The Mercury Behavior and Contamination in Soil Profiles in Mun River Basin, Northeast Thailand

Qu, Rui; Han, Guilin; Li, Xiaoqiang

doi:10.3390/ijerph16214131

Cited by 25 publications

(14 citation statements)

References 42 publications

(52 reference statements)

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“…The relationships between K factor and the soil properties that mainly affected it were determined by line regression analysis. Coefficient R 2 and P-value were used to show the fitting degree of the best-fit regression line [40]. Statistical analyses, including PCA and line regression analysis, were performed using SPSS 18.0 (SPSS Inc., Chicago, IL, USA).…”

Section: Discussionmentioning

confidence: 99%

Effects of Soil Properties on K Factor in the Granite and Limestone Regions of China

Liu

Zhang

et al. 2020

IJERPH

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Soil erosion has become a serious ecological problem in many catchments. Soil erodibility K factor can be estimated based on a series of soil properties, however, the identification of dominant soil properties that affect K factor prediction at different soil types has been little concerned. In this study, 3 soil profiles from the Jiulongjiang River Catchment (JRC) of granite region in Fujian province and 18 soil profiles from the Chenqi Catchment (CC) of karst region in Guizhou province were selected. Soil properties, including soil particle size distribution, soil organic carbon (SOC) and soil organic nitrogen (SON) content, and soil pH, were determined, and the K factors were estimated in the erosion productivity impact calculator (EPIC) model. The soils in the granite region were characteristic for coarse texture, low SOC and SON, and strong acidity compared with limestone soils. Although the K factors in both regions ranged from 0.009 to 0.018, they were overestimated in limestone soils due to frequent soil aggregation, which enhanced soil permeability, hence reduced soil erodibility. The results of principal component analysis (PCA) and structural equation model (SEM) showed that (1) K factor estimation in the soils of the granite region mainly depended on soil texture, of which silt was the most important factor; (2) while K factor in limestone soils was mainly controlled by soil organic matter (SOM) content, other soil properties, including soil pH, clay and silt contents, could indirectly affect prediction of K factor by affecting SOM accumulation.

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Section: Discussionmentioning

confidence: 99%

Effects of Soil Properties on K Factor in the Granite and Limestone Regions of China

Liu

Zhang

et al. 2020

IJERPH

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“…The method for soil sample collection is described in detail in a previous study. [22] In order to compare Hg behavior under different land-use conditions, the SOC, pH value, iron content, and soil texture were analyzed. Prior to the analyses, the stones and plant debris were removed from the soil samples.…”

Section: Sample Collection and Analytical Methodsmentioning

confidence: 99%

Vertical Distribution and Contamination of Soil Mercury in Karst Catchment, Southwest China: Land‐Use Type Influence

Han

Zhang

2021

CLEAN Soil Air Water

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The policy-driven "Grain for Green Programme" (GGP) has resulted in large-scale land conversion from agricultural land to natural land in the karst area. One research surrounding the GGP is focused on evaluating its ecological implications for total mercury (THg) enrichment in Yinjiang County, Guizhou Province, Southwest China. Results show that 1) THg content in agricultural land (201.85 ± 57.23 µg kg −1 ) is lower compared to the forest (1048.62 ± 306.19 µg kg −1 ) and shrub (2582.60 ± 614.76 µg kg −1 ). 2) The THg content shows a good correlation with Fe (agricultural land: R = 0.75, p < 0.01; shrub: R = 0.88, p < 0.01), pH (shrub: R = 0.87, p < 0.01), and sand proportion (forest: R = −0.65, p < 0.01), rather than soil organic carbon (SOC). In the shrub, the increased pH and iron (Fe) content correspond to THg content between 1804 and 3743 µg kg −1 ; below the depth of 80 cm of the forest soil, the increased sand proportion correlates to THg content between 1223 and 748 µg kg −1 . 3) The risk index of the THg exceeds 320 in the soil and imposes a very high ecological risk to this area.

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“…The total mercury (THg) content was analyzed using an RA-915M mercury analyzer (Lumex Instrument, St.Petersburg, Russia) with a solid module. The accuracy and precision of the mercury analyzer were successfully tested by a previous study [29]. The advantages of using this method to determine the mercury content are speed and its low cost compared to other methods, such as atomic fluorescence spectrometry and inductively coupled plasma optical emission spectrometry (ICP-OES).…”

Section: Sampling Collection and Analysis Methodsmentioning

confidence: 99%

Fe, Rather Than Soil Organic Matter, as a Controlling Factor of Hg Distribution in Subsurface Forest Soil in an Iron Mining Area

Han

Yang

et al. 2020

IJERPH

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To identify whether the iron (Fe) mining area in the Jiulongjiang River basin (JRB) has an influence on the mercury in the forest soil, the spatial distribution patterns of mercury’s behavior on different controlling factors were analyzed, and a potential ecological risk assessment was done. A total of 107 soil samples were collected from two forest soil profiles, one profile near the Fe mining area and the other far from it. The soil near the mining area had a moderate potential ecological risk with high Fe content rich in the upper layer of soil (<70 cm), whereas soil collected far from the mining area had a low potential ecological risk. These results indicated that the rise of iron content in the soil near the mining area was beneficial to the enrichment of mercury, probably causing damage to the forest ecosystem. Both soil organic carbon (SOC) and Fe content have strong positive correlations with THg content, controlling the mercury behavior in the upper layer (<70 cm) and a lower layer (>70 cm) of soil, respectively. The high Fe content in the upper layer of soil will compete for the adsorption of mercury by SOC, leading to the poor correlation between SOC and THg.

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The Mercury Behavior and Contamination in Soil Profiles in Mun River Basin, Northeast Thailand

Cited by 25 publications

References 42 publications

Effects of Soil Properties on K Factor in the Granite and Limestone Regions of China

Effects of Soil Properties on K Factor in the Granite and Limestone Regions of China

Vertical Distribution and Contamination of Soil Mercury in Karst Catchment, Southwest China: Land‐Use Type Influence

Fe, Rather Than Soil Organic Matter, as a Controlling Factor of Hg Distribution in Subsurface Forest Soil in an Iron Mining Area

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