Journal Pre-proof Environmental, ecological and health risks of trace elements, and their sources in soils of Harran Plain, Turkey Memet Varol, Muhammet Raşit Sünbül, Halil Aytop, Cafer Hakan Yılmaz PII:
S0045-6535(19)32832-2
DOI:
https://doi.org/10.1016/j.chemosphere.2019.125592
Reference:
CHEM 125592
To appear in:
ECSN
Received Date: 26 June 2019 Revised Date:
19 November 2019
Accepted Date: 8 December 2019
Please cite this article as: Varol, M., Sünbül, Muhammet.Raş., Aytop, H., Yılmaz, C.H., Environmental, ecological and health risks of trace elements, and their sources in soils of Harran Plain, Turkey, Chemosphere (2020), doi: https://doi.org/10.1016/j.chemosphere.2019.125592. This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2019 Published by Elsevier Ltd.
1
Environmental, ecological and health risks of trace elements, and their sources in soils of
2
Harran Plain, Turkey
3
Memet Varola,*, Muhammet Raşit Sünbülb, Halil Aytopb, Cafer Hakan Yılmazb
4
a
5 6
b
Malatya Turgut Özal University, Faculty of Fisheries, Malatya, Turkey
East Mediterranean Transitional Zone Agricultural Research of Institute, Kahramanmaraş, Turkey
7 8
*Corresponding
author:
9
[email protected]
Memet
Varol;
e-mail
addresses:
[email protected];
10 11
Abstract
12
Soil pollution with trace elements (TEs) has become an increasingly serious environmental
13
concern, however, assessment of ecological and human health risks especially in intensive
14
agricultural regions remains limited. In this study, the contents of ten TEs (Al, As, Pb, Cr, Cu,
15
Zn, Ni, Co, Mn and Fe) in soil samples from 204 sampling sites in the Harran Plain (Turkey)
16
were examined to evaluate possible sources, pollution status and environmental, ecological
17
and health risks of these elements. Only As and Ni exceeded the upper continental crust
18
concentrations. Among ten TEs, Ni and As had the highest mean values of enrichment factor
19
(EF) and contamination factor (Cf), indicating that soils showed moderate enrichment and
20
moderate contamination with these elements. Ecological risk factor and ecological risk index
21
values of all samples were < 40 and < 150, respectively, indicating low ecological risk in the
22
study area. Factor analysis and correlation analysis indicated that Al, Pb, Cr, Cu, Zn, Co, Mn
23
and Fe mainly originated from natural sources, Ni from mixed sources of anthropogenic and
24
lithogenic origins, while arsenic primarily originated from anthropogenic activities. The
25
hazard quotient values for both adults and children did not exceed 1, suggesting that all TEs in
1
26
soil through ingestion, dermal contact and inhalation pathways had no significant non-
27
carcinogenic risks. Children were more susceptible to non-carcinogenic health effects of TEs
28
in soils. The carcinogenic risk values of As, Co, Cr and Ni were within the acceptable risk
29
range, indicating that carcinogenic risks were not expected.
30
Keywords: Harran Plain; trace elements; soil contamination; risk assessment; multivariate
31
statistical methods
32 33
1. Introduction
34
The soil is widely accepted as the part of the environment most exposed to trace element
35
contamination (Marchand et al., 2011; Mazurek at al., 2017). The highest contents of trace
36
elements (TEs) occur generally in the topsoils, because surface layers, especially organic
37
horizons, have the greatest ability to bond TEs (Acosta et al., 2015; Mazurek at al., 2017).
38
Sources of TEs in soils can be natural (lithogenic and pedogenic processes) or anthropogenic
39
(Huang et al., 2018; Wang et al., 2012; Rivera et al., 2015; Mazurek at al., 2017; Li et al.,
40
2018). Nevertheless, compared with natural sources, anthropogenic inputs are the major cause
41
of TE accumulation in soils (Dong et al., 2018; Ni et al., 2018). The major sources of
42
anthropogenic inputs for TEs in soils are domestic wastes, industrial activities, traffic
43
emissions and agricultural activities (application of pesticides and fertilizers) (Muhammad et
44
al., 2011; Dong et al., 2018; Ni et al., 2018; Antoniadis et al., 2017; Kumar et al., 2019;
45
Huang et al., 2018).
46 47
Pollution of soils by TEs has become a serious concern in many regions of the world (Islam et
48
al., 2016; Jia et al., 2018; Chen et al., 2015; Yang et al., 2018; Li et al., 2017). For instance,
49
16.1% of China's soil was polluted and about 82% of the contaminated soil contained trace
50
elements (Teng et al., 2014; Shi et al., 2019). Therefore, many studies associated with TE
2
51
pollution in soils have focused on concentrations, possible sources, and ecological and
52
environmental risk assessments of TEs (Yaylalı-Abanuz, 2011; Dartan et al., 2015; Dong et
53
al., 2018; Mazurek at al., 2017; Ni et al., 2018). Understanding the pollution characteristics of
54
TEs in the soils, and assessing their environmental and ecological risks both are the basic
55
preconditions for prevention and control of soil pollution, and provide important information
56
for making decisions on remediation of contaminated soils (Chen et al., 2015; Ye et al.,
57
2017a, 2017b, 2019). Multivariate statistical methods are conducted to identify potential
58
pollution sources and to indicate relationships between trace elements (Dong et al., 2018; Ni
59
et al., 2018). Environmental risk assessment of TEs in soil is an important reference for
60
identifying the pollution degree and developing pollution prevention strategies (Li et al.,
61
2018; Kumar et al., 2019; Mazurek et al., 2019). Enrichment factor, geoaccumulation index
62
and contamination factor were frequently used for environmental risk assessment of TEs.
63
Hakanson ecological risk index and ecological risk factor were widely utilized to identify the
64
ecological risk of TEs (Huang et al., 2016; Yaylalı-Abanuz, 2011; Dong et al., 2018; Jia et al.,
65
2018; Mazurek at al., 2017; Ni et al., 2018; Wu et al., 2018; Mazurek et al., 2019). These
66
studies indicated that both index methods are reliably used for evaluation of ecological and
67
environmental risks of TEs in soils.
68 69
TEs accumulated in soils can cause great threat to both human health and natural environment
70
due to their high toxicity, persistency and high bioaccumulation potential (Jia et al., 2018;
71
Mazurek at al., 2017). However, compared with investigations involving environmental and
72
ecological risks of TEs in soils, the investigations that have been carried out for human health
73
risk assessment associated with TEs in soils are much less in number (Jia et al., 2018;
74
Antoniadis et al., 2019). Previous studies reported that long-term exposure to TEs in soils can
75
cause serious adverse effects on human. For instance, chronic exposure to toxic elements such
3
76
as As, Pb Cr and Cd can lead to cardiovascular diseases, dermal lesions, reproductive and
77
hematological damages, nervous system disorders, developmental anomalies, liver and kidney
78
dysfunctions, and skin and lung cancer in humans (Pan et al., 2016a; Adimalla and Wang,
79
2018; Jia et al., 2018; Antoniadis et al., 2019; Huang et al., 2018). Thus, health risks from
80
exposure to TEs in soils should not be ignored. It is necessary to conduct more studies for
81
assessing human health and eco-environment risks from TEs in soils.
