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CHAPTER III
TRACE METALS
3.1 INTRODUCTION
Heavy metals are metallic elements which have high atomic weight and have
much higher density at least 5 times than that of water. Heavy metals include most of
the metals with atomic number greater than 20. The expression ‘Trace elements’ is
applied to designate the heavy metals which occur in small concentrations in the
natural and biological systems. Heavy metal compounds are water soluble, non-
biodegradable toxic pollutants. The untreated industrial effluents which directly
converse with water bodies consist of metals like copper, zinc, lead, mercury, iron,
manganese and chemicals like acids and alkalis (Southwick, 1976).Trace metals
associated with aqueous systems and their concentrations under different conditions
were investigated by several researchers. Of the various pollutants, heavy metals form
an important toxic substance released into the aqueous ecosystems from industrial and
sewage wastes. Heavy metals are inorganic elements essential for plant growth in
traces or very minute quantities. They are toxic and poisonous in relatively higher
concentration. The common sources of heavy metals are from dead and decomposing
vegetation, animal matter, wet and dry fallouts of atmospheric particulate matters and
from man’s activities. Heavy metals in the aquatic environment exist in sediment and
suspended particulate. They are stable elements and, they cannot be metabolized by
the body and are bio-accumulative and passed up the food chain to the higher animals
in the food chain. There are over 50 elements classified as heavy metals but only 17
of them are considered to be both very toxic and relatively accessible. In India, water
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sources are polluted approximately 20% by industrial effluents and the rest by
untreated sewage (Sabata et al., 1995). They are highly toxic and can cause damaging
effects even at very low concentrations. Increasing urbanization has also increased the
levels of trace metals, especially heavy metals in water ways.
The growth of science and technology over the world has led to the
establishment of various industries and helped industrial, technological and
agricultural development of many nations. As a result, pollution of our environment
with waste generated from these industries has become a problem of major
environmental concern. Heavy metals pollution is one of these problems because
these metals tend to persist in nature, and are non-biodegradable, highly toxic and
tend to accumulate causing different health problems to plants, animals and humans.
(Ceribasies and Yetis 2001). In recent years there has been an increasing interest in
trace metal concentration in estuaries, rivers, lakes and the path way by which they
are introduced into the system. Though metals have been used since the dawn of
civilization, the use of metal has increased considerably with the phenomenal growth
of industries. The increased use of metals has resulted in the wide spread
contamination of the environment.
These wastes affect the physico-chemical quality of water, making it unfit for
use of livestock and other organisms (Diwedi et al., 2002).The metal ions are
abundant in nature and readily available as soluble species. The role of metal ions in
the living systems follows the pattern of the availability and abundance of such metals
in nature (Vahrenkamp, 1973, Williams 1967). Evidences show that no organic life
can develop and survive without the participation of metal ions. To facilitate life
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processes the living organisms including man require many metals and hence many of
the metals are essential for all life forms. As heavy metals cannot be degraded, they
are continuously being deposited and incorporated in water, sediment and aquatic
organisms. (Linnik and Zubenko., 2000). Contaminated sediments can threaten
creatures in the benthic environment, exposing worms, crustaceans and insects to
hazardous concentrations of toxic chemicals. Some kinds of toxic sediments kill
benthic organisms, reducing the food available to larger animals such as fish.
Some contaminants in the sediment are taken up by benthic organisms in a
process called bio-accumulation. When larger animals feed on these contaminated
organisms, the toxins are taken into their bodies, moving up the food chain in
increasing concentrations in a process known as biomagnifications. As a result, fish
and shellfish, water-fowl, and fresh-water and marine mammals may accumulate
hazardous concentrations of toxic chemicals. Contaminated sediments do not always
remain at the bottom of a water body. Anything that stirs up the water such as
dredging, can resuspend sediments. Resuspension may mean that all of the animals in
the water, and not just the bottom dwelling organisms, will be directly exposed to
toxic contaminations.
Different aquatic organisms often respond to external contamination in
different ways, where the quantity and form of the element in water, sediment or food
will determine the degree of accumulation. The region of accumulation of heavy
metals within fish varies with route of uptake, heavy metals, and species of fish
concerned. Their potential use as biomonitors is therefore significant in the
assessment of bioaccumulation and biomagnifications of contaminants within
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ecosystem. Many dangerous chemical elements, if released into the environment,
accumulate in the soil and sediments of water bodies. The lower aquatic organisms
absorb and transfer them through the food chain to higher trophic levels, including
fish. Under acidic conditions, the free divalent ions of metals may be absorbed by fish
gills directly from the water.
Hence, concentrations of heavy metals in fish are determined by the level of
pollution of the water body. Chemical elements are accumulated in the sediment, thus
soil or sediment can become a secondary source of heavy metal pollution (Abida
Begum et al., 2009). The heavy metals in the brackish water phase generally deposit
on the sediment bed or remain in dissolved state in the water column, depending on
the nature of the chemical species which are influenced by factors like aquatic
salinity, pH etc (Chakraborty et al., 2009). Thus the study of toxic and trace metals in
the environment is more important in comparison to other pollutants due to their non-
degradable nature, accumulation properties and long biological half lives
(Sadasivan and Tripathi.,). Heavy metal toxicity can result in damaged or reduced
mental and central nervous function, lower energy levels, and damage to blood
composition, lungs, kidneys, lever and other vital organs. Long-term exposure may
result in slowly progressing physical, muscular and neurological degenerative
processes that mimic Alzheimer’s disease, Parkinson’s disease, muscular dystrophy
and multiple sclerosis. Allergies are not uncommon and repeated long-term contact
with some metals or their compounds may even cause cancer (International
Occupational Safety and Health Information centre 1999).
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The association of symptoms indicative of acute toxicity is not difficult to
recognize because the symptoms are usually severe, rapid in onset, and associated
with a known exposure or ingestion cramping, nausea and vomiting, pain, sweating,
headaches, difficulty in breathing, impaired cognitive, motor and language skills,
mania and convulsions. The symptoms of chronic exposure are easily recognized;
however they are very similar to symptoms of other health conditions and often
develop slowly over months or even years. Lead and Mercury exact their most
devastating toll on the developing brain. Children with above average mercury
exposures have learning difficulties. The metals introduced into the system do not
remain in water column. Dissolved metallic ions get precipitated or adsorbed by
suspended particulate matters. Trace metals transported by rivers to the coastal and
estuarine system are in dissolved, colloidal and particulate forms. The magnitude of
the problems associated with chemical discharges into sea and river came with the
diagnosis of Minamata and Itai-Itai diseases due to mercury (Irukayama et al., 1961)
and Cadmium (Kobayashi, 1970) poisoning respectively.
Copper compounds are used in fungicides, insecticides and in fertilizers as a
nutrient to support growth. Copper is essential for proper functioning of enzymes such
as superoxide dismutase, ceruloplasmin, cytochrome-c oxidase, tyrosinase,
monoamine oxidase. The lethal dose of copper lies between 43 and 400mg of copper
(II) per kg body weight. Maximum contaminant level goals from Safe Drinking Water
Act 1974, says 1.3 mg/l or 1.3ppm is the maximum permissible limit for copper in
fresh water.
Zinc is an essential and beneficial element for human beings. Zinc acts as
Levis acid catalyst in all life processes. Meat and fish provide the best sources of zinc.
