Research Article - (2016) Volume 1, Issue 2
Chandramohan J1, Chandrasekaran A2, Senthilkumar G2, Elango G4 and Ravisankar R5*
1Department of Physics, E.G.S.Pillay Engineering College, Nagapattinam-611001, Tamil Nadu, India
2Department of Physics, SSN College of Engineering, Kalavakkam, Chennai-603110, Tamil Nadu, India
3Department of Physics, University of College of Engineering, A Constituent College of Anna University, Chennai, Arani 632317, Tamil Nadu, India
4Department of Chemistry, Government Arts College, Thiruvannamalai-606603, Tamil Nadu, India
5Department of Physics, Government Arts College, Thiruvannamalai-606603, Tamil Nadu, India
*Corresponding Author:
Ravisankar R
Department of Physics, Government Arts College, Thiruvannamalai-606603, Tamil Nadu, India
Tel: +91-9840807356
E-mail:ravisasankarphysics@gmail.com
Received date: December 30, 2015; Accepted date: April 15, 2016; Published date: April 22, 2016
Selected heavy metals (Mg, Al, K, Ca, Ti, Fe, V, Cr, Mn, Co, Ni, Zn, As, Cd, Ba, La and Pb) in the coastal sediment samples from the Pattipulam to Dhevanampattinam along the East Coast of Tamil Nadu, India has been determined to assess the contamination and metal enrichment status. The metal concentration were analysed in sediment samples using Energy dispersive X-ray flurascence technique. The mean concentration found to be : 1665 mg kg-1 for Mg; 21719 mg kg-1 for Al; 8405 mg kg-1 for K; 9284 mg kg-1 for Ca; 1520 mg kg-1 for Ti; 6554 mg kg-1 for Fe; 35.3 mg kg-1 for V; 30.1 mg kg-1 for Cr; 130.4 mg kg-1 for Mn; 2.4 mg kg-1 for Co; 20.2 mg kg-1 for Ni; 62.2 mg kg-1 for Zn, 6.2 mg kg-1 for As, 3.4 mg kg-1 for Cd; 404.9 mg kg-1 for Ba; 15.1 mg kg-1 for La; 12.1 mg kg-1 for Pb; The determined mean metal concentration is in the order of Al > Ca > K > Fe > Mg > Ti > Ba > Mn > Zn > V > Cr > Ni > La > Pb > As > Cd > Co. A mean concentrations of heavy metals found in sediments are significantly lower than those from the background values. The heavy metals pollution assessments of sediments are determined by using pollution indices like contamination factor (CF), pollution load index (PLI) and potential contamination index (Cp). The sequence of the contamination factors of studied metals is Cd > Ba > Zn > Pb > As > Ca > Ti > Cr > K > Ni > Al > V > La > Mn > Fe > Co > Mg. This study reflects these pollution indices are sufficient to assess the pollution status of sediments.
Keywords
Heavy metals; EDXRF; Sediments; Pollution indices; Tamil Nadu
Introduction
Human actions are causing the slow extermination of plant and animal species in nature through toxic pollution due to industrial and technological advancement in recent decades [1]. Heavy metals are both extremely toxic and ubiquitous in natural environments and they occur in soil, surface water and plants, and it is readily mobilized by human activities such as mining and dumping industrial waste in natural habitats such as forests, rivers, lakes, and ocean [2].
Heavy metal pollution is one of the environmental crises that accompany with the rapid economic development in many countries. For heavy metal pollutants, one of the largest problems associated with their threat to the ecosystem is the potential for bioaccumulation and biomagnifications causing heavier exposure for some organisms than is present in the environment alone [3]. Due to the toxicity and persistence of heavy metal pollution, heavy metal research of estuarine and coastal area has attracted more public concerns recently [4-9]. It is necessary to investigate the distribution and pollution degree of heavy metal, in order to interpret the mechanism of transportation and accumulation of pollutants and to provide basic information for coast utilization and supervision [10, 11].