82 83
Increasing investigations have been performed on TE concentrations, contamination
84
assessment, source identification and human health risk assessment of TEs in agricultural and
85
urban soils in many countries (Rinklebe et al., 2019; Baltas et al., 2020; Pan et al., 2016a;
86
Adimalla and Wang, 2018; Dong et al., 2018; Mazurek at al., 2017; Ni et al., 2018; Jia et al.,
87
2018; Wu et al., 2018). However, there have been few investigations on ecological and health
88
risks of TEs in the soils of Turkey (Yaylalı-Abanuz, 2011; Baltas et al., 2020). Thus, this
89
study fills an important gap by evaluating the potential effects of TEs in soils on human health
90
and eco-environment. The Harran Plain, located in the province of Şanlıurfa, is one of the
91
most fertile plains in Turkey. About 67% of total area of the plain is used for agricultural
92
purposes (Isgin and Kara, 201). To better understand the risks of soil TEs in an important
93
agricultural area, this pilot study was conducted in the Harran Plain in Southeastern Turkey.
94
Thus, this area could serve as a model for monitoring other agricultural areas with similar
95
characteristics. The objectives of the current study were to identify possible sources of TEs
96
using multivariate statistical methods, to evaluate ecological-environmental risks of TEs using
97
multiple indices, and to assess both non-carcinogenic and carcinogenic human health risks for
98
local residents exposed to TEs in soils.
99 100
2. Materials and methods
4
101
2.1. Study area
102
This study was performed in the Harran Plain (36°43ʹ– 37°11ʹN; 38°39ʹ–39°30ʹE), located in
103
Şanlıurfa province in Turkey (Fig. 1). This region has very fertile soils and agriculture is the
104
main economic activity in the region (Bilgili et al., 2017). The soils in the plain are clayey and
105
slightly alkaline (pH 7.50–8.00). The majority of soils are classified as Vertisol. Soil organic
106
matter content is around 1% (Yanardağ et al., 2016). There are no industrial and mining
107
activities in the plain. The Harran Plain has a total land area of 225,000 ha and about 150,000
108
ha is used for agricultural production (Isgin and Kara, 2015). The soils in the plain have been
109
irrigated by water from the Atatürk Dam Reservoir. Cotton, corn and wheat are the dominant
110
crops in the area. Large amounts of pesticides and fertilizers are used in the Harran Plain
111
(Bilgili et al., 2017). The plain has a semi-arid climate. The mean annual air temperature and
112
precipitation are 18 °C and 284 mm, respectively (Atasoy and Yesilnacar, 2010).
113 114
2.2. Sampling and analysis
115
In this study, the sampling points were selected to represent the entire study area. Thus, a total
116
of 204 surface (0-20 cm) soil samples in the Harran Plain (Fig. 1) were collected in summer
117
2015. The sampling was carried out randomly from agricultural soils far away from people’s
118
habitats as possible. A composite soil sample at each sampling point was obtained by mixing
119
four random subsamples. The collected soil samples were placed in nylon bags for
120
transportation to the laboratory. All samples were naturally air-dried; then, the dried samples
121
were passed through a 2 mm nylon sieve to remove stones, pebbles and plant fragments. The
122
sieved samples were powdered with mortar and pestle, passed through a 0.5 mm nylon sieve
123
and stored in clean polyethylene bottles.
124
5
125
In the present study, ten TEs, including Pb, As, Cr, Ni, Al, Fe, Co, Mn, Cu and Zn, were
126
analyzed in the soil samples. These elements were selected based on their significant
127
contribution to soil contamination and health risk (Rinklebe et al., 2019). The contents of ten
128
TEs were analyzed by the following method in an authorized laboratory of the Ministry of
129
Agriculture and Forestry of Turkey. Soil samples were digested in teflon vessels including a
130
mixture of concentrated HNO3 and HCl (1:1) using a microwave digestion system (CEM
131
MARS 6, USA). Then the solutions were diluted with ultrapure water to a final volume of 50
132
mL. Concentrations of ten TEs were measured by an Inductively Coupled Plasma – Optical
133
Emission Spectrometry (Agilent 5100, USA).
134 135
Quality assurance and quality control were performed using duplicates, method blanks and
136
certified reference material (CRM) (LGC6187, river sediment). Standard solutions obtained
137
by Merck (Darmstadt, Germany) were used for calibration curves. The ultrapure water was
138
used to prepare all solutions. The analytical precision was within ±10%. In this study, one
139
CRM was digested and analyzed with every 21 soil samples. The recoveries of TEs in the
140
CRM varied from 90.9% to 108.3% (Table S1). The limit of detection (LOD) and limit of
141
quantification (LOQ) for each element were calculated (Table S1). All analyses were done in
142
duplicate, and the mean values were used for data analysis.
143 144
2.3. Evaluation of environmental risks
145
2.3.1. Enrichment factor (EF)
146
EF is applied to assess the possible impact of human activities on TE concentrations in soils
147
(Wu et al., 2018). The EF is computed using the relationship below:
148
EF =
(1)
6
149
where Ci is the measured concentration of element (i) in soil samples and Cref is the
150
concentration of reference element for geochemical normalization (Mazurek at al., 2017). In
151
our study, Al was chosen as the reference element due to its abundant content and stability in
152
soil (Jia et al., 2018). Because of the unavailability of local geochemical background
153
concentrations of TEs, upper continental crust values reported by Rudnick and Gao (2004)
154
were used as geochemical background. The EF classes are given in Table S2.
155 156
2.3.2. Geoaccumulation index (Igeo)
157
Igeo is employed to assess the pollution levels of TEs in soils. This index is based on the
158
comparison of concentrations of TEs in soils with their respective geochemical background
159
values (Mazurek at al., 2017). It is defined by the following equation (Müller, 1969):
160
Igeo = log2 ".$×&
161
where Bi is the geochemical background value of trace element (i) (Rudnick and Gao, 2004)
162
and Ci is the concentration of trace element (i). The Igeo classes are presented in Table S2.
(2)
163 164
2.3.3. Contamination factor (Cf)
165
Cf is used to assess the degree of TE contamination in soils. Cf is calculated by the following
166
equation (Hakanson, 1980):
167
C = (
(
(3)
)
168
Where Ci is the concentration of trace element (i) and Cni is the background (pre-industrial)
169
value of trace element (i) (Rudnick and Gao, 2004). In Table S2, the Cf classes are given.
170 171
2.4. Evaluation of ecological risks
172
2.4.1. Potential ecological risk factor (Er)
7
173
Er is used to assess the potential ecological risk of a single element in soils (Hakanson, 1980),
174
which is expressed as follows:
175
E = T × C
176
where Tri is the toxic-response factor of trace element (i), they are 10, 2, 5, 5, 5 and 1 for As,
177
Cr, Cu, Ni, Pb and Zn, respectively (Hakanson, 1980). Cfi is the contamination factor of trace
178
element (i). The Er classes are presented in Table S2.
