RT Journal Article
T1 A geostatistical protocol to optimize spatial sampling of domestic drinking water supplies in remote environments
A1 Pardo Igúzquiza, Eulogio
A1 Martínez Santos, Pedro
A1 Martín Loeches, Miguel Martín
AB 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.
PB Springer
SN 1436-3240, ESSN: 1436-3259
YR 2018
FD 2018-08
LK https://hdl.handle.net/20.500.14352/13218
UL https://hdl.handle.net/20.500.14352/13218
LA eng
NO Agencia Española de Cooperación al Desarrollo (AECID)
DS Docta Complutense
RD 13 may 2026