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Solid–Solution Dynamics of Arsenic and Phosphorus in Paddy Soil: A Theoro-Analytical Approach

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Mendeley Data2026-04-18 收录
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This dataset supports the research article titled “Solid–Solution Dynamics of Arsenic and Phosphorus in Paddy Soil: A Theoro-analytical Approach.” The study tests the hypothesis that arsenic and phosphorus in arsenic-impacted paddy soils exhibit distinct solid–solution partitioning governed by specific geochemical mechanisms. Using a combination of sequential extraction, in-situ porewater analysis, and geochemical equilibrium modeling, we investigate the dominant phases and chemical conditions influencing their mobility. The dataset comprises: • Sequential extraction data for arsenic and phosphorus (Table F1), • Geochemical properties of soil solution as model input (Table 1), • Speciation information of the studied elements in the soil solution (Table 2), • Saturation indices of prospective secondary minerals (Table F2), • Solubility equations (Table F3), • Input–output mass balance of arsenic and phosphorus in the experimental field (Table S4), Notable findings include the central role of Fe-/Mn-(hydr)oxides and Ca carbonates in arsenic retention and phosphorus stability, the modeled possibility of discrete secondary mineral precipitation under field pH–Eh conditions, and the potential of Mn(II)-based soil amendments to mitigate arsenic bioavailability while preserving phosphorus availability. Data collection was performed in a field-scale experiment in the Bengal Delta Plain region of India. Sequential extraction followed standard fractionation protocols, while porewater chemistry was measured via field filtration and laboratory analyses. Thermodynamic modeling was conducted using GWB platform, calibrated with experimental inputs. These data offer valuable inputs for researchers in soil chemistry, geochemistry, and environmental remediation, enabling mechanistic modeling of trace element dynamics in flooded soils under agricultural stress.

本数据集支撑题为《水稻土中砷与磷的固溶体动力学:一种理论分析方法》的研究论文。该研究验证如下假说:受砷污染的水稻土中的砷与磷,其固溶分配行为存在显著差异,且受特定地球化学机制调控。研究结合连续提取法、原位孔隙水分析与地球化学平衡模拟,探究影响二者迁移性的主要物相及化学条件。 本数据集包含以下内容: • 砷与磷的连续提取数据(表F1), • 作为模型输入的土壤溶液地球化学属性(表1), • 研究元素在土壤溶液中的形态信息(表2), • 潜在次生矿物的饱和指数(表F2), • 溶解度方程(表F3), • 试验田中砷与磷的投入产出质量平衡数据(表S4) 主要研究发现包括:铁-锰(氢)氧化物与碳酸钙在砷固持及磷稳定性中发挥核心作用;在田间pH-Eh条件下,存在离散次生矿物沉淀的模拟可能性;基于锰(II)的土壤改良剂可在保留磷有效性的同时,降低砷的生物可利用性。 数据采集于印度孟加拉三角洲平原的田间尺度试验。连续提取法遵循标准分级方案,孔隙水化学通过现场过滤与实验室分析测得。热力学模拟采用GWB平台完成,并以实验输入数据进行校准。 本数据集可为土壤化学、地球化学及环境修复领域的研究人员提供宝贵的输入数据,助力农业胁迫下淹水土壤中微量元素动力学的机理建模。

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2025-07-22
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