An approach to aquifer vulnerability including uncertainty in a spatial random function framework-Reference-Cited by-同舟云学术

An approach to aquifer vulnerability including uncertainty in a spatial random function framework

Published:2014-09 Issue: Volume:517 Page:889-900
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Armengol S.,Sanchez-Vila X.,Folch A.

Funder

ICREA Academia Program

Spanish Ministry of Economy and Competitiveness

European Union

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference46 articles.

1. ACA, 2009. Realització d’un model numèric del flux d’aigua subterránia associat a la riera de Santa Coloma, Agència Catalana de l’Aigua.

2. The statistical analysis of compositional data;Aitchison;J. Roy. Stat. Soc.,1982

3. The statistical analysis of geochemical compositions;Aitchison;Math. Geol.,1984

4. Aller, L., Bennett, T., Lehr, J.H., Pety, R.J., Hackett, G., 1987. DRASTIC: A standardized system for evaluating groundwater pollution potential using hydrogeologic settings. United States Environmental Protection Agency, EPA/600/2-87/03, p. 622.

5. Geostatistical assessment of groundwater nitrate contamination with reflection on DRASTIC vulnerability assessment: the case of the Upper Litani Basin, Lebanon;Assaf;Water Resour. Manage,2009

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Combining the classic vulnerability index and affinity propagation clustering algorithm to assess the intrinsic aquifer vulnerability of coastal aquifers on an integrated scale;Environmental Research;2023-01

2. Current status and future challenges of groundwater vulnerability assessment: A bibliometric analysis;Journal of Hydrology;2022-12

3. Artificial intelligence modelling framework for mapping groundwater vulnerability of fractured aquifer;Geocarto International;2022-02-09

4. A study of uncertainties in groundwater vulnerability modelling using Bayesian model averaging (BMA);Journal of Environmental Management;2022-02

5. Intrinsic groundwater vulnerability assessment, comparison of different methodologies and validation;Arabian Journal of Geosciences;2021-09-07