Adaptive time-lapse optimized survey design for electrical resistivity tomography monitoring

Adaptive optimal experimental design methods use previous data and results to guide the choice and design of future experiments. This paper describes the formulation of an adaptive survey design technique to produce optimal resistivity imaging surveys for time-lapse geoelectrical monitoring experiments. These survey designs are time-dependent and, compared to dipole–dipole or static optimized surveys that do not change over time, focus a greater degree of the image resolution on regions of the subsurface that are actively changing. The adaptive optimization method is validated using a controlled laboratory monitoring experiment comprising a well-defined cylindrical target moving along a trajectory that changes its depth and lateral position. The algorithm is implemented on a standard PC in conjunction with a modified automated multichannel resistivity imaging system. Data acquisition using the adaptive survey designs requires no more time or power than with comparable standard surveys, and the algorithm processing takes place while the system batteries recharge. The results show that adaptively designed optimal surveys yield a quantitative increase in image quality over and above that produced by using standard dipole–dipole or static (time–independent) optimized surveys

Adaptive time-lapse optimized survey design for electrical resistivity tomography monitoring

Adaptive optimal experimental design methods use previous data and results to guide the choice and design of future experiments. This paper describes the formulation of an adaptive survey design technique to produce optimal resistivity imaging surveys for time-lapse geoelectrical monitoring experiments. These survey designs are time-dependent and, compared to dipole-dipole or static optimized surveys that do not change over time, focus a greater degree of the image resolution on regions of the subsurface that are actively changing. The adaptive optimization method is validated using a controlled laboratory monitoring experiment comprising a well-defined cylindrical target moving along a trajectory that changes its depth and lateral position. The algorithm is implemented on a standard PC in conjunction with a modified automated multichannel resistivity imaging system. Data acquisition using the adaptive survey designs requires no more time or power than with comparable standard surveys, and the algorithm processing takes place while the system batteries recharge. The results show that adaptively designed optimal surveys yield a quantitative increase in image quality over and above that produced by using standard dipole-dipole or static (time-independent) optimized survey

Suivi hydroclimatique dans une zone de crise humanitaire chronique - sud-est de Madagascar

International audienc

A study of karst hydrosystem recharge at the parcel scale, using modeling and correlation analysis - Low noise underground laboratory of Rustrel site

La caractérisation des flux d’eaux qui rechargent réellement les hydrosystèmes souterrains reste un frein à la compréhension du fonctionnement hydrogéologique des milieux souterrains. Lors d’événements pluvieux, quelle part de l’eau est évapo-transpirée ? Quelle part est temporairement stockée dans le sol ? Ces incertitudes sont particulièrement fortes dans le cas de la recharge des milieux hétérogènes tel que le karst. En général, les calculs de recharge des hydrosystèmes karstiques se basent sur une représentation simplifiée de l’évapotranspiration qui considère seulement le climat et pas le fonctionnement de la végétation. Dans cette étude, un modèle de végétation permettant de simuler les transferts d’eaux entre le sol et l’atmosphère en contexte forestier (le modèle CASTANEA), a été appliqué à une parcelle de Chêne vert. L’infiltration efficace (un indicateur de la recharge) estimé avec CASTANEA a été comparée à celle estimée par des approches classiques ainsi qu’à des séries long terme de flux d’eaux souterraines (9 années). Les résultats de cette analyse révèlent que l’infiltration efficace modélisée à partir d’un modèle de végétation comme CASTANEA est plus satisfaisante que les approches classiques ne tenant pas compte du fonctionnement de la végétation. Ce travail ouvre des perspectives intéressantes pour mieux tenir compte du fonctionnement de la végétation et de l’usage du sol sur la recharge des hydrosystèmes karstiques.Assessing the recharge of underground hydrosystems remains an obstacle to understand their hydrologeological functioning. During a rain event, which part of the rain is evapotranspired ? And how much is temporarily stored within the soil ? These questions are particularly relevant in heterogeneous media such as karst hydrosystems. Currently, the models used to compute recharge of karst hydrosystems, rely on simplistic formulations of evapotranspiration that do not account for vegetation functioning. In this study, we used the vegetation process based model CASTANEA, which is designed to compute water transfer between soil, plant and atmosphere. We computed effective infiltration (an index of recharge) with CASTANEA and with other classical approach (based on precipitation minus ETP), and for a welldocumented holm oak site in Provence. Our results provide evidences that effective infiltration computed with CASTANEA yield more satisfactory correlation with measured outflow than simulations based on the classical approach. Our results provide a promising way to improve the simulation of karst hydrosystem recharge

