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Earth observation (EO) data are useful tools to analyse geomorphological processes, among which slow-moving landslides triggered by rainfall. EO data are also used to evaluate climate change and to assess its impact on geomorphological processes and geo-hydrological phenomena. The latter is the topic of the Project OT4Clima (Innovative Earth Observation technologies to study Climate Change and its impact on the environment) joined by CNR-IRPI within a consortium that includes other CNR institutes, universities and private companies. The OT4CLIMA project moves from the awareness that the impacts of climate change on the environment need to be better observed, understood, and modelled, especially at a regional scale, in order to put in place appropriate and effective risk mitigation strategies. Within the project, the CNR-IRPI group works on the development of rigorous methods and procedures for evaluating the impact of climate and its change on landslides, in particular on those characterized by a slow cinematic, at a regional scale. The test site is represented by four catchments located in the Basilicata region, southern Italy, namely the basins of the Bradano, Basento, Agri, and Sinni rivers. Long-term rainfall series gathered from 22 rain gauges located in the four catchments are analysed to evaluate the presence of temporal trends. To this aim, non-parametric and statistical tests are applied to the series. Historical landslide information is gathered from the analysis of the IFFI (Inventario dei Fenomeni Franosi in Italia) database, the Idrogeo platform (https://idrogeo.isprambiente.it/app/) and the AVI (Aree Vulnerate in Italia) catalogue. Only some types of landslide movements are considered, namely rotational-translational slides, slow slides/flows, complex movements. Moreover, Copernicus Sentinel-1 images are employed to detect the spatial and temporal distribution of slow earth surface deformations. The obtained results are used for checking the completeness of the landslide inventories. More in detail, the deformation maps of the test site are obtained by means of the application of the SBAS (Small BAseline Subset) technique to three datasets of Sentinel-1 images: t146 ascending orbit and t51 and t124 descending orbits, for the period 2015-2020. Then, a comparative analysis of rainfall data with displacement series is carried out with the aim of identifying clusters of satellite measurements with homogeneous behaviour likely correlated to variations in the rainfall regime. In particular, only the points with a mean velocity in the observation higher than 0.1 cm/year are considered to be moving. Moreover, only the displacement series of points located in areas mapped as landslides - as for the historical inventories - and sited within the influence regions of each rain gauge in the study area are analysed. A 10-km circular buffer centred in the stations are used to define the influence region of each station. The displacement series are analysed and compared to the rainfall series to search for correlations and to evaluate the effects of climate drivers on slow moving landslides.

The Philippines, and in particular its urban agglomerations (Manila, but not only), is characterized by innumerable social and environmental problems. These are largely due to recent history, from colonization onwards, to a socio-political system that has never found stability, but also to environmental impacts of the country's development, such as pronounced deforestation, massive urbanization and growth linked to the use of fossil fuels. In this framework, the role of climate is really important. The Philippines is located in a region of the globe strongly influenced by monsoons, which bring dry seasons (with frequent heat waves) alternating with wet ones with heavy rainfall. In addition, the region is often hit by typhoons, some of them very intense (super-typhoons), and the sea-level rise and storm surges associated with intense events cause severe flooding on the coasts of this archipelago. During recent decades, anthropogenic climate change has generally intensified all these phenomena, with even very serious consequences on territories that can often be considered fragile and on a very exposed population, in the countryside and on the coasts, but especially in urban centres. The environmental and social degradation we are witnessing in the Philippines certainly calls for systemic thinking like that of Pope Francis in his encyclical Laudato si' (Pope Francis 2015). It is a matter of adapting to a changed climate that will not return to the pre-industrial conditions, while at the same time strongly mitigating with a drastic reduction of greenhouse gas emissions. But here, as in the world's other fragile states, more than anything else there is a need for the developed countries, and the ones that created the problems related to climate change, to reach out to the Philippines with support of international cooperation to make the whole world a fair, more prosperous, safe and happy place to live. In this paper, I will attempt to describe the Philippines' climate and its recent changes, the impacts of these on the territories, the consequences on Philippine society, and the challenges of ecological conversion in this situation of environmental degradation.

The real assets, procedures, systems,and subsystems of a city can be virtually represented throughan urban digital twin(DT),which integrates heterogeneous data to learn and evolve with the physical city,offering support to monitor the current status and predict possible future scenarios.A DT of a city can be organized into layers, which represent specific facets of the city and cooperate to address specifici ssues.In this work,we present an application scenario in which a geometric layer,representing the 3D morphology of the urbane nvironment, cooperates with an energy consumption layer,providing knowledge of the peculiarities of thebuilding urban area and in particular of the built fabric,to assess their impact in terms of energy efficiency.The analysis of the urban geometries provides quantitative measuresas useful input,for instance,to define heat leakage.