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It is a vital component of many metallo-enzymes such as carbonic anhydrase which
regulates CO2 exchange (Shukla et al., 1992). Zinc may also be involved in stress
response by influencing glucose metabolism. It is a very important element in the
reproductive cycle of species. The most important sources of zinc in ground water are
discharge of smelter slag; mine tailing, coal and bottom fly ash. Concentration of zinc
beyond the permissible limit in water may create opalescent state and develop a
greasy film on boiling (Shrivastava, 2010). Zinc chloride can cause nose and throat
irritation, cough, chest pain and fever (ITII, 1998). However above 5 mg/l causes
bitter taste to water (Schenker et al., 1981). High dose of zinc in water is also toxic to
plants. Zinc has many biological functions, the best known being that of a cofactor in
the enzyme carbonic anhydrase. Excessive studies have been carried out on the uptake
of Zn by marine organisms. Some species take up rapidly several thousand times the
concentration of that of the surrounding sea water. There is a little knowledge of the
form in which Mn and Zn occur in sea water or in which they are utilized by
organisms. An understanding of the limiting effects of these elements on growth in
the sea and the mechanism of geochemical deposition requires identification of the
chemical forms and the total amounts present.
Iron is the fourth abundant transition element on earth. It can enter into a water
system by leaching natural deposits and acidic mine drainage. Water containing iron
greater than 2 mg/l causes staining of clothes, corrosion to plumbing works, gives
odour to drinking water, imparts unpleasant bitter astringent taste to water and
encourages the growth of iron-bacteria (Chaturvedi et al., 1999). Iron in trace quantity
is essential for nutrition. Iron deficiency leads to anemia and hence larger doses are
taken for therapeutic reason. Iron is important for cell respiration, reduction of nitrate
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and sulphate in nitrogen assimilation (Tandon, 1993). The adult daily requirement of
iron is 1 to 2 mg.
The weathering of iron and manganese bearing minerals and sewage effluents
are the main sources of iron and manganese content in water (Berner et al., 1987).
Manganese ion is likely to be related from minerals along with Fe2+
(Liprot, 1989).
Manganese is dissolved from shale and sand stone. It is an essential trace nutrient for
plants and animals. Manganese is important for nitrogen metabolism and CO2
assimilation (Tandon, 1993). WHO (1984) estimates an average daily requirement of
3 to 5 mg for normal physiological function. The relative concentrations of these
elements in ground water are controlled by the solubility of their sources (Mahan,
1966). Manganese deficiency is characterized by defective growth and abnormalities
in mammals. Measurements of the concentration of Manganese in the overlaying sea
water will help to explain the source of origin of the concentration of Mn in deep
ocean sediments. Trace elements are probably precipitated to at the bottom through
chemical and biological processes. The wide distribution of Mn in biological
materials indicates that it is necessary for biological functions, (Harvey, 1955).
Nickel is a metal of wide spread distribution in the environment: there are at
most 100 minerals of which it is an essential constituent and has many industrial and
commercial uses. Nickel and nickel compounds belong to the classic noxious agents
encountered in industry but are also known to affect non-occupationally exposed
individuals. The general population may be exposed to nickel in the air, water and
food (Cempel, Nickel 2006). Inhalation is an important route of occupational
exposure to nickel in relation to health risks. Most nickel in the human body
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originates from drinking water and food; however, the gastro intestinal route is of
lesser importance, due to its limited intestinal adsorption (WHO/UNEP, 1989). The
toxicity and carcinogenicity of some nickel compounds is found (in the nasal cavity,
larynx and lungs) in experimental animals, as well as in the occupationally exposed
population are well documented.
Lead is one of the oldest metals known to man and is discharged in the surface
water through paints, solders, pipes, building material, gasoline etc. Lead is a well
known metal toxicant and it is gradually being phased out of the materials that human
beings regularly use. Combustion of oil and gasoline account for greater than 50% of
all anthropogenic emissions and thus form a major component of the global cycle of
lead. Atmospheric fallout is usually the most important source of lead in fresh water
(Ayele et al, 1993). The excess of lead content is also due to the runoff from
agricultural fields where phosphorus fertilizers are applied, in which lead is one of the
impurities (Ramachnadra, 2006). Lead salts enter the environment through the
exhaust of cars as particulates and the larger particles will drop to the ground
immediately. The smaller particles will travel a longer distance through the air and
remain in the atmosphere. When it rains, part of this lead will fall back on earth and
this Pb-cycle resulted from human production is more extended than the natural Pb-
cycle (Edwards 2010). Lead poisoning has various long-term negative health effects.
It is important to identify the sources of such pollution and to devise methods to
eliminate the contributing factors. Lead content in water as per various surveys and
investigations conducted by organizations such as “Quality Council of India”, shows
the presence of lead in water in India. The WHO standards for lead content in water
should be less them 10ppb.
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Surface waters are sinks for heavy metals that continuously wash off rocks and
soils that are directly exposed to surface waters. The common sources of heavy metals
are from dead and decomposing vegetation, animal matter, wet and dry fallouts of
atmospheric particulate matters and from man’s activities. The role of trace metals in
biochemical life processes of aquatic plants and animals and their presence in trace
amounts in aquatic environment are essential. However, at high concentrations, these
trace metal become toxic. Heavy metals in the aquatic environment exist in sediment
as suspended particulate. In the present study, an effort has been made to assess the
extent of pollution in the few fresh water tourist spots and few coastal tourist areas of
Kanyakumari District of Tamil Nadu. The trend of heavy metal pollution in
Kanyakumari District is on the increase day by day. As the inhabitants of
Kanyakumari District depend on the river system for irrigation, drinking, bathing and
other requirements, an environmental monitoring particularly in relation to chemical
pollutants becomes highly imperative. The water and soil samples collected from
different stations were analyzed to find out the concentration of copper, iron, nickel,
zinc, manganese, lead, chromium, mercury and cadmium.
3.2 REVIEW OF LITERATURE
There is voluminous accumulation of literature on the toxicity of heavy metals
in fresh water. Toxic chemicals attack the active sites of enzymes and inhibit essential
enzyme function (De, 1994). Lot of literature are available in the detailed
investigations of heavy metal contamination in the groundwater samples and their ill-
effects on humans. Heavy metal poisoning has been reported to give rise to a quite
number of chemical syndromes. The contribution of Brooks et al. (1967) was
noteworthy in the field of methodology development for the study of heavy metal
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distribution in water and biota.Rehina et al. (1989) compared the water quality of
Kuttiadi river basin and Mananchira pond and stated that iron and aluminum in
Kuttiadi and aluminium in Mananchira exceeded the permissible limit and reported
that water from Kuttiadi river was not ideal for drinking water. Ouseph and Nair
(1989) carried out their work in Cochin estuary and reported the concentration of
dissolved and particulate heavy metals and its relation with salinity and they reported
higher concentrations of heavy metals during premonsoon season. Tarvainen (1997)
noted the increase in concentrations of cadmium, arsenic, chromium, zinc and nickel
than copper and reported the high concentration of lead and manganese in the small
lakes than in the stream.
Alain et al. (1994) in his work on Lot rivers of south western France
generalized that the river water was significantly contaminated with zinc, lead and
cadmium at low concentration. The physico-chemical and biological impact of rubber
factory effluents was assessed by Thampi Jayaraj (1996) and he reported that the
concentrations of heavy metals like copper, zinc, iron and manganese were found to
be high in Pazhayar river at Keeriparai, a high land region.
