École supérieure d'aménagement du territoire et développement régional, Université Laval, 1624 Pavillon F.A. Savard, Université Laval, Québec, Qc, Canada.
School of Engineering, University of British-Columbia - Okanagan, Canada.
Sci Total Environ. 2014 Aug 15;490:947-56. doi: 10.1016/j.scitotenv.2014.05.091. Epub 2014 Jun 7.
Dissolved organic carbon (DOC) is a recognized indicator of natural organic matter (NOM) in surface waters. The aim of this paper is twofold: to evaluate the impact of geophysical characteristics, climate and ecological zones on DOC concentrations in surface waters and, to develop a statistical model to estimate the regional variability of these concentrations. In this study, multilevel statistical analysis was used to achieve three specific objectives: (1) evaluate the influence of climate and geophysical characteristics on DOC concentrations in surface waters; (2) compare the influence of geophysical characteristics and ecological zones on DOC concentrations in surface waters; and (3) develop a model to estimate the most accurate DOC concentrations in surface waters. The case study involved 115 catchments from surface waters in the Province of Quebec, Canada. Results showed that mean temperatures recorded 60 days prior to sampling, total precipitation 10 days prior to sampling and percentages of wetlands, coniferous forests and mixed forests have a significant positive influence on DOC concentrations in surface waters. The catchment mean slope had a significant negative influence on DOC concentrations in surface waters. Water type (lake or river) and deciduous forest variables were not significant. The ecological zones had a significant influence on DOC concentrations. However, geophysical characteristics (wetlands, forests and slope) estimated DOC concentrations more accurately. A model describing the variability of DOC concentrations was developed and can be used, in future research, for estimating DBPs in drinking water as well evaluating the impact of climate change on the quality of surface waters and drinking water.
溶解有机碳 (DOC) 是地表水天然有机物 (NOM) 的公认指标。本文的目的有两个：评估地球物理特征、气候和生态区对地表水中 DOC 浓度的影响，并开发一种统计模型来估计这些浓度的区域变异性。在这项研究中，使用多层次统计分析来实现三个具体目标：(1) 评估气候和地球物理特征对地表水中 DOC 浓度的影响；(2) 比较地球物理特征和生态区对地表水中 DOC 浓度的影响；(3) 开发一种模型来估计地表水中最准确的 DOC 浓度。案例研究涉及来自加拿大魁北克省地表水的 115 个流域。结果表明，采样前 60 天记录的平均温度、采样前 10 天的总降水量以及湿地、针叶林和混交林的百分比对地表水中的 DOC 浓度有显著的正向影响。流域平均坡度对地表水中的 DOC 浓度有显著的负向影响。水体类型（湖泊或河流）和阔叶林变量没有显著影响。生态区对 DOC 浓度有显著影响。然而，地球物理特征（湿地、森林和坡度）更能准确地估算 DOC 浓度。描述了 DOC 浓度变化的模型已经建立，可以在未来的研究中用于估计饮用水中的 DBP，并评估气候变化对地表水和饮用水质量的影响。