Sediment quality has been recognized as an important indicator of water pollution since sediments are the main sink for various pollutants, including metals discharged into the environment [12- 17]. Sediments also play a significant role in the remobilization of contaminants in aquatic systems under favorable conditions and in interactions between water and sediment. Comprehensive methods for identifying and assessing the severity of sediment contamination have been introduced in order to protect the aquatic life community [18, 19]. Sediment analysis is vital to assessing qualities of total ecosystem of a water body in addition to water sample analysis practiced for many years. The EDXRF technique is chosen for the present work due to its advantages like non-requirement of chemical treatment of the samples; it is less time consuming non-destructive method and it is ideal for environmental research.
This paper reports the elemental concentrations of coastal sediments from Pattipulam to Dhevanampattinam of East Coast of Tamil Nadu, Bay of Bengal. This coast is a densely populated area with variety of industrial activities (such as metal smelting, pharmaceuticals, etc.) and agriculture activities (which include maize, cassava, sugarcane and vegetables farming). All these activities release toxic and potentially toxic metals to the environment. This research therefore aims at assessing the influence and sources of these toxic and potentially toxic metals on the sediments from East Coast of Tamil Nadu. The samples were subjected to geochemical analyses using EDXRF technique and to evaluate possible anthropogenic influences. The main objectives of the current study are: (1) to determine concentrations of metals exist in the sediments from Pattipulam to Dhevanampattinam of East Coast of Tamil Nadu and (2) assess the degree of contamination by heavy metals in sediments using pollution indices.
Materials and Methods
Sampling and sample preparation
Sediment samples were collected along the Bay of Bengal coastline, from Pattipulam to Devanampattinam coast during pre-monsoon condition. These samples were collected pre-monsoon season, when sediment texture and ecological conditions can be clearly observed, when erosional activities are predominant and sediments were not transported from the river and estuary towards the beach and marine. In order to ensure minimum disturbance of the upper layer, samples were collected by a Peterson grab sampler from 10 m water depths parallel to the shoreline. The grab sampler collects 10 cm thick bottom sediment layer from the seabed along the 22 stations. Sampling locations were selected to collect representative samples from all along the study area. Table 1 represents the geographical latitude and longitude for the sampling locations at the study area.
S. No. | Location ID | Latitude (N) | Longitude (E) | Location |
---|---|---|---|---|
1 | PPM | 12°40'51.27"N | 80°15'19.35"E | Pattipulam |
2 | DVN | 12°39'19.32"N | 80°14'49.68"E | Devaneri |
3 | MAM | 12°37'55.53"N | 80°14'13.14"E | Mahabalipuram |
4 | KKM | 12°34'56.33"N | 80°13'22.37"E | Kokilamedu |
5 | KPM | 12°30'57.52"N | 80°11'50.57"E | Kalpakkam |
6 | VPC | 12°27'58.97"N | 80°11'16.29"E | Veppancheri |
7 | TPM | 12°24'42.28"N | 80° 9'48.29"E | Thenpattinam |
8 | MKM | 12°21'26.51"N | 80° 6'52.67"E | Mudaliyarkuppam |
9 | OKM | 12°19'35.89"N | 80° 5'44.70"E | Odiyurkuppam |
10 | APT | 12°16'19.80"N | 80° 3'16.00"E | Alampara fort |
11 | KPK | 12°12'42.65"N | 80° 1'32.40"E | Kaipanikuppam |
12 | FBH | 12° 9'2.75"N | 79°59'11.44"E | French beach |
13 | KMU | 12° 4'59.37"N | 79°55'53.55"E | Koonimedu |
14 | GCM | 12° 2'45.84"N | 79°56'46.86"E | Ganapathichettikulam |
15 | ABH | 11°59'51.98"N | 79°55'31.39"E | Auroville beach |
16 | MPT | 11°57'43.22"N | 79°52'42.65"E | Muthiyalpet |
17 | PBH | 11°56'38.16"N | 79°52'17.45"E | Pondy beach |
18 | KEP | 11°54'23.61"N | 79°51'49.37"E | Keerapalayam |
19 | PPT | 11°52'45.44"N | 79°51'19.75"E | Puthupettai |
20 | KIP | 11°50'23.50"N | 79°51'54.44"E | Kirumampakkam |
21 | TKA | 11°46'28.21"N | 79°49'31.03"E | Thazhankuda |
22 | DPM | 11°44'41.37"N | 79°49'23.01"E | Dhevanampattinam |
Table 1: The Geographical latitude and longitude for the sampling locations.