Rashmi and Jain (1998) investigated heavy metal contamination in
Kerwandam water at Bhopal and found that the presence of iron and lead were more
than the permissible limit which may be due to acid battery manufacturing industries,
lead bearing paints and municipal wastes in and around the area. Occurrence of heavy
metal in lentic water of Gwalior region has been calculated by Kaushik et al. (1991).
Seasonally lowest and highest values of all the parameters (except arsenic) were
recorded during summer and in rainy seasons. They explained that the values of all
the heavy metal concentrations were found to be below the limit.
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Evans et al. (1973) studied the release of trace metals to the overlying water
column due to desorption process. Coombs (1975) discussed the significance of multi
element analysis in metal pollution studies. Goyal et al. (2004) analysed metal content
in drinking water samples from Aligarh District. The chemistry of heavy metals and
their influence on the chemistry of suspended particles in the Mediterranean Sea was
reported by Chesselet et al. (1979). Their report strongly supported the assumption
that the solubility of zinc, cadmium, copper and nickel are greatly enhanced and
controlled by the formation of bisulphide and polysulphide complexes.
Variations in chemical forms of iron, manganese and zinc in the suspended
sediment were investigated by Schoer et al. (1983). Heavy metals play an important
role in the environmental pollution (Moore et al., 1984). Pragatheeswaran et al.
(1986) reported increased metal concentration in coastal areas and this was due to the
discharge of agricultural and domestic wastes. Industrialization, especially industries
located near the river and coastal areas, poses a threat by the discharged effluents
thereby affecting the quality of groundwater (Goyal et al., 2004).
Many studies relating to the toxicity of heavy metals have been reported from
India. ITII (1988) emphasized the ill-effects of zinc in Toxic and Hazardous Industrial
Chemicals Safety manual for Handling and Disposal. Sankaranarayanan et al. (1998)
observed high concentrations of copper and zinc during summer and lowest during
monsoon in Cochin backwaters.
Gupta et al. (2012) studied the presence of copper, zinc and iron in water of
the Bawalis. Rehina et al. (1989) compared the water quality of Kuttiadi river basin
and stated that iron and aluminium exceeded the permissible limit and reported that
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water from Kuttiadi River was not fit for drinking. Tarvainen (1997) noticed high
concentrations of cadmium, arsenic, chromium, zinc, nickel, copper, lead and
manganese in small lakes than in the streams. Heavy metals indicate the lack of
uniform distribution of metals within the water sample. A similar variation of this
magnitude has also been reported by Obodo (2002) in the bioaccumulation of heavy
metals in fishes from Anambra River. Abulude et al. (2003) in the determination of
trace elements in different water samples in Nigeria and Obodo (2004) in the
bioaccumulation of heavy metals in fish from the River Niger also cited the same
explanation. Adeyeye et al. (2002) in their studies on assessment of physico-chemical
status of a textile industrial effluent and its environment pointed that low degree of
hardness of water encouraged the dissolution of heavy metals.
3.3 MATERIALS AND METHODS
Grab water samples were collected for analysis from all study areas in 1.5
litre, polyethylene bottles, which were pre-washed with 10% nitric acid and de-
ionized water. Before sampling, the bottles were rinsed at least three times with water
from the sampling site. The bottles were immersed to about 20cm below the water
surface to prevent contamination of heavy metals from air. All water samples were
immediately brought to the laboratory where they were filtered through Whatman No:
41 filter paper. The samples were acidified with 2ml concentrated Nitric acid to
prevent precipitation of metals, reduce adsorption on the walls of containers and to
avoid microbial activity. Then, water samples were stored at 4°C until the analysis.
Before analysis the sample is well mixed and 100 ml aliquot is taken in a beaker or
flask. 5ml of redistilled HCl is added. The sample is heated to near boiling for 15
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minutes and then filtered. The volume of the filtrate is made up to 100ml with
distilled water and subsequently analysed by A.A.S.
3.4 RESULT AND DISCUSSION
Organic manures, municipal wastes and some fungicides often contain high
concentrations of heavy metals. Soil receiving repeated applications of organic
manures, fungicides and pesticides have exhibited high concentration of extractable
heavy metals which subsequently increase their concentration in runoff. While falling
as rain, water picks up small amounts of gases, ions, dust and particulate matter from
the atmosphere. These impurities may give water a foul taste, colour, odour,
corrosiveness, staining etc. The toxicity of metals is dependent on their solubility
which in turn depends on pH and the presence of different types of anions and cations.
Moreover the many factors affect the concentrations, such as: the flow of dredged
materials from upper regions of the river, dilution and increase of water flow, direct
drainage from farmlands, factories. Sewage disposal, plants, dissolution of sediments,
increase in number of phytoplankton in water, bioaccumulation, chemical adsorption
on sediment and complexes with organic matter.
3.4.1 Copper
The results obtained for monthly variation of dissolved copper at stations
Kalikesham, Tirparapu, Sucindram, Kanyakumari, Chothavilai and Muttom during
the period of study are presented in table 3.1. The longitudinal variations of copper,
the annual mean of copper and its seasonal variation are graphically represented in
figure 3.1a, 3.1b and 3.1c respectively.
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The levels of copper in almost all the stations were within the limit of 1 mg/l
permitted by WHO for drinking water. The maximum value of copper at Kalikesham
was 0.9 mg/l (January 2012), Tirparapu 1.22 mg/l (May 2012), Sucindram 1.67 mg/l
(April 2012), Kanyakumari 0.138 mg/l (December 2011), Chothavilai 0.072 mg/l
(October 2011), Muttom 0.072 mg/l (March 2012, April 2012). The highest value
throughout the study period was found at Sucindram 1.67 mg/l (April 2012) and the
lowest value was recorded at Chothavilai 0.012 mg/l (August 2012). The highest
values of Tirparapu and Sucindram exceeded the WHO permissible limit of 0.5-1
mg/l. Annual mean was found maximum at Sucindram, 0.505 mg/l and the minimum
was found at Chothavilai, 0.045 mg/l. In the premonsson season the maximum was
observed at Sucindram 1.67 mg/l (April 2012) and the minimum was observed at
Chothavilai with 0.029 mg/l (May 2012). In the post monsoon season the maximum
was observed at Kalikesham 0.9 mg/l (January 2012) and minimum was observed at
Muttom 0.015 mg/l (October 2012). During the monsoon the maximum was observed
at Sucindram, 0.52 mg/l (September, 2012) and minimum was observed at
Chothavilai, 0.012 mg/l (August 2012).
Naturally copper occurs in most natural waters at low levels. Presence of high
concentration of copper in water gives disagreeable taste to the water (Manivasakam,
1996). Increase in concentrations of copper in natural system may be due to the
sources such as domestic and industrial wastes and land runoff. Although the
suspended particles contain a large fraction of copper (Troup et al, 1975). The
significance of the particulate fraction with rest of copper cycling is small, since much
of the copper remains fixed in a crystalline form. In aqueous system, the particles of
copper are in the form of Cu(OH)2 and Cu(OH)Cl. Shuman et al (1977) suggested
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that in fresh water system copper is complexed with dissolved organic matter. Kumari
Nithi et al (2007) reported 0.3mg/l of dissolved copper in the ponds of Jharta Town
Dhanbad. Copper in water of Bawalis was found in the range of 0 mg/l to 3.176 mg/l
(Gupta et al., 2012). In general, the value of dissolved copper is high in fresh water
zone, where addition of more fresh water enhanced the copper content. The present
study registered a low value of dissolved copper in saline water which is 0.012 mg/l at
Chothavilai (August 2012) to 0.138 mg/l at Kanyakumari (December 2011) than fresh
water which is 0.02 mg/l at Thirparpu (October 2012) to 1.67 mg/l. at Sucindram
(April 2012). This coincides with the findings of Turekian (1971) and Rema Devi
(1994). The lower values in the saline water may be due to the transfer of metallic
copper into its particulate during mixing with saline water. Nair (1997) reported the
inverse relation of dissolved copper with salinity.
