Literature DB >> 15074612

Optimal space-time coverage and exploration costs in groundwater monitoring networks.

L M Nunes1, M C Cunha, L Ribeiro.   

Abstract

A method to determine the optimal subset of stations from a reference level groundwater monitoring network is proposed. The method considers the redundancy of data from historical time series, the times associated with the total distance required to run through the entire monitoring network, and the sum of the times for each monitoring station. The method was applied to a hypothetical case-study consisting of a monitoring network with 32 stations. Cost-benefit analysis was performed to determine the number of stations to include in the new design versus loss of information. This optimisation problem was solved with simulated annealing. Results showed that the relative reduction in exploration costs more than compensates for the relative loss in data representativeness.

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Year:  2004        PMID: 15074612     DOI: 10.1023/b:emas.0000016795.91968.13

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  1 in total

1.  Optimization by simulated annealing.

Authors:  S Kirkpatrick; C D Gelatt; M P Vecchi
Journal:  Science       Date:  1983-05-13       Impact factor: 47.728

  1 in total
  2 in total

1.  A geostatistical methodology for the optimal design of space-time hydraulic head monitoring networks and its application to the Valle de Querétaro aquifer.

Authors:  H E Júnez-Ferreira; G S Herrera
Journal:  Environ Monit Assess       Date:  2012-08-31       Impact factor: 2.513

2.  Sequential optimal monitoring network design and iterative spatial estimation of pollutant concentration for identification of unknown groundwater pollution source locations.

Authors:  Om Prakash; Bithin Datta
Journal:  Environ Monit Assess       Date:  2012-11-16       Impact factor: 2.513

  2 in total

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