The sampling locations were selected based on the prevailing stresses and included areas near the urban and domestic effluent discharge point. Uniform quantity of sediment samples were collected from all the sampling stations located between an average interval of 3 NM (Nautical mile). Each sample of about 2 kg was kept in a thick plastic bag. Care was taken to ensure that the collected sediments were not in contact with the metallic dredge of the sampler, and the top sediment layer was scooped with an acid washed plastic spatula. Sediment samples were stored in plastic bags and kept in refrigeration at -4ºC until analysis. Then pebbles, leaves and other foreign particles were removed. The samples were sub-sampled using the coning and quartering method.
The samples were air dried at 105ºC for 24 h to a constant weight and sieved using a 63 μm sievein order to identify the geochemical concentrations. The grain size <63 μm, which presents several advantages: (1) heavy metals are mainly linked to silt and clay; (2) this grain size is like that of the suspended matter in water; and (3) it has been used in many studies on heavymetal contamination. Then samples were ground into a fine powder for 10-15 min, using an agate martor. All powder samples were stored in desiccators until they were analyzed. One gram of the fine ground sample and 0.5 g of the boric acid (H3BO3) were mixed. The mixture was thoroughly ground and pressed to a pellet of 25 mm diameter using a hydraulic press (20 tons) [9]. The Figure 1 shows the sampling location of the Study area.
Figure 1 Sediment samples collected at various locations from the east coast of Tamil Nadu, India.
EDXRF technique
The prepared pellets were analysed using the EDXRF available at Environmental and Safety Division, Indira Gandhi Centre for Atomic Research (IGCAR), Kalpakkam, Tamilnadu. The instrument used for this study consists of an EDXRF spectrometer of model EX-6600SDD supplied by Xenemetrix, Israel. The spectrometer is fitted with a side window X-ray tube (370 W) that has Rhodium as anode. The power specifications of the tube are 3-60 kV; 10-5833 μA. Selection of filters, tube voltage, sample position and current are fully customizable. The detector SDD 25 mm2 has an energy resolution of 136 eV ± 5 eV at 5.9 keV Mn X-ray and 10 sample turret enables keeping and analysing 10 samples at a time. The quantitative analysis is carried out by the In-built software NEXT. A standard soil (NIST SRM 2709a) was used as reference material for standardizing the instrument. This soil standard obtained from a follow field in the central California San Joaquin valley. The soil standard (reference material) (NIST SRM 2709a) analysis value are given in Table 2.
Element | Certified Values | EDXRF values |
---|---|---|
Mg | 14600 | 14900± 1000 |
Al | 72100 | 68400±2300 |
K | 20500 | 19100± 700 |
Ca | 19100 | 16500± 500 |
Ti | 3400 | 3100± 100 |
Fe | 33600 | 33900±1200 |
V | 110 | 98.8± 6.59 |
Cr | 130 | 112.1± 4.01 |
Mn | 529 | 568.2± 19.85 |
Co | 12.8 | 12.8± 0.55 |
Ni | 83 | 69.3± 2.98 |
Zn | 107 | 127.9± 4.88 |
Table 2 Analysis of soil standard-NIST SRM 2709a by EDXRF (mg kg-1).
Results and Discussion
Heavy metals in sediments
The determined heavy metals in sediment samples by EDXRF technique given in Table 3. The mean concentration found to be : 1665 mg kg-1 for Mg; 21719 mg kg-1 for Al; 8405 mg kg-1 for K; 9284 mg kg-1 for Ca; 1520 mg kg-1 for Ti; 6554 mg kg-1 for Fe; 35.3 mg kg-1 for V; 30.1 mg kg-1 for Cr; 130.4 mg kg-1 for Mn; 2.4 mg kg-1 for Co; 20.2 mg kg-1 for Ni; 62.2 mg kg-1 for Zn, 6.2 mg kg-1 for As, 3.4 mg kg-1 for Cd; 404.9 mg kg-1 for Ba; 15.1 mg kg-1 for La; 12.1 mg kg-1 for Pb; This mean concentration values of heavy metals in sediments do not exceed the natural background levels of heavy metals given by Turekian and Wedepohl [20]. This indicates that study area dominated with large amount of natural sediment with low heavy metal content [21]. The determined mean metal concentration is in the order of Al > Ca > K > Fe > Mg > Ti > Ba > Mn > Zn > V > Cr > Ni > La > Pb > As > Cd > Co.
