Next Article in Journal
X-ray Micro CT Based Characterization of Pore-Throat Network for Marine Carbonates from South China Sea
Previous Article in Journal
Numerical Simulation of a Hollow-Core Woodpile-Based Mode Launcher for Dielectric Laser Accelerators
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Evaluation of the Soil–Water Retention Curve of Arsenic-Contaminated Soil by the Filter Paper Method

by
Ismael Vásquez-Nogal
1 and
Christian E. Hernández-Mendoza
2,*
1
Facultad de Ingeniería, Universidad Autónoma de Querétaro, Cerro de las Campanas S/N, Queretaro 76010, Mexico
2
CONACYT—Laboratory of Environmental Geotechnics, Facultad de Ingeniería, Universidad Autónoma de Querétaro, Circuito Universitario S/N, Queretaro 76010, Mexico
*
Author to whom correspondence should be addressed.
Appl. Sci. 2022, 12(5), 2610; https://doi.org/10.3390/app12052610
Submission received: 26 January 2022 / Revised: 12 February 2022 / Accepted: 16 February 2022 / Published: 3 March 2022
(This article belongs to the Section Civil Engineering)

Abstract

:
Arsenic is a metalloid frequently found in contaminated sites due to its easy mobilization in the environment. This has attracted the researchers who have studied this phenomenon from an environmental engineering perspective. Although there is evidence indicating that soil contamination impacts its geotechnical behavior, there is no available information about the changes in the soil’s suction after its contamination. The objective of this paper was to evaluate the soil–water retention curve of arsenic-contaminated soil. An unsaturated soil sample was contaminated with arsenic at two different concentrations and a filter paper calibration curve was developed for each contaminant concentration. Soil contamination decreased the BET area and increased its pore sizes. At a saturation rate of 0.8, the matric suction of the contaminated soils decreased (from 1681 kPa to 260 kPa), while the osmotic suction increased (from 23 kPa to 530 kPa), compared with the natural soil’s condition. Furthermore, the soil’s suction values obtained with the ASTM D5298 calibration curve were higher than those obtained using the calibration curve developed for the contaminated state. Thus, to avoid misunderstanding the mechanical behavior of the unsaturated soils under contaminated conditions, the osmotic suction should be considered and evaluated with the corresponding calibration curve.

1. Introduction

Arsenic is one of the most frequent metalloids found in contaminated soils [1]. According to Covarrubias and Cabriales [2], the heavy metals and metalloids that contaminate the soils in Mexico are arsenic, mercury, lead, and chromium. Such heavy metals and metalloids are classified as toxic and carcinogenic elements associated with different types of chronic disorders [2]. The distribution and contamination of these metalloids are due to natural and anthropogenic processes [3]. They cause environmental and health problems due to their easy mobilization in the environment [3].
Arsenic has organic and inorganic species, being the last of the metalloids most frequently found in water and soil [4]. The inorganic arsenic species are arsenite (As+3) and arsenate (As+5). The arsenate is predominantly found in both aerobic environments and contaminated soils [5] and is strongly absorbed in clays [6]. Clayey soils have higher arsenic retention potential due to the arsenic absorption and desorption processes [7].
Soils are natural bodies composed of inorganic and organic materials, gases, and organisms; soils are characterized by presenting strata with variable thicknesses due to the addition, loss, transfer, and/or transformation of matter over time [8]. Moreover, the soil is a skeletal structure of solid particles in contact, forming an interstitial system of interconnections between voids or pores [9].
Frequently, the first zone of the soil that gets contaminated is the unsaturated zone [10]. The unsaturated condition of the soil involves the treatment of stress variables that depend on capillary (attributed to interactions generated from surface tension phenomenon) [11] and adsorption forces that generate negative pressures on the soil. Surface tension results from an imbalance of attractive intermolecular forces developed in the air–water interface. Such surface tension causes the interface to behave like an elastic curved membrane subjected to excess pressure. These stress forces are known as suction and depend on the water content that is affected by soil structure due to the random interconnections of the pores [11,12] and can considerably affect soil behavior [13].
Most of the problems that involve unsaturated soils are commonly the result of environmental changes, which can cause the expansion or reduction of the soil volume. Those changes affect the matric (ψm) component of the soil suction and cause the osmotic suction (ψo) to become essential in the shear strength of the soil when chemical contamination arises [10]. The soil’s total suction (ψt) corresponds to the sum of the ψm and the ψo. Nevertheless, it is common only to consider the contribution of the ψm to the unsaturated soil behavior because the contribution of the ψo is negligible.
In contrast, it has been proposed that under contaminated conditions, the ψo becomes relevant due to the reactions between the soil and the contaminant, which modifies its geotechnical properties and, consequently, the shear strength resistance of the contaminated soil [10]. Moreover, the water flow is affected by the void spaces between solid particles because changes in water content result in changes in the soil’s suction [14].
Diverse indirect techniques have been used to measure soil suction, for example, the relative humidity sensor, psychrometer technique, and filter paper method [15]. Total suction can be obtained from Kelvin’s law, where the free state water energy can be measured in terms of the partial pressure of water vapor present in the gaseous phase existing in the soil (Equation (1)):
ψ t = ρ w · R · T M w ln u v u v 0 ,
where ψ t is the total suction, ρ w is water density, R is the universal gas constant, T is the absolute temperature, M w is the molecular mass of water, u v is the vapor pressure of water, and u v 0 is the saturated water vapor.
However, the filter paper method is a reliable, less expensive, and frequently used laboratory technique covering a wide range of suction measurements that use a calibration curve for natural soil [15]. The soil suction measurements by the filter paper method evolved in Europe in the 1920s [16]. Since then, several researchers have studied and applied this method due to is relatively low cost and the suction range covered by it, from 0 to 1 × 106 kPa and 1000–500,000 kPa for the total and matric soil suctions, respectively [17]. Due to this, the filter paper method is currently used to evaluate the total and matric soil suction [18,19]. This laboratory test method, described by the standard ASTM D5298 [20], allows measuring the ψt by a non-contact procedure, and the ψm by a contact procedure. In this technique, the water content of an initially dry filter paper comes into equilibrium with the soil either through vapor or liquid flow [16].
The importance of the soil–contaminant interaction lies in the contaminant movement control through the soil and the changes in its geotechnical properties [21,22,23]. Different theories have supported those changes (e.g., the diffuse double layer) and provided a guide to study the change in the soil–water retention curve (SWRC) since particle size and permeability changes are related to soil suction [17]. It is known that soil suction describes the potential water retention into the soil’s pores. In contrast, SWRC describes the relationship between the degree of saturation of the soil and the soil’s suction. When unsaturated soils are subjected to drying and wetting cycles, the SWRC shows hysteretic behavior. This causes the soil to retain more water on the drying path than on the wetting path at the same suction value.
Soil’s water retention is affected by the void ratio and the pore structure, represented by the pore-size distribution. The SWRC depends on many factors such as soil type and structure, temperature, salts content, and stress state. The SWRC is an essential relationship that provides information about unsaturated soils’ mechanical and hydraulic behaviors. The SWRC has a similar role as the consolidation curve for saturated soils mechanics. The SWRC is used to predict the volume change, shear strength, and permeability coefficient for unsaturated soils [9,14]. Thus, the knowledge of the SWRC of the unsaturated and contaminated soils is a crucial parameter for its analysis [9].
The literature review showed that many efforts have been made to study the contaminated soils’ geotechnical behaviors. However, to the best of the authors’ knowledge, there is no available information about the SWRC for heavy metal contaminated soils. Hence, the objective of this paper was to evaluate the SWRC of arsenic-contaminated soil. Further, the permeability coefficient of the arsenic-contaminated soil was evaluated through its laboratory measurement and compared with a correlation equation using the consolidation parameters of the soil.

