Upload
vantruc
View
215
Download
2
Embed Size (px)
Citation preview
J. Appl. Environ. Biol. Sci., 4(12)177-191, 2014
© 2014, TextRoad Publication
ISSN: 2090-4274
Journal of Applied Environmental
and Biological Sciences www.textroad.com
*Corresponding Author: Mohamed S.M. EL-Bady, Department of Geological Sciences, National Research Center, Dokki, Cairo, Egypt. E-Mail: [email protected]
Road Dust Pollution by Heavy Metals along the Sides of Expressway
between Benha and Cairo, Southern of Nile Delta, Egypt
Mohamed S.M. EL-Bady
Department of Geological Sciences
National Research Center, Dokki, Cairo, Egypt Received: October 1, 2014
Accepted: November 24, 2014
ABSTRACT
Benha-Cairo Expressway is one of the busiest roads in Egypt. For the assessment of heavy metal pollution
level in dust generated on the Expressway, 10 samples of dust were collected from various places along the
Benha-Cairo expressway. The samples were analyzed for seven heavy metals using FAAS (flame atomic
absorption spectrometry). Due to rapid increase in the use of vehicles from day to day, This paper reports the
results of the investigation of heavy metals concentration in road dust in the selected sites along Benha-Cairo
expressway as a result of vehicular pollution. Pollution levels were estimated based on Contamination Factor,
Pollution Load Index, Degree of Contamination, Geo-accumulation index and Potential ecological risk index.
All the indices for the metals under consideration were either low or corresponded to heavy level of
pollution. The pollution level is expected to increase due to the increase of the populations, vehicles and
industrial activities around the Benha-Cairo Expressway. The potential ecological risk index values showed
low ecological risk as Benha Bridge, at 40km from Cairo, at 25km from Cairo, at 20km from Cairo, at
Qalyeob Bridg and12 km from Cairo and moderate ecological risk at Tokh Bridge, Daaery road inlet, EL-
Moassasa Station and at Abbod Station.
KEY WARDS: Benha-Cairo Expressway – pollution –vehicles- Road dust
1. INTRODUCTION
Roads serve as major link among communities through which foods and other important commodities
are transported. It is an essential amenity that plays a major role in enhancing social and economic activities.
However, road construction has also resulted in heavy environmental pollution especially on soils [1].Dust is
the small solid particles, conventionally taken as those particles below 75 μm indiameter, which settle out
under their own weight but which may remain suspended for some time". According to the "Glossary of
Atmospheric Chemistry Terms" IUPAC.[2], "Dust: Small, dry, solid particles projected into the air by natural
forces, such as wind, volcanic eruption, and by mechanical or man-made processes such as crushing,
grinding, milling, drilling, demolition, shovelling, conveying, screening, bagging, and sweeping. Dust
particles are usually in the size range from about 1 to 100 μm in diameter, and they settle slowly under the
influence of gravity."
Solid matter, which is composed of soil, anthropogenic metallic constituents and natural biogenic
materials, is called dust [3,4]. Dust deposits and accumulates on ground surfaces, along roadsides, are called
road dust, which is contaminated by heavy metals and organic matters. Anthropogenic sources of heavy
metals in urban road dusts include traffic emission (vehicle exhaust particles, tire wear particles, weathered
street surface particles, brake lining wear particles), industrial emission (power plants, coal combustion,
metallurgical industry, auto repair shop, chemical plant, etc.), domestic emission, weathering of building and
pavement surface, atmospheric deposited and so on [5,6,7,8]. In the 21st century, millions of people are
working daily in a dusty environment. They are exposed to different types of health hazards such as fume,
gases and dust, which are risky factors in developing occupational disease. Dust is a sort of air pollution and
is a general name for solid particles with diameters less than 500 micrometers.
Road dust does not remain deposited in place for long. It is easily re-suspended back into the
atmosphere, where it contributes a significant amount of trace elements. Particles of different fraction sizes
have different modes of transport [9]. Strong wind is an important factor in transport of dust particles to
affect regional environment and harm human health, as well as cause significant impacts on global
biogeochemical cycle [10,11].Dust borne heavy metals accumulate in topsoil due to atmospheric deposition
177
EL-Bady, 2014
by sedimentation, impaction, and interception [12,5; 13,14].The most common heavy metals released from
vehicles on road are Cadmium (Cd), Copper (Cu), Lead (Pb), Nickel (Ni) and Zinc (Zn) [4,5,14,15,16,17].
Many heavy metals become bound to the surface of soil and roadside dust. To keep the environment clean and protect lives from heavy metal contaminants, it is important to have thorough understanding of the nature
and extent of heavy metal pollution. Increasingly, airborne particles emitted from geologic media pose threats to
human health and the environment [18].Environmental contamination and human exposure have dramatically
increased during the past one hundred years [19].The persistence of heavy metals in soils is a long process,
Topsoils and roadside dusts in urban area are indicators of heavy metal contamination from atmospheric
deposition. It has been noted that roadside soils near heavy traffic are polluted by Pb and other metals [20].
Road dusts and top roadside soils in urban area are indicators of heavy metal contamination from
atmospheric deposition. Key heavy metals are thereby Pb from leaded gasoline, Cu, Zn and Cd from car
components, tire abrasion, lubricants, industrial and incinerator emissions [21,22]. The source of Ni and Cr in
street dust is believed to be corrosion of cars [23,24] and chrome plating of some motor vehicle parts [25]
respectively. Emission from heavy traffic were reported to contain Lead, Cadmium, Zinc and Nickel which
are present in fuel as anti-knock agent [26,27], while tire wear and corrosion of roadside safety fences contribute to Zn pollution [28]. Cu is mainly released from the wear of brake linings, which is also an
important source of Pb and Zn.Matthews-Amunem and Kingsley [29] stated that in the absence of any major
industry, the motor vehicles on the roads considered the point sources of heavy metals to the roadside soils
and plants. Children are exposed to road dust through three main pathways: ingestion of dust particles,
inhalation of dust particles, and dermal contact with dust particles[3]. In developing countries improved road
accessibility creates a variety of ancillary employment which range from vehicle repairs, vulcanizer and welders to auto-electricians, battery chargers and dealers in other facilitators of motor transportation. These
activities send the heavy metals into the air and are subsequently deposited into nearby soils which are
absorbed by plants [30,31]. Heavy metals in the soil can also generate airborne particles and dust which may
affect the quality of air [32]. The number of private vehicles has dramatically growth in last decades. Cairo is
a rapidly expanding city, which has led to many environmental problems. Cairo occupies about 214.2 km2 stretching along the banks of the River Nile.Roadway dust, in Cairo, receives varying inputs of
anthropogenic metals from a variety of mobile or stationary sources, such as vehicular traffic, industrial
plants, power generation facilities, residential oil burning, waste incineration, construction and demolition
activities and re-suspension of surrounding contaminated soils. The road dust within Cairo contain higher
concentrations of elements reflecting the contribution of vehicular traffic and the industrial activities
[33].Abdel-Latif and Saleh [33] stated that Potential ecological risk indexes (RI) in Cairo road dust was
suffering from serious metal contamination. Pb and Cd presented higher ecological risks than any other
metals, and the contamination factors (Cf) revealed that road dust is highly contaminated by Pb, Zn, Cd, As
and V than that contaminated by Ni, Cr, Co and Ag. This study was therefore carried out to determine the
concentration of common heavy metals Pb, Cu, Co, Cd, Cr, Ni, and Zn in road dust along the expressway
between Benha and Cairo cities.
