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Article

Pilot Test of Soil Washing for Arsenic-Contaminated H2SO4 Plant Soil Using Discarded H2SO4

1
School of Ecology and Environment Science, Zhengzhou University, 100 Kexue Avenue, Zhengzhou 450001, China
2
Zhengzhou Sewage Purification Co., Ltd., Zhengzhou 450000, China
3
Zhongyuan Environment Protection Co., Ltd., Zhengzhou 450000, China
4
Zhongyuan Eco-Environmental Technology Innovation Center (Henan) Co., Ltd., Zhengzhou 450000, China
*
Author to whom correspondence should be addressed.
Processes 2025, 13(7), 2171; https://doi.org/10.3390/pr13072171
Submission received: 16 May 2025 / Revised: 3 July 2025 / Accepted: 4 July 2025 / Published: 8 July 2025
(This article belongs to the Section Environmental and Green Processes)

Abstract

This study investigates an innovative soil washing process designed to remediate arsenic (As) contamination in sulfuric acid (H2SO4) plant soil by using discarded H2SO4 solution in situ. The pilot-scale process comprises five key steps: screening and rinsing of oversized sand, washing the soil with H2SO4, phase separation, recycling the washing solution, and water recovery. This research explored the optimal washing parameters for the process and further researched the reuse of the H2SO4 solution across multiple batches. The pH of the washing solution, critical at a threshold of 6.5, was identified as a key factor for effective recycling. Approximately 75% of the H2SO4 solution was successfully recycled. In terms of economic analysis, the total operational cost of the soil washing process was significantly lower than in previous studies. Overall, these findings demonstrate the feasibility of using discarded H2SO4 as a washing agent for As-contaminated soil. The integration of automated pH-based monitoring technology streamlines the washing process, providing a cost-effective and effective As removal remediation strategy, making it a viable option for large-scale applications in soil remediation.

1. Introduction

Arsenic (As) is a naturally occurring toxic metalloid present in the environment [1]. Human activities, such as mining, smelting, and pesticide application are major contributors to arsenic-contaminated soils [2,3]. As a highly toxic element, arsenic can lead to severe health issues, including disruptions in cellular metabolism, respiratory problems, cancer [4], and various pathological changes [1]. Given that soil is in constant interaction with water and air [5], arsenic-contaminated soil not only poses significant risks to human health but also threatens ecosystems by disrupting soil health and biodiversity [6]. According to the U.S. Geological Survey (USGS), China has consistently ranked first in global arsenic production [7]. In particular, regions in the southwest China, such as Yunnan Province, where significant realgar (As4S4) ore deposits exist, are heavily affected [8]. The application of As4S4 in sulfuric acid (H2SO4) production generates significant ecotoxicological threats via arsenic emission. In essence, As4S4 can releases As during roasting processes via Equation (1) [9]. Volatile arsenic trioxide (As2O3) either escapes as emissions or condenses within equipment. Subsequently, during flue gas scrubbing with water or lime slurry, As2O3 reacts to form soluble arsenite (H3AsO3) or solid arsenites Ca3(AsO3)2 (Equations (2) and (3)) [10]. Moreover, solid residues from roasting contain unoxidized As4S4 and Fe(III)–arsenic phases like scorodite (FeAsO4·2H2O). These arsenic-containing roasting residues are often directly stockpiled on soil, where rainwater leaches soluble arsenate (H2AsO4) through acid dissolution via Equation (4). In neutral–alkaline soils, arsenate (HAsO42−) adsorbs onto iron oxides, but under reducing conditions (e.g., flooded rice paddies), reductive dissolution of Fe(III) minerals releases As contaminating crops and groundwater, ultimately entering the food chain [11]. Therefore, it is an urgent need to implement appropriate measures to remediate arsenic-contaminated soils.
As4S4 + 7O2 → 2As2O3(g) + 4SO2
As2O3 + 3H2O → 2H3AsO3
3Ca(OH)2 + 2H3AsO3 → Ca3(AsO3)2↓ + 6H2O
FeAsO4 + 2H+ → Fe2+ + H2AsO4
Traditionally, the remediation of As-contaminated soils has relied on methods such as excavation and replacement [12], in situ capping [13], solidification/stabilization (S/S) techniques [14,15], bio-remediation [16,17], plant extraction technology [18], soil washing [6], ultrasonically aided technique [2,19], high intensity magnetic separation (HIMS) [20], and electrokinetic remediation [21,22]. Nevertheless, incomplete removal of metals through adsorption and coprecipitation, the possible mobilization of metals in changing chemical conditions (such as a decrease in pH), and/or solubilization of As-containing phases [23] still occur. Moreover, sulfate and acid rain can degrade S/S materials, compromising their durability and contributing to persistent As contamination [24]; such durability concerns also increase remediation costs. In contrast, soil washing has emerged as a promising alternative due to its ability to completely remove As contaminants, its high heavy metal treatment efficiency, broad soil–contaminant compatibility, and minimized waste generation [2,25,26]. In recent years, inorganic acids [27], organic acids [28], surfactants [25], and alkaline solvents [29] have been used to extract As in the soil minerals by the dissolution of minerals and anionic exchange [2,30]. However, the extensive use of reagents would increase the cost of soil remediation; moreover, these additional reagents may change the bioavailability of As in the soil, leading to potential environmental risk. Although there is a certain research foundation for soil washing technology in soil remediation, reducing the As content in soil is difficult because of the bad economy and automaticity of the remediation process [27,31,32].
In this research, we conducted a pilot-scale soil washing test to reduce As levels in contaminated H2SO4 plant soil to achieve standard B of the soil quality assessment for exhibition sites in China (80 mg kg−1) by utilizing discarded H2SO4 in situ. The process can be dynamically optimized to ensure maximum arsenic removal while minimizing chemical usage by using a feedback loop that adjusts the concentration of H2SO4 and the washing duration based on pH readings. This study successfully improved the automation and cost-efficiency of the technology compared to previous pilot tests, which involved complex procedures and high processing costs.

