CEST Proceedings are published under the ISSN 2944-9820.
Preliminary hydro-geochemistry characterization of the complex geological framework of the Coreca area (Calabria, South Italy).
(Corresponding) Vespasiano G., Apollaro C.
Topic:
Hydrology and water resources
Hydrogeochemical characterization combined with statistical methods has been used to investigate groundwater quality and related geochemical processes in the complex geological framework of Coreca (Calabria, South Italy). Coreca is characterized by a peculiar geological setting that affects the...Read more
Keywords:
Hydrogeochemistry; statistical analysis; Coreca; drinking and irrigation use; statistical elaboration.
Impacts of Land Use and Land Cover Change in a Mediterranean Mountainous Area on Surface Runoff During the Period 1945 – 2018
Psilovikos A., Katsada A., Malamataris D., (Corresponding) Papathanasiou T., Psilovikos T., Spiridis A.
Topic:
Estimation and prediction under past and future conditions (climate, population, land use change)
Changes in land use and land coverage strongly interrelated with changes in runoff. The effects of land use and land cover change on peak surface runoff and sediment loss, was investigated in a mountainous catchment, namely Lakka catchment located in Thessalia region in Greece.Most of the Lakka...Read more
Keywords:
Land use and land cover change; Surface runoff; Photointerpretation; Aerial photographs; NRCS-CN method
Predicting Land Cover Map Changes in the Philippines for use in LULC-based Carbon Capture Monitoring using Deep Learning
Camaclang R., Ballesteros F., (Corresponding) Labao A.
Topic:
Environmental data analysis and modelling
In the area of Carbon Capture and Storage (CSS), monitoring plays an important role not only to determine if there is any anomalies in the release of CO2 in the atmosphere, but also to prepare for disasters and to plan better future developments in the industrial sector, transportation sector, real...Read more
Keywords:
Land Use and Land Cover (LULC), Land Cover Prediction, Carbon Capture and Storage, Deep Learning