In the present study, the dissolved copper content was high during the pre
monsoon season and low during monsoon. Highest value was reported in Sucindram
0.94 mg/l (May 2012) and that might be due to stagnation and evaporation. Ouseph et
al (1989), Shamin Ahmad et al (1996) and Sankarnarayanan et al (1998) reported the
same at Cochin estuary, freshwater ponds and Cochin back waters respectively.
Corrosion of metallic pipes and use of excess fungicides might be an source of copper
in fresh water. Similar findings were reported by Gupta et al (2009). The river in
particular is stagnant in lots of places.
Copper in the river water had positive correlation with Mg, salinity, Fe, Ni and
Zn during monsoon and post monsoon seasons. The same was reported by Kataria et
al (2012). In the present investigation, the riverine stations had high level of copper
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concentrations. Copper anamolies in streams can be partly by the areas of arable land
in the catchment area. Clay deposits have higher copper content than coarser soil.
Copper enriched fertilizers applied to the fields also increased copper content
(Kauranne et al 1992). The river bank soil was clayey and coastal soil coarser.
Throughout the study the copper content in Kalikesham was well within the range of
0.5 to 1.0 mg/l for uncontaminated fresh water and 0.12 mg/l to 0.85 mg/l where clay
deposits are there (Moore et al 1984). In the saline water stations very low copper
concentration were recorded. This is because of the salinity in sea water, (Rema Devi,
1994). Sholkovitz (1976) found that 40% of total dissolved copper was trasfered to its
particulate during mixing with sea. He also suggested that copper was bound to
colloids by physico-chemical process, the flux of copper to the ocean from the river
was less than 40%. The alkaline pH of the water medium can also be the cause of low
levels of copper as heavy metals are precipitated as their salts at high pH and are
deposited as sediments, (Kalaivani, 2013). Copper comes mainly from corrosion and
leaching of plumbing, fungicides (cuprous chloride), pigments, wood preservatives,
agrochemical (copper acetoarsenate) and antifouling paints, copper is used in
electronics, plating, paper, textile, rubber, fungicides, printing, plastic bases and other
alloy industries and it can also be emitted from various small commercial activities
and ware-houses (Neethu Patil et al 2014).
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Table 3.1: Longitudinal distribution of Copper (mg/l)
Stations /
Months Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Mean
Kalikesham 0.45 0.35 0.15 0.9 0.6 0.85 0.82 0.12 0.08 0.25 0.03 0.06 0.388
Tirparapu 0.02 0.12 0.22 0.07 0.15 0.12 0.93 1.22 0.1 0.19 0.03 0.09 0.272
Sucindram 0.55 0.48 0.29 0.32 0.32 0.52 1.67 0.84 0.152 0.29 0.11 0.52 0.505
Kanyakumari 0.016 0.055 0.138 0.062 0.072 0.068 0.078 0.042 0.021 0.055 0.021 0.035 0.055
Chothavilai 0.072 0.062 0.039 0.047 0.054 0.063 0.063 0.029 0.034 0.022 0.012 0.044 0.045
Muttom 0.015 0.054 0.048 0.032 0.066 0.072 0.072 0.045 0.046 0.031 0.023 0.056 0.047
Mean 0.187 0.187 0.148 0.239 0.21 0.282 0.606 0.383 0.072 0.14 0.038 0.134
132
Figure 3.1a: Longitudinal variation of Copper (mg/l)
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
Kalikesham Tirparapu Sucindram Kanyakumari Chothavilai Muttom
Cop
per (
mg/
l)
Stations
Oct Nov Dec Jan
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
Kalikesham Tirparapu Sucindram Kanyakumari Chothavilai Muttom
Copper
(mg/
l)
Stations
Feb Mar Apr May
0
0.1
0.2
0.3
0.4
0.5
0.6
Kalikesham Tirparapu Sucindram Kanyakumari Chothavilai Muttom
Copper
(mg/
l)
Stations
Jun Jul Aug Sep
133
Figure 3.1b: Annual Mean of Dissolved copper (mg/l)
Figure 3.1c: Seasonal Variations of Dissolved copper (mg/l)
0
0.1
0.2
0.3
0.4
0.5
0.6
Kalikesham Tirparapu Sucindram Kanyakumari Chothavilai Muttom
Co
pper (m
g/l)
Stations
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
Oct Nov Dec Jan Feb Mar Apr May Jun Jul Agu Sep
Cop
per (m
g/l)
134
3.4.2 Zinc
The results obtained for monthly variation of dissolved zinc at stations
Kalikesham, Tirparapu, Sucindram, Kanyakumari, Chothavilai and Muttom during
the period of study are presented in table 3.2. The longitudinal variations of Zinc, the
annual mean of Zinc and its seasonal variation are graphically represented in figure
3.2a, 3.2b and 3.2c respectively.
Zinc concentration in almost at the stations exceeded the limit of 0.5 mg/l,
permitted by WHO 1993 for drinking water. The maximum value of zinc at
Kalikesham was 1.52 mg/l (June, 2012), Tirparapu 1.20mg/l (September, 2012),
Sucindram 1.07mg/l, (March, 2012), Kanyakumari 1.36mg/l (February, 2012),
Chothavilai 1.24mg/l (February, 2012), Muttom1.21 mg/l (February, 2012). The
highest value throughout the year was observed at Kalikesham, 1.52mg/l (June 2012)
and the minimum value was recorded at Tirparapu, 0.03 mg/l, (October, 2011). The
highest values of all the six stations exceeded the WHO permissible limit. The annual
mean was found to be maximum at Kanyakumari, 0.686mg/l and minimum was found
at Tirparapu, 0.44 mg/l. In the premonsson seasons maximum was observed at
Kanyakumari, 1.36 mg/l (February, 2012) and the minimum was observed at
Kalikesham, 0.04 mg/l (May, 2012). In the post monsoon season the maximum was
observed at Kalikesham, 1.07 mg/l (December, 2012) and the minimum was the
observed at Tirparapu, 0.03 mg/l (October, 2012). During the monsoon the maximum
was observed at Kalikesham, 1.52mg/l (June, 2012) and minimum was observed at
Kalikesham, 0.022 mg/l (September, 2012). All the maximum values exceed the
permissible limit.
135
In the present study, the annual mean of dissolved zinc in Sucindram was
higher than the other stations. The Zinc in water of Sucindram was found in the range
of 0.09 ml/l to 1.07 ml/l. This might be due to the influence of discharges from tiles
industries and domestic waste and also due to stagnation. The concentration of zinc
was high during the pre-monsoon season and low during the monsoon season. The
high value during premonsoon could be due to evaporation and stagnation. Same can
be stated for Sucindram, where in many places the river is stagnant in all the seasons.
Kaushik et al (1999) reported the same pattern at Motiheel.