2. Materials and Methods

2.1. Soil Samples

Soil samples were collected from the 0 to 30 cm surface layer at a plant site in Luliang, Yunnan. The use of As4S4 by H2SO4 plants generates a significant amount of arsenic (As) waste, leading to arsenic contamination in the plant soil. For standard pedological analysis, the soil pH was measured in a 1:2.5 (w/v) soil to 0.01 M CaCl2 water solution suspension. Soil samples were analyzed for organic matter by modified Walkley–Black titrations, cation exchange capacity (CEC) by the ammonium acetate method, and soil texture by employing the pipette method. The characteristics of soil sample are present in Table 1.

2.2. Chemicals and Reagents

Potassium chloride (KCI, purity, 99%), hydrochloric acid (HCI, purity, 36–38%), nitric acid (HNO3, purity, 65–68%), sulfuric acid (H2SO4, purity, 95–98%), polyacrylamide (PAM, purity, 99%), sodium hydrogen phosphate (Na2HPO4·12H2O purity, 99%), sodium dihydrogen phosphate (NaH2PO4·2H2O, purity, 99%), and sodium hydroxide (NaOH, purity, 99%) were purchased from Beijing Chemical Reagents Company (Beijing, China). All solvents, chemicals, and reagents were used as received without any further purification. The Direct-Q3 UV Milli-Q Water purification system (Merck Millipore, Shanghai, China) was employed to prepare Ultrapure water (18.2 MΩ cm) throughout the experiments. The solution pH was adjusted with H2SO4 and NaOH solutions.

2.3. As Sequential Extraction Analysis

The As sequential extraction analysis is aimed to further verify the feasibility of the washing process.
  • Add 25 mL of 0.25 M KCl to 2.5 g of sample in a 250 mL volumetric flask to extract the soluble fraction of arsenic species and stir the slurry for 2 h;
  • Extract the adsorbed fraction of arsenic species by adding 0.1 M Na2HPO4 (25 mL, pH 8.0) and stirring for 20 h;
  • Extract the carbonate fraction by adding 1 M sodium acetate (25 mL) and stirring for 5 h, and add 0.1 M Na2HPO4 (25 mL) and stir for 20 h;
  • Extract the operationally defined crystalline mineral fraction of crystalline oxide and amorphous aluminosilicates by adding aqua regia (30 mL HCl and 10 mL HNO3) and stirring for 1 h.
The stirring condition of the above arsenic sequential extraction procedures was 120 rpm. An aliquot of 10 mL of supernatant was taken and centrifuged at 3200 rpm for 20 min, and then filtered with a 0.45 μm filter.
The amount of the soluble fraction, adsorbed fraction, and carbonate-bound fraction is 96.6 percent in all As sequential extraction fractions. In addition, As content of the residual fraction is 6.6 mg·kg−1, which is lower than 20 mg·kg−1 which is the criterion referenced (Table 2). Thus, the washing process with H2SO4, the acid from the contaminated plate, is available.

2.4. As Determination

The As content in soil was measured by X-ray fluorescence (XRF, Axios, Panalytical Netherland, Almelo, The Netherlands). The soluble As concentration in washing water was analyzed with inductively coupled plasma-optical emission spectroscopy (ICP-OES; Optima 8300, Perkin Elmer, Waltham, MA, USA). ICP-OES measurement of As at a wavelength of 193.696 nm may have interferences with V and Ge. The concentration of V was measured at 0.15 ppm, Ge was not detected, and, thus, would likely have a limited impact on As quantification [33].

2.5. Criterion

The As content in treated soil should be less than 20 mg·kg−1 (in reference to the Standard A of soil quality assessment for exhibition sites in China). The As concentration in treated water should be less than 0.5 mg·L−1 (in reference to the integrated wastewater discharge standard in China).

3. Soil Washing Process and Equipment

The flowchart of the pilot-scale soil remediation process (Figure 1) outlined here is a batch process consisting of five main steps:

3.1. Step1. Screening and Rinsing of Oversized Sand

Batches of 200 kg of As-contaminated soil (air-dried, with an average humidity of 4.8 ± 0.4%) fell from a feed hopper (a), which has a 3 m3 capacity, and were precisely transferred to the screening machine (b). This machine separated oversized sand from the soil using a 2 mm sieve. The oversized sand was then sent to the sand washer (c), where 10 L of fresh tap water was used for rinsing. The cleansed oversized sand was piled, awaiting backfilling.