S.No. | Location ID | Location | Mg | Al | K | Ca | Ti | Fe | V | Cr | Mn | Co | Ni | Zn | As | Cd | Ba | La | Pb |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | PPM | Pattipulam | 500 | 21722 | 9200 | 8550 | 1043 | 5486 | 26.9 | 29.9 | 108.8 | 2.1 | 18 | 66 | 6.2 | 4.9 | 422.9 | 9.9 | 12.9 |
2 | DVN | Devaneri | 2600 | 27900 | 8900 | 11000 | 9889 | 21836 | 162.2 | 61.9 | 386.9 | 7.1 | 20.3 | 58.7 | 7 | 3.2 | 362.8 | 123 | 14 |
3 | MAM | Mahabalipuram | 900 | 21800 | 8300 | 9800 | 2122 | 9138 | 45.8 | 31.6 | 178.3 | 3.3 | 18.7 | 34.1 | 5.8 | 0 | 435.8 | 10.2 | 6.1 |
4 | KKM | Kokilamedu | 1500 | 24000 | 9300 | 10500 | 1911 | 7557 | 35.6 | 26.3 | 156.5 | 2.7 | 18.1 | 27.9 | 5.6 | 4.7 | 485.2 | 21.8 | 6.1 |
5 | KPM | Kalpakkam | 900 | 22600 | 9300 | 9500 | 1352 | 6396 | 30.5 | 28 | 120.5 | 2.1 | 18.6 | 36.2 | 5.7 | 3.9 | 434.4 | 20.4 | 10 |
6 | VPC | Veppancheri | 2500 | 24900 | 9000 | 9800 | 1614 | 7355 | 34.2 | 29.4 | 138.5 | 2.7 | 20 | 36.5 | 5.3 | 7.5 | 453.8 | 18.1 | 8.9 |
7 | TPM | Thenpattinam | 4200 | 23700 | 8700 | 10800 | 1543 | 7423 | 35.6 | 38.6 | 153.5 | 2.8 | 24 | 120.3 | 8.4 | 2.6 | 434.6 | 18.7 | 25.8 |
8 | MKM | Mudaliyarkuppam | 20 | 17700 | 7200 | 7000 | 779 | 3945 | 23.8 | 21.7 | 88.9 | 1.4 | 19.7 | 50.1 | 5.5 | 0 | 302.9 | 7.5 | 7 |
9 | OKM | Odiyurkuppam | 200 | 18300 | 8100 | 8100 | 661 | 4036 | 24 | 21.4 | 81.6 | 1.4 | 16.6 | 22.7 | 4.9 | 2.7 | 421.5 | 0 | 3.8 |
10 | APT | Alampara fort | 2400 | 23200 | 8600 | 10400 | 859 | 5513 | 28 | 23.6 | 113.2 | 2.1 | 20.6 | 44.2 | 5.5 | 4.6 | 436 | 2.4 | 7.3 |
11 | KPK | Kaipanikuppam | 600 | 17800 | 7400 | 6400 | 614 | 3532 | 23.2 | 19.2 | 77.2 | 1.2 | 16.3 | 34.9 | 4.7 | 5.2 | 348.9 | 6 | 2.3 |
12 | FBH | French beach | 2600 | 20200 | 7300 | 8500 | 1242 | 6283 | 29.5 | 27.8 | 136.5 | 2.3 | 19.3 | 34.9 | 4.7 | 7.1 | 335.4 | 4.8 | 4.5 |
13 | KMU | Koonimedu | 2500 | 21800 | 7900 | 9400 | 1089 | 5694 | 28.2 | 32.3 | 123.9 | 2.1 | 21.8 | 121.9 | 8.3 | 0.2 | 337.1 | 1.1 | 24.7 |
14 | GCM | Ganapathichettikulam | 1600 | 19900 | 7800 | 8100 | 845 | 4509 | 24.7 | 29.3 | 95.9 | 1.6 | 21.5 | 116.8 | 7.2 | 0 | 373.2 | 15.5 | 22.5 |
15 | ABH | Auroville beach | 1500 | 21700 | 9100 | 10400 | 1027 | 5431 | 26.1 | 26.7 | 109.2 | 2 | 18.3 | 44.2 | 5.6 | 4.8 | 426.8 | 12.7 | 7.5 |