Zinc exist in sea water in dissolved state or as solid precipitate or adsorbed to
particle surface Goldberg (1963) suggested that the principal species of zinc in sea is
Zn2+
and ZnSO4. Young et al (1973) reported that large quantities of Zn are released
to the coastal environment and bays lying close to densly populated regions. Dyrrsen
et al (1974) proposed that Zn is dissolved in sea water and is in the form of Zn2+
,
Zn(OH)2, ZnCl2 and ZnSO4. In the present study the annual average of Zn content of
saline stations are higher. Sebastin Raja et al (1989) reported the same. Higher values
in the fresh water region may be due to effluents reaching this water. This is
supported by the study of Preston et al (1972). High values of zinc are also most
likely to occur in acid surface waters (Alain et al 1994). The present study coincided
with the above findings, in June (2012), Kalikesham had a pH of 6.8 mg/l showing a
slight acidic nature, in the same month, the highest value 1.52 mg/l of zinc was
recorded in the study period. The same phenomenon was again seen at Kanyakumari
in August 2012 when the pH was 6.98 the concentration of zinc was 1.06 mg/l and in
September 2012 when the pH was 6.00 the Zn concentration decreases to 0.83 mg/l.
136
In the present study the dissolved Zn content was higher during permonsoon
and monsoon seasons. Higher values of Zn during premonsoon may be due to
evaporation and stagnation. Succindram showed the higher value in all the pre
monsoon months 0.99 mg/l (February 2012), 1.07 mg/l (March 2012), 0.83 mg/l
(April 2012). This may be due to stagnation and evaporation.
Studies in the monsoon seasons reveal that the zinc may be high due to high
rainfall and surface runoff. In the present study, Sucindram had values slightly
highest, 0.62 mg/l (May 2012) and 0.48 mg/l (June 2012). Shamim et al (1996).
noticed high concentration of Zn during monsoon mainly due to land drainage which
mainly bring in heavy metals both in dissolved and in their associated form in to the
river. Kaushik et al 1999 also reported the same. They reported that Zn concentration
varied from 0.065 to 0.120 mg/l. The bioaccumulation of zinc was reported on a fish
variety by Enuneku et al., (2013) in his study on river Owan, Edo State, Nigeria. He
also reported that the fish accumulates metals from water by diffusion via skin and
gill as well as oral consumption or drinking of water (Nusseyet et al 2000). Zinc
reaches aquatic ecosystems by zinc containing fungicides, viscose rayan fibres, fossil
fuel burning etc. Zinc content in our study period was higher than Juwarkar (1988),
Kiran (2005) and Leung et al (2000).
137
Table 3.2: Longitudinal distribution of zinc (mg/l)
Stations /
Months Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Mean
Kalikesham 0.12 0.16 1.07 0.23 0.08 0.78 0.23 0.04 1.52 0.63 0.32 0.22 0.45
Tirparapu 0.03 0.15 0.35 0.27 0.48 0.35 0.32 0.25 0.66 0.87 0.35 1.2 0.44
Sucindram 0.82 0.09 0.56 0.17 0.99 1.07 0.83 0.62 0.48 0.56 0.26 0.37 0.568
Kanyakumari 0.92 0.75 0.63 0.36 1.36 0.93 0.26 0.46 0.38 0.29 1.06 0.83 0.686
Chothavilai 0.72 0.53 0.46 0.65 1.24 0.85 0.34 0.56 0.43 0.34 0.94 0.72 0.648
Muttom 0.53 0.33 0.29 0.92 1.21 0.68 0.44 0.69 0.51 0.46 0.76 0.62 0.62
Mean 0.523 0.335 0.56 0.433 0.893 0.777 0.403 0.437 0.66 0.525 0.615 0.66
138
Figure 3.2a: Longitudinal variation of Zinc (mg/l)
0
0.2
0.4
0.6
0.8
1
1.2
Kalikesham Tirparapu Sucindram Kanyakumari Chothavilai Muttom
Zin
c (m
g/l)
Stations
Oct Nov Dec Jan
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
Kalikesham Tirparapu Sucindram Kanyakumari Chothavilai Muttom
Zin
c (m
g/l)
Stations
Feb Mar Apr May
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
Kalikesham Tirparapu Sucindram Kanyakumari Chothavilai Muttom
Zin
c (m
g/l)
Stations
Jun Jul Aug Sep
139
Figure 3.2b: Annual Mean of dissolved zinc (mg/l)
Figure 3.2c: Seasonal Variation of dissolved zinc (mg/l)
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
Kalikesham Tirparapu Sucindram Kanyakumari Chothavilai Muttom
Zin
c (
mg
/l)
Stations
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
Oct Nov Dec Jan Feb Mar Apr May Jun Jul Agu Sep
Zin
c (m
g/l)
140
3.4.3 Iron
The results obtained for monthly variation of dissolved iron at station
Kalikesham, Tirparapu, Sucindram, Kanyakumari, Chothavilai and Muttom during
the period of study are presented in table 3.3. The longitudinal variations of iron, the
annual mean of iron and its seasonal variation are graphically represented in figure
3.3a, 3.3b and 3.3c respectively.
Iron concentration in almost at the stations exceeded the limit of 0.3 mg/l,
permitted by WHO 1993 for drinking water. The maximum value of iron at
Kalikesham was 0.86 mg/l (March, 2012), Tirparapu 1.10 mg/l (February, 2012),
Sucindram 1.21 mg/l, (June, July, 2012), Kanyakumari 0.94 mg/l (October, 2011),
Chothavilai 0.95 mg/l (February, 2012), Muttom 0.96 mg/l (March, 2012). The
highest value throughout the year was observed at Sucindram, 1.21 mg/l (June,July,
2012) and the minimum value was recorded at Tirparapu, 0.11 mg/l, (September,
2012). The highest values of all the six stations exceeded the WHO permissible limit.
The annual mean was found to be maximum at Kanyakumari, 0.706 mg/l and
minimum was found at Tirparapu, 0.413 mg/l. In the premonsoon seasons maximum
was observed at Tirparapu, 1.10 mg/l (February, 2012) and the minimum was
observed at Muttom, 0.23 mg/l (April, 2012). In the post monsoon season the
maximum was observed at Kanyakumari, 0.94 mg/l (October, 2011) and the
minimum was observed at Kalikesham, 0.14 mg/l (November, 2011). During the
monsoon the maximum was observed at Sucindram, 1.21 mg/l (June, July, 2012) and
minimum was observed at Tirparapu, 0.11 mg/l (September, 2012). All the maximum
values exceed the permissible limit.
141
Iron usually enters the aquatic systems as acid iron wastes. Banerjee et al
(2010) studied the variation in hydrochemistry of river Damodar and reported the
presence of iron in water in the range of 0.04mg/l to 4.98mg/l. Kakti et al (2010)
reported (2010) the presence of iron in drinking water in the range of 0.3 mg/l to
8.42mg/l Gupta (2012) reported in the range 0.036mg/l to 0.097mg/l. In the present
study concentration of iron ranged from 0.11mg/l in Thirparapu to 1.21mg/l in
Succindram, for the fresh surface waters. In the sea surface waters, the iron values
ranged from 0.23 mg/l in Muttom (April 2012) to a maximum of 0.95mg/l (February
2012) at Chothavilai.
The present study indicates the annual mean of dissolved iron content was
high in the coastal areas 0.706 mg/l (April 2012) to 0.654 mg/l (February 2012)
Chothavilai. The high value may be due to the discharge of industrial effluents,
sewage and land runoff. This concept was in accordance with the findings of Moyle
(1956), Pragatheeswaran et al (1986) and Kataria et al (2012). A similar type of
findings was reported by Tale et al (2010). In the present study the fresh water
stations exceeded the permissible limit of iron in drinking water as recommended by
WHO (1994) an Bis: 10500 (1991) which is 0.3mg/l.
