<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">NR</journal-id><journal-title-group><journal-title>Natural Resources</journal-title></journal-title-group><issn pub-type="epub">2158-706X</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/nr.2019.106013</article-id><article-id pub-id-type="publisher-id">NR-93290</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Urban Soil Pollution with Heavy Metals in Hama Floodplain, Syria
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hussam</surname><given-names>H. M. Husein</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mouhiddin</surname><given-names>Kalkha</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ahmad</surname><given-names>Al Jrdi</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rupert</surname><given-names>Bäumler</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>FAU Erlangen-Nuremberg University, Institute of Geography, Germany</addr-line></aff><aff id="aff3"><addr-line>Al Baath University, Faculty of Agriculture, Department of Soil and Land Reclamation, Syria</addr-line></aff><aff id="aff2"><addr-line>General Commission for Scientific Agricultural Research, Damascus, Syria</addr-line></aff><pub-date pub-type="epub"><day>26</day><month>06</month><year>2019</year></pub-date><volume>10</volume><issue>06</issue><fpage>187</fpage><lpage>201</lpage><history><date date-type="received"><day>18,</day>	<month>April</month>	<year>2019</year></date><date date-type="rev-recd"><day>24,</day>	<month>June</month>	<year>2019</year>	</date><date date-type="accepted"><day>27,</day>	<month>June</month>	<year>2019</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  The Orontes river basin can be considered one of the most polluted areas in the eastern Mediterranean due to the intense urban occupation, intensive agriculture irrigation, and large numbers of different industries activities. The objective of the study was to assess the extent and severity of heavy metal pollution of arable soils of Hama floodplain, in order to provide a general insight vision of pollution status in this intensive agricultural production area. The present and spatial distribution of four heavy metals (Cd, Cu, Pb, Zn) concentration
   
  have been examined in 5 monitoring sites of river’s water
   
  along the part of the river passing through the plain of Hama; 
  and also from 93 samples of topsoil from the area surrounding the city of Hama have been examined. The concentrations of heavy metals in both river water and soil were within the international standards. Water analyses indicated pH of moderately alkaline, no irrigation problem related to ammonium nitrogen and phosphate phosphorus, while the Electrical Conductivity (EC) has referred to an increasing problem. Geo-accumulation Index (Igeo) refers to strong building up for Cd, Pb, and very strongly for Cu. Soil analyses refer to clayey, calcareous, and alkaline soil with pH ranges from 7.5 to 8.6, with significantly higher organic matter content especially near sewage plants, attributed to irrigation with untreated sewage sludge water. Geostatistical analysis of data showed up normal spatial distribution related to the high variation between the values of the studied elements; whereas the Cu and Cd concentrations were higher than allowable limit near the steel, rubber wheel factories and reach 127 for Cu and 9.8 μg&#183;g<sup>-1</sup> for Cd. Additionally, a high concentration of Cu was significantly associated with organic matter content. The concentration of Pb was within the limits, with the exception of riverbanks where the values of Pb exceed 95 μg&#183;g<sup>-1</sup>, with (Igeo) of 4.22 refers strongly to very strong accumulation. Total Zn concentration showed higher variability and values ranging from 13 to 760 μg&#183;g<sup>-1</sup>, with a distribution trend increases from southeast to northwest. However, its environmental risk will be more serious to human and livestock.
