Airborne remote sensing systems are increasingly used in engineering geology and geomorphology for studying and monitoring natural hazardous scenarios and events. In this study, we used two remote sensing monitoring techniques, i.e., light detection and ranging (LiDAR) and unmanned aerial vehicles (UAV) to analyze the kinematic evolution of the Montescaglioso landslide (Basilicata, Southern Italy), a large rain-triggered landslide that occurred in December 2013. By comparing pre- and post-event LiDAR and UAV DEMs and UAV orthomosaics, we delineated landslide morphological features and measured horizontal displacements and elevation change differences within landslide body. Analysis of two subsequent post-events digital terrain models (DTMs) also allowed the evaluation of the evolutionary behavior of the slope instability, highlighting no signs of reactivation. The UAV-derived digital surface models (DSMs) were found consistent with the LiDAR-DTMs, but their use was in addition highlighted as highly effective to support geomorphic interpretations and complement LiDAR and field-based data acquisitions. This study shows the effectiveness of combining the two UAV-LiDAR methodologies to evaluate geomorphological features indicative of the failure mechanism and to interpret the evolutionary behavior of the instability process

Urban resilience must consider the ability of cities to cope with the effects of climate change. Community awareness raising and sustainable urban drainage systems (SUDs) are often mentioned in the literature as effective adaptation actions while the success of these solutions is highly context-dependent and improved planning procedures are urgently needed. In this framework, the URCA! project represents a good practice aiming to strengthen the resilience of urban areas by promoting the implementation of SUDs in territorial planning. The main objective of the present research deals with the role of participation in promoting the use of SUDs and their uptake in town planning and land management involving local communities, students, experts, local authorities, and enterprises. To this end, the research adopts a participatory approach to SUDs urban planning for three case studies in Italy selected under the criterion of maximum variation (Brescia, Genoa, and Matera). For the three case studies, participatory approaches are at different stages of development thus requiring appropriate ways of interacting and resulting in different impacts on decisions. Preliminary results, drivers, and barriers in the application of the participatory approach are discussed and compared in order to bring innovation into planning practices, stimulating a revision of typical governance mechanisms.

Urban transformations change land use, permeability, and morphology of the areas involved in the evolution process; this, consequently, modifies the impact produced by the precipitation phenomena and increases the risk of flooding or uncontrolled runoff in different areas.The proposed watershed hydrologic approach enables us to consider the morphology of the territory together with the transformations implemented by human activities, and this allows us to evaluate the effects of each area on neighboring areas, emphasizes the hydrological roles of upper, intermediate, and lower parts, and reveals urban and non-urban connections. This elucidates hydromorphic complexities in urban transformations and assesses climate change adaptability. The suggested methodology has been implemented in the urban district of “Sasso Caveoso” within the city of Matera. This application facilitates a quantitative synthesis of the contextual response, allowing for an analysis across various scenarios and offering decision-support tools of practical utility.

The paper proposes a new methodology for analysing and computing the overall performance of water distribution system. The methodology is based on a hierarchical system approach that begins by evaluating a set of three complementary performance indicators, namely, reliability, resiliency, and vulnerability. All the indicators are assessed regarding three aspects, namely, water pressure, available flow, and free residual chlorine concentration, which can be divided into hydraulic and quality aspects. Then, a model is developed that aggregates all the indicators into one index that depicts the overall performance. The aggregation is performed through the integration of the analytical hierarchy process with fuzzy set approach. The first assigns weight for each indicator that reflects its relative importance among the other indicators. The second is a fuzzy building methodology that uses the assigned weight and others external information to harmonize all indicators into a unique platform and allows one to obtain the overall performance.

This paper introduces a new methodology for analyzing and computing the overall hydraulic performance for each single component in the network and for the whole water distribution system. Water required and supplied, are considered as the main asset to carry out the hydraulic analysis. The methodology is based on hierarchical system approach that begins by evaluating the hydraulic performance through a set of three indicators that are reliability, resiliency, and vulnerability. Then the Analytic Hierarchy Process (AHP) is being used in order to assign weight for each indicator. Finally, fuzzy logic technique is applied which allows the aggregation of all previous indicators into one single index that depict the system condition whether is poor, good or somewhere in between

The paper introduces anew approach capable to estimate the over all resiliency of water distribution network regarding three aspects namely; water flow, pressure, and water quality. The model begins by evaluating three kinds of resiliencies that is; demand resiliency, pressure resiliency, and water quality resiliency. Then, a model is developed that aggregates all the indicators into one index that depicts the overall resiliency for each single node. The aggregation is performed through the integration of the analytical hierarchy process with fuzzy set approach. The methodology has been demonstrated using a real water distribution system under normal operating conditions