High Arsenic Risk Distribution Prediction of Groundwater in the Hetao Basin by Random Forest Modeling

FU Yu; CAO Wen-geng; ZHANG Juan-juan

doi:10.15898/j.cnki.11-2131/td.202108170099

2021 Vol. 40, No. 6

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Article navigation > Rock and Mineral Analysis > 2021 > 40(6): 860-870

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FU Yu, CAO Wen-geng, ZHANG Juan-juan. High Arsenic Risk Distribution Prediction of Groundwater in the Hetao Basin by Random Forest Modeling[J]. Rock and Mineral Analysis, 2021, 40(6): 860-870. doi: 10.15898/j.cnki.11-2131/td.202108170099

Citation:

FU Yu, CAO Wen-geng, ZHANG Juan-juan. High Arsenic Risk Distribution Prediction of Groundwater in the Hetao Basin by Random Forest Modeling[J]. Rock and Mineral Analysis, 2021, 40(6): 860-870. doi: 10.15898/j.cnki.11-2131/td.202108170099

High Arsenic Risk Distribution Prediction of Groundwater in the Hetao Basin by Random Forest Modeling

1.
North China University of Water Resources and Electric Power, Zhengzhou 450046, China
2.
Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, Shijiazhuang 050061, China
3.
The 6th Geological Team, Hebei Bureau of Geology and Mineral Resources, Shijiazhuang 050085, China

More Information

Corresponding author: CAO Wen-geng, 281084632@qq.com

Received Date: 17 August 2021

Revised Date: 08 September 2021

Accepted Date: 21 September 2021

Publish Date: 28 November 2021

Abstract

Abstract

BACKGROUND
Arsenic pollution is a serious problem in shallow groundwater in the Hetao Basin, and has seriously affected the health of residents. The research on the distribution of high arsenic shallow groundwater in the Hetao Basin is limited by the sampling time and sample number.
OBJECTIVES
To obtain a comprehensive understanding of the risk distribution characteristics and important influencing factors of high arsenic groundwater in different seasons in the region.
METHODS
Based on 506 shallow groundwater samples and 9 surface environmental parameters as prediction variables, a random forest model was established to evaluate the importance of prediction variables and the impact of important variables on high arsenic groundwater. Taking the climate factors as the dynamic prediction variables, the probability distribution of high arsenic groundwater in different seasons was identified and thematic maps of risk areas were made.
RESULTS
The results showed that the arsenic content of 506 groundwater samples ranged from 0.05 to 916.7μg/L with an overshoot rate (>10μg/L) of 50%. Groundwater arsenic risk areas were mainly distributed in the depositional center of the Hetao Basin, but the area of groundwater arsenic risk areas decreased by 1907km² in winter, accounting for 14.14% of the total area. Precipitation and drought index, influence of drainage and irrigation channels, potential evapotranspiration and temperature were the most important indexes affecting the high arsenic groundwater in this area.
CONCLUSIONS
In the Hetao Basin, climate variables (precipitation and drought index) are significantly correlated with arsenic accumulation in the aquifer, which controls the seasonal variation of groundwater with high arsenic content in the depositional center of the Hetao Basin.
- groundwater /
- arsenic pollution /
- Hetao Basin /
- random forest /
- seasonal variation /
- risk distribution

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References

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