16 | MPT | Muthiyalpet | 1600 | 21500 | 8900 | 9300 | 942 | 4866 | 25.3 | 24.6 | 103.1 | 1.7 | 24.3 | 66.3 | 6.7 | 0 | 402.5 | 6.9 | 14 |
17 | PBH | Pondy beach | 1300 | 22600 | 9300 | 9600 | 772 | 4649 | 24.9 | 25.9 | 95.1 | 1.8 | 25.8 | 83.8 | 6.7 | 2.5 | 442.4 | 10.8 | 18.6 |
18 | KEP | Keerapalayam | 1800 | 26100 | 9500 | 12500 | 753 | 5303 | 26.6 | 26.3 | 115.8 | 2 | 22.8 | 87.6 | 7 | 13.7 | 433.4 | 2.6 | 16.4 |
19 | PPT | Puthupettai | 1800 | 20000 | 8000 | 8400 | 945 | 5433 | 27.3 | 30.7 | 102 | 2.1 | 19.1 | 65.9 | 6.3 | 0 | 450.4 | 13.2 | 14.2 |
20 | KIP | Kirumampakkam | 2500 | 23100 | 7700 | 10700 | 1632 | 8982 | 36.9 | 40.7 | 184 | 3.3 | 21.4 | 53.8 | 5.5 | 3.7 | 373.9 | 2.4 | 9.6 |
21 | TKA | Thazhankuda | 1900 | 15800 | 7600 | 5800 | 376 | 3215 | 22.7 | 19.8 | 61.4 | 1.1 | 17.9 | 91.1 | 6.7 | 2.5 | 393.2 | 3 | 18.7 |
22 | DPM | Dhevanampattinam | 1200 | 21500 | 7800 | 9700 | 1422 | 7604 | 35 | 45.6 | 138.3 | 2.9 | 22.1 | 70.3 | 6.3 | 1.5 | 401.6 | 20.2 | 11.7 |
Mean | 1665 | 21719 | 8405 | 9284 | 1520 | 6554 | 35.3 | 30.1 | 130.4 | 2.4 | 20.2 | 62.2 | 6.2 | 3.4 | 404.9 | 15.1 | 12.1 |
Table 3: Heavy metal concentration (mg kg-1) in sediments of east coast of Tamil Nadu.
Assessment of sediment contamination
Determining the degree of pollution by a given heavy metal requires that the pollutant metal concentration be compared with an unpolluted reference material (geochemical background). Such reference material should be an unpolluted or pristine substance that is comparable with the studied samples. The reference material represents a benchmark to which the metal concentrations in the polluted samples are compared and measured. Pollution, in this case, is measured as the amount (or ratio) of the sample metal enrichment above the concentrations present in the reference material.
Contaminant factor (CF)
The contamination factor (CF) and pollution load index (PLI) are also introduced to assess the degree of anthropogenic metal contamination. Contaminant factor (CF) is the ratio obtained by dividing the concentration of each metal in the sediment by the background value [22]. CF is considered to be an effective tool in monitoring the pollution over a period of time and is given by the formula,
According to Håkanson (1980) [22]: Cf<1 indicates low contamination; 16 is very high contamination. The calculated CF values are given in Table 4.
