Methylmercury production in soil in the water-level-fluctuating zone of the Three Gorges Reservoir, China: The key role of low-molecular-weight organic acids

Yin, Deliang; Ba, Zhixin; Jiang, Tao; Qin, Cai-Qing; Xiang, Youzhen; Chen, Qiuyu; Xue, Jinping; Wang, Dingyong

doi:10.1016/j.envpol.2017.12.072

Cited by 32 publications

(2 citation statements)

References 63 publications

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“…Additionally, the MeHg degree and distribution [ 30 , 31 , 32 ] and the effects of microorganisms [ 19 ] on Hg transfer. For example, previous studies have reported that the re-vegetation and root exudates are crucial in Hg cycling [ 33 , 34 ]. Some studies have found the relationship between elemental sulfur and MeHg [ 35 , 36 ] is significant.…”

Section: Introductionmentioning

confidence: 99%

Organic Carbon Controls Mercury Distribution and Storage in the Surface Soils of the Water-Level-Fluctuation Zone in the Three Gorges Reservoir Region, China

Zhu

Yang

Chang

et al. 2023

IJERPH

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The particular condition of the water-level-fluctuation zone (WLFZ) in the Three Gorges Reservoir (TGR), the largest hydroelectric reservoir in China, raises great concerns about mercury (Hg) contamination and ecological risk. In addition, previous research found that soil organic carbon (SOC) plays an essential role in controlling Hg distribution and speciation. However, there is minimal information on the Hg storage distribution and their relationships with SOC in the WLFZ in TGR. This study investigated Hg distribution, storage, and their relationships with SOC in the surface soils in WLFZ. The results showed that the total Hg (THg) content in the surface soils ranged from 18.40 to 218.50 ng g−1, with an average value of 78.17 ± 41.92 ng g−1. About 89% of samples had THg content above the background value in Chongqing, showing specific enrichment of Hg in WLFZ due to contamination in the TGR. The surface soils have low SOC, with an average value of 8.10 ± 3.90 g kg−1. Moreover, THg content showed consistent distribution with the SOC in WLFZ, with a significantly positive correlation (R = 0.52, p < 0.01, n = 242). THg storage (201.82 ± 103.46 g ha−1) in the surface soils was also significantly positively correlated with the SOC storage (R = 0.47, p < 0.01, n = 242). The reduced SOC sequestration, due to the periodical alternative “flooding–draining” and frequent reclamation and utilization of WLFZ, decreased the Hg adsorption in soil. Those might result in the re-release of Hg into waters when WLFZ is flooded. Therefore, more attention should be directed towards Hg cycling and the consequent environmental risks in the TGR region.

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Section: Introductionmentioning

confidence: 99%

Organic Carbon Controls Mercury Distribution and Storage in the Surface Soils of the Water-Level-Fluctuation Zone in the Three Gorges Reservoir Region, China

Zhu

Yang

Chang

et al. 2023

IJERPH

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“…The riparian zone is the area where the water level of reservoirs, lakes, or rivers changes as a result of periodic water storage and discharge [1]. As a transition zone between terrestrial and aquatic ecosystems, it is essential to accurately quantify the area dynamics of a riparian zone to better understand ecosystem processes such as soil sediment production and shift [2], plant community change [3], greenhouse gas flux [4], and fish habitat migration and change [5]. Specifically, monitoring the area of riparian zones contributes to assessing the health of ecosystems [6].…”

Section: Introductionmentioning

confidence: 99%

Monitoring the Area Change in the Three Gorges Reservoir Riparian Zone Based on Genetic Algorithm Optimized Machine Learning Algorithms and Sentinel-1 Data

Xu,

Wu,

et al. 2023

Remote Sensing

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Riparian zones play a critical role in ecosystems. Accurately extracting the area of a riparian zone in open water is challenging due to human activities and climate change. This study used Sentinel-1 satellite data to investigate the capabilities of the support vector machine, extreme gradient boosting, and random forest methods, which were optimized by genetic algorithms for the detection of area changes in the riparian zone in the heart region of the Three Gorges Reservoir area of China. A total of 29 images were collected in 2020, and three models were created for each image, which were then transferred to other phases. The models’ performance metrics were validated using all of the images. The results indicated that the SVM method achieved the best performance with an accuracy of 0.945, an F1_Score of 0.950, and a kappa coefficient of 0.889. The optimal model was then used to monitor the area changes in the riparian zone over the study area in 2020. It was calculated that the area of the riparian zones was the smallest on 26 December and the largest on 17 June, with a maximum riparian zone of 31.97 km2. Overall, this study demonstrates that an SVM is the most stable method for detecting area changes in a riparian zone when using Sentinel-1 data compared to the RF and XGB methods. The findings are anticipated to provide a feasible plan for detecting the area dynamics in open-water riparian zones and to provide valuable information for the rational utilization of land resources and the ecological safety of the riparian zone in the Three Gorges Reservoir.

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Mercury–Organic Matter Interactions in Soils and Sediments: Angel or Devil?

Tian

Braaten

et al. 2019

Bull Environ Contam Toxicol

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Methylmercury production in soil in the water-level-fluctuating zone of the Three Gorges Reservoir, China: The key role of low-molecular-weight organic acids

Cited by 32 publications

References 63 publications

Organic Carbon Controls Mercury Distribution and Storage in the Surface Soils of the Water-Level-Fluctuation Zone in the Three Gorges Reservoir Region, China

Organic Carbon Controls Mercury Distribution and Storage in the Surface Soils of the Water-Level-Fluctuation Zone in the Three Gorges Reservoir Region, China

Monitoring the Area Change in the Three Gorges Reservoir Riparian Zone Based on Genetic Algorithm Optimized Machine Learning Algorithms and Sentinel-1 Data

Mercury–Organic Matter Interactions in Soils and Sediments: Angel or Devil?

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