2. MATERIALS AND METHODS
2.1. Study Area and Sampling
Benha-Cairo Expressway is about45 km long, started from Benha city (at the first bridge of Benha) to
Cairo city (at Abbod station) (Fig. 1). The Expressway is the busiest and most heavily loaded traffic pathway
from Benha to Cairo. Most of the vehicles running on this road use fossil fuel (compressed natural gas,
gasoline, and diesel). A large number of people traveling daily on this highway are subjected to its dusty
environment. The region surrounding this highway is a rapidly developing residential and business area
where high-rise buildings are also under construction
The samples of road dust were collected from ten sites along Benha-Cairo Expressway in summer
season 2013. The sampling points are given in Table 1 and marked on the map shown in
Fig.1.Approximately 300 g of road dust particles was collected from each site as a surface dust on the
roadsides. The sampling used topographic maps at a scale of 1:50,000, Landsat images and GPS instruments. Sampling sites are characterized by different traffic density, different congestions and braking frequency of
traffic, different component of vehicles, and also with different influences of industrial sources and natural
sources and different pollution sources.
178
J. Appl. Environ. Biol. Sci., 4(12)177-191, 2014
Fig. (1). Location map and the sites of sampling
Table.(1). Heavy metals concentrations in road dust of Benha-Cairo Expressway
Samples Locations Pb Cu Co Cd Cr Ni Zn
1 Benha Bridge 212 84 5.2 0.8 45 19 288
2 At 40km from
Cairo
126 54 2.3 0.2 23 11 121
3 Tokh Bridge at 34
km from Cairo
233 69 4.3 0.9 36 19 249
4 At 25km from
Cairo
198 44 2.1 0.1 22 10 136
5 At 20km from
Cairo
187 43 1.6 0.1 24 12 188
6 14km from
Cairo(at Qalyeob
Bridge)
244 77 4.5 0.6 39 22 299
7 12 km from Cairo 188 46 2.6 0.4 25 18 200
8 10 km from Cairo
at Daaery road
inlet
255 89 6.5 0.9 55 24 458
9 7 km from Cairo
at EL-Moassasa
Station
259 89 7.5 1 59 24 569
10 At Abbod Station 279 95 7.9 1.1 62 27 588
Means 218.1 69 4.45 0.61 39 18.6 309.6
Average Shale 20 45 19 0.3 90 68 95
Tr 5 5 5 30 2 3 1
- Average shale, after Turekian and Wedepohl (1961)
- Tr:toxic-response factor of Håkanson (1980)
2.2. Laboratory Analysis
The use of flame atomic absorption spectrometer is still regarded as the most convenient and
appropriate technique for the purpose of heavy metal analysis in most cases. The road dust samples were air
dried, and then sieved to separate the < 63μm fraction. This fraction is used by several workers to eliminate
the effect of particle size and to obtain a more homogeneous grain distribution [34]. This fraction which
consists of silt and clay is known to entrap most of the trace elements [35]. One gram of the powdered
sample was digested with a mixture of H2O2, HCl and HNO3 according to the method described by Page et
al. [36]. Pb, Cu, Co, Cd, Cr, Ni and Zn were determined in the sample solution using atomic absorption
spectrophotometry (Perkin Elmer, Model 2380).
179
EL-Bady, 2014
2.3. Pollution Indices Calculations:
In this article, we classified the commonly used pollution indices into two types: (i) single indices and (ii)
integrated indices in an algorithm point of view. Single indices are indicators used to calculate only one metal contamination, which include contamination factor, ecological risk factor, and index of geo-accumulation.
Integrated indices are indicators used to calculate more than one metal contamination, which were based on the
single indices. Each kind of integrated index might be composed by the single indices separately.
Contamination indices and ecological risk indices were analyzed to assess heavy metal contamination of
road dust using single and integrated indices. In this study, contamination factor (Cf), ecological risk factor (Er)
and index of geo-accumulation (Igeo), as single indices, and the pollution load index (PLI), the degree of
contamination (DC) and the potential ecological risk index (RI), as integrated indices, were calculated.
2.3.1. Contamination factor (CF) and Pollution load index (PLI)
The level of contamination can be expressed by the contamination factor (CF); [37]. The CF is the ratio
obtained by dividing the concentration of each metal in the sediment by the baseline or Background value.
The background value corresponds to the baseline concentrations reported by (Turekian and Wedepohl, [38] and is based on element abundances in sedimentary rocks (shale). The following terminologies are used to
describe the contamination factor: CF<1, low contamination factor; 1≤ CF <3, moderate contamination
factors; 3≤ CF <6, considerable contamination factors; and CF ≥6, very high contamination factor.
The PLI proposed by Tomlinson et al. [39] provide some understanding to the public of the area about
the quantity of a component in the environment. The PLI of a single site is the nth root of n number of
multiplied together Contamination factor (CF) values. A PLI value of zero indicates perfection, a value of one indicates the presence of only baseline levels of
pollutants, and values above one would indicate progressive deterioration of the site and estuarine quality
[39]. The PLI value > 1 is polluted whereas PLI value < 1 indicates no pollution [40,41].
PLI = (CF1 × CF2 × CF3 ×······ ×CFn)1/n
Where, n is the number of metals (seven in the present study) and CF is the contamination factor.
2.3.2. Degree of contamination (DC)
Another index that can be derived from the CF values is the Degree of contamination (Dc) defined as
the sum of all contamination factors for a given site [37]:
DC= ∑ ���
�
where CF is the single contamination factor, and n is the count of the elements present. Dc values less than n would indicate low degree of contamination; n≤Dc<2n, moderate degree of contamination; 2n≤Dc<4n,
considerable degree of contamination; and Dc>4n, very high degree of contamination [42,43].
For the description of the degree of contamination in the study area the following terminologies have
been used: Dc < 7 low degree of contamination; 7<Dc<14 moderate degree of contamination; 14≤Dc<28
considerable degree of contamination; Dc > 28 very high degree of contamination. Where, n=7= the count of
the studied heavy metals.
2.3.3. Index of geo-accumulation
An index of geo-accumulation (Igeo) was originally defined by Müller in 1969, in order to determine
and define metal contamination in sediments [44,45,46, 40]. It can be calculated by the following equation
Igeo= Log2 (Cn/1.5Bn)
Where, Cn is the measured concentration of a heavy metal in stream sediments, Bn is the geochemical
background value in average shale of element n and 1.5 is the background matrix correction due to
Terrigenous effects or the factor 1.5 is introduced to minimize the effect of the possible variations in the
background or control values which may be attributed to lithogenic variations in the sediment [47]. The geo-
accumulation index (Igeo) was distinguished into seven classes Igeo≤0, class 0, unpolluted; 0<Igeo≤1, class
1, from unpolluted to moderately polluted; 1<Igeo≤2, class 2, moderately polluted; 2<Igeo≤3, class 3, from moderately to strongly polluted; 3<Igeo≤4, class 4, strongly polluted; 4<Igeo≤5, class 5, from strongly to
extremely polluted; and Igeo>5, class 6, extremely polluted [48,49,50,51].
