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Research Article
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Study on the Effect of Sewage Pollutant of Bandar Imam Petrochemical Company on Benthic Macrofauna Community Mossa Creek Using Biodiversity Indices and Bioindicators
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Taybeh Tabatabaie,
Fazel Amiri,
M.B. Nabavi,
M. Sh. Fazeli
and
M. Afkhami
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ABSTRACT
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Macro benthoses are an important part of sea-bed fauna
which include Polycheata, Decapoda and Mollusca.
Some species of this group are considered as biological indicators for
aquatic ecosystem. Macro benthos are mostly inhabitants without migration
and they can be used as indexes of ecological crises related to water.
In the present research, benthic community structure in Ghanam creek and
region of Mossa creek, is located around BIPC sewage outlet were studied,
eight station were selected and water and sediment samples were collected
in two season warm (September) and cold (February). Result of research
indicated that station of sewage outlet around had least species and higher
organic matter, on the contrary, the station far from petrochemical industry
(station located in Ghanam creek) activities had higher species diversity.
Also, present study showed that Polychaetes, reference of pollution bioindicators
had higher abundance. Consequently, macro benthic biodiversity relation
with dissolved oxyqen and percentage of organic matter in the sediment.
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How
to cite this article:
Taybeh Tabatabaie, Fazel Amiri, M.B. Nabavi, M. Sh. Fazeli and M. Afkhami, 2009. Study on the Effect of Sewage Pollutant of Bandar Imam Petrochemical Company on Benthic Macrofauna Community Mossa Creek Using Biodiversity Indices and Bioindicators. Asian Journal of Biotechnology, 1: 20-28. DOI: 10.3923/ajbkr.2009.20.28 URL: https://scialert.net/abstract/?doi=ajbkr.2009.20.28
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INTRODUCTION Creeks usually considered as most complex and riches ecosystems in aquatic ecosystem
and one of as important zones of environmental. Human activity increased in the
ecosystems (example industries settlement or entrance of pollutant sewage of urban,
industry or agriculture) to cause destroyed this ecosystem, because of high production
of organic matter and providea safety place for varied marines.
Mossa creek is a long canal with high depth, it is a tidal marine in
Iran. The creek stretches almost 56 km along the North western of the
Persian Gulf. It is connected with Mahshahr port and Shadegan watershed
(largest watershed in Iran), width of creek on opening mouth is 37-40
km. Water depth on the west is 80 m and on the East decreased (5-18 m).
Tidal wave in zone cause to water of creek mixed with Persian Gulf. Change
of water quantity within seasons is 4 m.
It contains numerous sources of organic pollution including sewage outlet
industries. The creek is of immense importance to zone for trading, commercial
development and increase petrochemical industries.
However industry location in the area to cause huge volume entrance of
industry and non-industry pollutans to this aqua ecosystem. In the present
research, environmental condition in Ghanam creek (reference of un pollution
creek) and region of Mossa creek, it is located around Bandar Iman Petrochemical
Company (BIPC) sewage outlet (reference of pollution Maximum), were studied.
Previous pollution survey in the Ghanam creek, performed by Nabavi
and Savari (2002) and Mousavi et al. (2007)
showed that, this area had moderate pollution load.
The objective of this study is to analyze the relationship between Macrobenthos
with physicochemical parameter, percentage of organic matter and Grain
Sediment Analyze (GSA) for determine pollution load. Bandar Imam Petrochemical
Company is a very important manufacture in Iran, geographical situation
and Entrance of sewage pollutant in to Mossa creek cause to increased
concentration and severity. However a severity is performance for complete
filtration of sewage base on environmental law. The company claimes, treatment
of sewage absolutely perform. This present research were studied, is the
sewage treatment or no? Is sewage effect on the environment (this research
performed by using index and macro benthos)?
MATERIALS AND METHODS
Site Selection
Mossa creek is situated in North western Persian gulf (30° 21
until 30° 31, 48° 52 until 49° 15).
Bandar Iman Petrochemical located in North of Mossa creek, it is largest petrochemical
company in Iran , this area is 450 ha (Kazemi, 2002). For the purpose of this
study, the eight stations along Mossa creek were selected. Stations 1, 2 and
5 were situated in the earlier sewage outlet of BIPC, Stations 3 and 4 located
in distance 500 m from sewage outlet and Stations 6, 7 and 8 located in Ghanam
creek (Fig. 1). The creek was sampled on the 8th September
2007 and 8th February 2008.
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Fig. 1: |
Location of the Mossa creek and BIPC. The sampling stations
are indicated |
Water Sampling
Water samples were taken in 3 bottles from each station. Point samples
in each station were determined with GPS. Samples were taken from water
near the bottom of the creek with Nansen. The Dissolved Oxygen (DO) and
temperature were measured inside by portable do-meter. pH and salinity
were measured in laboratory.
Macrobenthos Sampling
Four grab samples were collected at eight stations with Van Veen grab of
0.025 m2. Three of the samples were allocated to study the macrobenthic
and fourth was used for sediment analysis. Samples for macro benthos were processed
through a sieve with a mesh size of 0.5 mm and the retained fraction was fixed
5% formalin stained with Rose Bengal. Granulometry of the sediment was determined
using Buchanan and Kains (1984) method. The organic content
was analyzed using Elwakeel Riley method.