(4)
179 180
2.4.2. Potential ecological risk index (RI)
181
RI is used to assess the ecological risk of multielement in soils. It is defined as the sum of the
182
ecological risk factors (Hakanson, 1980).
183
+-." E = +-." T × C
184
Where Eri is the potential ecological risk factor of trace element (i) and n i the number of trace
185
elements (it is 6 in this study). In Table S2, the RI classes are given.
,
,
(5)
186 187
2.5. Human health risk assessment
188
In the current study, human health risks of TEs in soils of the Harran Plain were calculated for
189
residental adults and children. For soils, residents are exposed to TEs through accidental
190
ingestion, inhalation and dermal contact exposure pathways (USEPA, 2019a; Li et al., 2017).
191
Therefore, in the present study, health risks of TEs in soils of the Harran Plain were evaluated
192
using carcinogenic and non-carcinogenic risks through these three pathways. Carcinogenic
193
health risks were calculated only for As, Co, Cr and Ni due to the lack carcinogenic slope
194
factors of other TEs. Non-carcinogenic health risks from TEs in soil were estimated using the
195
hazard quotients (HQs) (Jia et al., 2018; Wu et al., 2018).
196
8
197
Non-carcinogenic risks (HQs) and carcinogenic risks (CRs) of TEs for residential receptors
198
through ingestion, dermal absorption and inhalation pathways are calculated using the
199
following equations (USEPA, 2019b).
200
Non-carcinogenic risks:
201
HQ121 =
202
HQ = 3 &; × 7< × 5 :
203
3 HQ1ℎ 21 = 7< × 5 × C89
3 × 456 ×5&7× 89 × 8: &; × 7< × 5 :=×">?
(6)
×67×79×7&6@ ×89 × 8: ? =×A47&6 ×">
(7)
×89 × 8:
204
Carcinogenic risks:
205
CR121 =
206 207
208 209
3 × 496 ×5&7×69= 7< × ">?
Where: IFS = CR =
(8)
89× 8:F × 456F &;F
(9) +
89× 8:H × 456H &;H
3 ×:96× 7&6@ ×69= 7< ×A47&6 ×">?
Where: DFS = CR1ℎ 21 =
89 × 8:F ×67F ×79F &;F
(10) +
89 × 8:H ×67H ×79H &;H
3 ×89×8:×4J5×">>>
(11)
7< ×C89
210 211
The total non-carcinogenic risks for each receptor were assessed by hazard index (HI), which
212
was the sum of the HQs for all exposure pathways. In addition, total carcinogenic risks (TCR)
213
were obtained by the sum of carcinogenic risks (CRs) for all pathways. Hazard index and total
214
carcinogenic risk are calculated using the following equations:
215
HI = HQ121 + HQ + HQ1ℎ 21
(12)
216
TCR = CR121 + CR + CR1ℎ 21
(13)
217 218
If HQ and HI values are below one, non-carcinogenic health effects are not expected. If the
219
values are above one, adverse non-carcinogenic health effects may occur (USEPA, 1989, 9
220
2004). The carcinogenic risks that range between 10-4 and 10-6 are considered to be acceptable
221
(USEPA, 1991a).
222 223
The values and units associated with these equations are given detailed in Tables 1 and 2. All
224
HQ, HI and CR values found in this study were confirmed using the USEPA RSL calculator
225
(USEPA, 2019c).
226 227
2.6. Statistical analyses
228
Pearson correlation analysis was performed to reveal the relationships among TEs (p<0.05).
229
Principal component analysis (PCA)/factor analysis (FA) was conducted to identify potential
230
sources of TEs in soils. Prior to PCA/FA, all analyzed data were standardized by z-scale
231
transformation. Bartlett’s sphericity and Kaiser-Meyer-Olkin (KMO) tests were employed to
232
test the suitability of the data for PCA/FA. All statistical analyses were performed by using
233
SPSS 11.5.
234 235
3. Results and discussion
236
3.1. The concentrations of trace elements (TEs) in soils
237
Basic statistics of ten TEs in soils of the Harran Plain are shown in Table 3. The pH values of
238
all soil samples were >7. As expected, Al was the most abundant trace element, followed by
239
Fe and Mn, which consistent with their concentrations in the upper continental crust (Table
240
3). Arsenic, Pb and Co were the less abundant trace elements. Overall, the mean values of all
241
TEs except Ni were below their respective limit values established by Turkish Soil Pollution
242
Control Regulation (SPCR, 2005) (Table 3). Maximum concentrations of Cr and Ni were
243
about 2.1 and 4.5 times higher than their corresponding limit values (Table 3). Concentrations
10
244
of Cr in 44 samples (21.6%) and Ni in 203 samples (99.5%) exceeded their limit values
245
(Table 3).
246 247
When compared with upper continental crust (UCC) values of TEs (Rudnick and Gao, 2004),
248
the concentrations of Zn and Cu were of the same order of magnitude, As and Ni were about
249
1.3 and 1.9 times higher than their respective UCC values, while Al, Co, Cr, Fe, Mn and Pb
250
were lower than their respective UCC values (Table 3). High concentrations of TEs respective
251
to UCC values might be a consequence of anthropogenic activities (Jia et al., 2018).
252 253
In comparison with world soil average values of TEs, the concentrations of As and Zn were of
254
the same order of magnitude, Co, Cr and Mn were slightly higher, which were about 1.4 times
255
higher than their corresponding worldwide average values (Kabata-Pendias, 2011), Ni,
256
however, was about 3.1 times greater than its worldwide average value (Table 3). Also, the
257
concentrations of Ni, Co, Cu and Mn were about 2.4, 1.5, 1.6 and 1.3 times higher than their
258
respective average values in European soils (Kabata-Pendias, 2011) (Table 3).
259 260
Compared with mean concentrations of TEs in agricultural soils of different regions in
261
Turkey, Cr, Cu, Mn, Ni, Pb and Zn concentrations in our study were much lower than those in
262
Bursa province (Aydinalp and Marinova, 2003). Also, Co and Ni concentrations in this study
263
were lower that those in Amik Plain (Karanlık et al., 2011), while Pb concentration was
264
higher. Arsenic, Co, Cu, Fe, Mn, Ni and Zn concentrations in soils of Thrace region were
265
lower than those in this study (Çoskun et al., 2006), whereas Cr and Pb concentrations were
266
higher (Table 3). In addition, Cr, Fe, Pb and Cu concentrations in soils of the Harran Plain
267
were lower than those in agricultural soils of Sinop province (Baltas et al., 2020), while Zn,
268
As and Ni concentrations were comparable. These results revealed that different regions had
11
269
different soil TE concentrations due to heterogeneity in human activities and natural mineral
270
weathering.
