Lognormal kriging for the assessment of reliability in groundwater quality control observation networks (original) (raw)

Value of Information in Design of Groundwater Quality Monitoring Network under Uncertainty

2012

This paper presents a methodology for groundwater quality monitoring network design that takes into account uncertainties in aquifer properties, pollution transport processes, and climate. The methodology utilizes a statistical learning algorithm called a relevance vector machine (RVM), which is a sparse Bayesian framework that can be used for obtaining solutions to regression and classification tasks. Application of the methodology is illustrated using the Eocene Aquifer in the northern part of the West Bank, Palestine. The procedure presented in this paper captures the uncertainties in recharge, hydraulic conductivity, and nitrate reaction processes through the application of a groundwater flow model and a nitrate fate and transport model following a Monte Carlo (MC) simulation process. This MC modeling approach provides several thousand realizations of nitrate distribution in the aquifer. Subsets of these realizations are then used to design the monitoring network. This is done b...

Optimal design of groundwater quality monitoring networks

1992

This research focuses on the optimal design of groundwater quality monitoring networks. The optimization technique developed allows for incorporation of both the model structure, data error, and model parameter uncertainty into the monitoring network design, with concurrent determination of sampling frequency and well locations. Particular emphasis has been placed on the use of stochastic models to describe groundwater quality data in order to incorporate both the deterministic and random behavior of groundwater quality in the model evaluation and monitoring network design processes. A protocol is developed for the evaluation of model applicability and the design of monitoring networks. This protocol was developed based on the results of a simulation study provided a method of evaluating the performance of various model applicability tests and monitoring network designs against a known correct model. The performance of the protocol could therefore be evaluated for correct models wit...