2. Materials and Methods

2.1. Experimental Procedure

The methodology used to achieve the objective of this research was divided into three phases: (a) natural soil sample analysis and contamination, (b) evaluation of natural and arsenic-contaminated soils SWRC, and (c) evaluation of the permeability coefficient of the arsenic-contaminated soil samples.
In the first phase, disturbed soil samples were obtained from an open pit at a site in Querétaro, Mexico. Additionally, an undisturbed cubic soil sample was obtained to determine the soil’s water content and specific weight as soon as it arrived at the laboratory. Such parameters were used to fabricate the soil samples used in the suction tests. The disturbed soil samples were sieved through a No. 4 (4.75 mm) sieve. The resulting soil sample was used during the experiment, and its characterization is shown in Table 1.
After evaluating the geotechnical properties of the natural soil reported in Table 1, the soil was air dried to avoid increasing its water content. In another case, it could happen due to contaminant addition. The soil was then divided into three parts. While one part of the soil remained uncontaminated, the other two parts were manually contaminated with an arsenic solution. According to the Mexican regulations [24] and the data shown by Rico et al. [25] for the Querétaro region, it was decided to contaminate the soil with an arsenic concentration of 25 mg/kg and 50 mg/kg, respectively. To contaminate the soil at the indicated concentrations, a traceable standard arsenic solution (As+5) in the form of H3AsO4 (Merck Millipore, Germany), which was traceable to the Standard Reference Material (SRM) for the National Institute for Standards and Technology (NIST), was used.
Each part of the natural soil was poured into different glass containers and was sprayed with the prepared arsenic solutions to achieve final arsenic concentrations of 25 mg/kg and 50 mg/kg, respectively. Then, the contaminated soils were manually mixed and stored in hermetically sealed glass containers in the temperature-controlled room (20 °C ± 1 °C) during a curing period of six weeks. The contamination procedure and the curing period were applied to simulate the long-term contamination effect on the soil [10]. After this curing period, the porosimetry and the specific surface area of the soil were analyzed by nitrogen adsorption–desorption isotherms to evaluate the changes promoted by arsenic contamination.
The SWRC of the natural and arsenic-contaminated soils was determined in the second phase by measuring the soil suction using the filter paper method. The suction of the natural soil was measured using the calibrated curves for the Whatman Grade 42 filter paper, based on the testing procedure described in the ASTM D5298 standard [20]. Additional sodium chloride (NaCl) concentrations required to calibrate the filter paper were considered according to the procedure described in Bulut et al. [16]. As shown in Figure 1, each soil sample was enclosed with a filter paper into a container until moisture equilibrium was reached [17], indicating that the partial pressure of water vapor in the air gets equilibrated with the vapor pressure of the pores’ water in the soil specimen. This procedure was adopted using the same method detailed by Lu and Likos [17] for the soil suction experimental setup.
Since the ASTM D5298 [20] does not consider the contaminant’s effect in the calibration curve proposed, it was necessary to construct it using a saturated salt solution mixed with an arsenic solution. Once the calibration curves for the arsenic-contaminated samples were obtained, it was possible to evaluate the soil’s suction and obtain the corresponding SWRC. Multiple soil samples were used to evaluate the soil’s suction by the filter paper method. This allowed obtaining the SWRC for the wetting and drying paths.
In the third phase, the permeability coefficient was evaluated under saturated conditions using the falling head permeameter. Since the permeability coefficient of the soils can be predicted using the consolidation test, it was decided to apply the consolidation test to the arsenic-contaminated soils to estimate the permeability coefficient and compare it with the ones obtained by direct measurement.

