Late Pleistocene-early Holocene paraglacial and fluvial sediment history in the Turbio valley, semiarid Chilean Andes

The transitional character of climatic conditions confers great relevance to paleoclimate studies in the semiarid region where glacial and Holocene geomorphologic records are scarce. Here we present the paraglacial and fluvial evolution of the Turbio valley (30°S) using both field observations and ¹⁴C AMS chronology. Two key sites at the uppermost Turbio valley show glacial margins which likely formed during the 17-12 ka Central Andean Pluvial Event and earlier 37-27 ka episodes associated with glacial advances reported elsewhere in the semiarid Andes. Likewise, two episodes of subsequent paraglacial response are identified: a first episode corresponds to early Holocene fine-grained deposits (~ 11,500-7800 cal yr BP) extending far downstream (> 40 km) from the glacial margins. These deposits and coeval debris cones (~ 11,000-5500 cal yr BP) are the result of arid conditions with occasional runoffs that were unable to export sediments along the trunk valley. The second episode corresponds to disconformably overlying fluvial gravels extending ~ 70 km downstream from the glacial margin, indicative of an increase in the fluvial transport capacity occurring not long after 5500 cal yr BP. Fluvial transport increase resulted from a late Holocene shift to wetter climate conditions, representing a forcing factor which enhanced the paraglacial response.     

A genetic algorithm for filter design to enhance features in seismic images

We present a novel method to enhance seismic data for manual and automatic interpretation. We use a genetic algorithm to optimize a kernel that, when convolved with the seismic image, appears to enhance the internal characteristics of salt bodies and the sub‐salt stratigraphy. The performance of the genetic algorithm was validated by the use of test images prior to its application on the seismic data. We present the evolution of the resulting kernel and its convolved image. This image was analysed by a seismic interpreter, highlighting possible advantages over the original one. The effects of the kernel were also subject to an automatic interpretation technique based on principal component analysis. Statistical comparison of these results with those from the original image, by means of the Mann‐Whitney U‐test, proved the convolved image to be more appropriate for automatic interpretation.