3.2. Step2. Soil Washing and Phase Separation

Soil from Step 1, with a diameter less than 2 mm, was transferred to the first washing machine (d) via a screw conveyor and was washed with H2SO4 from a dosing tank (e). The initial washing process parameters were set at a 0.4% (V/V) H2SO4 concentration, a 5:1 water-to-soil ratio, and a 60 min washing time. Consequently, 1000 L of tap water and 4 L of concentrated sulfuric acid were mixed in the washing machine and agitated for 60 min at 25 rpm. Approximately 75% of the washing H2SO4 solution was recycled to the first washing machine for the subsequent batch of soil washing, leveraging the increased availability of H+ ions for washing in the lower pH solution. After soil washing, the mixture of soil and H2SO4 solution was sent to the high-efficiency settling tank (f), where it was separated into a solid phase (washed soil) and a liquid phase (washing H2SO4 solution).

3.3. Step3. H2SO4 Recycling and Treatment of Washed Soil

The washed soil was then transferred to the second washing machine (g) for further treatment using a pump, while the washing H2SO4 solution was sent to the buffer tank for treatment in Step 4. The washed soil in the second washing machine was rinsed with 1000 L of fresh tap water for 30 min at 20 rpm to further reduce the As concentration in the soil and increase the pH of the washing water, ensuring safe backfilling. After rinsing, the mixture from the second washing machine was transferred to a settling tank (h) for phase separation, with the washed soil and rinsing water being sent to the buffer tank in Step 4 for subsequent treatment. The washed soil was then pumped into a belt filter press, reducing the soil’s humidity to less than 80%. Finally, piles of remediated soil, mixed with the cleansed oversized sand from Step 1, were air-dried and backfilled.

3.4. Step4. Treatment of Washing Solution

The washing water in the buffer tank (j) from Step 1, Step 2, and Step 3 was close to neutral pH, in which condition the FeSO4 was easier to be oxidized to Fe3+ by O2 in the aeration tank. After adding 2.5 kg of FeSO4 from the dosing tank into 2000 L washing water, the suspension flowed into the aeration tank, where it was oxidized in 30 min for Fe2+ to transform completely. Then, polyacrylamide (PAM) was added into the aeration tank (k) for As and Fe precipitating. Finally, the supernate in the aeration tank fell into the water tank (m) for recovery in Step 5 and the precipitate was sent to the plate-and-frame filter press (l); after that it would be hazardous waste that should be disposed of specially.

3.5. Step5. Recycling of Washing Water

The treated washing water in the water tank (m) was recycled. It was used in the first washing machine (d) in Step 2 to wash the subsequent batch of soil with H2SO4. Moreover, it was utilized in the second washing machine (g) in Step 3 to rinse the subsequent batch of soil, effectively serving as fresh tap water.

4. Results and Discussion

4.1. Parameters in the Washing Process

The recommended washing process parameters, including washing time, water/soil, and H2SO4 concentration, were determined to be 60 min, 0.4% H2SO4, and 5:1, respectively (Figure 2). More than 90% of the arsenic (As) was removed within 100 min of the washing period, and the washing period beyond 60 min did not significantly increase As removal (Figure 2A). Given that a longer washing period increases operating costs, 60 min was selected for this study. As shown in Figure 2B, although the As content in the washed soil under all water-to-soil conditions was below 20 mg/kg (referencing Standard A of soil quality assessment for exhibition sites in China), the washing efficiency of the H2SO4 solution significantly decreased at a 6:1 water-to-soil ratio due to a sharp reduction in As concentration compared to other conditions. Therefore, a 5:1 water/soil ratio was chosen. Additionally, the concentration of As in the washing solution showed a good linear correlation with H2SO4 concentrations up to 0.6% H2SO4 (Figure 2C). Considering the cost of the agent in the project, a 0.4% H2SO4 concentration was chosen, as the As content had remained below 20 mg/kg.
It is economically and simply feasible to treat As pollution using discarded H2SO4 from plants. However, the changes in soil physicochemical properties and phytotoxicity are recommended to assess [6,34]. pH is considered to be a key factor in regulating these properties [35]. Indeed, the results demonstrate near-neutral soil pH following the washing in Step 3. As it is presented, the residual acidic leachate reduces to <25% after solid–liquid separation in Step 2, and the rinsing (1000 L tap water) process in the Step 3 further removes arsenic while neutralizing pH. In practice, the washed plant soil was used to backfill the plant building on-site, and the pH of the washed soil ranged from 6 to ~7.5 (Figure 3). It should be noted that the acid washing may influence the composition of microbial communities, affect trace metal concentrations and/or speciation, and alter nutrient accessibility. Subsequent plant extraction technology and bio-remediation synergistic application could be used to enhance soil fertility. For this study, >90% efficiency of As removal was achieved, and neutral pH was maintained after the remediation process.