 
</p></abstract><kwd-group><kwd>Pollution</kwd><kwd> Heavy Metal</kwd><kwd> Geo-Accumulation Index</kwd><kwd> Enrichment Factor</kwd><kwd>  Geostatistical Analyses</kwd><kwd> Orontes Basin</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Soil pollution refers to the presence of chemical or substance out of place and/or present at higher than the normal concentration that has adverse effects on any non-targeted organism [<xref ref-type="bibr" rid="scirp.93290-ref1">1</xref>], and poses an increasing threat to human health and environmental quality [<xref ref-type="bibr" rid="scirp.93290-ref2">2</xref>] . Industrialization, wars, mining, and intensification in agriculture have left a legacy of contaminated soils around the world [<xref ref-type="bibr" rid="scirp.93290-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.93290-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.93290-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.93290-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.93290-ref7">7</xref>] . The term “heavy metals” refers to the group of metals and metalloids which are naturally occurring in soil [<xref ref-type="bibr" rid="scirp.93290-ref8">8</xref>], and relatively high atomic mass (&gt;4.5 g/cm<sup>3</sup>) such as Pb, Cd, Cu, Hg, Sn, and Zn, that can cause toxicity problems [<xref ref-type="bibr" rid="scirp.93290-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.93290-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.93290-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.93290-ref12">12</xref>] . Their concentrations increased by geological and anthropogenic activates, the metal from anthropogenic tend to be more mobile than those from pedogenic or lithogenic sources [<xref ref-type="bibr" rid="scirp.93290-ref13">13</xref>] such as the excess use of agrochemicals [<xref ref-type="bibr" rid="scirp.93290-ref14">14</xref>], sewage sludge and municipal waste disposal [<xref ref-type="bibr" rid="scirp.93290-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.93290-ref16">16</xref>] . Soil contamination with heavy metals Sprawls in many regions of the world [<xref ref-type="bibr" rid="scirp.93290-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.93290-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.93290-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.93290-ref20">20</xref>] . Unlike organic contaminants, heavy metals cannot be degraded [<xref ref-type="bibr" rid="scirp.93290-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.93290-ref22">22</xref>] and easy to contaminate the food chain [<xref ref-type="bibr" rid="scirp.93290-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.93290-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.93290-ref25">25</xref>] . Soil can easily be polluted by heavy metal from many sources, such as atmospheric deposition, sewage irrigation, improper stacking of the industrial solid waste, mining activities, the use of pesticides and fertilizers [<xref ref-type="bibr" rid="scirp.93290-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.93290-ref27">27</xref>] . Globally, 80 percent of municipal wastewater is discharged into water bodies untreated, and industry is responsible for dumping millions of tonnes of heavy metals, solvents, toxic sludge and other wastes into water bodies each year [<xref ref-type="bibr" rid="scirp.93290-ref28">28</xref>] . Agriculture, which accounts for 70 percent of water abstractions worldwide, plays a major role in soil pollution, as the use of industrial or municipal wastewater in agriculture is a common practice in many parts of the world. Fifteen years ago, at least 20 million hectares in 50 countries were irrigated with un- or partially treated wastewater [<xref ref-type="bibr" rid="scirp.93290-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.93290-ref30">30</xref>] . In fact, wastewater use varies considerably from one region to another, in Hanoi, Vietnam, for instance, up to 80 percent of vegetables produced are irrigated with wastewater [<xref ref-type="bibr" rid="scirp.93290-ref31">31</xref>] . Irrigation plays a crucial role in agriculture in arid and semi-arid climate zones [<xref