s
S.No. | Sample Id | Location | Mg | Al | K | Ca | Ti | Fe | V | Cr | Mn | Co | Ni | Zn | As | Cd | Ba | La | Pb | PLI |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | PPM | Pattipulam | 0.03 | 0.27 | 0.35 | 0.39 | 0.23 | 0.12 | 0.21 | 0.33 | 0.13 | 0.11 | 0.26 | 0.69 | 0.48 | 16.33 | 0.73 | 0.11 | 0.65 | 0.31 |
2 | DVN | Devaneri | 0.17 | 0.35 | 0.33 | 0.50 | 2.15 | 0.46 | 1.25 | 0.69 | 0.46 | 0.37 | 0.30 | 0.62 | 0.54 | 10.67 | 0.63 | 1.34 | 0.70 | 0.66 |
3 | MAM | Mahabalipuram | 0.06 | 0.27 | 0.31 | 0.44 | 0.46 | 0.19 | 0.35 | 0.35 | 0.21 | 0.17 | 0.28 | 0.36 | 0.45 | 0.00 | 0.75 | 0.11 | 0.31 | 0.00 |
4 | KKM | Kokilamedu | 0.10 | 0.30 | 0.35 | 0.48 | 0.42 | 0.16 | 0.27 | 0.29 | 0.18 | 0.14 | 0.27 | 0.29 | 0.43 | 15.67 | 0.84 | 0.24 | 0.31 | 0.35 |
5 | KPM | Kalpakkam | 0.06 | 0.28 | 0.35 | 0.43 | 0.29 | 0.14 | 0.23 | 0.31 | 0.14 | 0.11 | 0.27 | 0.38 | 0.44 | 13.00 | 0.75 | 0.22 | 0.50 | 0.33 |
6 | VPC | Veppancheri | 0.17 | 0.31 | 0.34 | 0.44 | 0.35 | 0.16 | 0.26 | 0.33 | 0.16 | 0.14 | 0.29 | 0.38 | 0.41 | 25.00 | 0.78 | 0.20 | 0.45 | 0.38 |
7 | TPM | Thenpattinam | 0.28 | 0.30 | 0.33 | 0.49 | 0.34 | 0.16 | 0.27 | 0.43 | 0.18 | 0.15 | 0.35 | 1.27 | 0.65 | 8.67 | 0.75 | 0.20 | 1.29 | 0.45 |
8 | MKM | Mudaliyarkuppam | 0.00 | 0.22 | 0.27 | 0.32 | 0.17 | 0.08 | 0.18 | 0.24 | 0.10 | 0.07 | 0.29 | 0.53 | 0.42 | 0.00 | 0.52 | 0.08 | 0.35 | 0.00 |
9 | OKM | Odiyurkuppam | 0.01 | 0.23 | 0.30 | 0.37 | 0.14 | 0.09 | 0.18 | 0.24 | 0.10 | 0.07 | 0.24 | 0.24 | 0.38 | 9.00 | 0.73 | 0.00 | 0.19 | 0.00 |
10 | APT | Alampara fort | 0.16 | 0.29 | 0.32 | 0.47 | 0.19 | 0.12 | 0.22 | 0.26 | 0.13 | 0.11 | 0.30 | 0.47 | 0.42 | 15.33 | 0.75 | 0.03 | 0.37 | 0.29 |
11 | KPK | Kaipanikuppam | 0.04 | 0.22 | 0.28 | 0.29 | 0.13 | 0.07 | 0.18 | 0.21 | 0.09 | 0.06 | 0.24 | 0.37 | 0.36 | 17.33 | 0.60 | 0.07 | 0.12 | 0.21 |
12 | FBH | French beach | 0.17 | 0.25 | 0.27 | 0.38 | 0.27 | 0.13 | 0.23 | 0.31 | 0.16 | 0.12 | 0.28 | 0.37 | 0.36 | 23.67 | 0.58 | 0.05 | 0.23 | 0.30 |
13 | KMU | Koonimedu | 0.17 | 0.27 | 0.30 | 0.43 | 0.24 | 0.12 | 0.22 | 0.36 | 0.15 | 0.11 | 0.32 | 1.28 | 0.64 | 0.67 | 0.58 | 0.01 | 1.24 | 0.28 |
14 | GCM | Ganapathichettikulam | 0.11 | 0.25 | 0.29 | 0.37 | 0.18 | 0.10 | 0.19 | 0.33 | 0.11 | 0.08 | 0.32 | 1.23 | 0.55 | 0.00 | 0.64 | 0.17 | 1.13 | 0.00 |
15 | ABH | Auroville beach | 0.10 | 0.27 | 0.34 | 0.47 | 0.22 | 0.12 | 0.20 | 0.30 | 0.13 | 0.11 | 0.27 | 0.47 | 0.43 | 16.00 | 0.74 | 0.14 | 0.38 | 0.32 |