271 272
3.2. Environmental risk assessment
273
The descriptive statistics of EF, Igeo and Cf are given in Fig 2. And Table S3. The mean Igeo
274
values followed the descending order: Ni>Zn>Cu>Fe>Co>Cr=As>Mn>Pb and Al. The mean
275
Igeo value (0.3 ±0.3) for Ni was positive, while mean Igeo values for other elements were
276
negative, indicating that soils were unpolluted to moderately polluted by Ni, and soils were
277
unpolluted by other elements. Among ten trace elements, Ni and As had the highest mean
278
values of EF (2
279
other elements showed minimal enrichments with mean EF values below 2. Cf showed
280
consistent results with EF. Nickel and As showed the highest mean values of Cf (1
281
demonstrating moderate contamination with Ni and As, however, Cu, Cr, Pb and Zn showed
282
low contamination, as reflected by their Cf values below 1. Ungureanu et al. (2017) reported
283
that Ni content in agricultural soils can be influenced by fertilizers. The application of
284
fertilizers and pesticides is recognized as a significant factor in enhancing the level of arsenic
285
in agricultural soils (Zhou et al., 2018). Thus, Ni and As contamination in soils of the plain
286
can be closely related to the application of fertilizers and pesticides.
287 288
3.3. Ecological risk assessment
289
The basic statistics of potential ecological risk factor (Er) and ecological risk index (RI) are
290
given in Fig. 2. and Table S3. In general, Zn and Cr were trace elements, which had the least
291
ecological risk, while As and Ni had the highest Er values. However, both mean and
292
maximum Er values of As, Cr, Cu, Ni, Pb and Zn for all soil samples were less than 40,
293
indicating that 100% of the study area had low ecological risk. In this study, RI values ranged
12
294
from 15.8 to 59.4. Because RI values of all samples were < 150, soils of the Harran Plain had
295
low ecological risk. High RI values for soils are rarely reported in the literature. For instance,
296
Kumar et al. (2019) reported that agricultural soils of India showed high ecological risk (RI =
297
544) due to application of chemical fertilizers and pesticides. Similarly, Wu et al. (2019)
298
reported very high RI values in agricultural soils near a smelter in China.
299 300
3.4. Multivariate statistical methods
301
The relationships among TEs were examined using Pearson correlation matrix (Table S4).
302
Trace elements with high correlations may have a common source and mutual dependence
303
(Baltas et al., 2020; Dong et al., 2018; Pan et al., 2016b). The results showed that high
304
positive correlations existed among Al, Fe, Co, Cr, Cu, Ni, Zn, Pb and Mn (r>0.4; p<0.01),
305
indicating that these TEs in the soils of the Harran Plain were derived from similar sources.
306
However, As was negatively correlated with Al, Co, Cr, Cu, Fe, Ni and Zn (Table S4).
307 308
The KMO score (0.84) and Bartlett’s sphericity test value (p < 0.001) indicated that the data
309
set was appropriate for PCA/FA. In the present study, two varifactors (VFs) with eigenvalues
310
>1 which explained 75.5% of the total variance were obtained through FA (Table S5).
311 312
The first varifactor (VF1) had strong positive loadings (≥0.6) on Al, Cr, Co, Cu, Pb, Fe, Mn,
313
Ni and Zn, and VF1 accounted for 62.3% of the total variance (Table S5). The mean values of
314
Al, Cr, Co, Cu, Pb, Fe, Mn and Zn were comparable to or slightly lower than their
315
corresponding UCC values. Also, these eight elements exhibited significant positive
316
correlations with each other. Thus, they were mainly controlled by natural sources. This was
317
supported by low Igeo, EF and Cf values of these elements. However, the mean concentration
318
of Ni was 1.9 fold higher than its respective UCC value. Also, Ni showed higher Igeo, EF and
13
319
Cf values than other trace elements. High Ni concentrations in soils can originate from
320
various agricultural fertilizers (Ungureanu et al., 2017; Molina et al., 2009; Cai et al., 2015).
321
Nevertheless, Ni had strong positive correlations with Fe and Al, which are abundant trace
322
elements in earth crust. These findings suggested that Ni originated from both natural sources
323
and anthropogenic sources, similar to the findings by Baltas et al. (2020) and Ungureanu et al.
324
(2017). Thus, VF1 was primarily attributable to lithogenic sources although agricultural
325
activities partly contributed to Ni.
326 327
The second varifactor (VF2) had strong negative loading (-0.89) on As, and VF2 explained
328
13.2% of the total variance (Table S5). Arsenic was negatively correlated with Al, Co, Cr, Cu,
329
Fe, Ni and Zn, suggesting that As was derived from different sources. The mean concentration
330
of As was 1.3 fold higher than its respective UCC value. Also, soils of the Harran Plain had
331
moderate enrichment and moderate contamination with As in terms of mean EF and Cf values
332
of As, thus suggesting that arsenic was controlled by anthropogenic activities. There are no
333
industrial activities in the study area, where agriculture is the main activity. High As
334
concentrations were frequently reported in agricultural soils due to fertilizers, pesticides and
335
livestock manures (Zhou et al., 2018; Cai et al., 2015; Adimalla and Wang, 2018; Kabata-
336
Pendias, 2011). The Harran Plain is a significant agricultural area, and fertilizers, livestock
337
manures and pesticides are widely used in soils of the plain (Bilgili et al., 2017). VF2 was
338
hence mainly attributable to anthropogenic contribution.
339 340
3.5. Human health risk assessment
341
In this study, HQ, HI and total HI (THI) values for both adults and children were lower than 1
342
(Table 4), suggesting that all TEs in soil through ingestion, dermal contact and inhalation
343
pathways had no significant non-carcinogenic risks. Similar results were obtained by
14
344
Praveena et al. (2018), who studied surface soils of Klang district in Malaysia and reported
345
the THI values < 1 for adults and children. However, Jiang et al. (2017), studying health risk
346
assessment of TEs in soils of Jiangsu Province in China, reported that the THI values were
347
3.62 and 6.21 for adults and children, respectively. In our study, among TEs, Fe for ingestion,
348
Cr for dermal contact and Mn for inhalation had highest HQ values for both adults and
349
children, whereas Zn for ingestion and dermal contact, and As for inhalation had lowest HQ
350
values for both adults and children (Table 4). HQingestion values decreased in the order of
351
Fe>Co>Al>Cr>Mn>As>Pb>Ni>Cu>Zn for both adults and children, HQdermal values followed
352
the order of Cr>Mn>As>Ni>Fe>Co>Al>Pb>Cu>Zn for both adults and children, and
353
HQinhalation values were found in the order of Mn>Al>Co>Ni>Cr>As for both adults and
354
children (Table 4). Cumulative HQ (CHQ) values of three exposure pathways for adults
355
followed the order of CHQingestion> CHQdermal> CHQinhalation, whereas CHQ values for children
356
were followed the order of CHQingestion> CHQinhalation> CHQdermal (Table 4). In the present
357
study, total HI (THI) value calculated for children was 8.6 times higher that for adults (Table
358
4). Thus, we concluded that children are more sensitive to adverse health effects of TEs in
359
soils. High THI values for children were reported by many studies (Wu et al., 2018; Jia et al.,
360
2018; Pan et al., 2016a; Rinklebe et al., 2019; Baltas et al., 2020). HI values for adults
361
decreased in the order of Mn>Al>Co>Fe>Cr>As>Ni>Pb>>Cu>Zn, while HI values for
362
children followed the order of Co>Fe>Al>Cr>Mn>As>Pb>Ni>Cu>Zn (Table 4). Cumulative
363
HQ values of all TEs through ingestion accounted for 65.5% and 87.7% of THI for adults and
364
children, respectively.