ref-type="bibr" rid="scirp.93290-ref32">32</xref>], it is very important for food security. In zones where annual precipitation was insufficient for rain-fed agriculture, such as the areas with a Mediterranean climate in the Near East, irrigation could make a major economic difference [<xref ref-type="bibr" rid="scirp.93290-ref32">32</xref>] . In Orontes basin, the accelerated demand for water pushes local farmers to use non-conventional water for irrigation as the sources of fresh water became short. The non-conventional water in last decades becomes more polluted because of climate change, population growth, and increasing of human activities. Wastewater irrigation has opposite aspects; beneficial which providing a reliable source of water supply, when the availability of good quality water becomes scarce [<xref ref-type="bibr" rid="scirp.93290-ref33">33</xref>], its reliability in arid areas [<xref ref-type="bibr" rid="scirp.93290-ref34">34</xref>] [<xref ref-type="bibr" rid="scirp.93290-ref35">35</xref>], adding valuable plant nutrients and organic matter to soil [<xref ref-type="bibr" rid="scirp.93290-ref36">36</xref>] [<xref ref-type="bibr" rid="scirp.93290-ref37">37</xref>] . Despite these advantages, it has detrimental aspect where it can profoundly affect the soil moisture, aeration regime, surface properties, biological activity, toxic chemicals like heavy metals and pesticides in the water [<xref ref-type="bibr" rid="scirp.93290-ref36">36</xref>] and many other environmentally important functions of the soil system. The use of treated and non-treated wastewater for agricultural irrigation, which is rich in heavy metal, is common in arid and semiarid regions as a solution to water scarcity [<xref ref-type="bibr" rid="scirp.93290-ref38">38</xref>] [<xref ref-type="bibr" rid="scirp.93290-ref39">39</xref>] [<xref ref-type="bibr" rid="scirp.93290-ref40">40</xref>] . Although soil often acts as a filter, purifying and immobilizing many of the impurities deposited in it, its capacity is limited. The cumulative effects of atmospheric pollutants, agrochemicals and fertilizers, industrial and domestic solid residues, and toxic and radioactive materials, can negatively affect the soil [<xref ref-type="bibr" rid="scirp.93290-ref41">41</xref>] . Some Soil properties affected metal availability such as soil pH [<xref ref-type="bibr" rid="scirp.93290-ref42">42</xref>], moisture content and water holding capacity [<xref ref-type="bibr" rid="scirp.93290-ref43">43</xref>] . Soil contamination with heavy metals may also cause changes in the composition of soil microbial community, adversely affecting soil characteristics [<xref ref-type="bibr" rid="scirp.93290-ref44">44</xref>] [<xref ref-type="bibr" rid="scirp.93290-ref45">45</xref>] [<xref ref-type="bibr" rid="scirp.93290-ref46">46</xref>] [<xref ref-type="bibr" rid="scirp.93290-ref47">47</xref>] . On the other hand, the mobility of heavy metals is slow in clayey alkaline soils with a high content of calcium carbonate and their utility is limited due to immobilization [<xref ref-type="bibr" rid="scirp.93290-ref48">48</xref>] .</p><p>Geostatistical methods are often used for prediction mappings of soil properties, because it can calculate unbiased estimates at un-sampled locations [<xref ref-type="bibr" rid="scirp.93290-ref49">49</xref>] - [<xref ref-type="bibr" rid="scirp.93290-ref54">54</xref>] . Since pollution in soil presents a continuum in their spatial variations, geostatistical methods are widely used to display this variation and to reduce costs of investigation and to recognize the contamination on sources [<xref ref-type="bibr" rid="scirp.93290-ref55">55</xref>] [<xref ref-type="bibr" rid="scirp.93290-ref56">56</xref>] [<xref ref-type="bibr" rid="scirp.93290-ref57">57</xref>] . The aims of this study are: 1) to investigate the contents of four heavy metal (Cu, Zn, Cd and Pb) in both river water and soil of pilot area of Orontes basin, 2) to characterize the spatial distributions of this heavy metal, 3) to provide an insight into possible heavy metal contamination by generation of the predicted maps.