4.2. H2SO4 Recycling and Water Recovery

4.2.1. Reuse of H2SO4 in the Washing Process

The 0.4% H2SO4 solution used for soil washing remained effective for the next batch, so the potential for reusing the H2SO4 solution was explored in Step 3, and four batches were selected. The initial batch had an As concentration of 22.1 mg·L−1 at a pH of 6.34. With increasing reuse, the As concentration also increased, while the pH fluctuated minimally until the fifth batch. It was evident that As removal was inhibited in the fifth batch due to the As concentration being equal in the fourth and fifth batches. Additionally, the pH began to rise from 6.5 after the fifth batch. In the sixth and seventh batches, the As concentration decreased gradually as the pH increased. Since some H2SO4 solution was lost during the soil washing process (Step 2) due to soil absorption, we controlled the recycling to an average of 75% (V/V) of the H2SO4 solution in the washing process.
The pH of the solution in the first washing machine (Figure 3) could serve as an effective monitoring factor for the reuse of H2SO4. If the pH was below 6.5, the washing solution could be used for the next batch; otherwise, it could not. Therefore, the process of H2SO4 recycling could be automated by monitoring the pH. This critical pH of 6.5 aligns with the research of Zhu, Zhang [36] who found that the As concentration decreased most rapidly in solution at around pH 6.5 during the mixing and precipitation of AsO43− with Ca2+. As Table 1 indicates, the plant soil was sandy and contained 5.4 × 105 mg/kg of Ca; considering the karst geological features of the sample collection site Yunnan, it is reasonable to infer that the predominant AsO43− was adsorbed with Ca2+, and abundant CaCO3-containing minerals partially neutralized sulfuric acid during washing. To be sure, this phenomenon is specific to samples of this study and not universally applicable. The result demonstrates this soil washing process has efficacy for alkaline soils. For non-alkaline soils the leachate pH rises more slowly, and more washing cycles may be achieved without changing the washing regent (when pH <6.5 after multiple washing cycles). Although soil organic matter has been reported to play a significant role in retaining heavy metals [37], organic matter content represents less than 0.1% in the soils from this study (Table 1), indicating that it likely removes less As than phases such as Fe-(oxyhydr)oxides [38].

4.2.2. Remediation of Washing Water for Water Recovery

The wastewater with about 45 mg·L−1 As concentration from a high-efficiency settling tank (Figure 1) was treated by precipitation using FeSO4 for water recovery. Firstly, the pH of wastewater was controlled to more than 7 by adding some Ca(OH)2 into the buffer tank. Secondly, different concentrations of FeSO4 shown in Figure 4 were injected into the wastewater for the oxidation process. Finally, As(V) and Fe(III) were coprecipitated during sufficient aeration in the aeration tank. However, the aim to realize As concentration below 0.5 mg·L−1 (referencing the integrated wastewater discharge standard in China) was not simple because of the dosage of FeSO4, although pH and aeration were easily controlled. The results shown in Figure 4 indicate that 0.5 and 1.0 kg FeSO4 in 10 m3 solution could not decrease the As concentration under 0.5 mg·L−1, but 1.25 kg and 1.5 kg FeSO4 could. However, as the aeration time increases, the concentration of As in the recovered solution with 1.25 kg FeSO4 rises again, probably due to desorption. Ultimately, this study set 1.5 kg FeSO4 as the optimal condition for this technology.

4.3. As Speciation Transformation

Prior to acid washing, arsenic in contaminated soil primarily exists as adsorbed species on Fe/Al oxides and clay minerals (dominantly arsenate, As(V)) or as coprecipitates within amorphous Fe/Mn (oxy)hydroxides (e.g., FeOOH-As). During the H2SO4 washing step (Step 2), acidic dissolution (0.4% V/V H2SO4, Ph ≈ 2) liberates oxide-bound arsenic through proton-promoted desorption and partial matrix dissolution, converting solid-phase As into soluble arsenate anions (H2AsO4, Equation (4)) in the leachate. A minor fraction of As(III) may oxidize to As(V) under acidic–aerobic conditions. Subsequent rinsing with water (Step 3) removes residual soluble arsenic but may leave re-adsorbed As(V) on mineral surfaces in the washed soil. Crucially, arsenic in the collected acidic leachate undergoes oxidative precipitation in Step 4, where aeration converts Fe2+ to Fe3+ (Equation (5)), followed by hydrolysis to form amorphous ferric oxyhydroxides (Fe(OH)3, Equation (6)). These freshly formed solids effectively sequester dissolved arsenic via coprecipitation and adsorption, transforming mobile As(V) into stable ferric arsenate complexes (Equation (7)) [39]. Consequently, over 90% of the initial arsenic is ultimately immobilized in the hazardous iron–arsenate sludge, while the remediated soil retains only low-bioavailability residual phases (e.g., lattice-bound As in silicates or recalcitrant adsorbed arsenate).
4Fe2+ + O2 + 4H+ → 4Fe3+ + 2H2O
Fe3+ + 3H2O → Fe(OH)3↓+ 3H+
≡FeOH + H2AsO4 → ≡FeHAsO4 + H2O

