| 湘中矿区不同用地类型面源Cd输出负荷的原位实验研究 |
| 摘要点击 1409 全文点击 1066 投稿时间：2012-12-11 修订日期：2013-01-22 |
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| 中文关键词 湘中矿区 土地利用 重金属 自然降雨 面源负荷 |
| 英文关键词 central Hunan Province mining area landuse heavy metal natural rainfall non-point loads |
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| 中文摘要 |
| 受污染土壤重金属随降雨径流输出已成为河流、湖泊等水体重金属超标的主要来源之一,近年来日益受到关注. 研究表明湘江中下游农田土壤重金属超标问题日益严峻,以镉超标最为严重. 研究以湘中矿区Cd超标农业小流域为实验场,选取流域内水稻、旱田、荒草地这3类土地利用模式设置径流小区进行自然降雨水文过程的原位观测. 结果表明,雨水pH值由春季到夏季呈升高趋势,径流水相溶解态Cd浓度呈明显的季节性差异,春季显著高于夏季,雨水pH值可显著影响土壤溶解态Cd向径流水相迁移,与径流水相溶解态Cd浓度呈负相关关系. 相同降雨条件下,稻田径流水相溶解态Cd浓度显著低于旱田和荒草地,旱田与荒草地Cd面源输出负荷显著高于水稻田,由于降雨量差异,3类土地利用类型溶解态Cd面源输出负荷的季节性规律不明显. 本研究可为流域尺度重金属面源输出负荷定量估算以及湘江流域水环境安全与水质预警提供数据支持和科学依据. |
| 英文摘要 |
| Non-point source loads of heavy metals from contaminated soil has increasingly become the major cause of heavy metal concentrations of rivers and lakes surpassed the limitation value, while only few studies had focused on quantitative monitoring of soil heavy metal transportation to water, in situ field conditions. As reported, agricultural farmland heavy metal contamination was the major contamination problem, especially for cadmium (Cd) pollution in middle and downstream of Xiangjiang River. This study selected the typical Cd polluted agricultural watershed for a case study, three typical landuse types of rice, dry farmland and unused grassland with three replicate quadrates were carried out for natural rainfall runoff hydrology processes monitoring, from 2011-2012. Results showed that, precipitation pH value increased from spring to summer, soluble Cd concentration of spring runoff was significantly higher than that of summer rainfall runoff, which presented an obviously seasonal heterogeneity and had a negative correlation with rainfall pH value, and rainfall pH value can obviously impact soil soluble Cd transportation into surface runoff charge. In the same rainfall event, soluble Cd concentration and non-point load of rice were significantly lower than those of dry land and unused grassland, while no obviously seasonal trend was found for non-point load of Cd from three typical landuse types because of the rainfall depth variance, which needs more researches and concerns in the future. These results can provide valuable data and scientific supports for watershed scale's heavy metal non-point source load quantitative estimation and water environment management and water quality diagnosis and early warning. |
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