</p></sec><sec id="s2"><title>2. Study Area</title><p>The study area: The Orontes basin is an important agricultural area of irrigated land in Midwest of Syria, with a total area of 23,967 km<sup>2</sup>, extended from NE of Lebanon through Syria to the South of Turkey. Orontes basin plays an important role in the agriculture economy of Syria, whereas irrigated winter wheat, sugar beet and cotton are growing depending mainly on Orontes river water, which is highly polluted by both domestic sewerage and sludge sewerages [<xref ref-type="bibr" rid="scirp.93290-ref58">58</xref>] . Orontes river is considered one of the most polluted rivers in the eastern Mediterranean due to high evapotranspiration, a large number of different industries and lack of sewage water treatment plants.</p><p>The area of Orontes basin extended around Hama city (northwest to the southwest) was chosen as a pilot area 35.05 - 35.20N and 36.85 - 36.67E. The area is characterized by intensive agricultural and industrial activity, and includes the city of Hama and its environs and residential communities in Ghor Al-Assi, Genan Al-Asi, Sreiheen, Al Daheria, Kazo, Shirraaya, Barza, and Khattab (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p><p>In recent decades, agricultural intensification has occurred in parallel with industrial (Metallurgical and Chemical) and urban expansion; these exert a high pressure on the soils and could result in contamination. Agricultural practices used in this area, such as the intensive use of agrochemical products and wastewater, for soil irrigation, result in contamination that requires in-depth investigation. In addition, the concentration of industrial areas near villages and the presence of small industries in the agricultural zones could increase the concentration of pollutants, which should be re-assessed.</p><p>The land-use patterns are typical and representative of Mediterranean semiarid climate with 342 mm precipitation, maximized in winter and 19.3˚C annual temperature. The summer is hot dry in which the evapotranspiration exceeds precipitation, with 144 dry days starting from 25 May to 15 of October (<xref ref-type="fig" rid="fig2">Figure 2</xref>). According to aridity index, most of the area is dry, which suggests huge demand for water for irrigation.</p></sec><sec id="s3"><title>3. Materials and Methods</title><sec id="s3_1"><title>3.1. Field Work and Data Collection</title><p>In order to provide an insight into possible heavy metal contamination that may be occurring in the study area, the spatial distribution of heavy metal has been mapped for the pilot area using data from river water and soil samples, the data were interpolated using ordinary kriging and prediction mappings of polluted areas were generated.</p><p>Water samples have been taken in the irrigation session along the flow of the Asi River from the southeast to the northwest from five monitoring sites (Al Gassalat, Genan Al Asi, Al ArbaaNawheer, Al Daheria, and Arza). Bulk soil samples of 93 observation sites were collected from 30 cm of the plow layer and from 30 - 60 cm of the subsoil; the data from the last depth did not present in this study. The grid net survey of 0.5 km intervals was conducted (60 grid SE, 60 grid NW) (<xref ref-type="fig" rid="fig3">Figure 3</xref>).</p><p>Location coordinates for all sampled sites were determined using Global Positioning System (GPS) where data are to be used by Geographical Information System (GIS) for data processing. Before analysis, the soil samples were drying in an oven at 50˚C for overnight, grounded finely and sieved through a 63 &#181;m plastic sieve. Analyses of total content of heavy metals (Cd, Pb, Zn, Cu) were performed by using the high quality concentrated (70% w/v) nitric acid, hydrogen peroxide (35%) and hydrochloric acid (38%). the samples were placed in Teflon tubes and digested with HNO<sub>3</sub>, HF, and HClO<sub>4</sub>. Then the solutions were diluted with 2% (v/v) HNO<sub>3</sub> to a final volume of 50 ml, and then the samples were analyzed using an atomic absorption spectrophotometer. Particle-size distribution of bulk soil was determined by the sieve-hydrometer method [<xref ref-type="bibr" rid="scirp.93290-ref59">59</xref>] . The organic carbon content in fine earth was determined by dichromate oxidation [<xref ref-type="bibr" rid="scirp.93290-ref60">60</xref>] . The soil pH was determined in 1:2 soil/water solution.