The migration process and temperature effect of aqueous solutions contaminated by heavy metal ions in unsaturated silty soils

Bai, Bing; Bai, Fan; Hou, Jianpeng

doi:10.1016/j.heliyon.2024.e30458

Cited by 18 publications

(2 citation statements)

References 38 publications

(37 reference statements)

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“…Clean soil is critical for a variety of reasons, including serving as the foundation for a healthy and sustainable environment 58 . Soil is an important substrate for plant growth because it provides needed nutrients and supports agriculture, which is critical for food supply 59 . In addition, healthy soil prevents precipitation and runoff from compromising clean water sources and ensures food security.…”

Section: Utilization Of Designed Aggregation Operators In Madm Frameworkmentioning

confidence: 99%

Optimizing bioremediation techniques for soil decontamination in a linguistic intuitionistic fuzzy framework

Alolaiyan,

Hayat,

Shuaib

et al. 2024

Sci Rep

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Bioremediation techniques, which harness the metabolic activities of microorganisms, offer sustainable and environmentally friendly approaches to contaminated soil remediation. These methods involve the introduction of specialized microbial consortiums to facilitate the degradation of pollutants, contribute to soil restoration, and mitigate environmental hazards. When selecting the most effective bioremediation technique for soil decontamination, precise and dependable decision-making methods are critical. This research endeavors to tackle the aforementioned concern by utilizing the tool of aggregation operators in the framework of the Linguistic Intuitionistic Fuzzy (LIF) environment. Linguistic Intuitionistic Fuzzy Sets (LIFSs) provide a robust framework for representing and managing uncertainties associated with linguistic expressions and intuitionistic assessments. Aggregation operators enrich the decision-making process by efficiently handling the intrinsic uncertainties, preferences, and priorities of MADM problems; as a consequence, the decisions produced are more reliable and precise. In this research, we utilize this concept to devise innovative aggregation operators, namely the linguistic intuitionistic fuzzy Dombi weighted averaging operator (LIFDWA) and the linguistic intuitionistic fuzzy Dombi weighted geometric operator (LIFDWG). We also demonstrate the critical structural properties of these operators. Additionally, we formulate novel score and accuracy functions for multiple attribute decision-making (MADM) problems within LIF knowledge. Furthermore, we develop an algorithm to confront the complexities associated with ambiguous data in solving decision-making problems in the LIF Dombi aggregation environment. To underscore the efficacy and superiority of our proposed methodologies, we adeptly apply these techniques to address the MADM problem concerning the optimal selection of a bioremediation technique for soil decontamination. Moreover, we present a comparative evaluation to delineate the authenticity and practical applicability of the recently introduced approaches relative to previously formulated techniques.

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Section: Utilization Of Designed Aggregation Operators In Madm Frameworkmentioning

confidence: 99%

Optimizing bioremediation techniques for soil decontamination in a linguistic intuitionistic fuzzy framework

Alolaiyan,

Hayat,

Shuaib

et al. 2024

Sci Rep

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“… 15 Understanding the side effects of HMs on plants for developing efficient approaches is very important to mitigate their consequences on the environment and human health. 16 , 17 More research along with detailed insights is required on HMs and Pb-based toxicity in plants. Figure 1a shows the adverse effects of HMs on plants, while Figure 1b shows phytotoxicity in plants due to the HM stress.…”

Section: Introductionmentioning

confidence: 99%

Lead toxicity in plants: mechanistic insights into toxicity, physiological responses of plants and mitigation strategies

Gupta,

Dwivedi,

Kumar

et al. 2024

Plant Signaling & Behavior

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Polyvinyl Alcohol‐Conjugated L‐Cysteine: A Novel Metal Pincer for Efficient Heavy Metal Ions Removal from Wastewater

Mahmoud,

Atia,

Abdalla

2024

ChemistrySelect

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A facilely prepared composite based on Polyvinyl alcohol anchored‐ L‐cysteine (PVA‐L‐CYS) demonstrated efficient functionality in the elimination of heavy metals (Hg, Cr, Pb, and Cd) from working wastewater. The synthesis of the composite was validated through a comprehensive characterization utilizing various analytical techniques to ensure the composite‘s structural, chemical, and physical properties. At ambient temperature, pH of 4–5.5, interaction time of 15–20 minutes, and concentration of 200 mg/L metal ions, the composite exhibited a maximum retention capacity of 48.5, 25, 45.25, and 44.25 mg/g for Hg, Cr, Pb, and Cd, respectively. Langmuir modeling was establish to be more fitting to the practical results than Freundlich, providing theoretical values of 49.02, 25.97, 46.08, and 44.84 mg/g for Hg, Cr, Pb, and Cd, respectively. The kinetics of PVA‐L‐CYS composite was accurately predicted by model of the pseudo‐first‐order kinetic. Thermodynamic prospects indicated a spontaneous, exothermic, and favorable uptake process at low temperatures. Efficient elution of the heavy metal ions from the overloaded composite was performed using 1 M HNO3. In accordance with WHO and FAO guidelines, the successful elimination of working metal ions from wastewater utilizing the PVA‐L‐CYS composite was demonstrated in a single cycle before discharge into the marine environment.

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The migration process and temperature effect of aqueous solutions contaminated by heavy metal ions in unsaturated silty soils

Cited by 18 publications

References 38 publications

Optimizing bioremediation techniques for soil decontamination in a linguistic intuitionistic fuzzy framework

Optimizing bioremediation techniques for soil decontamination in a linguistic intuitionistic fuzzy framework

Lead toxicity in plants: mechanistic insights into toxicity, physiological responses of plants and mitigation strategies

Polyvinyl Alcohol‐Conjugated L‐Cysteine: A Novel Metal Pincer for Efficient Heavy Metal Ions Removal from Wastewater

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