2.2. Test Methods

2.2.1. Porosimetry of the Soils

The textural properties of soil samples of 15.6 mm3 (2.5 mm × 2.5 mm × 2.5 mm) were evaluated in an Autosorb iQ2 (Quantachrome, Anton Paar, Ashland, VA, USA) equipment through nitrogen adsorption–desorption isotherms. Soil samples were degassed at 200 °C for 12 h at 1 × 10−2 Pa. The specific surface areas were calculated by the Brunauer–Emmet-Teller (BET) method using the nitrogen adsorption–desorption isotherm. In contrast, the pore size distribution (PSD) was obtained by the Barret–Joyner–Halenda (BJH) method using the desorption branches of the isotherms.

2.2.2. Soil Samples Preparation for Suction Tests

All the soil specimens used to evaluate the suction of each soil (i.e., natural and contaminated soils) were elaborated by remolding the corresponding soil sample using a soil compaction mold for triaxial tests from altered soil samples (as shown in Figure 2a). Soil samples were remolded considering the natural soil’s water content and unit weight (Table 1). The water content of the soil samples was determined before the specimen’s construction. Distilled water was used to adjust the water content of the soil samples when needed. Whatman Grade 42 filter papers were oven dried before use. All soil samples were stored individually in glass jar containers in a temperature-controlled room to reach the degree of saturation required for each point of the SWRC, either for the wetting or drying path tests (Figure 2b).

2.2.3. Calibration Curve for the Arsenic-Contaminated Soil Using the Whatman Grade 42 Filter Paper

The calibration curve for the soil suction evaluation is based on the relationship between total suction and the relative humidity from a specific concentration of sodium chloride (NaCl traceable to the SRM for the NIST, Merck Millipore, Darmstadt, Germany) in distilled water. The suction values indicated in the ASTM D5298 [20] were used to obtain the calibration curve of the filter paper method. Two additional suction values (i.e., 268 kPa and 585 kPa) were used to evaluate the calibration curve in greater detail using the data reported by Likos and Lu [26]. The sodium chloride concentrations used to obtain the calibration curve are shown in Table 2. The filter papers were placed above this salt solution for equilibrium during a curing period of at least 15 days.
The suction values indicated in Table 2 for the sodium chloride were also evaluated using the corresponding NaCl-As solutions. To this, two arsenic concentrations were selected: 25 mg/kg (which is equivalent to 25 mL/L) and 50 mg/kg (equivalent to 50 mL/L). This solution was added to distilled water to achieve the calibration curve.
The procedure adopted was as follows: sodium chloride solutions were prepared with distilled water and arsenic to reach the suction values reported in Table 2. A 250 mL glass jar was filled with 100 mL of a solution of known molality of the NaCl-As solution. For example, for the 25 mg/kg arsenic concentration condition, 2.5 mL of arsenic solution was mixed with 97.5 mL of distilled water, and for the 50 mg/kg arsenic concentration condition, 5.0 mL of arsenic solution was mixed with 95 mL of distilled water.
Then, a filter paper was put into the glass jar without contact with the solution (total suction). A controlled temperature room was used to store the calibration samples to avoid suction errors induced by a temperature gradient. The previous step was repeated for each different salt concentration. Once equilibrium was reached, the filter paper was very quickly weighed, and the measure was recorded to the nearest 0.0001 g. For all the cases, in natural and contaminated soils, each data point of the calibration curve corresponds to the average of at least three filter paper test repetitions.

2.2.4. Permeability Test

The soil specimens for the permeability tests were fabricated considering the natural soil’s specific weight and water content. According to the arsenic concentration in the soil samples, the soil specimens were separated and submerged in different water containers for water saturation. The permeability coefficient values were obtained using the ASTM D5084 [27] falling head procedure executed in the controlled-temperature room.
Before the procedure began, one filter paper was placed at the bottom of the soil specimen to prevent the migration of fine-grained particles to the porous disks. The permeameter was connected to the standpipe and covered to prevent the evaporation of water inside the pipe. The saturated permeability coefficient values were calculated from Equation (2) as follows:
k = a · L A · Δ t ln h 1 h 2 ,
where k is permeability, a is the area of the pipe, L is the specimen length, A is the soil sample area, Δ t is the difference of time between lectures, h 1 is the initial hydraulic head in the falling-head tube, and h 2 is the final hydraulic head in the falling-head tube at the end of the permeation trial.