365 366
The carcinogenic risk (CR) values of As, Co, Cr and Ni through ingestion, dermal contact and
367
inhalation pathways and total carcinogenic risk (TCR) values were within USEPA’s
368
acceptable risk range of 1×10−4 and 1×10−6 (Table 4), indicating that carcinogenic risks for
15
369
residential receptors were not expected. Similar were the findings in other areas in Turkey,
370
e.g., in Sinop province studied by Baltas et al. (2020). However, high carcinogenic risks were
371
determined in soils of the Qinghai-Tibet Plateau (Wu et al., 2018). In this study, TCR values
372
decreased in the order of Cr>As>Co>Ni. The cumulative carcinogenic risk (CCR) values for
373
three exposure pathways followed the order of CCRingestion> CCRdermal> CCRinhalation. The
374
CCRingestion value was 2.3 and 13.5 times higher than CCRdermal and CCRinhalation values,
375
respectively. The CCRingestion value accounted for 66.5% of cumulative TCR (CTCR) value.
376
Chromium was the main contributor for the CTCR through ingestion and dermal contact, with
377
the highest contributions of 64.6% and 27.4%, respectively.
378 379
4. Conclusions
380
Among trace elements, only the mean value of Ni was above its respective limit value
381
established by Turkish Soil Pollution Control Regulation. Cobalt, Cr and Mn were 1.4 times
382
higher than their corresponding worldwide average values, while Ni was 3.1 times greater.
383
Based on mean Igeo values, soils were unpolluted to moderately polluted by Ni, and soils
384
were unpolluted by other TEs. Soils of the Harran Plain had moderate enrichment and
385
moderate contamination with Ni and As, while other trace elements showed minimal
386
enrichment and low contamination. According to Er and RI values, 100% of the study area
387
had low ecological risk. In terms of HQ values, children were more susceptible to non-
388
carcinogenic health effects of TEs. However, non-carcinogenic health effects from TEs in soil
389
through ingestion, dermal contact and inhalation pathways were not expected for both adults
390
and children. Also, the carcinogenic risk values of As, Co, Cr and Ni were within the
391
acceptable risk range, indicating that there were no significant carcinogenic risks for
392
residential receptors. The PCA/FA and correlation analysis demonstrated that Al, Pb, Cr, Cu,
393
Zn, Co, Mn and Fe were controlled by natural sources, Ni by both anthropogenic and natural
16
394
sources, whereas arsenic was controlled by anthropogenic sources (agro-chemicals). These
395
findings show that our study may serve as a model when addressing contamination-related
396
risk in agricultural areas where agro-chemicals are intensively used. Also, further studies
397
concerning TE contamination risk in common crops in the plain and the potential health
398
hazards are recommended. In addition, routine monitoring programs should be performed in
399
the plain.
400 401
Acknowledgements
402
Special thanks are given to the editor Professor Martine Leermakers and anonymous
403
reviewers for their constructive comments and suggestions for improving this manuscript.
404 405
References
406
Acosta, J.A., Gabarron, M., Faz, A., Martinez-Martinez, S., Zornoza, R., Arocena, J.M., 2015.
407
Influence of population density on the concentration and speciation of metals in the
408
soil and street dust from urban areas. Chemosphere 134, 328-337.
409
Adimalla, N., Wang, H., 2018. Distribution, contamination, and health risk assessment of
410
heavy metals in surface soils from northern Telangana, India. Arab. J. Geosci. 11, 684.
411
Antoniadis, V., Levizou, E., Shaheen, S.M., Ok, Y.S., Sebastian, A., Baum, C., Prasad,
412
M.N.V., Wenzel, W.W., Rinklebe, J., 2017. Trace elements in the soil-plant interface:
413
phytoavailability, translocation, and phytoremediation—a review. Earth-Sci. Rev. 171,
414
621–645.
415
Antoniadis, V., Shaheen, S.M., Levizou, E., Shahid, M., Niazi, N.K., Vithanage, M., Ok,
416
Y.S., Bolan, N., Rinklebe, J., 2019. A critical prospective analysis of the potential
417
toxicity of trace element regulation limits in soils worldwide: Are they protective
418
concerning health risk assessment? - A review. Environ. Int. 127, 819-847.
17
419
Atasoy, A.D., Yesilnacar, M.I., 2010. Effect of high sulfate concentration on the corrosivity: a
420
case study from groundwater in Harran Plain, Turkey. Environ. Monit. Assess. 166,
421
595-607.
422 423
Aydinalp, C., Marinova, S., 2003. Distribution and forms of heavy metals in some agricultural soils. Pol. J. Environ. Stud. 12, 629-633.
424
Baltas, H., Sirin, M., Gökbayrak, E., Ozcelik, A.E., 2020. A case study on pollution and a
425
human health risk assessment of heavy metals in agricultural soils around Sinop
426
province, Turkey. Chemosphere 241, 125015.
427 428
Bilgili, A.V., Küçük, Ç., Es, H.M.V., 2017. Assessment of the quality of the Harran Plain soils under long-term cultivation. Environ. Monit. Assess. 189, 460.
429
Cai, L., Xu, Z., Bao, P., He, M., Dou, L., Chen, L., Zhou, Y., Zhu, Y.G., 2015. Multivariate
430
and geostatistical analyses of the spatial distribution and source of arsenic and heavy
431
metals in the agricultural soils in Shunde, Southeast China. J. Geochem. Explor. 148,
432
189-195.
433 434
Chen, H., Teng, Y., Lu, S., Wang, Y., Wang, J., 2015. Contamination features and health risk of soil heavy metals in China. Sci. Total Environ. 512-513, 143-153.
435
Coşkun, M., Steinnes, E., Frontasyeva, M.V., Sjobakk, T.E., Demkina S., 2006. Heavy metal
436
pollution of surface soil in the Thrace region, Turkey. Environ. Monit. Assess. 119,
437
545-556.
438 439
Dartan, G., Taşpınar, F., Toröz, İ., Assessment of heavy metals in agricultural soils and their source apportionment: a Turkish district survey. Environ. Monit. Assess. 187, 99.
440
Dong, R., Jia, Z., Li, S., 2018. Risk assessment and sources identification of soil heavy metals
441
in a typical county of Chongqing Municipality, Southwest China. Process Saf.
442
Environ. 113, 275-281.
18
443 444
Hakanson, L., 1980. An ecological risk index for aquatic pollution control, a sedimentological approach. Water Res. 14, 975-1001.
