Combining natural background levels (NBLs) assessment with indicator kriging analysis to improve groundwater quality data interpretation and management

被引:68
作者
Ducci, Daniela [1 ,2 ]
Condesso de Melo, M. Teresa [3 ]
Preziosi, Elisabetta [2 ]
Sellerino, Mariangela [1 ]
Parrone, Daniele [2 ,4 ]
Ribeiro, Luis [3 ]
机构
[1] Univ Naples Federico II, Dept Civil Architectural & Environm Engn, Piazzale Tecchio 80, I-80125 Naples, Italy
[2] CNR, Water Res Inst, IRSA CNR, Via Salaria Km 29,300, I-00015 Rome, Italy
[3] Univ Lisbon, Inst Super Tecn, CERIS, Ave Rovisco Pais 1, P-1049001 Lisbon, Portugal
[4] RomaTre Univ, Dept Sci, Rome, Italy
关键词
Natural background level; Groundwater contamination; Indicator kriging; Probability maps; BASE-LINE QUALITY; THRESHOLD VALUES; NITRATE CONCENTRATIONS; CONTAMINATION; BODIES; IDENTIFICATION; DERIVATION; ARGENTINA; AQUIFERS; ELEMENTS;
D O I
10.1016/j.scitotenv.2016.06.184
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The natural background level (NBL) concept is revisited and combined with indicator kriging method to analyze the spatial distribution of groundwater quality within a groundwater body (GWB). The aim is to provide a methodology to easily identify areas with the same probability of exceeding a given threshold (which may be a groundwater quality criteria, standards, or recommended limits for selected properties and constituents). Three case studies with different hydrogeological settings and located in two countries (Portugal and Italy) are used to derive NBL using the preselection method and validate the proposed methodology illustrating its main advantages over conventional statistical water quality analysis. Indicator kriging analysis was used to create probability maps of the three potential groundwater contaminants. The results clearly indicate the areas within a groundwater body that are potentially contaminated because the concentrations exceed the drinking water standards or even the local NBL, and cannot be justified by geogenic origin. The combined methodology developed facilitates the management of groundwater quality because it allows for the spatial interpretation of NBL values. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:569 / 584
页数:16
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