2.2.5. Consolidation Test

The consolidation test was performed following the ASTM D2435 standard [28]. Considering the natural soil’s water content and unit weight, all soil samples were remolded. Soil samples were introduced into a consolidation ring (50 mm diameter and 25 mm height) with one filter paper placed on both sides of the sample to avoid the soils’ particles intrusion into the porous disks. The odometer was placed in position, a self-weight of the soil of 40.02 kPa was maintained for 24 h and then filled with water to saturate the soil samples before starting the tests. The applied incremental stresses in the loading procedure were 9.81 kPa, 9.81 kPa, 19.62 kPa, 39.24 kPa, and 78.48 kPa. This loading arrangement allowed to reach a final stress of 156.96 kPa (which corresponded to 16 Ton/m2). Then, the loads were removed in such way that the stresses were 78.48 kPa, 39.24 kPa, 19.62 kPa, 9.81 kPa, and 9.81 kPa. Each stress decrement was maintained for 24 h.

2.2.6. Prediction of the Permeability Coefficient from Consolidation Test

According to Equation (3), the use of the consolidation test provides the soil permeability under a certain applied overload:
k = C v · γ w E m   ,
where k is the permeability coefficient, c v is the consolidation coefficient, γ w is the specific weight of water, E m is the oedometric modulus equivalent to 1/mv, and mv is the volumetric compressibility coefficient.
However, γ w must be calculated according to Equation (4) because the liquid interacting in the soil mass is a mixture of water and arsenic after soil contamination:
γ m = M 1 + M 2 V 1 + V 2 · g ,
where γ m is the specific weight of the liquid’s mixture, M 1 and M 2 are the mass of the water and arsenic, respectively, V 1 and V 2 are the volume of the water and the arsenic, respectively, and g is the acceleration of gravity.

3. Results and Discussion

3.1. Porosimetry

One of the aspects that affect the ψm is the capillary forces (i.e., the pore size distribution) [11]. Thus, porosimetry tests were performed to evaluate the suction changes for the natural soil (0 mg/kg) and the arsenic-contaminated soils (25 mg/kg and 50 mg/kg). The results of porosimetry are shown in Figure 3a, which relates the relative pressure and adsorbed volume. According to the International Union of Pure and Applied Chemistry (IUPAC, Research Triangle Park, NC, USA), these results indicate a type IV isotherm with a hysteresis type H3 characteristic of mesoporous solids, such as clays and solid aggregates, related to parallel plates, respectively.
The BET method was used to evaluate the specific surface area of the soils, while the BJH method was applied to evaluate the pore size distribution in the soil samples. The pores diameter can be classified as macropores (φ > 0.05 µm), mesopores (0.05 µm < φ > 0.002 µm), and micropores (φ < 0.002 µm). According to the specific surface area, the natural soil corresponded to a montmorillonite clay mineral. The BET area decreased (16% and 9% for 25 mg/kg and 50 mg/kg, respectively) as well as the mesoporous volume after contamination (as seen in Figure 3a), suggesting that the arsenic modified the soil structure.
Figure 3b indicates the contribution of the pore size to the total volume of pores. The peaks observed in Figure 3b correspond to the most predominant pore sizes for each soil sample analyzed with the nitrogen adsorption isotherm method. The pore size distribution of the natural soil shows a peak at a pore size of about 5.6282 nm. As arsenic concentration increases to 50 mg/kg, the mesopores reduce their adsorbed volume (as shown in Table 3), and the peak displaces to a larger pore size of about 7.8141 nm. This indicates that the porous solid behaves as a coarse material as the arsenic concentration increases.
This is explained because the specific soil area combines all surface areas of all particles in the soil mass, which generates an inverse relationship between the particle size and specific surface area. So, the bigger the particle size, the smaller the specific surface [29]. Moreover, adsorption is defined as the accumulation of material above the surface [30], and the results indicate that the decrease in the adsorption potential lowers the specific surface because the adsorbate (N2) volume required to fill the soil pores is smaller than the natural condition, which results in a change of position of the isotherms.
According to these results, it can be inferred that the matric suction reduces after arsenic contamination due to structural changes generated in the soil mass. This is explained to be due to the inverse relationship of suction and the radius of curvature of the contractile skin in the Laplace equation (i.e., when suction decreases, the radius of curvature increases).

3.2. Calibration of the Whatman Grade 42 Filter Paper

Table 4 presents the water content of the filter paper obtained to create the calibration curves for the natural and contaminated soils. Those results are pretty revealing in terms of the shape of the calibration curve because they indicate that the gravimetric water content (ω) decreases in comparison with the standard calibration for both arsenic concentrations.
The Whatman Grade 42 filter paper calibration curves are shown in Figure 4. The suction values for the contaminated soils obtained from the calibration curve clearly show that the slope change due to the soil–water–contaminant interaction. The data obtained in the arsenic calibration curves validated the assumption that the suction values change due to the exchange of vapors resulting from the chemical contamination. Moreover, those results provided the data to support the evaluation of total suction in the arsenic-contaminated soils where the ψo has a significant change compared with its value in the natural soil.
These results suggest that the slope of the calibration curve is affected by the contaminant concentration. This also impacts the suction values since for filter paper with water content higher than 17.5%, the suction values of the 50 mg/kg arsenic concentration condition are higher than those of the 25 mg/kg arsenic concentration condition. In contrast, for filter paper with water content lower than 17.5%, the suction values of the 25 mg/kg arsenic condition are higher.