445
Huang, Y., Chen, Q., Deng, M., Japenga, J., Li, T., Yang, X., He, Z., 2018. Heavy metal
446
pollution and health risk assessment of agricultural soils in a typical peri-urban area in
447
southeast China. J. Environ. Manag. 207, 159–168.
448
Huang, J., Li, F., Zeng, G., Huang, X., Liu, W.,Wu, H., Li, X., He, X.X., He, Y., 2016.
449
Integrating hierarchical bioavailability and population distribution into potential eco-
450
risk assessment of heavy metals in road dust: a case study in Xiandao District,
451
Changsha city, China. Sci. Total Environ. 541, 969–976.
452
Isgin, T., Kara, F.Ö., 2015. Impacts of the Harran Plain irrigation projects on the well-being
453
of local cotton farmers operating in the Sanliurfa province of Turkey: Income
454
distribution revisited. J. Agric. Sci. 21, 483-491.
455
Islam, M.S., Ahmed, M.K., Habibullah-Al-Mamun, M., 2016. Apportionment of heavy metals
456
in soil and vegetables and associated health risks assessment. Stoch. Environ. Res.
457
Risk Assess. 30, 365-377.
458
Jia, Z., Li, S., Wang, Li., 2018. Assessment of soil heavy metals for eco-environment and
459
human health in a rapidly urbanization area of the upper Yangtze Basin. Sci. Rep. 8,
460
3256.
461
Jiang, Y., Chao, S., Liu, J., Yang, Y., Chen, Y., Zhang, A., Cao, H., 2017. Source
462
apportionment and health risk assessment of heavy metals in soil for a township in
463
Jiangsu Province, China. Chemosphere 168, 1658-1668.
464 465 466 467
Kabata-Pendias, A., 2011. Trace Elements of Soils and Plants, fourth ed. CRC Press, Taylor & Francis Group, pp. 28-534. Karanlık, S., Ağca, N., Yalçın, M., 2011. Spatial distribution of heavy metals content in soils of Amik Plain (Hatay, Turkey). Environ. Monit. Assess. 173, 181-191.
19
468
Kumar, V., Sharma, A., Kaur, P., Sidhu, G.P.S., Bali, A.S., Bhardwaj, R., Thukral,
469
A.K., Cerda, A., 2019. Pollution assessment of heavy metals in soils of India
470
ecological risk assessment: A state-of-the-art. Chemosphere 216, 449-462.
and
471
Li, F., Zhang, J., Liu, W., Liu, J., Huang, J., Zeng, G., 2018. An exploration of an integrated
472
stochastic-fuzzy pollution assessment for heavy metals in urban topsoil based on metal
473
enrichment and bioaccessibility. Sci. Total Environ. 644, 649-660.
474
Li, F., Zhang, J., Jiang,W., Liu, C., Zhang, Z., Zhang, C., Zeng, G., 2017. Spatial health risk
475
assessment and hierarchical risk management for mercury in soils from a typical
476
contaminated site, China. Environ. Geochem. Health 39, 923–934.
477
Marchand, C., Allenbach, M., Lallier-Verges, E., 2011. Relationships between heavy metals
478
distribution and organic matter cycling in mangrove sediments (Conception Bay, New
479
Caledonia). Geoderma 160, 444-456.
480
Mazurek, R., Kowalska, J., Gasiorek, M., Zadrozny, P., Jozefowska, A., Zaleski, T., Kepka,
481
W., Tymczuk, M., Orlowska, K., 2017. Assessment of heavy metals contamination in
482
surface layers of Roztocze National Park forest soils (SE Poland) by indices of
483
pollution, Chemosphere 168, 839-850.
484
Mazurek, R., Kowalska, J.B., Gasiorek, M., Zadrozny, P., Wieczorek, J. 2019. Pollution
485
indices as comprehensive tools for evaluation of the accumulation and provenance of
486
potentially toxic elements in soils in Ojców National Park. J. Geochem. Explor. 201,
487
13-30.
488
Molina, M., Aburto, F., Calderon, R., Cazanga, M., Escudey, M., 2009. Trace element
489
composition of selected fertilizers used in Chile: phosphorus fertilizers as a source of
490
long-term soil contamination. Soil Sediment Contam. 18, 497-511.
20
491
Muhammad, S., Shah, M.T., Khan, S., 2011. Health risk assessment of heavy metals and their
492
source apportionment in drinking water of Kohistan region, northern Pakistan.
493
Microchem. J. 98, 334–343.
494 495
Müller, G., 1969. Index of geo-accumulation in sediments of the Rhine river. Geojournal 2, 108-118.
496
Ni, M., Mao, R., Jia, Z., Dong, R., Li, S., 2018. Heavy metals in soils of Hechuan County in
497
the upper Yangtze (SW China): Comparative pollution assessment using multiple
498
indices with high-spatial resolution sampling. Ecotoxicol. Environ. Saf. 148, 644-651.
499
Pan, L., Ma, J., Hu, Y., Su, B., Fang, G., Wang, Y., Wang, Z., Wang, L., Xiang, B., 2016a.
500
Assessments of levels, potential ecological risk, and human health risk of heavy metals
501
in the soils from a typical county in Shanxi Province, China. Environ. Sci. Pollut. Res.
502
23, 19330–19340.
503
Pan, L., Ma, J., Wang, X., Hou, H., 2016b. Heavy metals in soils from a typical county in
504
Shanxi Province, China: Levels, sources and spatial distribution. Chemosphere 148,
505
248-254.
506
Praveena, S.M., Pradhan, B., Aris, A.A., 2018. Assessment of bioavailability and human
507
health exposure risk to heavy metals in surface soils (Klang district, Malaysia). Toxin
508
Rev. 37, 196-205.
509
Rinklebe, J., Antoniadis, V., Shaheen, S.M., Rosche, O., Altermann, M., 2019. Health risk
510
assessment of potentially toxic elements in soils along the Central Elbe River,
511
Germany. Environ. Int., 126, 76-88.
512
Rivera, M.B., Fernandez-Caliani, J.C., Giraldez, M.I., 2015. Geoavailability of lithogenic
513
trace elements of environmental concern and supergene enrichment in soils of the
514
Sierra de Aracena Natural Park (SW Spain). Geoderma 259-260, 164-173.
21
515
Rudnick, R.L., Gao, S., 2004. Composition of the continental crust, in: Holland, H.D.,
516
Turekian, K.K. (Eds), Treatise on Geochemistry. Elsevier, Amsterdam, pp 1-51.
517
Shi, T., Ma, J., Zhang, Y., Liu, C., Hu, Y., Gong, Y., Wu, X., Ju, T., Hou, H., Zhao, L., 2019.
518
Status of lead accumulation in agricultural soils across China (1979–2016). Environ.
519
Int. 129, 35-41.
520 521 522 523
SPCR, 2005. Soil Pollution Control Regulation. Republic of Turkey Ministry of Environment and Forestry. Official Gazette No, 25831. Teng, Y., Wu, J., Lu, S., Wang, Y., Jiao, X., Song, L., 2014. Soil and soil environmental quality monitoring in China: A review. Environ. Int. 69, 177-199.