180
J. Appl. Environ. Biol. Sci., 4(12)177-191, 2014
2.3.4. Ecological risk factor
An ecological risk factor (Eri) to quantitatively express the potential ecological risk of a given
contaminant also suggested by Håkanson [37].
Er =Tr × Cf
where Tr is the toxic-response factor for a given substance, and Cf is the contamination factor. The Tr
values of heavy metals suggested by Håkanson [37]. The Tr values of Pb, Cu, Co, Cd, Cr, Ni and Zn are 5, 5,
5, 30, 2, 3, and 1, respectively. The following terminologies are used to describe the risk factor: Er<40, low
potential ecological risk; 40≤Er<80, moderate potential ecological risk; 80≤Er<160, considerable potential
ecological risk; 160≤Er<320, high potential ecological risk; and Er≥320, very high ecological risk.
The potential ecological risk (RI) of the heavy metals is quantitatively evaluated by the potential
ecological risk index (Er) Håkanson, [37]; Zhu et al[52], which takes into account both contamination factor
(Cf), and the “toxic-response” factor.
The potential ecological risk values obtained were compared with categories grade of Er and RI of
metal pollution risk on the environment suggested by Håkanson [37] and Shi et al. [53].The potential ecological risk index (RI) was in the same manner as degree of contamination defined as the sum of the risk
factors.
RI = ∑ ���
�
where Er is the single index of ecological risk factor, and n is the count of the heavy metal species. The
following terminology was used for the potential ecological risk index: RI<150, low ecological risk;
150≤RI<300, moderate ecological risk; 300≤RI<600, considerable ecological risk; and RI>600, very high
ecological risk [37].Where, Er and RI denote the potential ecological risk factor of individual and multiple
metals, respectively.
3. RESULTS AND DISCUSSION
3.1. Heavy metal distributions in road dust:
Concentrations of Pb, Cu, Co, Cd, Cr, Ni, and Zn were measured in all 10 road dust samples (Table.1).
Worldwide concentration values of these elements in road dust have been compiled from literature and are
given in Table 2. The two main sources of street dust, and consequently of the trace elements found therein,
are deposition of previously suspended particles (atmosphere aerosol) and displaced urban soil [3,11].Mean
value concentrations were obtained by averaging the results of the samples collected from different roads
sites. The results obtained for each element are discussed in the following sections.
3.1.1. Lead:
Lead is ubiquitous in industrialized societies, and evidence of the negative affects of Pb on humans has been noted for centuries. Lead is released into the atmosphere from natural and anthropogenic sources.
From Table 1 and Fig. 2, it can be seen that the Pb concentration is in the range of 126–279 mg kg-1
with a mean value of 218.1 mg kg-1 in the road dust samples. The highest Pb concentrations in road dust
samples were found at sample sites 1,3,6,8,9 and 10 where the traffic load is heavy throughout the day. The
variations in the Pb concentration at some points may be due to traffic burden, brick kilns, and usage of
leaded gasoline. The Pb concentration is very high at Benha Bridge, Tokh Bridge, Qalyeob Bridge, EL-
Moassasa Station and at Abbod Station along the expressway .The mean concentration of Pb in the road dust
samples is comparable with that of the popular cities given in Table 2. It is evident that there is a great
variation in Pb concentration from city to city; the concentration is varying from 104 to 1927 mg kg−1
.
Among the 14 places reported, 7 places(Madrid, Istanbul, Avilés , Paris, Calcutta, Amman and Luanda) have
higher and 7 places (Ottawa, Hermosillo, Oslo, Birmingham, Islamabad, and Beijing in 2007 and 2013) have
lower concentration of Pb than that determined along Benha - Cairo Expressway. The percentages of Pb in
all sites along Benha-Cairo Expressway in the following order : Pb in site 10> Site 9> Site 8>Site 6 =Site
3>Site 1>Site 4>Site 5>Site 7 >Site 2 (Fig. 3).
3.1.2. Copper:
Copper occurs naturally in elemental form and as a component of many minerals. Copper is an essential
trace element that is widely distributed in the environment.
The average concentration of Cu in the road dust samples from Benha-Cairo Expressway, as given in
Table 1and Fig. 2, is 69 mg kg-1with a range of 43-95 mg kg−1
. The highest Cu concentration (95 mg kg−1)
in
the dust samples was found at Abbod Station in Cairo city and the lowest Cu concentrations (43 mg kg−1
)
were found at the middle of Expressway between Benha and Cairo. The measured average concentration of Cu is comparable to the global concentration of Cu as reported in Table 2, varies from 26.34-1075 mg kg
−1.
181
EL-Bady, 2014
Among the 14 places reported, 9 places have higher and 5 places have lower concentration of Cu than that
determined along Benha - Cairo Expressway. The concentrations of Cu in Ottawa and Beijing are nearly
comparable to that in the dust of Benha-Cairo Expressway. The percentages of Cu in all sites along Benha-
Cairo Expressway in the following order: Cu in site 10> Site 9> Site 8=Site 1>Site 6>Site 3>Site 2>Site
7>Site 4 =Site 5 (Fig. 3).
Table. (2). Comparison of heavy metal concentration in Road dust from some popular cities of the
world with data from Benha-Cairo Expressway City Pb Cu Co Cd Cr Ni Zn
Luanda/Angola a 351.3 41.78 2.9 1.15 26 10 316.6
Amman/Jordanb 210–1131 66.5–350 - 3.1–11.2 - 43–88 166–410
Beijing/Chinac 126 42 - 1.67 - 72 167
Beijing/Chinad 201.82 72.13 - 0.64 69.33 25.97 219.20
Calcutta/Indiae 536 44 - 3.12 42 159
Istanbul/Turkeyf 105–556 49-234 - 1.5-2.3 - 30-33 447-594
Islamabad/Pakistang 104 52 - 5.0 - 23 116
Birmingham/UKh 48 466.9 - 1.62 - 41.1 534
Madrid/Spain i 1927 188 3 - 61 44 476
Avilés (Spain) j 514 183 - 22.3 41.6 27.5 4892
Oslo/Norway i 180 123 19 1.4 - 41 412
Paris/Francek 1450 1075 - 1.7 - 25 840
Hermosillo/Mexicol 36.15 26.34 - 4.25 - 4.70 387.98
Ottawa/Canadam 39.05 65.84 8.31 0.37 43.3 15.2 112.5
Present study 218.1 69 4.45 0.61 39 18.6 309.6
a:Ferreira-Baptista and DeMiguel, (2005), b:Al-Khashman, (2007), c:Han, et al., (2007), d:Du, et al., (2013), e:Chatterjee and
Banerjee, (1999),f: Sezgin, et al., (2003), g:Faiz, et al., (2009),h: Charlesworth, et al.,(2003), i: DeMiguel, et al., (1997),j: Ordońez et al.
(2003),k:Pagotto, et al., (2001), l:Meza-Figueroa, et al., (2007),:Rasmussen, et al.,(2001).
Fig. (2). Concentrations of heavy metals in Road Dust of Benha-Cairo Expressway
3.1.3. Cobalt:
The significant sources of Co in soils are (i) parent materials from which the soils are derived and (ii)
the deliberate application of Co salts or treated phosphate fertilizer [54]. Other anthropogenic sources of
cobalt include coal combustion, electroplating, stainless steel, paints, glass, plastic hardeners, fertilizers and
lead as well as iron and silver mining and processing [55].
