The primary objective of this thesis is to develop innovative web maps in both 2D and 3D formats, offering static and dynamic (real-time) information. They are adopted to demonstrate their potential application in conducting hydrogeological risk analyses, especially in regions with high risk due to dense urbanization. The main area of interest is the Cervo Valley, situated in the Piedmont Region, Italy. This Valley is cyclically affected by catastrophic natural events due to its orographic and hydrographic characteristics. To achieve this final purpose, a series of QGIS Python-based tools and Python scripts are utilized to create the web maps. Additionally, initial comments are provided on the features of two culturally and historically significant infrastructures in the Valley: the Sain Giovanni Andorno Sanctuary and the ex-wool mill Maurizio Sella.