Maria Charco Romero
Researcher
Earth Dynamics and Earth Observation
Complutense University of Madrid
Spain
Biography
Dr. Maria Charco Romero is affiliated to Earth Dynamics and Earth Observation, Complutense University of Madrid, where Dr. Maria Charco Romero is currently working as Scientist. Dr. Maria Charco Romero has authored and co-authored several national and international publications and also working as a reviewer for reputed professional journals. Dr. Maria Charco Romero is having an active association with different societies and academies around the world. Dr. Maria Charco Romero made his mark in the scientific community with the contributions and widely recognition from honourable subject experts around the world. Dr. Maria Charco Romero has received several awards for the contributions to the scientific community. Dr. Maria Charco Romero major research interest involves Mathematical modeling of geophysical and geodetic phenomena caused by volcanic and seismic activity, Application of spatial geodetic techniques to volcanic risk research, Spatial Geodesy, Potential Fields (gravity and geomagnetic) and Geomathematics.
Research Interest
Mathematical modeling of geophysical and geodetic phenomena caused by volcanic and seismic activity, Application of spatial geodetic techniques to volcanic risk research, Spatial Geodesy, Potential Fields (gravity and geomagnetic) and Geomathematics
Publications
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CHARCO, M., LUZÓN, F., FERNÃNDEZ, J., TIAMPO, KF (2007). Topography and self-gravitation interaction in elastic-gravitational modeling . Geochemistry, Geophysics and Geosystems, 8, Art. No. Q01001.
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CHARCO, M., FERNÃNDEZ, J., LUZÓN, F., RUNDLE, JB (2006). On the relative importance of self-gravitation and elasticity in modeling volcanic ground deformation and gravity changes . Journal of Geophysical Research, 111, B03404.
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CHARCO, M., GALÃN DEL SASTRE, P. (2011). Finite Element numerical solution for modeling ground deformation in volcanic areas . In: PARDO, L. (Ed.). Modern mathematical tools and techniques in capturing complexity, Understanding Complex Systems, 223-237.