4.4. Process Costs

Although the total costs of the soil washing process including the equipment costs, personnel costs, material costs and profit were too difficult to evaluate during the pilot test, the costs of energy, materials, and wastes could be listed exactly in Table 3. Firstly, we calculated the total electric energy consumption for all the apparatus used: belt transporter, hopper, screening machine, sand washer, washing machine, aeration tank, plate-and-frame filter press, belt filter press, pH meter, and pumps.
The costs of all materials used in the soil washing process and wastewater treatment were measured and summarized in Table 3. The costs of all chemicals and materials were obtained from the internet (http://www.alibaba.com), while water pricing data were provided by local suppliers. The costs of H2SO4, CNY 140, were dominated in the total materials costs of CNY 150 for one ton of soil, but as referred to Section 4.1, H2SO4 from the discarded materials of H2SO4 plant was free in the pilot test. Thus, H2SO4 is a good choice for treating As pollution soil by washing in or near the H2SO4 plant. Compared with the previous pilot-tests, the total costs of CNY 150 for materials were inexpensive. David Voglar and Domen Lestan charge CNY 274 for materials per ton of metal contaminated garden soil using ethylene diamine tetraacetic acid (EDTA) in 2012 [40], and they cost CNY 231 with materials for one ton of soil using EDTA by the updated washing process in 2013 [41].
The total cost was CNY 423 lower than methods reported by Voglar and Lestan (CNY 580 in 2012 and CNY 515 in 2013). However, as displayed in Table 3, the energy cost was more than half of the total. Therefore, it would improve the economics of soil washing by simplifying the process and utilizing appropriate equipment.

5. Conclusions

The soil washing process for As-contaminated plants in our study aimed to make this technology more automatic and economical. H2SO4, which is the discarded material of plants, was used as a washing agent to treat pollution to reduce the cost of materials and then, based on the washing agent, the recommended washing process parameters including washing time, water/soil, and H2SO4 concentration were determined to be 60 min, 0.4% H2SO4, and 5:1, respectively. In addition, the H2SO4 recycling and water recovery induced the usage of H2SO4 and water as much as possible within H2SO4 by recycling four batches until they reached pH 6.5 and water treating until As concentration fell below 0.5 mg·L−1. Moreover, the pH of the solution could be a great monitoring factor in the reuse of H2SO4 and recovery of water to realize automation. Finally, calculating the cost of energy, materials, and wastes revealed that materials cost of CNY 150 and total costs of CNY 423 were lower than those reported in previous pilot tests by David Voglar and Domen Lestan.

Author Contributions

Conceptualization, data curation, writing—original draft, D.W.; resources, H.X.; methodology, writing—original draft, Y.C.; methodology, W.Z.; writing—original draft, A.G.; writing—review and editing, Y.L.; writing—review and editing, H.B.; writing—review and editing, G.D.; writing—review and editing, D.M.; funding acquisition and writing—review and editing, Y.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Key Scientific Research Project of Higher Educatiorinstitutions in Henan Province (25ZX003), Young Talent Support Program of Henan Associatiorfor Science and Technology (2025HYTP086), and the Key Laboratory of Intelligent Health Perceptiorand Ecological Restoration of Rivers and Lakes, located at Hubei University of Technology, Ministry of Education, under Grant No. HGKFYB15.

Data Availability Statement

The data presented in this study are available on request from the corresponding author (the data are not publicly available due to privacy or ethical restrictions.).

Conflicts of Interest

Author Di Wang was employed by the company Zhengzhou Sewage Purification Co., Ltd. Author Di Wang, Hongbin Xu, Ying Cao, Wei Zhang were employed by Zhengzhou University. Authors Di Wang, Yingxu Liu, Haihua Bao, Guangrui Dong, Di Mao and Yunfei Tan were employed by the company Central Plains Environmental Protection Co., Ltd. Author Aihua Gao was employed by the company Zhongyuan Eco-Environmental Technology Innovation Center (Henan) Co., Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
AsArsenic
As4S4Realgar
H2SO4Sulfuric acid
USGSU.S. Geological Survey
HIMSHigh intensity magnetic separation
CECCation exchange capacity
XRFX-ray fluorescence
ICP-OESInductively coupled plasma-optical emission spectroscopy
PAMPolyacrylamide
EDTAEthylene diamine tetraacetic acid