The average concentration of Co in the road dust samples from Benha-Cairo Expressway, as given in
Table 1and Fig. 2, is 4.45 mg kg-1with a range of 1.6 -7.9 mg kg−1
. The highest Co concentration (7.9 mg
kg−1
) in the dust samples was found at Abbod Station in Cairo and the lowest Co concentrations (1.6 mg
0.01
0.1
1
10
100
1000
1 2 3 4 5 6 7 8 9 10Co
nce
ntra
tio
ns
Samples
Pb Cu Co Cd Cr Ni Zn
182
J. Appl. Environ. Biol. Sci., 4(12)177-191, 2014
kg
−1) were found at the middle of Expressway between Benha and Cairo.The measured average
concentration of Co is comparable to the global concentration of Co as reported in Table 2, varies from 2.9-
19 mg kg−1
. Among the 14 places reported, 4 places only detected. Where, 2 places have higher and 2 places
have lower concentration of Co than that determined along Benha - Cairo Expressway. The concentrations of
Co in Madridis nearly comparable to that in the dust of Benha-Cairo Expressway. The percentages of Co in
all sites along Benha-Cairo Expressway in the following order : Co in site 10> Site 9> Site 8>Site 1>Site
6=Site 3>Site 7>Site 4 = Site 2 >Site 5 (Fig. 3).
3.1.4. Cadmium
Cadmium is a relatively rare heavy metal, which occurs naturally in combination with other metals.
Cadmium has been observed in road dust due to its presence in automobile fuel and in soil. Cadmium is
released into the atmosphere by natural and anthropogenic means.
The average concentration of Cd in the road dust samples from Benha-Cairo Expressway, as given in
Table 1 and Fig. 2, is 0.61 mg kg-1with a range of 0.1-1.0 mg kg−1
. The highest Cd concentration (1.1 mg
kg−1
) in the dust samples was found at Abbod Station in Cairo and the lowest Cd concentrations (0.1 mg
kg−1
) were found at the middle of expressway between Benha and Cairo. The measured average
concentration of Cd is comparable to the global concentration of Cd as reported in Table 2, varies from 0.37-
22.3 mg kg−1
. Among the 14 places reported, 12 places have higher and 1 places have lower concentration of
Cd than that determined along Benha - Cairo Expressway. The concentrations of Cd in Ottawa is nearly
comparable to that in the dust of Benha-Cairo Expressway. The High values of Cd on expressway due to the
heavy traffic burden as well as higher frequency of stop and start-up of vehicles. The percentages of Cd in all
sites along Benha-Cairo Expressway in the following order : Cd in site 10> Site 9> Site 8>Site 3>Site 1>Site
6>Site 7>Site 2>Site 4 =Site 5 (Fig. 3).
3.1.5. Chromium
The anthropogenic sources of Cr include alloys, chrome plating, pigments, chemical catalysts, dyes,
tanning, wood impregnation and refractory bricks [55].In Egypt the average chromium contents in different
soil types range between 11.6 to 179 ppm, depending on soil types and land management [56]. Abdel Sabour
et al. [57] reported that the main contamination source of Cr pollution arises from prolonged irrigation with
contaminated waste water. In the Nile Delta Shaheen [58] documented that the total chromium content of the
soil irrigated by fresh Nile water is 160.7 mg/kg in surface layers and this value increases with depth.
The average concentration of Cr in the road dust samples from Benha-Cairo Expressway, as given in
Table 1and Fig. 2, is 39 mg kg-1with a range of 22 - 62 mg kg−1
. The highest Cr concentration (62 mg kg−1
)
in the dust samples was found at Abbod Station in Cairo and the lowest Cr concentrations (22 mg kg−1) were
found at the middle of Expressway between Benha and Cairo. The measured average concentration of Cr is
comparable to the global concentration of Cr as reported in Table 2, varies from 26-69.33 mg kg−1
. Among the
14 places reported (9 places not detected and 5 places detected), 4 places have higher and 1 places have lower
concentration of Cr than that determined along Benha - Cairo Expressway. Higher concentration of Cr in traffic
roads and industrial areas, may reflect common traffic source and brake lining, as well as variety of industrial
sources (Rodríguez et al., 2004).The percentages of Cr in all sites along Benha-Cairo Expressway in the
following order : Cr in site 10> Site 9> Site 8>Site 1>Site 6 >Site 3>Site 7=Site 4=Site 2 =Site 5 (Fig. 3).
3.1.6. Nickel
Nickel combined with other elements occurs naturally in the earth's crust. It is found in all soils. In the
environment, it is primarily found combined with oxygen or sulfur as oxides or sulfides. Nickel is also
released into the atmosphere by oil and coal burning power plants, and trash incinerators. The concentration
of Ni as given in Table 1 and Fig. 2 varies between 10 and 27 mg kg−1
whereas the average value of this
element is 18.6 mg kg−1
in road dust. The highest Ni concentration 27 mg kg−1
was found at Abbod Station in
Cairo whereas the lowest concentration of 10 mg kg−1 was obtained at the middle expressway between
Benha and Cairo. The concentration of Ni measured at various places around the world is given in Table 2
(14 places), which varies from 4.7 to 88 mg kg−1
. There are 11 places in the world where the concentration of
Ni is greater and 3 places where it is lower than that in Benha – Cairo Expressway; whereas there is one
place (Ottawa/Canada) where the concentration of Ni is nearly equal to that in Benha-Cairo Expressway.
From these results it can be suggested that there is a higher contribution of Ni from sediment and soil in
roadside dust than traffic emissions. The percentages of Ni in all sites along Benha-Cairo Expressway in the
following order: Ni in site 10> Site 9= Site 8>Site 6>Site 1>Site 7= Site 3>Site 2=Site 5 >Site 4 (Fig. 3).
183
EL-Bady, 2014
The increased concentration of Ni in some sites in Benha-Cairo Expressway emitted from the fuel
combustion for urban and industrial activities, higher frequency of stop and start-up of vehicles as well as
from the soil and sediments beside the expressway.
Fig.(3) The percentages of heavy metals in the expressway between Benha and Cairo
1
10%
2
6%
3
11%
4
9%
5
8%
6
11%
7
8%
8
12%
9
12%
10
13%
Pb 1
12%
2
8%
3
10%
4
6% 5
6%
6
11%
7
7%
8
13%
9
13%
10
14%
Cu
1
12% 2
5%
3
10%
4
5% 5
3% 6
10%
7
6%
8
14%
9
17%
10
18%
Co 1
13% 2
3%
3
15%
4
2% 5
2% 6
10%
7
6%
8
15%
9
16%
10
18%
Cd
1
12% 2
6%
3
9% 4
6%
5
6% 6
10%
7
6%
8
14%
9
15%
10
16%
Cr 1
10% 2
6%
3
10%
4
5%
5
6% 6
12%
7
10%
8
13%
9
13%
10
15%
Ni
1
9% 2
4% 3
8%
4
4% 5
6%
6
10%
7
7%
8
15%
9
18%
10
19%
Zn
184
J. Appl. Environ. Biol. Sci., 4(12)177-191, 2014
3.1.7. Zinc
Zinc is an essential trace element, which is present in soil. Soil microbial processes are particularly
sensitive to Zn.
