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A geostatistical protocol to optimize spatial sampling of domestic drinking water supplies in remote environments



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Pardo Igúzquiza, Eulogio and Martínez Santos, Pedro and Martín Loeches, Miguel Martín (2018) A geostatistical protocol to optimize spatial sampling of domestic drinking water supplies in remote environments. Stochastic Environmental Research and Risk Assessment, 32 (8). pp. 2433-2444. ISSN 1436-3240, ESSN: 1436-3259

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Official URL: https://link.springer.com/article/10.1007/s00477-017-1499-4


This paper deals with the design of optimal spatial sampling of water quality variables in remote regions, where logistics are complicated and the optimization of monitoring networks may be critical to maximize the effectiveness of human and material resources. A methodology that combines the probability of exceeding some particular thresholds with a measurement of the information provided by each pair of experimental points has been introduced. This network optimization concept, where the basic unit of information is not a single spatial location but a pair of spatial locations, is used to emphasize the locations with the greatest information, which are those at the border of the phenomenon (for example contamination or a quality variable exceeding a given threshold), that is, where the variable at one of the locations in the pair is above the threshold value and the other is below the threshold. The methodology is illustrated with a case of optimizing the monitoring network by optimal selection of the subset that best describes the information provided by an exhaustive survey done at a given moment in time but which cannot be repeated systematically due to time or economic constrains.

Item Type:Article
Uncontrolled Keywords:Stochastic, Entropy, Indicator variable, Thermotolerant coliforms, Groundwater sampling, Water access, Human rights
Subjects:Sciences > Geology > Hidrology
ID Code:54939
Deposited On:05 Apr 2019 18:10
Last Modified:08 Apr 2019 07:33

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