The hydrated oxides of iron entering the aquatic system are precipitated and
drifted around as particles before settling. Reduction of natural iron III oxides induced
by light has been observed in acidic streams (Mcknight et al, 1988, Kimball et al
1992). This is of particular importance because natural oxides can scavenge trace
metals during their formation and metal absorbed as oxides might be released when
pH decreases or as a consequence of reduction and subsequent dissolution of these
142
oxides. Boyden et al (1979) reported that the dissolved iron greater than 0.45ppm may
consist of Fe (III) held in solution by complexation with organic materials.
The higher values of dissolved iron content in the fresh water stations were
associated with influx of fresh river water. Sahu (1991) noted an increase in heavy
metals content due to discharge of waste water and agricultural runoff. This is in
accordance with the present study.
In the present study, the concentration of dissolved iron was found to be high
during premonsoon and monsoon seasons. During premonsoon seasons the
concentration was high due to evaporation and stagnation. 0.71 mg/l (April 2012) at
Kalikesham, 0.33 mg/l (April 2012) Tirparapu, 0.44 mg/l Sucindram, 0.73 mg/l
Kanyakumari, 0.57 mg/l Chothavilai, 0.23 mg/l Muttom (Ouseph et al 1989). In the
monsoon season, the high concentration was due to the impact of rainfall and
increased land discharge in to the river water Chothavilai and Muttom had higher
value during monsoon, 0.79mg/l (June 2012), and 0.41mg/l (June 2012) respectively.
Azis and Nair (1987), Sathyanarayana et al (1990) reported the same in Ashtamudi
estuary and West Bay of Bengal respectively. The presence of high concentration of
iron in any water body may increase the hazard of pathogenic organisms; since most
of these organisms need iron for their growth (Tiwana et al., 2005).
143
Table 3.3: Longitudinal distribution of Iron (mg/l)
Stations /
Months Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Mean
Kalikesham 0.24 0.14 0.42 0.57 0.36 0.86 0.71 0.52 0.36 0.36 0.25 0.22 0.418
Tirparapu 0.35 0.22 0.24 0.72 1.1 0.83 0.33 0.42 0.21 0.21 0.22 0.11 0.413
Sucindram 0.24 0.39 0.16 0.75 0.99 0.49 0.44 0.51 1.21 1.21 0.89 0.66 0.662
Kanyakumari 0.94 0.63 0.51 0.83 0.78 0.89 0.73 0.92 0.42 0.51 0.65 0.66 0.706
Chothavilai 0.83 0.32 0.45 0.66 0.95 0.82 0.57 0.63 0.79 0.65 0.78 0.52 0.664
Muttom 0.86 0.41 0.62 0.81 0.81 0.96 0.23 0.46 0.41 0.72 0.88 0.68 0.654
Mean 0.58 0.35 0.4 0.72 0.83 0.81 0.5 0.577 0.57 0.61 0.61 0.48
144
Figure 3.3a: Longitudinal variation of dissolved Iron (mg/l)
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
Kalikesham Tirparapu Sucindram Kanyakumari Chothavilai Muttom
Iron (m
g/l)
Stations
Oct Nov Dec Jan
0
0.2
0.4
0.6
0.8
1
1.2
Kalikesham Tirparapu Sucindram Kanyakumari Chothavilai Muttom
Iron (m
g/l)
Stations
Feb Mar Apr May
0
0.2
0.4
0.6
0.8
1
1.2
1.4
Kalikesham Tirparapu Sucindram Kanyakumari Chothavilai Muttom
Iron (m
g/l)
Stations
Jun Jul Aug Sep
145
Figure 3.3b: Annual Mean of dissolved Iron (mg/l)
Figure 3.3c: Seasonal Variation of dissolved Iron (mg/l)
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
Kalikesham Tirparapu Sucindram Kanyakumari Chothavilai Muttom
Iron
(m
g/l)
Stations
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
Oct Nov Dec Jan Feb Mar Apr May Jun Jul Agu Sep
Iron
(m
g/l)
146
3.4.4 Manganese
The results obtained for monthly variation of dissolved manganese at station
Kalikesham, Tirparapu, Sucindram, Kanyakumari, Chothavilai and Muttom during
the period of study are presented in table 3.4. The longitudinal variations of
Manganese, the annual mean of Manganese and its seasonal variation are graphically
represented in figure 3.4a, 3.4b and 3.4c respectively.
Manganese concentration in all the stations did not exceed the limit of
0.05 mg/l, permitted by WHO 1993 for drinking water. The maximum value of
manganese at Kalikesham was 0.041 mg/l (March, 2012), Tirparapu 0.048 mg/l
(April, 2012), Sucindram 0.061 mg/l, (March, 2012), Kanyakumari 0.082 mg/l
(August, 2012), Chothavilai 0.073 mg/l (January, 2012), Muttom 0.71 mg/l (May,
2012). The highest value throughout the year was observed at Kanyakumari, 0.082
mg/l (August, 2012) and the minimum value was recorded at Kalikesham, 0.0027
mg/l, (October, 2011). The highest values of all the six stations did not exceed the
WHO permissible limit. The annual mean was found maximum at Kanyakumari,
0.048 mg/l and minimum was found at Kalikesham, 0.025 mg/l. In the premonsoon
seasons maximum was observed atMuttom, 0.071 mg/l (May, 2012) and the minimum
was observed at Kalikesham, 0.0022 mg/l (February, 2012). In the post monsoon
season the maximum was observed at Chothavilai, 0.073 mg/l (January, 2012) and the
minimum was observed at Kalikesham, 0.0027 mg/l (October, 2011). During the
monsoon the maximum was observed at Kanyakumari, 0.082 mg/l (August, 2012) and
minimum was observed at Kalikesham, 0.004 mg/l (June, 2012). All the maximum
values were all within the permissible limit.
147
Manganese is an essential element for plants and the information regarding its
toxicity is limited. Manivasakam (1987) reported that a large amount of manganese
causes pneumonitis. Kataria et al (2012) noticed 0.008mg/l to 1.130mg/l in his work.
In the present study the annual mean of manganese concentration was found, high in
sea water zones. In the river water zones the variation was in between 0.00027mg/l to
0.046mg/l. In the present study high values are also reported during premonsoon
seasons. This was in accordance with Ouseph et al (1989). Kaushik (1999). In the
present study Mn was under the permissible limit in all the fresh water zones.
Sebastin Raja et al (1989) reported that in-shore samples had more Mn than offshore
samples. Turekian (1971) stated that the absorbed metals in streams and rivers always
released in contact with sea due to their displacement by major ions such as
magnesium and sodium present in sea water.
In some places higher values were also noticed. This may be due to drainage
of domestic sewage. Subrahmanyam (1986) in his study recorded higher values of
manganese at Visakapatnam harbour due to drainage of domestic sewage from city.