In Table 1and Fig. 2, it can be seen that the Zn concentration in road dust samples has a range of 121-
588 mg kg−1
with an average concentration of 309.6 mg kg−1
. Zn concentration was the highest of all of the
elements studied. The highest Zn concentration 588 mg kg−1
was found at Abbod Station in Cairo whereas
the lowest concentration of 121 mg kg−1
was obtained at the middle expressway between Benha and Cairo.
The concentration of Zn measured at various places around the world is given in Table 2 (14 places), which
varies from 112.5 to 4892 mg kg−1
. There are 9 places in the world where the concentration of Zn is greater
and 5 places where it is lower than that in Benha – Cairo Expressway; whereas there is one place
(Luanda/Angola) where the concentration of Zn is nearly equal to that in Benha-Cairo Expressway. The
percentages of Zn in all sites along Benha-Cairo Expressway in the following order : Zn in site 10> Site 9>
Site 8>Site 6>Site 1>Site 3>Site 7>Site 5>Site 4 =Site 2 (Fig. 3).
As mentioned before, Hien et al. [59] commented that the road dust is enriched with traffic- related
elements such as Cu. Zn is used as a vulcanization agent in vehicle tyres and tyre wear has been reported to
contribute significantly to Zn in street dust [60]. Also higher frequency of stop and start-up of vehicles may
emit more Cd, Ni, and Zn into the road dust [61]. As well as the most common heavy metals released from
vehicles on road are Cadmium (Cd), Copper (Cu), Lead (Pb), Nickel (Ni) and Zinc (Zn) [12,15,14; 11,16,17].
Table. (3) Contamination Factors, Pollution Load Index and Degree of Contamination Samples CF Dc PLI
Pb Cu Co Cd Cr Ni Zn
1 at Benha 10.6 1.86 0.27 2.66 0.5 0.27 3.03 19.21 1.29
2 6.3 1.2 0.12 0.66 0.25 0.16 1.27 9.97 0.61
3 11.65 1.53 0.22 3 0.4 0.27 2.62 19.71 1.19
4 9.9 0.97 0.11 0.33 0.24 0.14 1.43 13.14 0.56
5 9.35 0.95 0.08 0.33 0.26 0.17 1.97 13.14 0.58
6 12.2 1.71 0.23 2 0.43 0.32 3.14 20.05 1.23
7 9.4 1.02 0.13 1.33 0.27 0.26 2.10 14.54 0.83
8 12.75 1.97 0.34 3 0.61 0.35 4.82 23.85 1.59
9 12.95 1.97 0.39 3.33 0.65 0.35 5.98 25.65 1.72
10 at Cairo 13.95 2.11 0.41 3.66 0.68 0.39 6.18 27.41 1.84
3.2. Pollution indices:
Many calculation methods have been proposed for quantifying the level of metal pollution in road dusts. In
the present study, Contamination factor (CF) and Pollution load index (PLI), Degree of contamination (DC),
Index of geo-accumulation (Igeo, Ecological risk factor (Er)and potential ecological risk (RI) have been used to
assess the heavy metal contamination level in the road dust samples collected from Benha-Cairo Expressway.
The contamination factors (Table 3) were calculated for all metals in all samples, where they showed
that the contamination factor of Pb in all samples showed very high contamination (6 ≤ CF). The CF of Cu
showed moderate contamination in all samples, except in samples 4 and 5 showing low contamination factor.
The CF of Co showed low contamination factors in all samples. The CF of Cd showed low contamination
factor ( samples 4 and 5); moderate contamination factors (samples 1,3,6,7 and 8) and considerable
contamination factors (samples 9 and 10). The CF of Cr and Ni showed low contamination factors in all sites.
The CF of Zn showed moderate contamination factors (samples 2,3,4,5 and 7); considerable contamination
factors ( samples 1,6,8 and 9); and very high contamination factor as in sample 10 at Cairo. The PLI values >
1 in sites 1,3,6,8,9 and 10 indicated that these sites are polluted at Benha and Cairo whereas PLI value < 1 in
sites 2,4,5 and 7 indicates no pollution as at the middle sites between Benha and Cairo (Table 3 and Fig. 4).
For the description of the degree of contamination in the study area the following terminologies have
been used: 7<Dc<14 moderate degree of contamination as in sites 2,4 and 5; 14≤Dc<28 considerable degree
of contamination as in sites 1,3,6,7,8,9 and 10 as at Benha and at Cairo. Where, n=7= the count of the studied
heavy metals (Table 3 and Fig. 4).
The results of Geo-accumulation Index (Igeo) in road dust calculation are shown in Table 4 and Fig. 5. The
negative values of Ni, Cr, and Co according to contamination classification of Müller (1969), indicated that
the road dust was not polluted by these metals. Based on the results of Geo-accumulation Index, Igeo values
for Pb of road dust showed Moderately/Heavily pollution as in samples 1,2,3,4,5 and 7 (Benha Bridge, at
40km from Cairo, at Tokh Bridge at 34 km from Cairo,at 25km from Cairo,at 20km from Cairo and at12 km
from Cairo) and Heavily/Extremely pollution as in 6,8,9 and 10 (at QalyeobBridg, at Daaery road inlet, at
185
EL-Bady, 2014
EL-Moassasa Station and at Abbod Station). Igeo values for Cu showed Unpolluted as in 2,4,5 and 7 and
Unpolluted/Moderately polluted as in 1,3,6,8,9 and10 as at Benha and Cairo cities. Igeo values for Cd
showed Unpolluted as in samples 2,4,5 and 7 and Unpolluted/Moderately as in samples 1,3,6 and 8 (Benha
Bridge, Tokh Bridge , Qalyeob Bridge and at Daaery road inlet ) as well as Moderately polluted as in
samples 9 and 10 (at EL-Moassasa Station and at Abbod Station. Igeo values for Zn showed Unpolluted as in
samples 2 and 4, Moderately polluted as in samples 1,6,8 and 9 (Benha Bridge, at Qalyeob Bridge, at Daaery
road inlet and at EL-Moassasa Station), Unpolluted/Moderately at 12 km from Cairo (sample 7) and
Moderately/Heavily at Abbod Station (sample 10).
Fig.(4). Degree of Contamination, Pollution Load Index and potential ecological risk index
of Benha-Cairo Expressway Road Dust
The ecological risk assessment results of toxic metals in road dust, summarized in Table 5, showed that the
potential ecological risk factor of individual metal values (Er) varied belonging the studied metals in road dust
in different sites. Er values of Pb showed moderate contamination ecological risk in all samples except sample 2
showed low individual ecological risk. Er values of Cd showed low ecological risk in samples 2,4 and 5,
moderate contamination ecological risk (samples 1,6 and 7) and showed Considerable ecological risk as in 3,8,9
and 10 (at and near Cairo). Er values of Cu, Co, Ni, Cr and Zn showed low ecological risk in all sites of the
study area.In order to quantify the overall potential ecological risk of observed metals in road dust, RI was
calculated as the sum of all calculated risk factors (Table 5 and Fig. 4).RI could characterize sensitivity of local
ecosystem to the toxic metals and represents the ecological risk resulted from the overall contamination [53]. RI
Values showed low ecological risk as in samples 1,2,4,5,6 and 7 (Benha Bridge, at 40km from Cairo, at 25km
from Cairo, at 20km from Cairo, at QalyeobBridg and12 km from Cairo) and moderate ecological risk as in
3,8,9 and 10 (at Tokh Bridge, Daaery road inlet, EL-Moassasa Station and at Abbod Station).