References

  1. Fatoki, J.O.; Badmus, J.A. Arsenic as an environmental and human health antagonist: A review of its toxicity and disease initiation. J. Hazard. Mater. Adv. 2022, 5, 100052. [Google Scholar] [CrossRef]
  2. Bari, A.S.M.F.; Lamb, D.; MacFarlane, G.R.; Rahman, M.M. Soil washing of arsenic from mixed contaminated abandoned mine soils and fate of arsenic after washing. Chemosphere 2022, 296, 134053. [Google Scholar] [CrossRef]
  3. Nguyen, K.T.; Ahmed, M.B.; Mojiri, A.; Huang, Y.; Zhou, J.L.; Li, D. Advances in As contamination and adsorption in soil for effective management. J. Environ. Manag. 2021, 296, 113274. [Google Scholar] [CrossRef] [PubMed]
  4. Liu, G.; Song, Y.; Li, C.; Liu, R.; Chen, Y.; Yu, L.; Huang, Q.; Zhu, D.; Lu, C.; Yu, X.; et al. Arsenic compounds: The wide application and mechanisms applied in acute promyelocytic leukemia and carcinogenic toxicology. Eur. J. Med. Chem. 2021, 221, 113519. [Google Scholar] [CrossRef] [PubMed]
  5. Adhikari, K.; Hartemink, A.E. Linking soils to ecosystem services—A global review. Geoderma 2016, 262, 101–111. [Google Scholar] [CrossRef]
  6. Jho, E.H.; Im, J.; Yang, K.; Kim, Y.-J.; Nam, K. Changes in soil toxicity by phosphate-aided soil washing: Effect of soil characteristics, chemical forms of arsenic, and cations in washing solutions. Chemosphere 2015, 119, 1399–1405. [Google Scholar] [CrossRef]
  7. Zhou, Y.; Niu, L.; Liu, K.; Yin, S.; Liu, W. Arsenic in agricultural soils across China: Distribution pattern, accumulation trend, influencing factors, and risk assessment. Sci. Total Environ. 2018, 616–617, 156–163. [Google Scholar] [CrossRef] [PubMed]
  8. Von Lindern Ian, H.; Hanrahan, D.; von Braun, M. Remediation of Legacy Arsenic Mining Areas in Yunnan Province, China. J. Health Pollut. 2011, 1, 26–35. [Google Scholar] [CrossRef]
  9. Mine, H.R. Comprehensive utilization for turning waste into treasure–Manufacturing sulfuric acid using tail gas from arsenic refining in realgar mines. Chem. Min. Technol. 1972, 5, 39–41. (In Chinese) [Google Scholar] [CrossRef]
  10. Du, Y.; Du, Y.; Ma, W.; Zhao, X.; Ma, M.; Cao, L.; Du, D. Application of dirty-acid wastewater treatment technology in non-ferrous metal smelting industry: Retrospect and prospect. J. Environ. Manag. 2024, 352, 120050. [Google Scholar] [CrossRef]
  11. Zhuang, F.; Huang, J.; Li, H.; Peng, X.; Xia, L.; Zhou, L.; Zhang, T.; Liu, Z.; He, Q.; Luo, F.; et al. Biogeochemical behavior and pollution control of arsenic in mining areas: A review. Front. Microbiol. 2023, 14, 1043024. [Google Scholar] [CrossRef] [PubMed]
  12. Liu, J.; Zhao, L.; Liu, Q.; Li, J.; Qiao, Z.; Sun, P.; Yang, Y. A critical review on soil washing during soil remediation for heavy metals and organic pollutants. Int. J. Environ. Sci. Technol. 2022, 19, 601–624. [Google Scholar] [CrossRef]
  13. Liao, X.; Li, Y.; Miranda Avilés, R.; Zha, X.; Anguiano, J.H.H.; Moncada Sánchez, C.D.; Puy Alquiza, M.J.; González, V.P.; Garzon, L.F.R. In situ remediation and ex situ treatment practices of arsenic-contaminated soil: An overview on recent advances. J. Hazard. Mater. Adv. 2022, 8, 100157. [Google Scholar] [CrossRef]
  14. Li, J.; Chen, L.; Zhan, B.; Wang, L.; Poon, C.S.; Tsang, D.C.W. Sustainable stabilization/solidification of arsenic-containing soil by blast slag and cement blends. Chemosphere 2021, 271, 129868. [Google Scholar] [CrossRef]
  15. Quan, H.; Yu, H.; Yang, X.; Lv, D.; Zhu, X.; Li, Y. Long-Term Stabilization/Solidification of Arsenic-Contaminated Sludge by a Blast Furnace Slag-Based Cementitious Material: Functions of CaO and NaCl. ACS Omega 2022, 7, 32631–32639. [Google Scholar] [CrossRef]
  16. Wu, C.; Chen, Y.; Qian, Z.; Chen, H.; Li, W.; Li, Q.; Xue, S. The effect of extracellular polymeric substances (EPS) of iron-oxidizing bacteria (Ochrobactrum EEELCW01) on mineral transformation and arsenic (As) fate. J. Environ. Sci. 2023, 130, 187–196. [Google Scholar] [CrossRef]
  17. Xue, Y.; Li, Y.; Li, X.; Zheng, J.; Hua, D.; Jiang, C.; Yu, B. Arsenic bioremediation in mining wastewater by controllable genetically modified bacteria with biochar. Environ. Technol. Innov. 2024, 33, 103514. [Google Scholar] [CrossRef]
  18. Leštan, D.; Luo, C.; Li, X. The use of chelating agents in the remediation of metal-contaminated soils: A review. Environ. Pollut. 2008, 153, 3–13. [Google Scholar] [CrossRef]
  19. Kyllönen, H.; Pirkonen, P.; Hintikka, V.; Parvinen, P.; Grönroos, A.; Sekki, H. Ultrasonically aided mineral processing technique for remediation of soil contaminated by heavy metals. Ultrason. Sonochemistry 2004, 11, 211–216. [Google Scholar] [CrossRef]
  20. Rikers, R.A.; Rem, P.; Dalmijn, W.L. Improved method for prediction of heavy metal recoveries from soil using high intensity magnetic separation (HIMS). Int. J. Miner. Process. 1998, 54, 165–182. [Google Scholar] [CrossRef]
  21. Isosaari, P.; Sillanpää, M. Effects of oxalate and phosphate on electrokinetic removal of arsenic from mine tailings. Sep. Purif. Technol. 2012, 86, 26–34. [Google Scholar] [CrossRef]
  22. Virkutyte, J.; Sillanpää, M.; Latostenmaa, P. Electrokinetic soil remediation—Critical overview. Sci. Total Environ. 2002, 289, 97–121. [Google Scholar] [CrossRef] [PubMed]
  23. Mulligan, C.N.; Yong, R.N.; Gibbs, B.F. An evaluation of technologies for the heavy metal remediation of dredged sediments. J. Hazard. Mater. 2001, 85, 145–163. [Google Scholar] [CrossRef] [PubMed]
  24. Shen, Z.; Jin, F.; O’Connor, D.; Hou, D. Solidification/Stabilization for Soil Remediation: An Old Technology with New Vitality. Environ. Sci. Technol. 2019, 53, 11615–11617. [Google Scholar] [CrossRef]
  25. Dermont, G.; Bergeron, M.; Mercier, G.; Richer-Laflèche, M. Soil washing for metal removal: A review of physical/chemical technologies and field applications. J. Hazard. Mater. 2008, 152, 1–31. [Google Scholar] [CrossRef]
  26. He, J.; Lin, Q.; Luo, Y.; Liu, Y.; Fan, X.; Zheng, J.; Xu, K.; Ma, Y. Removal of arsenic from contaminated soils by combining tartaric acid with dithionite: An efficient composite washing agent. J. Environ. Chem. Eng. 2023, 11, 109877. [Google Scholar] [CrossRef]
  27. Wei, M.; Chen, J.; Wang, X. Removal of arsenic and cadmium with sequential soil washing techniques using Na2EDTA, oxalic and phosphoric acid: Optimization conditions, removal effectiveness and ecological risks. Chemosphere 2016, 156, 252–261. [Google Scholar] [CrossRef]