As of mid-2017, there were ~7500 metric tons of mass in orbit around the Earth, of which about 95% concentrated in almost 6700 intact spacecraft and orbital stages. Among them, nearly 80% were abandoned and more than 90% could not be maneuvered. The intact objects abandoned in LEO above ~650 km, i.e. with a typical residual lifetime of more than 25 years, represent the main potential mass reservoir for the generation of new detrimental orbital debris in case of mutual collisions with the existing debris environment. A practicable strategy to assess the latent long-term environmental impact of an orbiting object is to devise a ranking scheme based on simplified and reasonable inferences. Several ranking schemes have been proposed by different authors during the last decade. Various "criticality indexes" have been devised by us (at ISTI-CNR) in the last few years, and they have been applied to evaluate the environmental impact of many families of rocket bodies and selected spacecraft. A couple of the most complete indexes formulated by us are herein applied to assess the potential criticality of the most massive objects abandoned in LEO.

The aim of the joint activity between CNR ITAE and University of Malta, funded in the framework of a bilateral agreement is the preliminary study of the possible application of thermally-activated technologies for the refrigeration of fish on-board of fishing vessels, with particular attention to the Mediterranean area. In such a context, the two partners, given their expertise in the adsorption and absorption cooling technologies, dedicated the first year of the joint project on several activities needed to define possible integration solutions on-board. The following report is then organized as follows: - Section 3 reports an analysis of the state-of-the-art concerning existing refrigeration systems currently employed in the fishing vessels' application as well as innovative activities recently performed on the possible integration of thermally-driven technologies for the refrigeration. - Section 4 focuses on the definition of possible integration between the waste heat recovered from the engines of the fishing vessel and the sorption technology for refrigeration. This analysis takes into account different possible applications, in terms of refrigeration temperatures as well as capacities. Furthermore, different possible waste heat streams at different temperature levels are investigated. - Section 5 identifies the typical working boundary conditions under which the fishing vessel operates, in terms of cooling demand, also considering different climatic zones (i.e. different geographical areas in which the vessel operates) and vessels' typology. - Section 6 investigates possible working pairs, both for adsorption and absorption technologies, which are promising for the given boundary conditions in Section 5. This activity is needed to set the operational limits that each technology and working pair cannot overcome. - Section 7 reports the calculations performed for each working pair and operating conditions, both taking into account thermodynamic constraints as well as analysing literature results on different prototypes realized and tested. - Section 8 introduces a dynamic model, implemented in TRNSYS environment, of an absorption refrigerator, which was validated and will be used in the following activities to investigate the defined schematics in Section 4. - Section 9 defines the Key Performance Indicators (KPIs) that will be used in the following activities to compare the achievable results of the different configurations.

Cereals, staple crops in human nutrition, are called to face manifold challenges to encounter the urgent demand of food along with a higher nutritional value ensuring the sustainability of the supply chain. In this view, research focuses on two main topics; firstly, the rise in productivity, balancing the growing demand of food, consistent with the availability of environmental resources. The second issue regards the urgency to properly cover the nutritional needs of the population which has become more sensitive to pathologies related to high-calorie eating habits and poor in valuable nutritional compounds. Faced with such important issues, it is desirable to adopt a full approach, based on projects aimed at satisfying multiple requests at once. The research here discussed concerns the development of three durum wheat genotypes in which novel properties have been combined both in the health-functional profile of the derived foods and in the milling characteristics of the grain. The project involves a group of durum wheat genotypes, in which the starch component has been modified in the amount of amylose, a polysaccharide that, together with amylopectin, constitutes the reserve starch. The high amylose genotypes are of interest due to the low glycemic profile and the prebiotic functionality of the derived foods depending on the increase in "resistant starch"; the amylose-free genotype is suitable for the design of highly digestible foods ideal for specific uses, such as nutrition for infants. These genotypes were, therefore, the subject of a further improvement breeding program focused on modifying the hardness of the seed associated with the efficiency and sustainability of grinding and the quality of the final products. In detail, three different genotypes of durum wheat have been selected:1) Soft Svevo /Sv SSIIa and 2) Soft Svevo/Sv SBEIIa combine a high amylose content with a softer kernel that results in increased resistant starch content and energy saving during the milling process. The third genotype, Soft Svevo/Sv Waxy, combines a softer kernel with free amylose starch following a novel starch digestibility profile suited for specific food categories. A marker-assisted selection based on HRM-genotyping has been performed to identify the homozygous mutants in the progenies of the three different crosses. Biochemical analyses such as the determination of total starch, resistant starch, starch damage, ?-glucan and arabinoxylan content are in progress and will be able to highlight the potential value of the selected genotypes.

