X-ray diffraction (XRD), Scanning Electron Microscope-Energy Dispersive Spectroscopy (SEM-EDS), and Fourier Transform Infrared Spectroscopy (FT-IR), were applied to analyze the organic matrix of two Molluscan shells. The Mollusca shells are mineral structure and calcium carbonate crystallized as aragonite. The FT-IR spectra showed Alkyl Halide, Alkanes, Alcohols, Amides, Aromatic, and Hydroxyl groups in the organic matrix of the whole (organic and mineral) Molluscan shells. SEM images of particles of the two Molluscan shells at different magnifications were taken. The morphologies of the samples show a flake like structures with irregular grains, their sizes are at micrometric scale and the chemical analysis of EDS indicated that the major elements of Cardita and Gastropoda were C, O, and Ca, consistent with the results of XRD analysis. The results of the analysis of the EDS spectra of the shells showed that the content of most of the powder composition of shells is the element carbon, calcium oxygen, aluminium, and lead peaks that appear on the Cardita and Gastropoda and shells powders tap EDS spectra. The present work examined organic matrix of the selected shells of the heavily polluted and light polluted sites, along Nellore Coast, South East Coast of India. The heavily polluted sites have significantly thickened shells. The data demonstrated the sensitivity of this abundant and widely distributed intertidal fragile environment.
An inversion algorithm is developed to simultaneously estimate the fault plane geometry and the parameters pertaining to either densities or depths of multiple geologic formations within the hanging wall system of a strike-limited listric fault from the observed gravity anomalies. Fault planes of the structures are described by polynomial functions of of the algorithm is demonstrated on both the synthetic example, pseudorandom noise is added to the gravity anomalies of the structure prior to inversion. From the inversion of gravity anomalies produced by a synthetic structure it was found that the estimated parameters more or less mimic the true parameters even in the densities and depths of the formations from independent inversion of real-world gravity anomalies from the margin of the Chintalpudi available drilling information.
ResumenSe desarrolló un algoritmo de inversión para estimar simultáneamente la geometría de plano de falla y los parámetros que pertenecen a cualquiera de las densidades o profundidades de múltiples formaciones geológicas, con el sistema de colgado en la pared, en un plano de fractura limitada de las anomalías de gravedad observadas. Se describen planos de falla de las estructuras mediante funciones La aplicabilidad del algoritmo se demostró de la gravedad de campo. En el ejemplo de síntesis se añadió ruido pseudoaleatorio a las anomalías de gravedad de la estructura antes de la inversión. En la inversión de anomalías de gravedad, producidos por una estructura sintética, se encontró que los parámetros estimados más o menos imitan los parámetros obtenidos, incluso en presencia de ruido aleatorio. Las densidades y profundidades estimadas de las formaciones de inversión independiente de anomalías de gravedad del mundo real desde el margen de la subcuenca con la información disponible de la perforación.Palabras clave: morfología de fallas lístricas, densidad, anomalía de gravedad, inversión.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.