Table.(4). Geo-accumulation index of Road Dust of Benha-Cairo Expressway Samples Igeo
Pb Cu Co Cd Cr Ni Zn
1 2.82 0.31 -2.45 0.83 -1.58 -2.42 1.01
2 2.07 -0.32 -3.63 -1.16 -2.55 -3.21 -0.23
3 2.95 0.03 -2.72 1 -1.90 -2.42 0.80
4 2.72 -0.61 -3.76 -2.16 -2.61 -3.35 -0.06
5 2.64 -0.65 -4.15 -2.16 -2.49 -3.08 0.39
6 3.02 0.18 -2.66 0.41 -1.79 -2.21 1.06
7 2.64 -0.55 -3.45 -0.16 -2.43 -2.50 0.48
8 3.08 0.39 -2.13 1 -1.29 -2.08 1.68
9 3.10 0.39 -1.92 1.15 -1.19 -2.08 1.99
10 3.21 0.49 -1.85 1.28 -1.12 -1.91 2.04
0.1
1
10
100
1000
1 2 3 4 5 6 7 8 9 10
Samples
Dc PLI RI
Cairo Benha
186
J. Appl. Environ. Biol. Sci., 4(12)177-191, 2014
Table.(5).Risk factors (Er) and risk indices (RI) of Benha-Cairo Expressway Road Dust Samples Er RI
Pb Cu Co Cd Cr Ni Zn
1 53 9.33 1.36 80 1 0.83 3.03 148.57
2 31.5 6 0.60 20 0.51 0.48 1.27 60.37
3 58.25 7.66 1.13 90 0.8 0.83 2.62 161.30
4 49.5 4.88 0.55 10 0.48 0.44 1.43 67.30
5 46.75 4.77 0.42 10 0.53 0.52 1.97 64.99
6 61 8.55 1.18 60 0.86 0.97 3.14 135.72
7 47 5.11 0.68 40 0.55 0.79 2.10 96.25
8 63.75 9.88 1.71 90 1.22 1.05 4.82 172.45
9 64.75 9.88 1.97 100 1.31 1.05 5.98 184.97
10 69.75 10.55 2.07 110 1.37 1.19 6.18 201.14
Fig. (5). Geo-accumulation Index (Igeo) of Benha-Cairo Expressway Road Dust
4. CONCLUSIONS
1- The Pb, Cu, Cd, Co, Cr, Ni and Zn concentrations is high at Benha Bridge, Tokh Bridge, Qalyeob
Bridge, EL-Moassasa Station and at Abbod Station along the expressway, where the traffic load is heavy
throughout the day.
2- The Pb, Cu, Cd, Co, Cr, Ni and Zn concentrations is low at 40km from Cairo, at 25km from Cairo, at
20km from Cairo and at 12 km from Cairo, where the traffic load is low to median throughout the day.
3- The PLI values > 1 in sites 1,3,6,8,9 and 10 (Benha Bridge, Tokh Bridge, at Qalyeob Bridge, at Daaery
road inlet , EL-Moassasa Station and At Abbod Station) indicated that these sites are polluted, whereas
PLI value < 1 in sites 2,4,5 and 7(at 40km from Cairo, at 25km from Cairo, At 20km from Cairo and 12
km from Cairo) indicates no pollution as at the middle sites between Benha and Cairo.
4- Based on the results of Geo-accumulation Index, Igeo values for Pb of road dust showed
Moderately/Heavily pollution as in samples 1,2,3,4,5 and 7 (Benha Bridge, at 40km from Cairo, at Tokh
Bridge at 34 km from Cairo, at 25km from Cairo,at 20km from Cairo and at12 km from Cairo) and
Heavily/Extremely pollution as in 6,8,9 and 10 (at Qalyeob Bridg, at Daaery road inlet, at EL-Moassasa
Station and at Abbod Station).
5- Igeo values for Cd showed Unpolluted/Moderately as in samples 1,3,6 and 8 (Benha Bridge, Tokh
Bridge , Qalyeob Bridge and at Daaery road inlet ) as well as Moderately polluted as in samples 9 and
10 (at EL-Moassasa Station and at Abbod Station.
6- Igeo values for Cu showed Unpolluted/Moderately polluted as in 1,3,6,8,9 and10 as at Benha and Cairo
cities. Igeo values for Cd showed Unpolluted as in samples 2,4,5 and 7 and Unpolluted/Moderately as in
-5
-4
-3
-2
-1
0
1
2
3
4
1 2 3 4 5 6 7 8 9 10
Samples
Pb Cu Co Cd Cr Ni Zn
Benha Cairo
187
EL-Bady, 2014
samples 1,3,6 and 8 (Benha Bridge, Tokh Bridge, Qalyeob Bridge and at Daaery road inlet ) as well as Moderately polluted as in samples 9 and 10 (at EL-Moassasa Station and at Abbod Station
7- Igeo values for Zn showed Unpolluted as in samples 2 and 4, Moderately polluted as in samples 1,6,8 and 9 (Benha Bridge, at Qalyeob Bridge, at Daaery road inlet and at EL-Moassasa Station), Unpolluted/Moderately at 12 km from Cairo (sample 7) and Moderately/Heavily at Abbod Station (sample 10).
8- The negative values of Ni, Cr, and Co according to contamination classification of Müller (1969), indicated that the road dust was not polluted by these metals.
9- The potential ecological risk index (RI) Values showed low ecological risk as in samples 1,2,4,5,6 and 7 (Benha Bridge, at 40km from Cairo, at 25km from Cairo, at 20km from Cairo, at QalyeobBridg and12 km from Cairo) and moderate ecological risk as in 3,8,9 and 10 (at Tokh Bridge, Daaery road inlet, EL-Moassasa Station and at Abbod Station)
10- nThe most common heavy metals released from vehicles on road are Cadmium (Cd), Copper (Cu), Lead (Pb), Nickel (Ni) and Zinc (Zn) agreement with many authors [12,15,14; 11,16,17].
11- . Also higher frequency of stop and start-up of vehicles may emit more Cd, Ni, and Zn into the road dust [61]. The High values of Cd on expressway due to the heavy traffic burden as well as higher frequency of stop and start-up of vehicles. The variations in the Pb concentration at some points may be due to traffic burden, brick kilns, and usage of leaded gasoline.
REFERENCES
[1] Bai, J., Cui, B., Wang, Q., Gao, H. , Ding, Q. (2009). ‘Assessment of heavy metal contamination of
roadside soils in Southwest China’.Stoch. Environ. Res. Risk Ass.23 (3): 341-347
[2] IUPAC (1990). Glossary of atmospheric chemistry terms International Union of Pure and
Applied Chemistry, Applied Chemistry Division, Commission on Atmospheric Chemistry. Pure and Applied Chemistry 62 (11):2167-2219
[3] Ferreira-Baptista, L. DeMiguel, E. (2005). Geochemistry and risk assessment of street dust in Luanda, Angola: a tropical urban environment, Atmospheric Environment 39 (2005) 4501–4512.
[4] Faiz, Y., Tufail, M., Javed, M.T., Chaudhry, M.M. &Naila-Siddiqu. (2009). Road dust pollution of Cd, Cu, Ni, Pb and Zn along Islamabad Expressway, Pakistan. Microch. J., 92(2): 186- 192.
