2015
DOI: 10.1016/j.gexplo.2014.12.001
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Temporal variation of groundwater level and arsenic concentration at Jianghan Plain, central China

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Cited by 113 publications
(64 citation statements)
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“…Besides, under relatively oxidizing conditions, As could be re-adsorbed onto the Fe oxyhydroxides due to their high affinity for As species (Roberts et al, 2004). Similar to the study area, many arsenic contaminated areas, such as Hetao Plain (Deng et al, 2009) and Jianghan Plain (Duan et al, 2015), experience frequent agricultural practice, which cause the depth variation of groundwater As concentration.…”
Section: Impact Of Groundwater Salinization On Arsenic Iodine and Flmentioning
confidence: 82%
“…Besides, under relatively oxidizing conditions, As could be re-adsorbed onto the Fe oxyhydroxides due to their high affinity for As species (Roberts et al, 2004). Similar to the study area, many arsenic contaminated areas, such as Hetao Plain (Deng et al, 2009) and Jianghan Plain (Duan et al, 2015), experience frequent agricultural practice, which cause the depth variation of groundwater As concentration.…”
Section: Impact Of Groundwater Salinization On Arsenic Iodine and Flmentioning
confidence: 82%
“…Arsenic concentration is high in sediments at the study site, ranging from 11 to 108 mg/kg with an average of 12.7 mg/kg (Duan et al, ; Schaefer et al, ). The highest arsenic concentration in the sediments was found in the confined aquifer at 20 m depth in well S03 (Li et al, ).…”
Section: Research Sitementioning
confidence: 96%
“…Jianghan Plain is an alluvial plain surrounded by Han River at the north and Yangtze River at the south, covering an area of >55,000 km 2 (Schaefer et al, ). The area is subtropical with an annual precipitation of 1,300 mm, of which 50% occurs in the rainy season (May to August; Duan et al, ). A field site located in the southeast of Jianghan Plain between Dongjing and Tongshun Rivers was selected for this study because of the well‐established groundwater monitoring network that can be used for developing a site‐wide model and for comparing model results with observations at monitoring wells (Figure ).…”
Section: Research Sitementioning
confidence: 99%
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