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Related Experiment Video

Updated: Sep 26, 2025

Measuring Phosphorus Release in Laboratory Microcosms for Water Quality Assessment

Measuring Phosphorus Release in Laboratory Microcosms for Water Quality Assessment

Published on: July 22, 2019

Predicting the leachate generation from wet phosphogypsum stack using a water-balance-analysis based model.

Mingfu Meng¹, Weijun Luo², Shijie Wang²

¹State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, 550081, China; University of Chinese Academy of Sciences, Beijing, 100049, China.

Environmental Research

|April 21, 2022

Summary

This summary is machine-generated.

Accurate prediction of phosphogypsum (PG) leachate is crucial for environmental management. A new water balance model, including extruded water, accurately forecasts PG leachate production and informs optimal management strategies.

Keywords:

Consolidation Initial moisture content Karst Leachate generation PG stack

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Area of Science:

Environmental Engineering
Water Resource Management
Industrial Waste Management

Background:

Phosphogypsum (PG) stacks generate leachate requiring effective management to mitigate environmental pollution from the phosphoric acid industry.
Accurate prediction of leachate volume is essential for developing efficient leachate management strategies.

Purpose of the Study:

To establish a water balance model for predicting leachate production from wet phosphogypsum stacks.
To incorporate extruded water, linked to PG deformation, as a novel variable in leachate prediction.
To provide insights for optimizing PG leachate management and reducing environmental pollution.

Main Methods:

Development of a water balance model incorporating extruded water from PG deformation.
Model simulation to analyze leachate generation patterns over time and under different conditions.
Validation of model accuracy against measured data.
Sensitivity analysis to identify key factors influencing leachate generation.

Main Results:

Model simulations indicate initial water addition may be needed, followed by net PG discharge after four years.
Leachate generation increases gradually over time and shows significant monthly variations.
Precipitation and evaporation were identified as the most critical factors affecting leachate rates.
Seasonal variations in precipitation and evaporation lead to distinct monthly leachate generation patterns.

Conclusions:

The developed model accurately predicts phosphogypsum leachate production.
Understanding seasonal variations and key environmental factors is vital for effective leachate management.
The study provides a framework for optimizing PG stack management and minimizing environmental impact.