16 | MPT | Muthiyalpet | 0.11 | 0.27 | 0.33 | 0.42 | 0.20 | 0.10 | 0.19 | 0.27 | 0.12 | 0.09 | 0.36 | 0.70 | 0.52 | 0.00 | 0.69 | 0.08 | 0.70 | 0.00 |
17 | PBH | Pondy beach | 0.09 | 0.28 | 0.35 | 0.43 | 0.17 | 0.10 | 0.19 | 0.29 | 0.11 | 0.09 | 0.38 | 0.88 | 0.52 | 8.33 | 0.76 | 0.12 | 0.93 | 0.32 |
18 | KEP | Keerapalayam | 0.12 | 0.33 | 0.36 | 0.57 | 0.16 | 0.11 | 0.20 | 0.29 | 0.14 | 0.11 | 0.34 | 0.92 | 0.54 | 45.67 | 0.75 | 0.03 | 0.82 | 0.35 |
19 | PPT | Puthupettai | 0.12 | 0.25 | 0.30 | 0.38 | 0.21 | 0.12 | 0.21 | 0.34 | 0.12 | 0.11 | 0.28 | 0.69 | 0.48 | 0.00 | 0.78 | 0.14 | 0.71 | 0.00 |
20 | KIP | Kirumampakkam | 0.17 | 0.29 | 0.29 | 0.48 | 0.35 | 0.19 | 0.28 | 0.45 | 0.22 | 0.17 | 0.31 | 0.57 | 0.42 | 12.33 | 0.64 | 0.03 | 0.48 | 0.35 |
21 | TKA | Thazhankuda | 0.13 | 0.20 | 0.29 | 0.26 | 0.08 | 0.07 | 0.17 | 0.22 | 0.07 | 0.06 | 0.26 | 0.96 | 0.52 | 8.33 | 0.68 | 0.03 | 0.94 | 0.24 |
22 | DPM | Dhevanampattinam | 0.08 | 0.27 | 0.29 | 0.44 | 0.31 | 0.16 | 0.27 | 0.51 | 0.16 | 0.15 | 0.33 | 0.74 | 0.48 | 5.00 | 0.69 | 0.22 | 0.59 | 0.36 |
Mean | 0.11 | 0.27 | 0.32 | 0.42 | 0.33 | 0.14 | 0.27 | 0.33 | 0.15 | 0.12 | 0.30 | 0.65 | 0.47 | 11.41 | 0.70 | 0.16 | 0.61 | 0.25 |
Table 4: The CF and PLI values of heavy metals in sediment samples of east coast of Tamil Nadu.
The results of CFs are 0.01 to 0.28 (average 0.11) for Mg, 0.20 to 0.35 (average 0.27) for K, 0.27 to 0.36 (average 0.32) for K, 0.36 to 0.57 (average 0.42) for Ca, 0.08 to 2.15 (average 0.33) for Ti, 0.07 to 0.46 (average 0.14) for Fe, 0.17 to 1.25 (average 0.27) for V, 0.21 to 0.69 (average 0.33) for Cr, 0.07 to 0.46 (average 0.15) for Mn, 0.06 to 0.37 (average 0.12) for Co, 0.24 to 0.38 (average 0.30) for Ni, 0.24 to 1.28 (average 0.65) for Zn, 0.36 to 0.65 (average 0.47) for As, 0.00 to 45.67 (average 11.41) for Cd, 0.52 to 0.84 (average 0.70) for Ba, 0.00 to 1.34 (average 0.16) for La, 0.12 to 1.30 (average 0.61) for Pb respectively. The average value of CF for heavy metals found in the following order of Cd > Ba > Zn > Pb > As > Ca > Ti > Cr > K > Ni > Al > V > La > Mn > Fe > Co > Mg. The mean CF values of all determined heavy metals are less than one except cdmium but some locations like Thenpattinam (TPM), Koonimedu (KMU); Ganapathichettikulam (GCM) shows that greater than one. Hence the sediment samples of (TPM) Thenpattinam, (KMU) Koonimedu, (GCM) Ganapathichettikulam shows the modertate contamination and other sediment samples are low contamination of heavy metals. Figure 2 shows the variation of CF with locations.
