observations at different sites within the lagoon, for the years 1997, 1999, 2005, 2006, 2007 and 2015 using the spline interpolation algorithm of Brovelli et al (2002) in GRASS GIS environment ( Fig.…”
Section: Salinitymentioning
confidence: 99%