Statistical Analysis
The total number of species, the Shannon- Weaver diversity index was calculated
for each station by using MVSP software (Shannon and Weaver,
1963). Differences between stations were tested with one-way ANOVA and differences
between seasons were tested with t-test after verifying normality using the
Kolmogorov-Smirnov test (Zar, 1999). Correlation between
diversity index and physicochemical parameters were calculated by Pearson test.
Comparison between stations, season was performed by Duncans post hoc test.
The affinities among stations, based on the macro fauna species, were established
trough cluster analysis, using UPGMA (un weighted pair group method using arithmetic
averages), (Estacio et al., 1997; Guerra-Garcia
and Garcia-Gomer, 2005).
RESULTS AND DISCUSSION
Physicochemical Parameters
Results of ANOVA showed that no difference between stations for purpose
of temperature (p = 0.985), pH (p = 0.425) and percentage of organic mater
(p = 0.16), also t-test analysis showed that no difference between seasons
based on DO (p = 0.435) and percentage of organic matter variables (p
= 0.378). The statistical analysis indicate that the oxygen dissolved
and salinity was different between station (p≤0.05).The different
between pH, temperature and salinity was significant (p≤0.05). All
stations for cold and warm season were dominated by silty-clay (Fig.
2, 3). The cluster analysis approach between stations
indicates that the physicochemical variables were different near and far
from sewage outlet (Fig. 4).
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Fig. 2: |
Sediment granulometry measured in the eight station sampled
in the warm season |
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Fig. 3: |
Sediment granulometry measured in the eight station sampled
in the cold season |
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Fig. 4: |
Cluster analysis elaborated using the value of the physicochemical
parameters measured in station |
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Fig. 5: |
Comparison between the dissolved oxygen (mg L-1)
and total Organic Matter (OM) in sediment (%) measured in stations, in the
warm season |
Spearman analysis gives a correlation of -0.50 between oxygen concentration
and organic matter (Fig. 5, 6). Also
the correlation of 0.55 between changes in the total organic matter and
percentages of silty-clay (Fig. 7, 8).
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Fig. 6: |
Comparison between the dissolved oxygen (mg L-1)
and total Organic Matter (OM) in sediment (%) measured in stations, in the
cold season |
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Fig. 7: |
Comparison between the total Organic Matter (OM) in sediment
(%) and silty-clay grains (%) measured in the stations for warm season |
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Fig. 8: |
Comparison between the total Organic Matter (OM) in sediment
(%) and silty-clay grains (%) measured in the stations for cold season |
Macro Benthos
Figure 9 shows condition of Shannon`s index between
stations. According to statistical analysis, difference between stations
was significant (p≤0.05). Cluster analysis based on Shannon`s index
were able to discriminate between stations of near and far from sewage
outlet (Fig. 10). The Polychaetes community was discriminating
in the particular conditions (Fig. 11, 12).
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Fig. 9: |
Average of Shanon index condition in the station |
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Fig. 10: |
Cluster analysis using the Shanon index in each station |
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Fig. 11: |
No. of individuals in all stations for warm season |
A Pearson analysis gives a correlation of 0.93 between of Shannon`s index
and combination DO (Fig. 13, 14).
BIPC located near the Mossa creek and entrance sewage outlet in to this
aqua ecosystem. Sewage outlet to cause decrease dissolved oxygen, species
diversity and increase percentage of organic matter in the neighboring
stations of sewage outlet. Also according to Welch index, near stations
sewage outlet to settle in class of high load pollution (Table
1, 2).
The results of this study show that organic pollution value increase in fine
grain of sediment. Present results seem to support the review by Susana
et al. (2006) (Fig. 2, 3). In
the Mossa creek, Polychaetes turned out to be the best group to discriminate
between all station.
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Fig. 12: |
No. of individuals in all station for cold season |
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Fig. 13: |
Relation between the Shanon index and DO (mg L-1)
showed in the warm season |
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Fig. 14: |
Relation between the Shanon index and DO (mg -1)
showed in the cold season |
In most of the studies, the Polychates were referee to marine pollution, especially
to the lack of oxygen and usually discriminate among station better than other
groups of Macro benthos (Susana et al., 2006,
Guerra-Gareua and Garcia-Gomez, 2005). The results of
this research indicated that macrobenthos diversity relate with dissolved oxygen
end percentage of organic matter, the present study highlighted zones of high
and low pollution impact on the macro benthic fauna. Generally, Macrobenthos
assemblage decrease from the near sewage outlet, with the opposite pattern for
dissolved oxygen, which has led to an increase of macrobenthos in the Ghanam
creek.
Table 1: |
Welch index (1992) |
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Table 2: |
Condition of stations according to Welch index |
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Abu-Hilal (1994), Hassan et al.
(1995) and EL-Sammak (2001) established that high
level of organic pollution in Dubai creek to cause decrease dissolved oxygen
and macro benthos diversity. Johansson (1997), Flemer
(1999) and Wu (2002) to explained that, in response
to decreasing oxygen concentration, species richness and diversity both decrease
and the species composition is largely determined by the tolerance to oxygen
deficiency. The adverse biological effects on soft bottom communities are mainly
due to reduced oxygen content of the water (Saiz-Salinaz,
1997). However, the interpretation of stress due to low dissolved oxygen
is difficult because there is a lack of information about oxygen tolerances
for most macro benthic species (Dauer et al., 1993).
Consequently, the importance of oxygen in water column and percentage of organic
matter in sediment as key factors for macro faunal assemblage in sediment is
well known. Figure 15 summarizes possible outcomes under
different levels of organic matter and dissolved oxygen.
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