[5] Lu, X., Wanga L., Lei K., Huang J., Zhai Y.(2009). Contamination assessment of copper, lead, zinc, manganese and nickel in street dust of Baoji, NW China, Journal of Hazardous Materials 161 (2009) 1058–1062.
[6] Morton-Bermea, O., Hernández-Álvarez, E., González-Hernández, G., Romero, F., Lozano, R. &Beramendi-Orosco, L.E. (2009). Assessment of heavy metal pollution in urban
[7] Wei, B., Jiang, F., Li, X., Mu, S., Sezgin, N., Ozcan, H.K., Demir, G., Nemlioglu, S. &Bayat, C. (2003). Determination of heavy metal concentrations in street dusts in Istanbul E-5 highway. Environ. Intern. 29: 979–985
[8] Sindern, S., Lima, R.F.S., Schwarzbauer, J. &Petta, R.A. (2007). Anthropogenic heavy metal signatures for the fast growing urban area of Natal (NE-Brazil). Environ. Geolo., 52: 731–737.
[9] Han, Y., Cao, J., Posmentier, E.S., Fung, K., Tian, H. & An, Z. (2008). Particulate-associated potentially harmful elements in urban road dusts in Xi’an, China. Appl. Geochem., 23: 835–845.
[10] Zhuang, G., Huang, R., Wang, M., Zhou, Q., Guo, J., Yuan, H. &Rao, Z. (2002). Great progress in study on aerosol and its impact in the global environment. Prog. Natural Sci. 12(6): 407–413.
[11] Han, L., Zhuang, G., Cheng, S., Wang, Y. & Li, J. (2007). Characteristics of re-suspended road dust and its impact on the atmospheric environment in Beijing. Atmos. Environ., 41: 7485–7499.
[12] Li, X., Poon, C., Liu, P.S., (2001). Heavy metal contamination of urban soils and street dusts in Hong Kong. Appl. Geochem. 16, 1361–1368.
[13] Ahmed, H. Ishiga, (2006). Trace metal concentrations in street dusts of Dhaka city, Bangladesh, Atmospheric Environment 40 (2006) 3835–3844.
188
J. Appl. Environ. Biol. Sci., 4(12)177-191, 2014
[14] Sezgin, N.. Ozcan, H.K Demir, G. Nemlioglu, S. Bayat C.(2003). Determination of
heavymetalconcentrationsinstreet dustsinIstanbulE-5highway, EnvironmentInternational 29 (2003) 979–985.
[15] Al-Khashman, O.A.(2004). Heavy metal distribution in dust, street dust and soils from the work place in Karak Industrial Estate, Jordan, Atmospheric Environment 38 (2004) 6803–6812.
[16] Pagotto, C.. Rémy, N Legret M., Le Cloirec P. (2001). Heavy metal pollution of road dust and roadside soil near a major rural highway, Environmental Technology 22 (2001) 307–319.
[17] Elik, A. (2003). Heavy metal accumulation in street dust samples in Sivas. Communi. Soil Sci. Plant Anal., 34: 145–156.
[18] Kim, K.M. Myung, J.H. Ahn,, J.S Chon H.T.(1998). Heavy metal speciation in dusts and stream sediments in the Taejon area, Korea, Journal of Geochemical Exploration 64 (1998) 409–419
[19] Meza-Figueroa, D., Villanueva M.D. O, Parra M.L.D.(2007). Heavy metal distribution in dust from elementary schools in Hermosillo, Sonora, México, Atmospheric Environment 41 (2007) 276–288.
[20]Wong, J.W.C. and Mak, N.K., (1997): Heavy metal pollution in children playgrounds in Hong Kong and its health implications. Environ. Technol., (18): 109–115.
[21] Markus, J.A., McBratney, A.B., (1996). An urban soil study: heavy metals in Glebe, Australia. Australian Journal of Soil Research 34, 453–465.
[22] Wilcke, W., Muller, S., Kanchanakool, N., Zech, W. (1998). Urban soil contamination in Bangkok: heavy metal and aluminium portioning in topsoils. Geoderma 86, 211–228.
[23] Ferguson, J.E., Kim, N., (1991). Trace elements in street and house dusts source and speciation. The Science of the Total Environment 100, 125–150.
[24] Akhter, M.S., Madany,I.M.,(1993). Heavy metal in streetandhousedust in Bahrain.Water, Air, and Soil Pollution 66, 111–119.
[25] Al-Shayep, S.M., Seaward, M.R.D., (2001). Heavy metal content of roadside soils along ring road in Riyadh (Saudi Arabia). Asian Journal of Chemistry 13, 407–423.
[26] Suzuki, K., Yabuki, T. & Ono, Y. (2008). Roadside Rhododendron pulchrum leaves as bioindicators of heavy metal pollution in traffic areas of Okayama. Japan. Environ. Monit.Asses. 149:133-141
[27] Atayese, M.O.; Eigbadon, A.I.; Oluwa, K.A. &Adesodun, J.K. (2009). Heavy metal contamination of amaranthus grown along major highways in Lagos..Afr. Crop. Sci. J.16:225-235
[28] Blok J.(2005). Environmental exposure of road borders to zinc. Sci Total Environ; 348: 173–90.
[29] Matthews-Amune O.C. and Kingsley, K. (2013). Paradigm shift from cooperate social responsibility (CSR) to cooperate social investment (CSI): A necessity for environmental sustainability in Nigeria. Acad. J. Environ. Sci. 1(21): 03118-02435..
[30] Adefolalu, A.A. (1980). ‘Transport and rural integrated development in: proceedings of the National conference on: Integrated Rural Dev. Women Dev., 1: 294-299.
[31] Mabogunje, A.L. (1980). ‘Development process a spatial perspective ’Hutchinson and Co publishers Ltd. pp. 234-244
[32] Gray, C.W., Mclaren, R.G. & Roberts, A.H.C. (2003). ‘Atmospheric accessions of heavy metals to some New Zealand pastoral soils’. Sci. Total Environ.,305: 105-115.
[33] Abdel-Latif, N.M. and Saleh, I.A. (2012). Heavy Metals Contamination in Roadside Dust along Major Roads and Correlation with Urbanization Activities in Cairo, Egypt. Journal of American Science 2012; 8(6): 379-389].(ISSN: 1545-1003). http://www.americanscience.org.
[34] Duquesne, S., Newton, L. C., Giusti, L., Marriott, S. B., Stark, A. J. & Bird, D. J. (2006).Evidence for declining levels of heavy metals in the Severn Estuary and Bristol Channel, U.K., and their spatial distribution in sediments. Environ. Pollut, 143, 187-196.
[35] Farkas, A., Erratico, C. &Vigano, L. (2007).Assessment of the environmental significance of heavy metal pollution in surficial sediments of the River Po. Chemosphere, 68, 761-768.
189
EL-Bady, 2014
[36] Page, A. L., R. H. Miller and D. R. Kenney, (editors). (1982).Heavy metals determination. In: Methods of Soil Analysis, Part 2, Chemical and Microbiological Properties. American Society of Agronomy, Madison, WI, USA. 8 pp.
[37] Hökanson L (1980). "Ecological Risk Index for Aquatic Pollution Control. A sedimentological approach" Water Res., 14: 975- 1001.
[38] Turekian, K. K.; Wedepohl, K. H., (1961).Distribution of the elements in some major units of the earth’s crust. Geo. Soc. Am. Bull., 72 (2), 175-192 (13 pages).
