Including land use information for the spatial estimation of groundwater quality parameters – 1. Local estimation based on neighbourhood composition
Including land use information for the spatial estimation of groundwater quality parameters – 1. Local estimation based on neighbourhood composition
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纳入土地利用信息，用于地下水质量参数的空间估算 â 1 基于邻域构成的局部估算
DOI：
10.1016/j.jhydrol.2015.12.049
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发表时间：
2016
影响因子：
6.4
通讯作者：
A. Bárdossy
中科院分区：
文献类型：
--
作者：
T. Heisserer;C. P. Haslauer;A. Bárdossy
大部分地下水补给来自于水通过地表的渗透。数据分析表明，地下水位上的溶质浓度在不同的土地利用类别之间存在差异，并取决于特定社区内的土地利用组成。在这些观测的驱动下，尽管土地利用信息是绝对的，但本文的目标是估计取决于附近土地利用组成的地点的溶质分布。这一目标是通过混合均匀土地利用的纯分布，根据它们在估计地点附近的出现频率和它们离估计位置的距离来实现的。使用基于最大似然的方法对这些纯分布进行联合反演，并使用交叉验证来优化邻域大小。低于检测下限的测量通过它们的非超标概率被包括在内。提出了次要信息的特定于溶质的、空间分布的信息含量的度量。该方法适用于多种类型的二次信息，可作为主变量空间估计的漂移。该估计是局部估计，不包括更大尺度的空间信息。测量信息是通过土地利用组的优化浓度分布来包含的，而不是通过空间相关性模型。全球估计在配套文件中进行了描述。
Most groundwater recharge comes from the infiltration of water through the land surface. Data analysis shows that solute concentrations at the water table vary between land use categories and depending on the land use composition within a certain neighbourhood.Driven by these observations, the goal of this paper is to estimate the solute distribution at a location depending on the composition of land use in the neighbourhood, even though land use information is categorical. This goal is achieved by mixing pure distributions of homogeneous land use according to their frequency of occurrence in the vicinity of, and their distance from an estimation location. These pure distributions are jointly inverted using a maximum likelihood-based approach.The neighbourhood size is optimized using cross-validation. Measurements below detection limit are included via their probabilities of non-exceedance. A solute-specific, spatially distributed measure of information content of the secondary information is presented. The method is applicable for many types of secondary information and can be used as drift for spatial estimation of the primary variable. This estimation is a local estimation and does not include larger scale spatial information. The information of measurements is included via the optimized concentration distributions for land use groups, not via a model of spatial dependence. The global estimation is described in the companion paper.
截尾痕量水质数据分布参数的估计：2.验证和应用
DOI：
--
发表时间：
1986
期刊：
影响因子：
--
作者：
D. Helsel;R. Gilliom
通讯作者：
R. Gilliom