</p></sec><sec id="s3_2"><title>3.2. Pollution Assessment</title><p>By applying Geo-accumulation Index (Igeo) [<xref ref-type="bibr" rid="scirp.93290-ref61">61</xref>],</p><p>Igeo = log 2 ( Cn 1.5. Bn )</p><p>where Cn is the measured content of an element, and Bn is the background or pristine value of the element. The numerical results are indicative of different pollution classes. The degree of metal pollution is assessed in terms of seven contamination classes based on the increasing numerical value of the index as follows: [<xref ref-type="bibr" rid="scirp.93290-ref62">62</xref>] .</p><p>&#183; I-geo &lt; 0 means unpolluted</p><p>&#183; 0 ≤ I-geo &lt; 1 means unpolluted to moderately polluted</p><p>&#183; 1 ≤ I-geo &lt; 2 means moderately polluted</p><p>&#183; 2 ≤ I-geo &lt; 3 means moderately to strongly polluted</p><p>&#183; &amp; 3 ≤ I-geo &lt; 4 means strongly polluted</p><p>&#183; &amp; 4 ≤ I-geo &lt; 5 means strongly to very strongly polluted</p><p>&#183; &amp; I-geo ≥ 5 means very strongly polluted.</p><p>Enrichment Factor (EF) to assess the presence and intensity of anthropogenic contaminant deposition on surface soil [<xref ref-type="bibr" rid="scirp.93290-ref63">63</xref>],</p><p>EF = (Metal/RE)soil/(Metal/RE)background</p><p>Where RE is the value of metal, adopted as Reference Element. The five contamination categories are recognized on the basis of the enrichment factor as follows [<xref ref-type="bibr" rid="scirp.93290-ref64">64</xref>] :</p><p>&#183; EF &lt; 2 is deficiency to minimal enrichment</p><p>&#183; EF = 2 - 5 is moderate enrichment</p><p>&#183; EF = 5 - 20 is significant enrichment</p><p>&#183; EF = 20 - 40 is very high enrichment</p><p>&#183; EF &gt; 40 is extremely high enrichment</p></sec><sec id="s3_3"><title>3.3. Pollution Mapping</title><p>Geostatistical analyses were applied through the analysis of semivariograms of the selected individual variables. Experimental semivariograms were obtained from the omnidirectional semivariances, γ(h), as a set of spatial observations, Z(x<sub>i</sub>), which were calculated as:</p><p>γ ( h )   =     1 2     N ( h )     ∑ i = 1 N ( h ) [ z   ( x i )   −   z   ( x i   +   h )   ]   2</p><p>where: z   ( x i ) and z   ( x i   +   h )   are experimental measures of any two points separated by the vector h, and N(h) is the number of experimental pairs separated by h. In practice, a semivariogram simply enumerates the relationship between the degree of similarity between two measurements of some variable Z(x<sub>i</sub>) separated by distance h, which is termed the lag.</p></sec></sec><sec id="s4"><title>4. Results and Discussion</title><sec id="s4_1"><title>4.1. Pollutants in the River’s Water</title><p>The Physicochemical parameters and heavy metal concentrations of Orontes river water were shown in <xref ref-type="table" rid="table1">Table 1</xref>.</p><p>The water pH is indicating moderately alkaline nature, while the Electrical Conductivity (EC) has referred to increasing problem. There was no irrigation problem related to ammonium nitrogen and phosphate phosphorous.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Chemical analysis of Orontes River Water</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Observation point</th><th align="center" valign="middle" >pH</th><th align="center" valign="middle" >EC ms&#183;cm<sup>−1</sup></th><th align="center" valign="middle" >NH4-N mg&#183;l<sup>−1</sup></th><th align="center" valign="middle" >PO4-P mg&#183;l<sup>−1</sup></th><th align="center" valign="middle" >Pb μg&#183;g<sup>−1</sup></th><th align="center" valign="middle" >Cd μg&#183;g<sup>−1</sup></th><th align="center" valign="middle" >Cu μg&#183;g<sup>−1</sup></th></tr></thead><tr><td align="center" valign="middle" >Al Gassalat</td><td align="center" valign="middle" >7.9</td><td align="center" valign="middle" >0.82</td><td align="center" valign="middle" >0.58</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >0.35</td><td align="center" valign="middle" >0.091</td><td align="center" valign="middle" >0.55</td></tr><tr><td align="center" valign="middle" >Genan