524
Ungureanu, T., Iancu, G.O., Pintilei, M., Chicoș, M.M., 2017. Spatial distribution and
525
geochemistry of heavy metals in soils: a case study from the NE area of Vaslui county,
526
Romania. J. Geochem. Explor. 176, 20-32.
527
USEPA, 1989. Risk assessment guidance for Superfund. Volume I: Human health evaluation
528
manual (Part A). Interim Final. Office of Emergency and Remedial Response.
529
EPA/540/1-89/002.
530
USEPA, 1991a. Risk Assessment Guidance for Superfund, Volume I: Human Health
531
Evaluation Manual (Part B, Development of Risk-Based Preliminary Remediation
532
Goals). Office of Emergency and Remedial Response. EPA/540/R-92/003.
533 534 535 536
USEPA, 1991b. Human health evaluation manual, supplemental guidance: "Standard default exposure factors ". OSWER Directive 9285.6-03. USEPA, 2002. Supplemental Guidance for Developing Soil Screening Levels for Superfund Sites. OSWER 9355.4-24.
537
USEPA, 2004. Risk Assessment Guidance for Superfund Volume I: Human Health
538
Evaluation Manual (Part E, Supplemental Guidance for Dermal Risk Assessment)
539
Final. OSWER 9285.7-02EP.July 2004.
22
540 541 542
USEPA, 2011. Exposure Factors Handbook 2011 Edition. National Center for Environmental Assessment, Office of Research and Development. Washington D.C. USEPA,
2019a.
Exposure
Assessment
Tools
by
Media
-
Soil
and
543
https://www.epa.gov/expobox/exposure-assessment-tools-media-soil-and-dust,
544
Accessed date: 08 May 2019.
545
USEPA,
2019b.
Regional
Screening
Levels
(RSLs)
–
Dust.
Equations.
546
https://www.epa.gov/risk/regional-screening-levels-rsls-equations, Accessed date: 08
547
May 2019.
548 549 550
USEPA, 2019c. RSL Calculator. https://epa-prgs.ornl.gov/cgi-bin/chemicals/csl_search, Accessed date: 10 May 2019. USEPA,
2019d.
Regional
Screening
Levels
(RSLs)
-
User's
Guide.
551
https://www.epa.gov/risk/regional-screening-levels-rsls-users-guide, Accessed date:
552
10 May 2019.
553
USEPA, 2019e. Regional Removal Management Level (RML) Resident Soil Table (TR=1E-
554
04, HQ=3) April 2019. https://semspub.epa.gov/work/HQ/199436.pdf, Accessed date:
555
10 May 2019.
556
Wang, C., Liu, S., Zhao, Q., Deng, L., Dong, S., 2012. Spatial variation and contamination
557
assessment of heavy metals in sediments in the Manwan Reservoir, Lancang River.
558
Ecotoxicol. Environ. Saf. 82, 32-39.
559
Wu, J., Lu, J., Li, L., Min, X., Luo, Y., 2018. Pollution, ecological-health risks, and sources of
560
heavy metals in soil of the northeastern Qinghai-Tibet Plateau. Chemosphere 201,
561
234-242.
562
Wu, H., Yang, F., Li, H., Li, Q., Zhang, F., Ba, Y., Cui, L., Sun, L., Lv, T., Wang, N., Zhu, J.,
563
2019. Heavy metal pollution and health risk assessment of agricultural soil near a
564
smelter in an industrial city in China. Int. J. Environ. Health. Res.
23
565
Yanardağ, A.B., Mermut, A.R., Cano, A.F., Garces, D.M.C., Yanardağ, İ.H, 2016. Cadmium
566
contents of soils and durum and bread wheats on Harran Plain, southeast Turkey.
567
Turk. J. Agric. For. 40, 772-782.
568
Yang, Q., Li, Z., Lu, X., Duan, Q., Huang, L., Bi, J., 2018. A review of soil heavy metal
569
pollution from industrial and agricultural regions in China: Pollution and risk
570
assessment. Sci. Total Environ. 642, 690-700.
571 572
Yaylalı-Abanuz, G., 2011. Heavy metal contamination of surface soil around Gebze industrial area, Turkey. Microchem. J. 99, 82-92.
573
Ye, S., Zeng, G., Wu, H., Zhang, C., Dai, J., Liang, J., Yu, J., Ren, X., Yi, H., Cheng, M.,
574
Zhang, C., 2017a. Biological technologies for the remediation of co-contaminated soil.
575
Crit. Rev. Biotechnol. 37, 1062–1076.
576
Ye, S., Zeng, G., Wu, H., Zhang, C., Liang, J., Dai, J., Liu, Z., Xiong, W., Wan, J., Xu, P.,
577
Cheng, M., 2017b. Co-occurrence and interactions of pollutants, and their impacts on
578
soil remediation-a review. Crit. Rev. Environ. Sci. Technol. 47, 1528–1553.
579
Ye, S., Zeng, G., Wu, H., Liang, J., Zhang, C., Dai, J., Xiong, W., Song, B., Wu, S., Yu, J.,
580
2019. The effects of activated biochar addition on remediation efficiency of
581
cocomposting with contaminated wetland soil. Resour. Conserv. Recyl. 140, 278-285.
582
Zhou, Y., Niu, L., Liu, K., Yin, S., Liu, W., 2018. Arsenic in agricultural soils across China:
583
Distribution pattern, accumulation trend, influencing factors, and risk assessment. Sci.
584
Total Environ. 616-617, 156-163.
