Optimal design of monitoring networks for multiple groundwater quality parameters using a Kalman filter: application to the Irapuato-Valle aquifer.

A new method for the optimal design of groundwater quality monitoring networks is introduced in this paper. Various indicator parameters were considered simultaneously and tested for the Irapuato-Valle aquifer in Mexico. The steps followed in the design were (1) establishment of the monitoring network objectives, (2) definition of a groundwater quality conceptual model for the study area, (3) selection of the parameters to be sampled, and (4) selection of a monitoring network by choosing the well positions that minimize the estimate error variance of the selected indicator parameters. Equal weight for each parameter was given to most of the aquifer positions and a higher weight to priority zones. The objective for the monitoring network in the specific application was to obtain a general reconnaissance of the water quality, including water types, water origin, and first indications of contamination. Water quality indicator parameters were chosen in accordance with this objective, and for the selection of the optimal monitoring sites, it was sought to obtain a low-uncertainty estimate of these parameters for the entire aquifer and with more certainty in priority zones. The optimal monitoring network was selected using a combination of geostatistical methods, a Kalman filter and a heuristic optimization method. Results show that when monitoring the 69 locations with higher priority order (the optimal monitoring network), the joint average standard error in the study area for all the groundwater quality parameters was approximately 90 % of the obtained with the 140 available sampling locations (the set of pilot wells). This demonstrates that an optimal design can help to reduce monitoring costs, by avoiding redundancy in data acquisition.

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

This paper presents a new methodology for the optimal design of space-time hydraulic head monitoring networks and its application to the Valle de Querétaro aquifer in Mexico. The selection of the space-time monitoring points is done using a static Kalman filter combined with a sequential optimization method. The Kalman filter requires as input a space-time covariance matrix, which is derived from a geostatistical analysis. A sequential optimization method that selects the space-time point that minimizes a function of the variance, in each step, is used. We demonstrate the methodology applying it to the redesign of the hydraulic head monitoring network of the Valle de Querétaro aquifer with the objective of selecting from a set of monitoring positions and times, those that minimize the spatiotemporal redundancy. The database for the geostatistical space-time analysis corresponds to information of 273 wells located within the aquifer for the period 1970-2007. A total of 1,435 hydraulic head data were used to construct the experimental space-time variogram. The results show that from the existing monitoring program that consists of 418 space-time monitoring points, only 178 are not redundant. The implied reduction of monitoring costs was possible because the proposed method is successful in propagating information in space and time.

Limits of the therapeutic properties of synthetic S3Pvac anti-cysticercosis vaccine.

The S3Pvac synthetic vaccine, composed of three peptides (GK1, KETc1 and KETc12) effectively protects against cysticercosis under experimental and field conditions. Additionally, S3Pvac vaccine can effectively damage early-established cysticerci in experimentally lightly infected young pigs. This study was designed to explore if also fully-developed cysticerci that eluded immunity induced by the infection can be damaged by S3Pvac-induced immunity in naturally, heavily infected adult pigs. Fourteen pigs identified as cysticercotic by tongue inspection from rural communities were purchased and moved to controlled conditions in the Faculty of Veterinary Medicine. Half of these pigs were treated once a month three times with S3Pvac plus saponin, and the other half received only saponin (controls). Twelve months later pigs were euthanized, and the number of cysticerci, their macro and microscopic status and their capacity to transform into tapeworms were determined. S3Pvac failed to damage fully-developed muscle cysticerci of naturally, heavily infected adult pigs. To explore possible factors involved in the failure of the therapeutic capacity pooled sera from control and treated cysticercotic pigs were added to mice mononuclear peripheral cells. Pooled sera from non-infected pigs were also tested. Sera from control and treated infected pigs almost completely suppressed the T cell proliferative responses, pointing to the presence of suppressor factors. In conclusion, S3Pvac vaccine failed to damage fully-developed cysticerci in pigs in which a host parasite relationship had evolved after months of infection with immunological implications.