Figure 2 Contamination factor values in sediment sample of the east coast of Tamil Nadu, India.
Pollution load index (PLI)
The pollution load index (PLI) provides a simple, comparative means for assessing the level of heavy metal pollution [23]. PLI is determined as the nth root of the product of nCf
where Cf is the contamination factor and n is the number of metals. According to Tomlinson et al. [23], PLI>1 means that pollution is present; otherwise, if it is below 1, there is no metal pollution. The PLI values are between 0.00 and 0.66, with mean of 0.25. As seen from Table 4, the PLI value of all sediment samples are less than one. This indicates that sediemnts are not polluted by heavy metals. Figure 3 shows the variation of PLI with sampling locations.
Figure 3 Pollution level index values in sediment sample of the east coast of Tamil Nadu, India.
Potential contamination index (Cp)
The potential contamination index can be calculated by the following method [24].
where (Metal)Sample max is the maximum concentration of a metalin sediment, and (Metal)Background is the average value of the sediment in a background level. Cp values were interpreted assuggested by Davaulter and Rognerud (2001) [24], where Cp<1 indicates low contamination; 13 is severe contamination. The calculated potential contamination index of heavy metals given in Table 5.
Heavy metals | Cp |
---|---|
Mg | 0.281 |
Al | 0.349 |
K | 0.357 |
Ca | 0.566 |
Ti | 2.150 |
Fe | 0.463 |
V | 1.248 |
Cr | 0.688 |
Mn | 0.455 |
Co | 0.374 |
Ni | 0.379 |
Zn | 1.283 |
As | 0.646 |
Cd | 45.66 |
Ba | 0.837 |
La | 1.337 |
Pb | 1.290 |
Table 5: Potential contamination index (Cp) values of heavy metals in sediment samples of east coast of Tamil Nadu.
The Cp values of heavy metals such as Mg, Al, K, Ca, Fe, Cr, Mn, Co, Ni, As, Ba shows the less than 1 indicates sediemnts are low contaminated by theses metals whereas Cp values of Ti, V, Zn, La and Pb lies between 1 and 3 indicates sediemnts are moderately contaminated by these metals.
But metal Cd shows the greater than 3 shows that sediments are severely contaminated by cdmium. This may be due to influence of anthropogenic activites in the study area. Figure 4 shows the variation of Cp with heavy metals.
Figure 4 Potential contamination index of heavy metals in locations.
Conclusion
The concnetration of heavy metals has been determined in sediments using EDXRF technique. The low heavy metal content in sediments indicates that sediments not polluted. The CF values show that all sediments are low heavy metal contamination whereas some locations of Thenpattinam (TPM), Koonimedu (KMU), Ganapathichettikulam (GCM) shows that moderate contamination. Also from the potentional contamination index Cp, all sediment samples are low contamination except Ti, V, Zn, La, Pb and Cd. Hence the sediment samples of present study area not much polluted by heavy metals. This work represents the current state of sediment quality from Pattipulam to Dhevanampattinam along the East Coast of Tamilnadu, India that will be a useful tool to authorities in charge of sustainable estuarine and coastal zone management.
Acknowledgement
We are sincerely thanks and gratitude to Dr. K. K. Satpathy, Head, Environment and Safety Division, RSEG, EIRSG, Indira Gandhi Centre for Atomic Research (IGCAR), Kalpakkam- 603 102 for giving permission to make use of EDXRF facility in RSEG and also our deep gratitude and thanks to Dr. MVR Prasad, Head, EnSD, RSEG, IGCAR, Kalpakkam- 603102, India for his keen help and constant encouragements in EDXRF measurements. Our sincere thanks to Mr. KV Kanagasabapathy, Scientific Officer, RSEG, IGCAR for his technical help in EDXRF analysis.
Tables at a glance