585 586 587 588 589
24
Table 1. Parameters and their values associated with health risk assessment for trace elements in soils Parameters Metal concentration Body weight-adult Body weight-child Exposure duration-child Exposure duration-adult Exposure frequency Skin surface area-adult Skin surface area-child Soil intake ratio-adult Soil intake ratio-child Averaging time-child Averaging time-adult Skin adherence factor-adult Skin adherence factor-child Soil ingestion ratio Soil dermal contact factor Life time Averaging time
Symbols Cs BW a BW c EDc EDa EF SAa SAc IRSa IRSc ATc ATa AFa AFc IFS DFS LT AT
Units mg/kg kg kg years years days/year 2 cm 2 cm mg/day mg/day days days 2 mg/cm 2 mg/cm mg/kg mg/kg years days
Values 70 15 6 20 350 6032 2373 20 50 365 x EDc (non-carcinogenic) 365 x EDa (non-carcinogenic) 0.07 0.2 Age-adjusted Age-adjusted 76 365 × LT = 27740 (carcinogenic)
References Site-specific Site-specific USEPA (1991b) USEPA (1991b) USEPA (2019d) USEPA (1991b) USEPA (2011) USEPA (2011) Jia et al. (2018) Jia et al. (2018) USEPA (1989) USEPA (1989) USEPA (2002) USEPA (2002) USEPA (2019d) USEPA (2019d) Site-specific Site-specific
Table 2. Relative bioavailability factor, dermal absorption fraction, oral reference dose, oral slope factor, gastrointestinal absorption, inhalation reference concentration, particulate emission factor and inhalation unit risk values for each trace element
Metal
Al As
a
Relative bioavailability factor (RBA) (unitless) 1 0.6
Dermal absorption fraction (ABSd) (unitless) 0.001 0.03
Oral reference dose (RfDo) (mg/kg-day)
Oral slope factor (CSFo) -1 (mg/kg-day)
Gastrointestinal absorption (GIABS) (unitless)
1
-
1
0.0003
1.5
1
Co
1
0.001
0.0003
-
1
b
1
0.001
0.003
0.5
0.025
Cu
1
0.001
0.04
-
1
Cr
Fe Mn Ni Pb Zn References a b
Inorganic As Cr(VI)
1 1 1 1
0.001 0.001 0.001 0.001
1
0.001
USEPA (2019d)
USEPA (2004)
0.7 0.024 0.02 0.0014 0.3 USEPA (2019e), Jia et al. (2018)
-
1 0.04 0.04 1
Inhalation reference concentration (RFC) 3 (mg/m ) 0.005000 0.000015 0.000006 0.000100 0.000050 0.000090 -
Particulate emission factor (PEF) 3 (m /kg)
Inhalation unit risk (IUR) 3 -1 (µg/m )
9
-
9
0.0043
9
0.0090
9
0.0840
9
-
9
-
9
-
9
0.0003
9
-
9
1.36×10 1.36×10 1.36×10
1.36×10 1.36×10 1.36×10 1.36×10 1.36×10
1.36×10
-
1
-
1.36×10
-
USEPA (2019e)
USEPA (2019e)
USEPA (2019e)
USEPA (2019e)
USEPA (2019e)
Table 3. Summary statistics of trace elements in soils of Harran Plain and comparison with other studies, regulation and average values in upper crust, Europe soils and worldwide soils Harran Plain
Al
As
Co
Cr
Cu
Fe
Mn
Ni
Pb
Zn
References
Mean
42692
6.36
16
85
27
37505
679
89
10.6
68
This study
Median
41946
5.6
16
83
27
37225
640
86
10.5
64
This study
Standard deviation
9069
4.3
3.4
18
5.6
6992
162
24
2
18
This study
Standard error
635
0.3
0.24
1.27
0.39
490
11.3
1.7
0.137
1,26
This study
Minimum
23850
0.13
9
55
15
21859
420
47
5.8
40
This study
Maximum
85916
65237
18.31
34
214
47
1409
334
16.5
197
This study
Worldwide soils
6.83
11.3
59.5
38.9
488
29
27
70
(Kabata-Pendias, 2011)
Europe soils
11.6
10.4
94.8
17.3
524
37
32
68.1
(Kabata-Pendias, 2011)
100
140
4.8
17.3
92
28
125
40
173
20
26900
194.73
43.19
38849
Turkish Soil Pollution Control Regulation Upper continental crust (UCC)
81500
Amik Plain, Turkey
39200
75
300
300
(SPCR, 2005)
774
47
17
67
(Rudnick and Gao, 2003)
274
5.6
1667
158
81
477
(Aydinalp and Marinova, 2003)
20.4
Bursa city, Turkey Thrace region, Turkey
8
Sinop province, Turkey
5.66
11
600
(Karanlık et al., 2011)
50
33
45
(Çoskun et al., 2006)
85.02
17.01
65.1
(Baltas et al., 2020)
Table 4. Non-carcinogenic (HQ, CHQ, HI and THI) and carcinogenic (CR, CCR, TCR and CTCR) risks for residential receptors
Al
Noncarcinogenic risks for child
Noncarcinogenic risks for adult
HQ ingestion
HQ HQ dermal inhalation
THI
CR ingestion
CR dermal
CR inhalation
TCR
HQ dermal
HQ inhalation
HI
HQ ingestion
Carcinogenic risks
1.36E-01
1.30E-03
6.02E-03
1.44E-01
1.17E-02
2.47E-04
6.02E-03
1.80E-02
-
-
-
-
a
4.07E-02
1.93E-02
2.99E-04
6.03E-02
3.48E-03
3.68E-03
2.99E-04
7.46E-03
1.86E-06
1.12E-06
6.60E-09
2.98E-06
b
9.06E-02
3.44E-02
6.00E-04
1.26E-01
7.76E-03
6.56E-03
6.00E-04
1.49E-02
6.33E-05
2.69E-05
4.77E-06
9.50E-05
Co
1.70E-01
1.62E-03
1.88E-03
1.74E-01
1.46E-02
3.08E-04
1.88E-03
1.68E-02
-
-
3.48E-08
3.48E-08
Cu
2.16E-03
2.05E-05
-
2.18E-03
1.85E-04
3.90E-06
-
1.89E-04
-
-
-
-
Fe
1.71E-01
1.63E-03
-
1.73E-01
1.47E-02
3.10E-04
-
1.50E-02
-
-
-
-
Pb
2.42E-02
2.30E-04
-
2.44E-02
2.07E-03
4.38E-05
-
2.12E-03
-
-
-
-
Mn
9.04E-02
2.15E-02
9.58E-03
1.21E-01
7.75E-03
4.09E-03
9.58E-03
2.14E-02
-
-
-
-
Ni
1.42E-02
3.38E-03
6.98E-04
1.83E-02
1.22E-03
6.43E-04
6.98E-04
2.56E-03
-
-
5.58E-09
5.58E-09
Zn
7.25E-04
6.88E-06
-
7.31E-04
6.21E-05
1.31E-06
-
6.34E-05
-
-
-
-
CHQ
CHQ
CHQ
THI
CHQ
CHQ
CHQ
THI
CCR
CCR
CCR
CTCR
7.40E-01
8.34E-02
1.91E-02
8.44E-01
6.35E-02
1.59E-02
1.91E-02
9.85E-02
6.52E-05
2.80E-05
4.82E-06
9.80E-05
As Cr
HQ: hazard quotient; CHQ: cumulative HQ; HI: hazard index; THI: total HI; CR: carcinogenic risk; CCR: cumulative CR; TCR: total CR; CTCR: cumulative TCR a Inorganic As b Cr(VI)
Fig. 1. Location and sampling sites of the study area
Fig. 2. Boxplots of enrichment factor (EF) (a), geoaccumulation index (Igeo) (b), contamination factor (Cf) (c) and potential ecological risk factor (Er) (d) for trace elements in the study area
Highlights ► Ecological risk index values indicated that study area had low ecological risk ► All metals except Ni and As showed minimal enrichment and low contamination. ► Children were more susceptible to non-carcinogenic health effects than adults ► According to risk assessment methods, Harran Plain soils are safe for human health ► PCA/FA indicated that As and Ni derived from anthropogenic sources
Author Contribution Statement Halil Aytop and Cafer Hakan Yılmaz collected the soils samples. Muhammet Raşit Sünbül, Halil Aytop and Cafer Hakan Yılmaz performed trace element analysis of the samples by ICP-OES. Memet Varol analysed the data, completed data interpretation, and drafted the manuscript. All the authors contributed to manuscript writing.
Declaration of interests ☒ The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. ☐The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: