Application of a simple multiplicative spatio-temporal stream water quality model to the river Conwy, North Wales.
Application of a simple multiplicative spatio-temporal stream water quality model to the river Conwy, North Wales.
复制标题
简单乘法时空河流水质模型在北威尔士康威河中的应用。
DOI：
10.1039/c3em00627a
复制
发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Cooper DM
中科院分区：
文献类型：
--
作者：
Cooper DM
我们使用一个简单的乘法时空模型来描述一系列的水质监测数据在康威流域，北威尔士的源头流的变化。该模型的空间组成部分将浓度视为由于少量不同源类型的简单混合，每种源类型与特定的上游流域特征相关。由于季节性或水文变化，时间部分允许浓度变化。我们应用该模型使用三个候选集水特征分类生成混合浓度，和季节性成分来描述时间变异性，并测试一系列的子模型。我们确定了一个交叉分类的土壤和土地覆盖提供了最好的空间指标的水质分类考虑。基于选定的分组交叉分类的空间模型被证明占35%和90%之间的空间变异性和季节模型占45%和100%之间的时间变异性的数据。残差分析表明，DOC和硫酸盐之间的反比关系和氢离子浓度和钙，镁之间。我们还发现了与景观类密切相关的网站之间的残留相关性。这些都归因于景观类的时间相互作用，这是不占在简单的乘法模型。
We use a simple multiplicative spatio-temporal model to describe variability in a sequence of water quality monitoring data from headwater streams in the Conwy catchment, North Wales. The spatial component of the model treats concentrations as due to simple mixing of a small number of distinct source types, each associated with particular upstream catchment characteristics. The temporal component allows concentration variability due to seasonal or hydrological change. We apply the model using three candidate catchment characteristic classifications to generate mixing concentrations, and a seasonal component to describe temporal variability, and test a range of sub-models. We identify a cross-classification of soil and land cover as providing the best spatial indicator of water quality of the classifications considered. The spatial model based on a selected grouped cross-classification was shown to account for between 35% and 90% of the spatial variability and the seasonal model accounted for between 45% and 100% of the temporal variability in the data. Analysis of residuals showed an inverse relationship between DOC and sulphate and between hydrogen ion concentration and calcium and magnesium. We also found residual correlations between sites which are strongly related to landscape class. These are attributed to landscape class by time interactions which are not accounted for in the simple multiplicative model.
大型酸敏感河流网络的化学和生物状态的时空关联模型。
影响因子：
9.8
作者：
C. Evans;D. Cooper;S. Juggins;A. Jenkins;D. Norris
通讯作者：
D. Norris
用于模拟点、场和流域尺度水质的景观模型
DOI：
--
发表时间：
2007
期刊：
影响因子：
--
作者：
P. Srivastava;K. Migliaccio;J. Šimůnek
通讯作者：
J. Šimůnek
根据流域属性对苏格兰主要河流的水化学进行建模
DOI：
--
发表时间：
2000
期刊：
影响因子：
--
作者：
M. Cresser;R. Smart;M. Billett;C. Soulsby;C. Neal;A. Wade;S. Langan;A. Edwards
通讯作者：
A. Edwards