At Succindram 0.06 mg/l (March 2012) a slight higher value than WHO and BIS was
recorded which may be due to domestic sewage. A slight higher values at Kalikesham
0.04 mg/l (March 2012) and Tirparapu 0.048 mg/l (April 2012) and 0.043 mg/l
(August 2012) may be due to the rubber factory effluents. This was in conformity
with the results discussed by Vijayamohan et al (1984). Chemical analysis report of
rubber factory effluent showed that it contained an array of chemicals including heavy
metals. The concentration of heavy metals such as Zn, Cu, Fe and Mn in rubber
factory effluent was higher when compared with textile mill effluents (Murugesan
1988). Higher values of Mn at Sucindram attributed to the untreated sewage, collected
148
washings from nearby villages, cattle yards, small scale industries, hospitals etc. This
was in agreement with the observations made in Ganga sagar regions of Darbhanga
by Kanwar and Randhawa (1974).
A probable source of air borne inorganic Manganese pollutant is the
combustion of methylcyclopentadienyl manganese tricarbonly (MMT), particularly in
areas of high traffic density (Sierra et al, 1998). Combustion of MMT in hot car
engine leads to the emission of manganese phosphates, manganese suplhate and
manganese oxides that include manganese trioxide as a minor component (Zayed,
2001). The higher manganese concentrations might be due to the addition of sewage
and domestic waste in the river (Neal et al, 2000). This may be the reason for higher
values at sucindram, which is located at a higher vehicular congestion area.
149
Table 3.4: Longitudinal distribution Manganese of (mg/l)
Stations /
Months Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Mean
Kalikesham 0.002 0.009 0.032 0.023 0.022 0.041 0.039 0.025 0.004 0.036 0.037 0.026 0.025
Tirparapu 0.023 0.005 0.009 0.027 0.032 0.041 0.048 0.029 0.016 0.028 0.043 0.015 0.026
Sucindram 0.019 0.027 0.018 0.026 0.005 0.061 0.042 0.039 0.046 0.033 0.026 0.036 0.032
Kanyakumari 0.038 0.047 0.052 0.066 0.031 0.041 0.055 0.027 0.039 0.047 0.082 0.051 0.048
Chothavilai 0.023 0.056 0.011 0.073 0.044 0.058 0.047 0.031 0.029 0.027 0.049 0.056 0.042
Muttom 0.039 0.048 0.036 0.035 0.046 0.038 0.062 0.071 0.053 0.046 0.031 0.029 0.045
Mean 0.029 0.039 0.031 0.05 0.036 0.056 0.058 0.044 0.037 0.043 0.054 0.043
150
Figure 3.4a: Longitudinal variation of Manganese (mg/l)
0
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
Kalikesham Tirparapu Sucindram Kanyakumari Chothavilai Muttom
Man
gan
ese
(mg/
l)
Stations
Oct Nov Dec Jan
0
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
Kalikesham Tirparapu Sucindram Kanyakumari Chothavilai Muttom
Man
gan
ese
(mg/
l)
Stations
Feb Mar Apr May
0
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
0.09
Kalikesham Tirparapu Sucindram Kanyakumari Chothavilai Muttom
Man
gan
ese
(mg/
l)
Stations
Jun Jul Aug Sep
151
Figure 3.4b: Annual Mean of dissolved Manganese (mg/l)
Figure 3.4c: Seasonal Variation of dissolved Manganese (mg/l)
0
0.01
0.02
0.03
0.04
0.05
0.06
Kalikesham Tirparapu Sucindram Kanyakumari Chothavilai Muttom
Man
gan
ese
(mg
/l)
Stations
0
0.01
0.02
0.03
0.04
0.05
0.06
0.07
Oct Nov Dec Jan Feb Mar Apr May Jun Jul Agu Sep
Man
ganese
(m
g/l)
152
3.4.5 Nickel
The results obtained for monthly variation of dissolved nickel at station
Kalikesham, Tirparapu, Sucindram, Kanyakumari, Chothavilai and Muttom during
the period of study are presented in table 3.5. The longitudinal variations of nickel,
the annual mean of nickel and its seasonal variation are graphically represented in
figure 3.5a, 3.5b and 3.5c respectively.
Nickel concentration in all the stations did not exceed the limit of
0.02 mg/l, permitted by WHO 1993 for drinking water except Sucindram and saline
water zones. The maximum value of Nickel at Kalikesham was 0.072 mg/l (October,
2011), Tirparapu 1.66 mg/l (May, 2012), Sucindram 2.246 mg/l, (March, 2012). In all
the saline water zones nickel was found to be below the detection limit. The highest
value throughout the year was observed at Sucindram, 2.246 mg/l (March, 2012) and
the minimum value was recorded at Kalikesham, 0.001 mg/l, (June, 2012). The
highest values of all the six stations exceed the WHO permissible limit. The annual
mean was found maximum at Sucindram, 0.557 mg/l and minimum was found at
Kalikesham, 0.035 mg/l. In the premonsoon seasons maximum was observed at
Tirparapu, 1.66 mg/l (May, 2012) and the minimum was observed at Kalikesham,
0.012 mg/l (May, 2012). In the post monsoon season the maximum was observed at
Tirparapu, 0.300 mg/l (January, 2012) and the minimum was the observed at
Kalikesham, 0.014 mg/l (January, 2012). During the monsoon the maximum was
observed at Sucindram, 0.831 mg/l (July, 2012) and minimum was observed at
Kalikesham, 0.001 mg/l (June, 2012).
There are many reasons for the high concentration of Nickel in the different
stations. Many factors affect the concentrations of heavy metals: the flow of the
153
dredged materials from upper regions of the river, dilution and increase of water flow,
direct drainage from farm land, factories, sewage disposal plants, dissolution of
sediments increase in the number of phytoplanktons in water, bioaccumulation,
chemical absorption on sediments and complexes with organic matter [Kaiser et al
2004, Al-Haidrey et al 2010, Al-Haidary, 2008]. Nickel was comparatively lower in
all the sites than the other metals. Several reasons were quoted for the presence of Ni
in fresh water zone Ndeda, Manohar, (2014) reports of waste dumping activities,
agriculture, car garages, industries, construction works, car washings, human waste,
raw sewage and garbage which are the major sources of heavy metals accumulation in
dams. Nickel is one of the colouring agent in paints. The higher value in Sucindram
may be due to the temple wash out and renovation work carried on the temple during
the study period.
In the saline water sources the Ni was below detectable limit, which may be
due to the cationic exchange of metals by Na, Mg and K in sea water. In the fresh
water zones the level of Ni is higher in the pre-monsoon season. This is due to high
evaporation rate during the dry season and results in higher concentration of metals in
water compared to dilution in monsoon. (Ndeda, 2014). A study of Rai, (2008) on
heavy metals in aquatic ecosystem of tropical industrial region concluded that
comparatively lower values of all metal ions were recorded during rainy monsoon
season compared to summer, which is due to dilution by addition of rain water and
subsequent drain out from reservoir water. Analysis of heavy metals in water of lower
river in Nigeria, attributed the high levels of Zn, Cr, Cu, Mn, Ni in river water during
dry season than wet season due to decrease in the river water in the dry season
resulting in increase in concentration of metals in water [Olatunde, 2012].