[39] Tomilson, D. C.; Wilson, D. J.; Harris, C. R.; Jeffrey, D. W., (1980).Problem in assessment of heavy metals in estuaries and the formation of pollution index. Helgol. Wiss. Meeresunlter, 33 (1-4), 566-575 (10 pages).
[40] Chakravarty, M. and Patgiri, A. D., (2009). Metal pollution assessment in sediments of the Dikrong River, NE India. J. Hum. Ecol., 27 (1), 63-67 (5 pages).
[41] Seshan, B. R. R.; Natesan, U.; Deepthi, K., (2010).Geochemical and statistical approach for evaluation of heavy metal pollution in core sediments in southeast coast of India. Int. J. Environ. Sci. Tech., 7 (2), 291-306 (16 pages).
[42] Caeiro, S., Costa, M. H., Ramos, T. B., (2005). Assessing Heavy Metal Contamination in Sado Estuary Sediment: An Index Analysis Approach. Ecological Indicators, 5: 151–169
[43] Pekey, H., Karakaş, D., Ayberk, S. (2004). Ecological Risk Assessment Using Trace Elements from Surface Sediments of İzmit Bay (Northeastern Marmara Sea) Turkey. Marine Pollution Bulletin, 48: 946–953
[44] Banat, K. M., Howari, F. M., Al-Hamada, A. A., (2005). Heavy Metals in Urban Soils of Central Jordan: Should We Worry about Their Environmental Risks? Environmental Research, 97: 258–273
[45] Praveena, S. M.; Ahmed, A.; Radojevic, M.; Abdullah, M. H.; Aris, A. Z., (2007).Factor-cluster analysis and enrichment study of mangrove sediments-an example from Mengkabong, Sabah. Malaysian J. Anal. Sci., 11 (2), 421-430 (10 pages).
[46] Praveena, S. M.; Ahmed, A.; Radojevic, M.; Abdullah, M. H.; ris, A. Z., (2008). Heavy metals in mangrove surface sediment of Mengkabong lagoon, Sabah: Multivariate and eoaccumulation index approaches. Int. J. Environ. Res., 2 (2), 139-148 (10 pages).
[47] Mediolla, L. L., Domingues, M. C. D. and Sandoval M. R. G. (2008). Environmental
Assessment of and Active Tailings Pile in the State of Mexico (Central Mexico). Research
Journal of Environmental sciences 2 (3): 197 – 208
[48] Muller, G., (1969). Index of geo-accumulation in sediments of the Rhine River. Geo. J., 2 (3), 108-118 (11 pages).
[49] Buccolieri, A., Buccolieri, G., Cardellicchio, N., et al., (2006). Heavy Metals in Marine Sediments of Taranto Gulf (Ionian Sea, Southern Italy). Marine Chemistry, 99: 227–235
[50] Kumar, S. P.; Edward, J. K. P., (2009). Assessment of metal concentration in the sediment cores of Manakudy estuary, south west coastal of India. Indian J. Mar. Sci., 38 (2), 235-248 (14 pages)
[51] Huu, H. H., Rudy S. and An Van Damme (2010). Distribution and contamination status GeologyBelgica13(1-2): 37 - 47
[52] Zhu, W., Bian, B. & Li, L. (2008). Heavy metal contamination of road-deposited sediments in a medium size city of China. Environ. Monit. Assess., 147(1–3): 171–181.
[53] Shi, G., Chen, Z., Bi, C., Li, Y., Teng, J., Wang, L. &Xu, S. (2010). Comprehensive assessment of toxic metals in urban and Suburban Street deposited sediments (SDSs) in the biggest metropolitan area of China. Environ. Pollu., 158: 694–703
[54] Smith, K. A. and Paterson, J. E., (1995). Manganese and cobalt, in In: B.J Alloway (Ed.) Heavy metals in soils. Blackie Academic and Professional, London, Uk. pp 224- 244.
[55] Reimann, C. and de Caritat. P., (1998). Chemical Elements in the Environment, Springer- Verlag, Berlin, Heidelberg, New York, pp. 398.
190
J. Appl. Environ. Biol. Sci., 4(12)177-191, 2014
[56] Abdel Sabour, M. F., Abdel-Haleem, A. S., E. Zohny and Sroor, A., (1998). Heavy metals content in
different Egyptian soils as affected by land uses as determined by neutron activation analysis, Asian Chemistry letters, 2, pp.54-57.
[57]Abdel-Sabour, M. F.,.Abdou, F.M, Elwan, I.M. and Al-Salama, Y. J., (2002). Effect of soil contamination due to wastewater irrigation on Cr fractions in some soils of Egypt. Proc. 6th radiation physics conf. Assuit university, Assuit ,Egypt. pp 27-30
[58] Shaheen, S. M. (2005).Pedochemical studies on some Egyptian soils under different depositional environments in relation to heavy metal content, pollution and remediation, Ph.D. thesis, Tanta Uni. Egypt.
[59] Hien, P.D., Binh, N.T., Truong, Y., Ngo, N.T., Sieu, L.N., (2001). Comparative receptor modelling study of TSP, PM2 and PM2–10 in Ho Chi Minh City. Atmos. Environ. 35, 2669–2678.
[60] Friedlander, S.K., (1973). Chemical element balances and identification of air pollution sources. Environ. Sci. Technol. 7, 235–240.
[61] Wei, B., Jiang, F., Li, X. & Mu, S. (2010). Contamination levels assessment of potential toxic metals in road dust deposited in different types of urban environment. Environ. Earth Sci., 61: 1187– 1196.
[62] Al-Khashman, O.A. (2007).The investigation of metal concentrations in street dust samples in Aqaba city, Jordan, Environmental Geochemistry and Health 29 (2007) 197–207.
[63] Du, Y. , Gao,B.,Zhou,H. Ju,X., Hao,H., Yin, S. (2013). Health Risk Assessment of Heavy Metals in Road Dusts in Urban Parks of Beijing, China. International Symposium on Environmental Science and Technology (2013 ISEST). Procedia Environmental Sciences, Volume 18, 2013, Pages 299–309
[64] Chatterjee, A. Banerjee, R.N. (1999). Determination of lead and other metals in a residential area of greater Calcutta, The Science of the Total Environment 227 (1999) 175–185.
[65] Charlesworth, S., Everett, M., McCarthy, R., Ordόñez, A. and De Miguel, E. (2003): A comparative study of heavy metal contamination and distribution in deposited street dust in a large and a small urban area: Birmingham and Coventry, West Midlands, UK. Environment International, 29: 563–573.
[66] De Miguel, E., Llamas, J.F., Chacόn, E., Berg, T., Larssen, S., Røyset, O. and Vadset, M. (1997). Origin and patterns of distribution of trace elements in street dust. Unleaded petrol and urban lead. Atmospheric Environment, 31: 2733–2740.
[67] Ordóñez, A., Loredo, J., De Miguel, E. &Charlesworth, S. (2003). Distribution of heavy metals in street dust and soils of an industrial city in Northern Spain. Archives of Environmental Contamination and Toxicology, 44, 160–170.
[68] Rasmussen, P.E. Subramanian K.S., Jessiman B.J (2001). A multi-element profile of house dust in relation to exterior dust and soils in the city of Ottawa, Canada, Science of the Total Environment 267 (2001) 125–140.
191