  28. Arwidsson, Z.; Elgh-Dalgren, K.; von Kronhelm, T.; Sjöberg, R.; Allard, B.; van Hees, P. Remediation of heavy metal contaminated soil washing residues with amino polycarboxylic acids. J. Hazard. Mater. 2010, 173, 697–704. [Google Scholar] [CrossRef]
  29. Gong, Y.; Zhao, D.; Wang, Q. An overview of field-scale studies on remediation of soil contaminated with heavy metals and metalloids: Technical progress over the last decade. Water Res. 2018, 147, 440–460. [Google Scholar] [CrossRef]
  30. Wang, Y.; Ma, F.; Zhang, Q.; Peng, C.; Wu, B.; Li, F.; Gu, Q. An evaluation of different soil washing solutions for remediating arsenic-contaminated soils. Chemosphere 2017, 173, 368–372. [Google Scholar] [CrossRef]
  31. Cho, J.H.; Eom, Y.; Lee, T.G. Pilot-test of the calcium sodium phosphate (CNP) process for the stabilization/solidification of various mercury-contaminated wastes. Chemosphere 2014, 117, 374–381. [Google Scholar] [CrossRef]
  32. Mann, M.J. Full-scale and pilot-scale soil washing. J. Hazard. Mater. 1999, 66, 119–136. [Google Scholar] [CrossRef] [PubMed]
  33. Baloyi, J.N. Spectral Interferences in ICP-OES; The Southern African Institute of Mining and Metallurgy: Johannesburg, South Africa, 2014. [Google Scholar]
  34. Kim, E.J.; Yoo, J.C.; Baek, K. Arsenic speciation and bioaccessibility in arsenic-contaminated soils: Sequential extraction and mineralogical investigation. Environ. Pollut. 2014, 186, 29–35. [Google Scholar] [CrossRef]
  35. Neina, D. The Role of Soil pH in Plant Nutrition and Soil Remediation. Appl. Environ. Soil Sci. 2019, 2019, 5794869. [Google Scholar] [CrossRef]
  36. Zhu, Y.; Zhang, X.H.; Xie, Q.L. Dependence of arsenate solubility and stability on pH value. Environ. Chem. 2003, 22, 478–484. [Google Scholar]
  37. Lee, S.-Z.; Chang, L.; Yang, H.-H.; Chen, C.-M.; Liu, M.-C. Adsorption characteristics of lead onto soils. J. Hazard. Mater. 1998, 63, 37–49. [Google Scholar] [CrossRef]
  38. Tokunaga, S.; Hakuta, T. Acid washing and stabilization of an artificial arsenic-contaminated soil. Chemosphere 2002, 46, 31–38. [Google Scholar] [CrossRef]
  39. Lee, J.-C.; Kim, E.J.; Kim, H.-W.; Baek, K. Oxalate-based remediation of arsenic bound to amorphous Fe and Al hydrous oxides in soil. Geoderma 2016, 270, 76–82. [Google Scholar] [CrossRef]
  40. Voglar, D.; Lestan, D. Pilot-scale washing of metal contaminated garden soil using EDTA. J. Hazard. Mater. 2012, 215–216, 32–39. [Google Scholar] [CrossRef]
  41. Voglar, D.; Lestan, D. Pilot-scale washing of Pb, Zn and Cd contaminated soil using EDTA and process water recycling. Chemosphere 2013, 91, 76–82. [Google Scholar] [CrossRef]
Figure 1. Flowchart of the H2SO4-based soil washing process ((a) hopper, (b) screening machine, (c) sand washer, (d) the first washing machine, (e) dosing tank (f) high-efficiency settling tank, (g) the second washing machine, (h) settling tank, (i) belt filter press, (j) buffer tank, (k) aeration tank, (l) plate-and-frame filter press, (m) water tank).
Figure 1. Flowchart of the H2SO4-based soil washing process ((a) hopper, (b) screening machine, (c) sand washer, (d) the first washing machine, (e) dosing tank (f) high-efficiency settling tank, (g) the second washing machine, (h) settling tank, (i) belt filter press, (j) buffer tank, (k) aeration tank, (l) plate-and-frame filter press, (m) water tank).
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Figure 2. Effect of (A) washing time (0.4% H2SO4 solution with 5:1 water/soil), (B) water/soil (0.4% H2SO4 solution with 60 min washing time), and (C) H2SO4 concentration (60 min washing time with 5:1 water/soil) on As concentration in first washing machine and As content in soil from belt filter press (i).
Figure 2. Effect of (A) washing time (0.4% H2SO4 solution with 5:1 water/soil), (B) water/soil (0.4% H2SO4 solution with 60 min washing time), and (C) H2SO4 concentration (60 min washing time with 5:1 water/soil) on As concentration in first washing machine and As content in soil from belt filter press (i).
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Figure 3. As concentration and pH in every batch washing solution from the first washing machine with H2SO4 solution from the previous batch (75% V/V) and with fresh H2SO4 solution (25% V/V).
Figure 3. As concentration and pH in every batch washing solution from the first washing machine with H2SO4 solution from the previous batch (75% V/V) and with fresh H2SO4 solution (25% V/V).
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Figure 4. The changes in As concentration in aeration tank (Step 4) during wastewater treatment using different dosages of FeSO4 (0.5 kg FeSO4/10 m3 means adding 0.5 kg FeSO4 into 10 m3 wastewater).
Figure 4. The changes in As concentration in aeration tank (Step 4) during wastewater treatment using different dosages of FeSO4 (0.5 kg FeSO4/10 m3 means adding 0.5 kg FeSO4 into 10 m3 wastewater).
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Table 1. Characteristics of soil samples collected from the contaminated plant site in Yunnan, China.
Table 1. Characteristics of soil samples collected from the contaminated plant site in Yunnan, China.
ParametersAs-Contaminated Soil
Land use
Organic matter (%)
Plant–soil < 0.1
CEC (cmol/kg)1.6
pH7.70
Soil textureSand
Sand (%)98.2
Silt (%)1.4
Clay (%)0.4
As (mg kg−1)165.1
Ca (mg kg−1)5.4 × 105
Fe (mg kg−1)6.8 × 103
Table 2. As sequential extraction of soil samples collected from the contaminated plant site.
Table 2. As sequential extraction of soil samples collected from the contaminated plant site.
As Sequential ExtractionAs Content in Soil (mg·kg−1)Percent of ①~④Σ (%)
① soluble fraction143.274.0
② adsorbed fraction36.318.8
③ carbonate-bound fraction7.33.8
④ residual fraction6.63.4
①~④Σ193.5100.0
Total As165.0
Table 3. Material and energy costs of the soil remediation process for one ton of soil (five soil batches); solid waste generated and cost of its disposal.
Table 3. Material and energy costs of the soil remediation process for one ton of soil (five soil batches); solid waste generated and cost of its disposal.
ConsumablesConsumption/Generation Per ton of SoilUnit CostCosts Per Ton of Soil
Energy
Apparatus245 KW h0.9 CNY KW h−1220.5 CNY
Materials
H2SO410 L14 CNY L−1 a140 CNY
Water1000 L4.4 CNY m−34.4 CNY
Lime2.5 kg1 CNY kg−1 a2.5 CNY
FeSO41.5 kg0.4 CNY kg−1 a0.6 CNY
PAM0.5 kg3.6 CNY kg−1 a1.8 CNY
Wastes
Solid waste30 kg1.8 CNY kg−154 CNY
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MDPI and ACS Style