3.3. Evaluation of the SWRC of the Arsenic-Contaminated Soils

The results of soil suction are presented in Figure 5. Soil suction values from 1 kPa to 1 × 106 kPa were obtained through the filter paper method. Water content is expressed as the normalized degree of saturation (Sr), which varies from 0 to 1.
In the arsenic-contaminated cases, the total and matric suction values decreased at a high saturation rate and the slope appears to be smoother than the one observed for the natural soil condition, which is evident after comparing the wetting paths because the soil behaves as a coarse-grain one when contaminated.
From the wetting path of the SWRC, at a Sr = 0.90, it was observed that the soil’s total suction decreased 67% (from ψt = 1055 kPa ± 50 kPa to ψt = 348 kPa ± 6 kPa) as the arsenic concentration in the soil increased from 0 mg/kg to 25 mg/kg. Furthermore, when the contaminant concentration increased to 50 mg/kg, the ψt decreased to 226 kPa ± 23 kPa, which represented a 78% decrease compared with the total suction of the natural soil (ψt = 1055 kPa ± 50 kPa) at the same saturation rate.
The total and matric suction were evaluated at the saturation rate of the natural soil sample (Sr = 0.8) to compare its behavior with the arsenic-contaminated soils cases. The natural soil has a ψt = 1704 kPa ± 41 kPa, ψm = 1681 kPa ± 50 kPa, and ψo = 23 kPa ± 9 kPa. According to these results, the osmotic suction contributed 1.4% to the total suction of the natural soil. This demonstrates why the ψo is frequently neglected for unsaturated soil mechanics when studying natural or non-contaminated soils.
The 25 mg/kg and 50 mg/kg arsenic-contaminated soils had matric suctions of 260 kPa ± 58 kPa and 670 kPa ± 107 kPa, respectively. In contrast, their osmotic suction was 530 kPa ± 168 kPa and 467 kPa ± 30 kPa, respectively. This ψo corresponded to the 67% and 41%, respectively, of the total suction of the 25 mg/kg and 50 mg/kg arsenic-contaminated soils. Thus, the contribution of the ψo should be considered when analyzing the mechanical behavior of the contaminated unsaturated soils.
Moreover, the SWRC for both the wetting and drying paths of the 25 mg/kg arsenic-contaminated soil was evaluated to verify whether the ASTM D5298 [20] calibration curve gives similar results to those obtained with the calibration curve of Section 3.2 for the filter paper Whatman Grade 42. From Figure 6, it can be seen that the ASTM D5298 calibration curve provides higher total and matric suction values for the contaminated soil.
The soil suction was evaluated with the ASTM D5298 and Section 3.2 calibration curves for the 25 mg/kg arsenic-contaminated soil at Sr = 0.8. Considering the ASTM D5298 calibration curve, the total suction of the 25 mg/kg arsenic-contaminated soil in the wetting path was 7455 kPa ± 2180 kPa, while in the drying path, the total suction was 3750 kPa ± 2610 kPa. These values were 9.5-fold and 3.4-fold times higher than those obtained using the Section 3.2 calibration curves for the wetting and drying paths of the arsenic-contaminated condition.
These results indicate that the soil suction would correspond to a soil with a higher fine-grain size content (explained through the Laplace equation) than the soil used in this experiment, which does not correlate with the total suction value and the soil properties reported in Table 1. Thus, it is recommended that before evaluating the suction of contaminated soil, the corresponding calibration curve should be obtained to avoid misinterpretation of the mechanical and hydraulics properties.

3.4. Permeability

3.4.1. Falling Head Permeability Test

The permeability results of the falling head test are present in Table 5. Soil’s arsenic contamination had a substantial effect on the hydraulic behavior of the soil mass. The saturated permeability increases two orders of magnitude as the arsenic concentration increases. The changes in the saturated permeability are due to chemical reactions between the soil elements and the contaminant added, which increases the pore spaces in the soil mass and causes a structural change in the soil after contamination [21].

3.4.2. Prediction of the Permeability Coefficient from the Consolidation Test

Table 6 presents the mixture density of the 25 mg/kg and 50 mg/kg arsenic solutions used and the predicted coefficient of permeability using Equation (3). Although the consolidation tests were performed, the results were only considered here to predict the k value of the soils.
In the case of the natural soil (0 mg/kg), even when the predicted k value is 40% lower than the measured one, its value remained in the same order of magnitude. Nevertheless, for the case of the arsenic-contaminated soils, there is a difference of at least two orders of magnitude when comparing the predicted versus the measured k values.
According to the k variation, arsenic-contaminated soils behave like coarse-grained soils. Such behavior is supported by the porosimetry test results that indicated that the pore sizes increased and resulted in higher k values. However, the predicted k of the contaminated soils do not reflect such modification, and, consequently, the k values obtained from the consolidation test do not correspond with the soil behavior.
Thus, if these results are used in geotechnical design to represent how the liquids are carried out through the soil, it would result in inadequate solutions. So, Equation (3) should be avoided when analyzing contaminated soil samples. Furthermore, additional studies should be performed to fully evaluate the hydraulic conductivity function of the unsaturated soils since it is related to the matric suction of the soil.

