A method for determining the distribution concentration of arsenate in soil solid and liquid phases and its application
Through the method based on the chemical balance model and surface coordination model, the old parameters and inaccurate calculations of the solid-liquid phase distribution prediction of arsenate in the soil are solved, and the accurate prediction of As(V) morphological distribution and distribution are achieved, providing a strong reference for soil risk assessment and pollution control.
CN115728469BActive Publication Date: 2025-04-22NANJING UNIV
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Patent Information
- Application Number
- CN202211511313.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-11-29
- Publication Date
- 2025-04-22
- Estimated Expiration
- 2042-11-29
AI Technical Summary
Technical Problem
The prior art has problems such as old parameters, less consideration of soil environmental factors, and inaccurate calculations when predicting the solid-liquid distribution of arsenate in soil.
Method used
The adsorption results of As(V) in the soil were calculated by using a method based on chemical equilibrium model and surface coordination model. Specific steps include soil pretreatment, batch adsorption experiment of arsenate, establishment of distribution models and calculations.
Benefits of technology
This method can effectively predict the morphological distribution of As(V) in soil and the distribution between solid and liquid phases, providing a more accurate reference for soil risk assessment and pollution control.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses a method for determining the distribution concentration of arsenate in soil solid-liquid phases, and belongs to the field of soil pollution analysis. The invention is based on a surface coordination model calculation method for the chemical equilibrium of arsenate in an aqueous solution and the distribution equilibrium in soil solid-liquid phases, performs soil pretreatment by different experimental methods, and constructs a thermodynamic equilibrium model for the adsorption and distribution of As(V) in a soil system by screening multiple groups of model architecture prediction results. At the same time, a batch adsorption test is carried out on the soil for verification, and the distribution concentration of As(V) in soil solid-liquid phases can be effectively predicted, so as to provide a reference for soil heavy metal ecological risk assessment and soil pollution control.
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