Wang, D.; Xu, H.; Cao, Y.; Zhang, W.; Gao, A.; Liu, Y.; Bao, H.; Dong, G.; Mao, D.; Tan, Y. Pilot Test of Soil Washing for Arsenic-Contaminated H2SO4 Plant Soil Using Discarded H2SO4. Processes 2025, 13, 2171. https://doi.org/10.3390/pr13072171

AMA Style

Wang D, Xu H, Cao Y, Zhang W, Gao A, Liu Y, Bao H, Dong G, Mao D, Tan Y. Pilot Test of Soil Washing for Arsenic-Contaminated H2SO4 Plant Soil Using Discarded H2SO4. Processes. 2025; 13(7):2171. https://doi.org/10.3390/pr13072171

Chicago/Turabian Style

Wang, Di, Hongbin Xu, Ying Cao, Wei Zhang, Aihua Gao, Yingxu Liu, Haihua Bao, Guangrui Dong, Di Mao, and Yunfei Tan. 2025. "Pilot Test of Soil Washing for Arsenic-Contaminated H2SO4 Plant Soil Using Discarded H2SO4" Processes 13, no. 7: 2171. https://doi.org/10.3390/pr13072171

APA Style

Wang, D., Xu, H., Cao, Y., Zhang, W., Gao, A., Liu, Y., Bao, H., Dong, G., Mao, D., & Tan, Y. (2025). Pilot Test of Soil Washing for Arsenic-Contaminated H2SO4 Plant Soil Using Discarded H2SO4. Processes, 13(7), 2171. https://doi.org/10.3390/pr13072171

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