154
Table 3.5: Longitudinal distribution Nickel of (mg/l)
Stations Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Mean
Kalikesham 0.072 0.045 0.063 0.014 0.065 0.046 0.020 0.012 0.001 0.022 0.040 0.015 0.035
Tirparapu 0.025 0.072 0.015 0.300 0.710 1.020 1.520 1.660 0.024 0.056 0.001 0.047 0.454
Sucindram 0.273 0.172 0.108 0.065 0.872 2.246 1.421 0.072 0.042 0.831 0.256 0.321 0.557
Kanyakumari bd bd bd bd bd bd bd bd bd bd bd bd
Chothavilai bd bd bd bd bd bd bd bd bd bd bd bd
Muttom bd bd bd bd bd bd bd bd bd bd bd bd
Mean 0.123 0.096 0.062 0.126 0.549 1.104 0.987 0.581 0.022 0.303 0.099 0.128
155
Figure 3.5a: Longitudinal variation of Nickel (mg/l)
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
Kalikesham Tirparapu Sucindram
Nic
kel (
mg/
l)
Stations
Oct Nov Dec Jan
0
0.5
1
1.5
2
2.5
Kalikesham Tirparapu Sucindram
Nick
el (m
g/l)
Stations
Feb Mar Apr May
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
Kalikesham Tirparapu Sucindram
Nic
kel (
mg/
l)
Stations
Jun Jul Aug Sep
156
Figure 3.5b: Annual Mean dissolved Nickel (mg/l)
Figure 3.5c: Seasonal Variation dissolved Nickel (mg/l)
0
0.1
0.2
0.3
0.4
0.5
0.6
Kalikesham Tirparapu Sucindram
Nic
kel (
mg
/l)
0.00
0.20
0.40
0.60
0.80
1.00
1.20
Oct Nov Dec Jan Feb Mar Apr May Jun Jul Agu Sep
Nic
kel (
mg
/l)
157
3.4.6 Lead
The results obtained for monthly variation of dissolved lead at station
Kalikesham, Tirparapu, Sucindram, Kanyakumari, Chothavilai and Muttom during
the period of study are presented in table 3.6. The longitudinal variations of lead, the
annual mean of lead and its seasonal variation are graphically represented in figure
3.6a, 3.6b and 3.6c respectively.
Lead concentration in all the stations did not exceed the limit of
0.3 mg/l, permitted by WHO 1993 for drinking water. The maximum value of Lead at
Kalikesham was 0.033 mg/l (December, 2011), Tirparapu 0.034 mg/l (October, 2011,
April, 2012), Sucindram 0.047 mg/l, (October, 2011), Kanyakumari 0.047 mg/l
(January, 2012), Chothavilai 0.038 mg/l (October, 2011), Muttom 0.036 mg/l (April,
2012). The maximum value throughout the year was observed at Sucindram, 0.047
mg/l (October, 2011) and Kanyakumari 0.047 mg/l (January, 2012) and the minimum
value was recorded at Muttom, 0.008 mg/l, (August, 2012). The highest values of all
the six stations did not exceed the WHO permissible limit. The annual mean was
found maximum at Sucindram, 0.0345 mg/l and minimum was found at Tirparapu,
0.0236 mg/l. In the premonsoon seasons maximum was observed at Sucindram, 0.044
mg/l (March, 2012) and the minimum was observed at Kalikesham, 0.0089 mg/l
(March, 2012). In the post monsoon season the maximum was observed at Sucindram,
0.047 mg/l (October, 2011) and Kanyakumari 0.047 mg/l (January 2012) and the
minimum was observed at Muttom, 0.009 mg/l (December, 2011). During the
monsoon the maximum was observed at Sucindram, 0.037 mg/l (July, 2012) and
minimum was observed at Muttom, 0.008 mg/l (August, 2012). All the maximum
values were within the permissible limit.
158
During higher dry season levels of heavy metals depend upon the
physicochemical properties of water, such as pH, temperature, salinity, conductivity
and dissolved oxygen levels (Idodo-Umeh, 2002), (Yayintas, 2007). In the present
study of Pb the sea water regions had lower values compared to the fresh water zones.
Pb content showed negative correlation with salinity. Similar pattern was reported by
Qvarfort (1977). Satyanarayana and Prabhakara Murthy (1990) in their study on trace
metal distribution in marine environment recorded higher concentration of Pb in
inshore waters which were accompanied by relatively lower salinities and higher
nutrients. Nair (1995) in Beypore estuary recorded a decrease in lead content with
increase in salinity. In the present study, the values were comparatively higher at the
fresh water zone, Sucindram. Heavier traffic may also result in elevated levels of lead
(Aryas and Niskavaara, 1992). In the fresh water zone Tirparapu also recorded slight
higher values which may be due to tourist population on vacation, (October 2011)
0.034mg/l, (April 2012) 0.24mg/l, (May 2012) 0.21mg/l, (September 2012)
0.029mg/l. The tourist population increases traffic discharge and increase the Pb
content in the sample sites (Joshua N. Edokpayi, 2014) The high concentration
observed could be due to leaching of Pb containing materials and runoff from garages
and roads around the river (Joshua N. Edokpayi, 2014) (Jennings et al., 1996).
The study on the pH correlation of river water Riyadh water revealed, heavy
metal especially lead precipitation in the form of carbonate is possible. High
wastewater pH also promotes the precipitation of metals as oxides and hydroxides:
(Corbitt, 1990). The concentration observed at Sucindram could be due to leaching of
Pb containing materials and runoff from garages and roads around the river. This was
reported by Joshua N. Edokpayi in Dzindi River in South Africa (2014).
159
Table 3.6: Longitudinal distribution Lead of (mg/l)
Stations Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Mean
Kalikesham 0.025 0.021 0.033 0.026 0.03 0.0089 0.032 0.022 0.011 0.018 0.031 0.032 0.0242
Tirparapu 0.034 0.015 0.011 0.033 0.017 0.024 0.034 0.031 0.019 0.02 0.016 0.029 0.0236
Sucindram 0.047 0.026 0.033 0.026 0.028 0.038 0.044 0.032 0.025 0.037 0.05 0.028 0.0345
Kanyakumari 0.024 0.015 0.0098 0.047 0.021 0.032 0.0099 0.025 0.027 0.032 0.036 0.029 0.0256
Chothavilai 0.038 0.031 0.019 0.024 0.028 0.022 0.035 0.017 0.026 0.033 0.034 0.019 0.0272
Muttom 0.031 0.025 0.009 0.025 0.032 0.031 0.036 0.022 0.03 0.015 0.008 0.024 0.0240
Mean 0.033 0.022 0.019 0.030 0.026 0.026 0.032 0.025 0.023 0.026 0.029 0.027
160
Figure 3.6a: Longitudinal variation of lead (mg/l)
0
0.005
0.01
0.015
0.02
0.025
0.03
0.035
0.04
0.045
0.05
Kalikesham Tirparapu Sucindram Kanyakumari Chothavilai Muttom
Lead
(m
g/l)
Stations
Oct Nov Dec Jan
0
0.005
0.01
0.015
0.02
0.025
0.03
0.035
0.04
0.045
0.05
Kalikesham Tirparapu Sucindram Kanyakumari Chothavilai Muttom
Lead
(m
g/l)
Stations
Feb Mar Apr May
0
0.01
0.02
0.03
0.04
0.05
0.06
Kalikesham Tirparapu Sucindram Kanyakumari Chothavilai Muttom
Lead
(m
g/l)
Stations
Jun Jul Aug Sep
161
Figure 3.6b: Annual Mean of dissolved of lead (mg/l)
Figure 3.6c: Seasonal Variation of dissolved lead (mg/l)
0
0.005
0.01
0.015
0.02
0.025
0.03
0.035
0.04
Kalikesham Tirparapu Sucindram Kanyakumari Chothavilai Muttom
Lead (m
g/l)
Stations
0.000
0.005
0.010
0.015
0.020
0.025
0.030
0.035
Oct Nov Dec Jan Feb Mar Apr May Jun Jul Agu Sep
Lead
(mg/l
)