4. Conclusions

A change in the pore size distribution of the soil was observed after soil contamination. Due to the soil–water–contaminant interaction, the matric suction of the contaminated samples decreased while its osmotic suction increased compared with the correspondent natural soil suctions. This indicates that the role of the osmotic suction should be considered when studying unsaturated soils that are contaminated.
The SWRC of the arsenic-contaminated soil was influenced by the calibration curve used for the filter paper Whatman Grade 42. It was found that when using the calibration curve provided by the ASTM D5298, the suction values tended to be higher than the ones obtained using the calibration curve developed for the case of the arsenic-contaminated soils. Thus, to avoid misinterpretation of the unsaturated soil’s behavior when contaminated, it should be recommended to obtain the calibration curve according to the type and the concentration of the contaminant present in the soil.
Limitations of this research are mainly due to the filter paper method applied. Such limitations are because the matric suction measurements depend on the adequate contact between the soil and the filter paper. In contrast, such contact must be avoided for the total suction measurement. The equilibration time needed for soil suction measurements is a minimum of seven days and depends on the type of soil and the expected soil suction magnitude to be measured. Moreover, this method does not evaluate the soil suction at different overload pressures.
After comparing the permeability coefficient of the contaminated soils through the falling head with the oedometric test, it is concluded that the equation used to predict the permeability coefficient of unsaturated soil under contaminated conditions does not represent the soil behavior. Hence, it is recommended to avoid its use for geotechnical analysis and design when working with contaminated soils.

Author Contributions

Conceptualization, C.E.H.-M.; methodology, C.E.H.-M. and I.V.-N.; investigation, I.V.-N. and C.E.H.-M.; data curation, I.V.-N.; data visualization: I.V.-N.; formal analysis, I.V.-N. and C.E.H.-M.; writing–original draft preparation: I.V.-N.; writing–review and editing: C.E.H.-M.; supervision, C.E.H.-M.; project administration, C.E.H.-M.; funding acquisition, C.E.H.-M. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Consejo Nacional de Ciencia y Tecnología (CONACYT), grant number CONACYT 270161, and by the Universidad Autónoma de Querétaro, grant number UAQ FIN-2020-03 (FONDEC-UAQ-2019).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data presented is contained within the article.