Al Asi</td><td align="center" valign="middle" >7.8</td><td align="center" valign="middle" >0.86</td><td align="center" valign="middle" >0.7</td><td align="center" valign="middle" >7.37</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.079</td><td align="center" valign="middle" >0.22</td></tr><tr><td align="center" valign="middle" >Al Arbaa Nawheer</td><td align="center" valign="middle" >7.5</td><td align="center" valign="middle" >0.79</td><td align="center" valign="middle" >0.38</td><td align="center" valign="middle" >3.5</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.084</td><td align="center" valign="middle" >0.15</td></tr><tr><td align="center" valign="middle" >Al Daheria</td><td align="center" valign="middle" >7.6</td><td align="center" valign="middle" >0.87</td><td align="center" valign="middle" >0.7</td><td align="center" valign="middle" >5.5</td><td align="center" valign="middle" >0.08</td><td align="center" valign="middle" >0.086</td><td align="center" valign="middle" >0.35</td></tr><tr><td align="center" valign="middle" >Brza</td><td align="center" valign="middle" >7.22</td><td align="center" valign="middle" >0.87</td><td align="center" valign="middle" >1.8</td><td align="center" valign="middle" >6.8</td><td align="center" valign="middle" >0.14</td><td align="center" valign="middle" >0.103</td><td align="center" valign="middle" >0.73</td></tr><tr><td align="center" valign="middle" >EPA Standard</td><td align="center" valign="middle" >6.5 - 8.4</td><td align="center" valign="middle" >0.7 - 3.0</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >5.0</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >2.0</td></tr></tbody></table></table-wrap><p>According to Geo-accumulation Index (I<sub>geo</sub>), the concentration of heavy metal denoted a moderately to strong pollution for Cd and Pb, and very strongly pollution for Cu, which is higher of [<xref ref-type="bibr" rid="scirp.93290-ref65">65</xref>] recommended threshold. Although the index is for sediment, it gives the indication that accumulation will increase in soils when the soil is irrigated with such irrigation water</p></sec><sec id="s4_2"><title>4.2. The Physicochemical Properties of the Soil</title><p>The pH and organic matter content of the soils are very important factors in controlling mobility and concentration of elements in the soils. The pH values ranged from 7.5 to 8.6 (<xref ref-type="fig" rid="fig4">Figure 4</xref>). The results indicate that the soils within the study area are alkaline; (higher pH values) not favor the availability of cations in soil [<xref ref-type="bibr" rid="scirp.93290-ref66">66</xref>] . That might be explained by the calcareous origin of the parent material as the soil total calcium carbonate content ranging from 23% to up 44%. The Organic matter (OM) content in soil showed high value comparing to soil existing in the area, ranging from less than 1% to 9.8% (<xref ref-type="fig" rid="fig4">Figure 4</xref>).</p><p>The higher content near sewage stations supports the idea of higher content due to direct irrigation with sewage sludge water, and this indicates that metals are more likely to be bound to organic matter to form metal-chelate complexes, and this would also result in less availability of metals to plants [<xref ref-type="bibr" rid="scirp.93290-ref67">67</xref>] [<xref ref-type="bibr" rid="scirp.93290-ref68">68</xref>] .</p><p>Clay content is high (clay ranges from 12% to more than 40%) and the soil has clay loam to clayey texture. This may be the result of continuous deposition of alluvium on the riverbed in Orontes River (<xref ref-type="fig" rid="fig5">Figure 5</xref>).</p><p>The absence of clay migration process is a result of continuous soil cultivating and extensive agriculture rotation. In addition, oxidation and terraces of redox-morphic features observed, this is related to irrigation method (flood irrigation) applying by local farmers.</p><p>Clayey and high calcium carbonate soil gives the area a high potential for adsorption of heavy metals.</p></sec><sec id="s4_3"><title>4.3. Soil Heavy Metals Concentration and Distribution</title><p>The spatial variations of heavy metal in soils were more significant than that in river water. Geostatistical analysis showed that data did not well-distributed because of the high variation between the studied elements data.