Social Class

Discussion of class structure in fifth-century Athens, historical constitution of theater audiences, and the changes in the comic representation of class antagonism from Aristophanes to Menander

Crop pests and predators exhibit inconsistent responses to surrounding landscape composition

The idea that noncrop habitat enhances pest control and represents a win–win opportunity to conserve biodiversity and bolster yields has emerged as an agroecological paradigm. However, while noncrop habitat in landscapes surrounding farms sometimes benefits pest predators, natural enemy responses remain heterogeneous across studies and effects on pests are inconclusive. The observed heterogeneity in species responses to noncrop habitat may be biological in origin or could result from variation in how habitat and biocontrol are measured. Here, we use a pest-control database encompassing 132 studies and 6,759 sites worldwide to model natural enemy and pest abundances, predation rates, and crop damage as a function of landscape composition. Our results showed that although landscape composition explained significant variation within studies, pest and enemy abundances, predation rates, crop damage, and yields each exhibited different responses across studies, sometimes increasing and sometimes decreasing in landscapes with more noncrop habitat but overall showing no consistent trend. Thus, models that used landscape-composition variables to predict pest-control dynamics demonstrated little potential to explain variation across studies, though prediction did improve when comparing studies with similar crop and landscape features. Overall, our work shows that surrounding noncrop habitat does not consistently improve pest management, meaning habitat conservation may bolster production in some systems and depress yields in others. Future efforts to develop tools that inform farmers when habitat conservation truly represents a win–win would benefit from increased understanding of how landscape effects are modulated by local farm management and the biology of pests and their enemies

Hydrogeophysical monitoring of intense rainfall infiltration in the karst critical zone: A unique electrical resistivity tomography data set

International audienceThe common hydrogeological concepts assume that water mostly enters and flows in fractured and karstified media through preferential pathways related to discontinuities. But it is difficult to locate discontinuities and even more to relate those to possible or effective water routes, particularly when soil or scree covers near surface features. When and where does water flow underground? How fast? Are we able to monitor the infiltration processes? A unique large scale Electrical Resistivity Tomography (ERT) surface based time-lapse experiment was carried out in fractured and karstified carbonate rock during a typical Mediterranean autumn rainy episode (230mm of rain over 17 days). 120 ERT time-lapse sections were measured over the same profile during and after this event (30 days). The gradient array was chosen for his robustness and rapidity. The site is covered by typical Mediterranean forest and is a good example of the surface conditions found in Mediterranean karst. There is no major karstification features (i.e. cave, sinkhole) or major tectonic accident (i.e. fault). In a previous paper, several commercial and research inversion software were tested on this dataset. This processing highlighted some limitations in inversion process. At the actual stage, apparent resistivity data provides insight about recharge/discharge processes that are almost valuable as the inverted resistivity results. Due to his quality, the availability of this unique dataset acquired under natural conditions will allow to the scientific and engineer community exploring advances and limits of ERT approach and to test new software or new data processing strategy

Electrical resistivity monitoring of an earthslide with electrodes located outside the unstable zone (Pont‐Bourquin landslide, Swiss Alps)

ABSTRACT In the past decade, passive seismic methods have shown the possibility to detect significant changes in surface wave velocity up to several days prior to landslide failure, even with sensors located outside the unstable zone. Electrical resistivity tomography has also long been used to monitor hydrological changes in landslides. However, the displacement of electrodes relative to each other during landslide movement induces a modification of the geometric factors and, hence, of the apparent resistivity. The first objective of this work is to evaluate the possibility of monitoring the Pont‐Bourquin landslide (Swiss Alps) with electrodes located outside the unstable zone. The second objective is to monitor both seismic velocity and electrical resistivity to get insights into the evolution with time of mechanical and hydrological parameters, respectively. The sliding mass was first imaged in three dimensions to produce a resistivity starting model for the further inversion of time‐lapse data. Daily time series (235 days from February to November 2015) showed that changes are detected but cannot be spatially localized, in agreement with numerical simulation results. At the seasonal scale, resistivity and seismic time series are positively correlated with temperature and suggest a control by superficial water content. On the scale of a few days, geophysical parameters are negatively correlated with precipitation and suggest rapid infiltration of water into the ground. Although laboratory experiments show that no change in resistivity occurs during fluidization, and since no flow occurred during the monitoring period the evolution of resistivity during a flow event remains an open question