Acknowledgments

Vázquez-Nogal acknowledges the scholarship provided by CONACYT for his Ph.D. studies.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  1. Markiewicz-Patkowska, J.; Hursthouse, A.; Przybyla-Kij, H. The interaction of heavy metals with urban soils: Sorption behaviour of Cd, Cu, Cr, Pb and Zn with a typical mixed brownfield deposit. Environ. Int. 2005, 4, 513–521. [Google Scholar] [CrossRef] [PubMed]
  2. Covarrubias, S.A.; Cabriales, J.J.P. Contaminación ambiental por metales pesados en Mexico: Problematica y estrategias de fitorremediación. Rev. Int. Contam. Ambient. 2017, 33, 7–21. [Google Scholar] [CrossRef]
  3. Paul, T.; Saha, N.C. Environmental Arsenic and Selenium Contamination and Approaches Towards Its Bioremediation Through the Exploration of Microbial Adaptations: A Review. Pedosphere 2019, 29, 554–568. [Google Scholar] [CrossRef]
  4. Twaddle, N.C.; Vanlandingham, M.; Beland, F.A.; Deorge, D.R. Metabolism and disposition of arsenic species from controlled dosing with dimethylarsinic acid (DMAV) in adult female CD-1 mice.V. toxicokinetic studies following oral and intravenous administration. Food Chem. Toxicol. 2019, 130, 22–31. [Google Scholar] [CrossRef] [PubMed]
  5. Mahimairaja, S.; Bolan, N.S.; Adriano, D.C.; Robinson, B. Arsenic contamination and its risk management in complex environmental settings. Adv. Agron. 2005, 86, 1–82. [Google Scholar] [CrossRef]
  6. Mandal, B.K.; Suzuki, N.T. Arsenic round the world: A review. Talanta 2002, 58, 201–235. [Google Scholar] [CrossRef]
  7. Bakhat, H.F.; Zia, Z.; Abbas, S.; Hammad, H.M.; Shah, G.M.; Khalid, S.; Shahid, N.; Sajjad, M.; Fahad, S. Factors controlling arsenic contamination and potential remediation measures in soil-plant systems. Groundw. Sustain. Dev. 2019, 9, 100263. [Google Scholar] [CrossRef]
  8. Sposito, G. The Chemistry of Soils, 2nd ed.; Oxford University Press: Oxford, UK, 2008. [Google Scholar]
  9. Fredlund, D.G.; Rahardjo, H. Soil Mechanics for Unsaturated Soils; John Wiley & Sons: Hoboken, NY, USA, 1993. [Google Scholar]
  10. Hernández-Mendoza, C.E.; García, P.; Chávez, O. Geotechnical Evaluation of Diesel Contaminated Clayey Soil. Appl. Sci. 2021, 11, 6451. [Google Scholar] [CrossRef]
  11. Farouk, A.; Lamboj, L.; Kos, J. A Numerical Model to Predict Matric Suction Inside Unsaturated Soils. Acta Polytech. 2004, 44, 3–10. [Google Scholar] [CrossRef]
  12. Letourneau, G.; Caron, J.; Anderson, L.; Cormier, J. Matric potential based irrigation management of field-grown strawberry: Effects on yieldand water use efficiency. Agric. Water Manag. 2015, 161, 102–113. [Google Scholar] [CrossRef] [Green Version]
  13. Fredlund, D.G.; Rahardjo, H.; Fredlund, M. Unsaturated Soil Mechanics in Engineering Practice; John Wiley & Sons: Hoboken, NY, USA, 2012. [Google Scholar]
  14. Rahardjo, H.; Kim, Y.; Satyanaga, A. Role of unsaturated soil mechanics in geotechnical engineering. J. Geoengin. 2019, 10, 1–23. [Google Scholar] [CrossRef] [Green Version]
  15. Pan, H.; Qing, Y.; Pei-Yong, L. Direct and indirect measurement of soil suction in the laboratory. Electron. J. Geotech. Eng. 2010, 15, 1–14. [Google Scholar]
  16. Eyo, E.U.; Ng’ambi, S.; Abbey, S.J. Effect of intrinsic microscopic properties and suction on swell characteristics of compacted expansive clays. Transp. Geotech. 2019, 18, 124–131. [Google Scholar] [CrossRef]
  17. Chen, L.; Bulut, R.; Zaman, M. A study of tensile stress with suction by restrained ring method. Transp. Geotech. 2020, 23, 100306. [Google Scholar] [CrossRef]
  18. ASTM D5298-16; Standard Test Method for Measurement of Soil Potential (Suction) Using Filter Paper; ASTM International: West Conshohocken, PA, USA, 2016.
  19. Bulut, R.; Lytton, R.L.; Wray, W.K. Soil suction measurements by filter paper. In Expansive Clay Soils and Vegetative Influence on Shallow Foundations; Vipulanandan, C., Addison, M.B., Hasen, M., Eds.; ASCE: Reston, VA, USA, 2001; pp. 243–261. [Google Scholar]
  20. Nayak, S.; Sunil, B.M.; Shrihari, S. Hydraulic and compaction characteristics of leachate-contaminated lateritic soil. Eng. Geol. 2007, 94, 137–144. [Google Scholar] [CrossRef]
  21. Sunil, B.; Shrihari, S.; Nayak, S. Shear strength characteristics and chemical characteristics of leachate-contaminated lateritic soil. Eng. Geol. 2009, 106, 20–25. [Google Scholar] [CrossRef]
  22. Mohamed, A.; Paleologos, E. Fundamentals of Geoenvironmental Engineering: Understanding Soil, Water, and Pollutant Interaction and Transport, 1st ed.; Butterworth-Heinemann: Oxford, UK, 2017. [Google Scholar]
  23. Lu, N.; Likos, W.J. Unsaturated Soils Mechanics, 1st ed.; John Wiley: Hoboken, NJ, USA, 2004. [Google Scholar]
  24. NOM-147-SEMARNAT/SSA1-2004. Mexican Official Norm NOM-147-SEMARNAT/SSA1-2004 Criterios Para Determinar las Concentraciones de Remediación de Suelos Contaminados por Arsénico, Bario, Berilio, Cadmio, Cromo Hexavalente, Mercurio, Níquel, Plata, Plomo, Selenio, Talio y/o Vanadio. pp. 35–96. Available online: https://www.gob.mx/cms/uploads/attachment/file/135331/48.-_NORMA_OFICIAL_MEXICANA_NOM-147-SEMARNAT-SSA1-2004.pdf (accessed on 1 January 2022).
  25. Rico-Rodríguez, M.A.; Prieto, F.; Roman, A.; Otazo, E.; Acevedo, O. Caracterización de tres suelos en Hidalgo y Querétaro, México: Disponibilidad y daño tóxico por arsénico en garbanzo (Cicer arietinum L.). Rev. Fac. Cienc. Agrar. Univ. Nac. Cuyo. 2013, 45, 225–246. [Google Scholar]
  26. Likos, W.J.; Lu, N. Filter paper technique for measuring total soil suction. Transp. Res. Rec. 2002, 1786, 120–128. [Google Scholar] [CrossRef]
  27. ASTM D5084-03; Standard Test Methods for Measurement of Hydraulic Conductivity of Saturated Porous Materials Using a Flexible Wall Permeameter. ASTM International: West Conshohocken, PA, USA, 2003.
  28. ASTM D2435-04; Standard Test Methods for One-Dimensional Consolidation Properties of Soils Using Incremental Loading. ASTM International: West Conshohocken, PA, USA, 2004.
