Influence of available data on the geostatistical-based design of optimal spatiotemporal groundwater-level-monitoring networks

Júnez-Ferreira, H. E.; Herrera, G. S.; Saucedo, E.; Pacheco-Guerrero, A.

Influence of available data on the geostatistical-based design of optimal spatiotemporal groundwater-level-monitoring networks | Influence des données disponibles sur la conception de réseaux de surveillance spatio-temporelle optimale de l’eau souterraine à partir de méthodes géostatistiques Influencia de los datos disponibles en el diseño geoestadístico de redes óptimas de monitoreo espaciotemporal de niveles del agua subterránea 现有数据对最优时空地下水位监测网络基于地质统计学设计的影响 Influência de dados disponíveis no projeto baseado em geoestatística de redes ótimas de monitoramento espaço temporal de águas subterrâneas

2019

Júnez-Ferreira, H. E. | Herrera, G. S. | Saucedo, E. | Pacheco-Guerrero, A.

Several methodologies exist for the design of optimal groundwater monitoring networks. Those that employ geostatistical techniques are usually dependent on a variogram. In practice, different variograms for an environmental variable can be fitted depending on the number of available data, their spatial distribution, and their variability. For this reason, in most cases, it is difficult to get an adequate variogram. This report evaluates the influence of the groundwater level data available in the construction of a product-sum spatiotemporal variogram model and its consequences on a geostatistical-based methodology that uses the Kalman filter for the design of optimal spatiotemporal monitoring networks. Additionally, a sensitivity analysis is carried out to determine the variations in the optimal number of wells and monitoring frequency for the monitoring network, depending on the selected spatiotemporal variogram model. The results show the importance of getting a good quality spatiotemporal variogram when designing optimal groundwater-level monitoring networks using geostatistical-based methodologies.

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