| 利用紫外-可见吸收光谱估算三峡库区消落带水体、土壤和沉积物溶解性有机质(DOM)浓度 |
| 摘要点击 3858 全文点击 1602 投稿时间：2014-02-24 修订日期：2014-04-16 |
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| 中文关键词 紫外-可见光谱 三峡库区 消落带 溶解性有机质 有色溶解性有机质 |
| 英文关键词 UV-Vis spectra Three Gorges Reservoir areas water-level fluctuation zones dissolved organic matter (DOM) chromophoric dissolved organic matter (CDOM) |
| 作者 | 单位 | E-mail | | 李璐璐 | 西南大学资源环境学院, 重庆 400716 | lululee407@gmail.com | | 江韬 | 西南大学资源环境学院, 重庆 400716
重庆市农业资源与环境研究重点实验室, 重庆 400716 | Jiangtower666@163.com | | 卢松 | 西南大学资源环境学院, 重庆 400716 | | | 闫金龙 | 西南大学资源环境学院, 重庆 400716 | | | 高洁 | 西南大学资源环境学院, 重庆 400716 | | | 魏世强 | 西南大学资源环境学院, 重庆 400716
重庆市农业资源与环境研究重点实验室, 重庆 400716 | | | 王定勇 | 西南大学资源环境学院, 重庆 400716
重庆市农业资源与环境研究重点实验室, 重庆 400716 | | | 郭念 | 西南大学资源环境学院, 重庆 400716 | | | 赵铮 | 西南大学资源环境学院, 重庆 400716 | |
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| 中文摘要 |
| 溶解性有机质（DOM）是陆地和水生生态系统的重要物质，有色溶解性有机质（CDOM）是可用光谱测定的DOM组分. 基于2012年7月采集的土壤和沉积物样品以及2012年11月采集的水体样品，通过单波长、双波长、吸收光谱斜率（S值）和三波长模型建立CDOM与DOM浓度之间的关系. 结果表明，4种模型中三波长模型效果最佳，水体数据模型的决定系数为0.788，土壤数据模型的决定系数为0.933，沉积物模型的决定系数为0.856. 同时，利用2013年随机采集的32个土壤样品和36个水体样品对模型精度进行检验，结果表明，土壤DOM浓度的相对均方根误差（RRMSE）和平均相对误差（MRE）分别为16.5%和16.9%，水体分别为10.32%和9.06%，相比土壤DOM而言，三波长模型对水体DOM的预测精度更高. |
| 英文摘要 |
| Dissolved organic matter (DOM) is a very important component in terrestrial ecosystem. Chromophoric dissolved organic matter (CDOM) is a significant constituent of DOM, which can be measured by ultraviolet-visible (UV-Vis) absorption spectrum. Thus the relationship between CDOM and DOM was investigated and established by several types of models including single-wavelength model, double-wavelength model, absorption spectrum slope(S value) model and three-wavelength model, based on the UV-Vis absorption coefficients of soil and sediment samples (sampled in July of 2012) and water samples (sampled in November of 2012) respectively. The results suggested that the three-wavelength model was the best for fitting, and the determination coefficients of water, soil and sediment data were 0.788, 0.933 and 0.856, respectively. Meanwhile, the nominal best model was validated with the UV-Vis data of 32 soil samples and 36 water samples randomly collected in 2013, showing the RRMSE and MRE were 16.5% and 16.9% respectively for soil DOM samples, 10.32% and 9.06% respectively for water DOM samples, which further suggested the prediction accuracy was higher in water DOM samples as compared with that in soil DOM samples. |
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