  29. Ciesla, J.; Sokolowska, Z.; Witkowska-Walczak, B.; Skic, K. Adsorption of water vapour and the specific surface area of artic zone soils (Spirsbergen). Int. Agrophys. 2018, 32, 19–27. [Google Scholar] [CrossRef]
  30. De Gisi, S.; Lofrano, G.; Grassi, M.; Notarnicola, M. Characteristics and adsorption capacities of low-cost sorbents for wastewater treatment: A review. SMT 2016, 9, 10–40. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Filter paper procedure for soil suction measurement: (a) Total suction and (b) matric suction measurement by filter paper method.
Figure 1. Filter paper procedure for soil suction measurement: (a) Total suction and (b) matric suction measurement by filter paper method.
Applsci 12 02610 g001
Figure 2. Soil sample preparation: (a) soil compaction mold used for soil remolding and (b) sealed glass jar with a soil sample to reach the degree of saturation.
Figure 2. Soil sample preparation: (a) soil compaction mold used for soil remolding and (b) sealed glass jar with a soil sample to reach the degree of saturation.
Applsci 12 02610 g002
Figure 3. BET-N2 analysis of the natural and arsenic-contaminated soils: (a) isotherms for arsenic-contaminated samples and (b) pore-diameter distribution.
Figure 3. BET-N2 analysis of the natural and arsenic-contaminated soils: (a) isotherms for arsenic-contaminated samples and (b) pore-diameter distribution.
Applsci 12 02610 g003
Figure 4. Calibration curves of the Whatman Grade 42 filter paper for the natural and arsenic-contaminated conditions.
Figure 4. Calibration curves of the Whatman Grade 42 filter paper for the natural and arsenic-contaminated conditions.
Applsci 12 02610 g004
Figure 5. Soil–water retention curve of the natural and arsenic-contaminated soils: (a) total suction on wetting path, (b) total suction on drying path, (c) matric suction on wetting path, and (d) matric suction on drying path.
Figure 5. Soil–water retention curve of the natural and arsenic-contaminated soils: (a) total suction on wetting path, (b) total suction on drying path, (c) matric suction on wetting path, and (d) matric suction on drying path.
Applsci 12 02610 g005
Figure 6. Soil–water retention curve of the 25 mg/kg arsenic-contaminated soil evaluated with the ASTM D5298 calibration curve and the one obtained in Section 3.2: (a) wetting path and (b) drying path.
Figure 6. Soil–water retention curve of the 25 mg/kg arsenic-contaminated soil evaluated with the ASTM D5298 calibration curve and the one obtained in Section 3.2: (a) wetting path and (b) drying path.
Applsci 12 02610 g006
Table 1. Geotechnical properties of the sieved soil used for the experiments.
Table 1. Geotechnical properties of the sieved soil used for the experiments.
ParameterValueTest Method
Unit weight (kN/m3)17.2 ± 0.1 1ASTM D7263
Water content (%)27.0 ± 0.3ASTM D2216
Liquid Limit (%)80.3 ± 0.1ASTM D4318
Plastic Limit (%)37.6 ± 0.1ASTM D4318
Soil classificationMHASTM D2487
Sand content (%)92 ± 3.3ASTM D6913
Fines content (%)8 ± 2.1ASTM D6913
1 Values in table are reported as average ± standard deviation (n = 5).
Table 2. Sodium chloride concentrations for evaluating soil suction.
Table 2. Sodium chloride concentrations for evaluating soil suction.
Suction
(kPa)
Suction
(Log kPa)
Relative Humidity (%)NaCl Concentration
(g/L)
981.990.99931.3
2682.430.99803.3
3102.490.99773.8
5852.770.99607.2
9802.990.992813.1
30993.490.977639.0
98003.990.9301122.5
Table 3. Specific surface area and pore diameter of the natural and arsenic-contaminated soils.
Table 3. Specific surface area and pore diameter of the natural and arsenic-contaminated soils.
Arsenic Concentration
(mg/kg)
Specific Surface Area
(m2/g)
Adsorbed Volume
(cm3/g·nm)
Pore Diameter
(nm)
0 *111.1360.007775.6282
2593.3490.004865.6845
50101.9650.003257.8141
* Natural soil.
Table 4. Water content of the filter paper used for the calibration curve for the two arsenic contamination conditions.
Table 4. Water content of the filter paper used for the calibration curve for the two arsenic contamination conditions.
SuctionWater Content (%)
(kPa)NaCl + As: 25 mg/kgNaCl + As: 50 mg/kg
9822.389 ± 0.608 129.277 ± 0.852
26821.696 ± 0.52924.566 ± 2.985
31022.315 ± 0.48620.332 ± 0.341
58517.390 ± 4.52919.436 ± 0.579
98019.120 ± 1.96818.057 ± 1.001
309915.267 ± 1.24913.650 ± 0.148
980010.166 ± 1.7447.677 ± 0.316
1 Values in table are reported as average ± standard deviation (n = 3).
Table 5. Permeability values of the soils obtained from the ASTM D5084 [27] falling head test.
Table 5. Permeability values of the soils obtained from the ASTM D5084 [27] falling head test.
Arsenic Concentration (mg/kg)k (m/s)
0 *5.3 × 10−10 ± 6.2 × 10−11 **
252.5 × 10−8 ± 4.7 × 10−9
501.2 × 10−8 ± 1.4 × 10−7
* Natural soil; ** values in table are reported as average ± standard deviation (n = 3).
Table 6. Permeability coefficient values predicted from the consolidation test parameters of the soils.
Table 6. Permeability coefficient values predicted from the consolidation test parameters of the soils.
Arsenic Concentration (mg/kg) c v ( m 2 / s ) E m ( N / m 2 ) ρ m ( kg / m 3 ) k
(m/s)
0 *3.15 × 10−89.1 × 1051000.003.2 × 10−10
251.67 × 10−81 × 1061001.101691.6 × 10−10
502.79 × 10−86.8 × 1051002.031254.0 × 10−10
* Natural soil.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Vásquez-Nogal, I.; Hernández-Mendoza, C.E. Evaluation of the Soil–Water Retention Curve of Arsenic-Contaminated Soil by the Filter Paper Method. Appl. Sci. 2022, 12, 2610. https://doi.org/10.3390/app12052610

AMA Style

Vásquez-Nogal I, Hernández-Mendoza CE. Evaluation of the Soil–Water Retention Curve of Arsenic-Contaminated Soil by the Filter Paper Method. Applied Sciences. 2022; 12(5):2610. https://doi.org/10.3390/app12052610

Chicago/Turabian Style

Vásquez-Nogal, Ismael, and Christian E. Hernández-Mendoza. 2022. "Evaluation of the Soil–Water Retention Curve of Arsenic-Contaminated Soil by the Filter Paper Method" Applied Sciences 12, no. 5: 2610. https://doi.org/10.3390/app12052610

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop