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机构地区:[1]西南大学地理科学学院,重庆400715 [2]西南大学岩溶环境开放实验室,重庆400715
出 处:《环境科学》2016年第5期1788-1797,共10页Environmental Science
基 金:国家自然科学基金项目(41472321;41172311)
摘 要:2014年8月至2015年9月通过野外在线监测获取岩溶流域连续、高精度的气象、地下水TOC和水文地球化学等数据,利用主成分回归模型探讨流域地下水TOC在不同时间尺度上的输出及影响因素.结果表明在季节时间尺度上,气温和地下水电导率(Sp C)夏季高,冬季低,p H则相反;TOC和浊度冬、夏季高,春、秋季低;地下水TOC和水文地球化学指标对降雨表现出明显的响应过程,但地下水TOC对不同降雨强度的响应时间和过程有明显差异,整体来说,TOC在降雨过程中表现出上升的趋势,而暴雨过后受稀释效应影响呈现下降趋势.主成分回归分析发现降雨、流量和浊度对TOC有正向促进作用,而气温和p H对TOC有负向的影响.High time-resolution auto-monitoring techniques were used to obtain the data for TOC and hydrogeochemistry of groundwater,and air temperature and precipitation from August 2014 to September 2015 in Xueyu Cave karst watershed,Southwest China,and then the principal component regression model was used to reveal the variation of TOC in groundwater and its influencing factors. The results indicated that there were significant variations of the TOC and hydrogeochemistry of groundwater in seasonal timescale. The temperature and specific conductance( Sp C) of groundwater showed higher values in summer and lower values in winter; while an opposite variation pattern for p H in groundwater was observed,and the TOC and turbidity of groundwater showed higher values in winter and summer seasons and lower values in spring and autumn seasons. Meanwhile,high time-resolution data revealed that the TOC of groundwater responded quickly to rainfall events with different intensities. Generally,an increasing trend for TOC in groundwater was observed during raining and a decreasing trend for TOC in groundwater was shown after rainfall events,especially after storm events due to the dilution effect of rainfall. The export and variations of the TOC in groundwater were mainly controlled by the precipitation and discharge of underground river in the study area,as revealed by the principal component regression model. The TOC increased with the increase of the precipitation,discharge and turbidity of groundwater,and declined with the increase of air temperature and p H of groundwater.
关 键 词:总有机碳 岩溶流域 时间尺度 降雨事件 主成分回归模型
分 类 号:X142[环境科学与工程—环境科学]
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