</p><p>The (Cu) concentrations were high in some area (Al Dahreah, near the steel factory and Al Genan) and reach to 127 μg&#183;g<sup>−1</sup> (<xref ref-type="fig" rid="fig6">Figure 6</xref>), which is higher than allowable limit of heavy metal concentration in soil (Germany 40.0, and the USA 75.0 μg&#183;g<sup>−1</sup> [<xref ref-type="bibr" rid="scirp.93290-ref69">69</xref>] ). In addition, a high concentration of (Cu) was significantly associated with organic matter content. However, as (Cu) is considered more readily soluble. The (I geo) was 1.49 refers to moderate pollution, and (EF) was 4.24 refers to moderate enrichment.</p><p>The highest concentrations of (Cd) (9.8) μg&#183;g<sup>−1</sup> were near Zourblehassenand near Srehen, where Steel and Wheel factories exist (<xref ref-type="fig" rid="fig7">Figure 7</xref>) (Germany 1.0, and the USA 1.9 μg&#183;g<sup>−1</sup>). The (I geo) was 6.64 refers to very strongly pollution, and (EF) was 6.64 refers to significant enrichment. The spatial distribution of Cdwas irregular; it may be that is the result of land use and land management (irrigated, rainfed) and the irrigation method.</p><p>The concentration of (Pb) was in general within the limits, except for riverbanks where the values were higher, in some site like Al Dahrieh, Sraheen, and Khattab the values exceeded 95 μg&#183;g<sup>−1</sup> (<xref ref-type="fig" rid="fig8">Figure 8</xref>) (Germany 40.0, and the USA 15.0 μg&#183;g<sup>−1</sup>). The (I geo) was 4.22 refers strongly to very strongly pollution, and (EF) was 3.5 refers to moderate enrichment.</p><p>The high concentrations of Pbin some points are due to the indiscriminate firing of solid household rubbish (dry batteries) and the presence of paint manufacturing workshops.</p><p>Total (Zn) concentration was higher variability and values ranged from 13 to 760 μg&#183;g<sup>−1</sup>, its environmental risk will be more serious (<xref ref-type="fig" rid="fig9">Figure 9</xref>) (Germany 150.0, and USA 140.0 μg&#183;g<sup>−1</sup>). The (I geo) was 4.7 refers strongly to very strongly pollution, and (EF) was 6.6 refers to significant enrichment. The high concentrations of Zn at Jinan and Arza sites, explained by the existing of sewage treatment plant, while a significant increase in values was found even to the depth of 60 cm in Al Dahreah, near the sewage station. The spatial distributions of Zn concentrations in soil were un-regular; the higher concentration near riverbanks than in the rest soils could be the result of periodical waterlogging and the long period of water stagnation near riverbanks.</p></sec></sec><sec id="s5"><title>5. Conclusions</title><p>Mapping of four heavy metals (Cd, Cu, Pb, and Zn) in middle Orontes basin gave a comprehensive view and saved time, labor and money consuming, and showed a significant accumulation of studied elements in both river water and surrounding soil. The concentration of four heavy metals was higher in soil samples nearby center area than that in boundary samples except for Zn. The spatial distribution of Cu and Pb concentrations in soil was irregular; while as the Cu was preferentially found in the soil with high organic matter content. These results require constant monitoring and identification of these pollutants accurately so that pollution can be prevented and heavy metals can be disposed of. The correlations for these heavy metals are related to the geographical distributions in the study area, indicating a trend of spatial concentrations increasing with the direction of river flow from southeast to northwest.</p></sec><sec id="s6"><title>Acknowledgements</title><p>The research was funded by the Philip Schwarz Initiative. Many thanks to the Hama Center for Agricultural Scientific Research for conducting laboratory analyzes.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Cite this paper</title><p>Husein, H.M., Kalkha, M., Al Jrdi, A. and B&#228;umler, R. (2019) Urban Soil Pollution with Heavy Metals in Hama Floodplain, Syria. 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