Planktonic organisms are considered good indicators of environmental changes, even more sensitive than abiotic variables per se. In relatively recent years, the importance of pluriannual plankton series has become increasingly important, also for management purposes and in the process of bridging the gap between environmental science and management policy. Plankton studies in Lake Maggiore date back to middle 1900s, although a regular monitoring started in late seventies, in the framework of an agreement between Swiss and Italian Governments. The full long-term data series (1981-2011) entirely covers the lake's recovery, since full mesotrophy of mid-1970s, to present oligotrophy. Response of plankton communities to eutrophication reversal after lake restoration included a gradual increase in the number of phytoplankton taxonomic units and in cell density along with a decrease of average cell size. Changes in taxonomic composition, population density and mean body size were also tracked in the zooplankton. Data we obtained through these studies, however, pertaining to each single level of biological organization, do not allow per se for highlighting quantitative changes in trophic relationships and in ecosystem functioning driven by changes in trophy. Environmental changes, such as those attributable to eutrophication/oligotrophication processes, as well as to climate, are expected to affect not only taxonomic composition of planktonic assemblages, but also the trophic relationships and the ecosystem processes. Moreover, during the lake's oligotrophication the role of climatic constraints became increasingly important in controlling plankton dynamics, affecting phytoplankton nutrient supply, resource ratio, population phenology and the whole life cycles of the organisms involved. Our aim is to track the ecosystem response by analysing the phytoplankton-zooplankton relationship from a functional point of view, trying to find the key driver across different steps of the lake's trophic history, in the attempt to disentangle climate- from trophy-related responses of lake ecosystems.

Lakes are rapidly responding strategic systems and key sentinels of global change. A globally harmonized observation approach is needed to identify climate signals in lake physical, hydrological and biogeochemical change to support numerical models. One effort in this direction is the ongoing European Space Agency Climate Change Initiative for Lakes (CCI Lakes). The overarching objective of the project is to produce and validate a consistent data set of Essential Climate Variables for lakes. This includes aiming for the longest period of combined satellite observations by designing and operating processing chains, designed to ultimately feature in a sustainable production system. Lakes CCI focuses on the following five thematic climate variables: oLake Water Level (LWL) oLake Water Extent (LWE) oLake Surface Water temperature (LSWT) oLake Ice Cover (LIC): dynamics of freeze-up in autumn and break-up in spring oLake Water-Leaving Reflectance (LWLR): estimates of chlorophyll-a and turbidity The first Climate Research Data Package (v1, 2020) was recently created for up to 250 globally distributed lakes. It brings together the state-of-the-art in satellite observation using thermal, optical and altimetry missions. The Lakes_cci products are open public and easy to access so that it definitely presents an opportunity for lake scientists and climate modellers worldwide to perform studies for which the five lakes variables present an important dataset. In this conference we will present the project overview and progress with a focus on the preliminary results of the 5 ECVs at global level and in particular regions.

Recently, nanotechnologies have shifted toward the development of hybrid nanomaterials and functional nanocomposites, which are distinguished by the presence of functional nanometric components or nanofillers dispersed in a polymeric matrix, resulting in increased properties compared to those of either starting component. The original concept is to create an enhanced nanohybrid or nanocomposite material that is appropriate as a surface coating or for other sustainable applications due to increased qualities such as: 1) antifouling or antibacterial; 2) flame-retardant; 3) drug release; 4) sensing; 5) mechanical resistance; and 6) pollutant absorption and degradation [1]. In particular, the incorporation of sensing functions into fabric textiles is a powerful approach toward the development of so-called "smart textiles", enabling the development of wearable sensors, i.e. novel systems characterized by main textile characteristics such as flexibility, biocompatibility, comfort, and mechanical resistance, capable of reacting and adapting to specific external stimuli from their surroundings [2]. This work will show in details the design, synthesis, and characterization of hybrid nanomaterials and multifunctional, innovative and smart nanocomposites based on functional nanoparticles and nanofillers dispersed in polymeric matrices and/or in combination with suitable dopants, used as-is or as coatings of various substrates, for uses in opto-electronic devices, sensors, catalytic processes, cultural heritage, environmental remediation, construction, blue growth, biomedicine and textiles. The setting up of totally green and eco-friendly synthesis procedures based on natural components or wastes to produce functional products that can also be recycled, will be underlined as a crucial step toward sustainability.