Modelling fire occurrence at regional scale. Does vegetation phenology matter?

Through its influence on biomass production, climate controls fuel availability affecting at the same time fuel moisture and flammability, which are the main determinants for fire ignition and propagation. Knowing the role of fuel phenology on fire ignition patterns is hence a key issue for fire prevention, detection, and development of mitigation strategies. The objective of this study is to quantify, at coarse scale, the role of the vegetation seasonal dynamics on fire ignition patterns of the National Park of Cilento, Vallo di Diano and Alburni (southern Italy) during 2000-2013. We applied a habitat suitability model to compare the multitemporal NDVI profiles at the locations of fire occurrence (the used habitat) with the NDVI profiles of the entire study area (the available habitat). Results demonstrated that, from May to October, wildfires occur preferentially at sites where the remotely-sensed NDVI observations have on average lower values than the available habitat. On the other hand, in the period November-April, wildfires tend to occur at sites where the corresponding NDVI observations have higher values than the available habitat. From a practical viewpoint, the proposed method can be implemented using many different ecogeographical variables simultaneously, thus integrating remotely sensed imagery with socioeconomic data, land cover, physiography or any landscape features that are thought to influence fire occurrence in the study area

Easy-to-interpret procedure to analyze fire seasonality and the influence of land use in fire occurrence. A case study in central Italy

Fire frequency and fire seasonality are among the main components of the fire regime. In the Mediterranean Basin, climate directly drives fire occurrence, controlling fuel flammability and determining the fire-prone conditions, so that intense fires prevail during the dry and warm season of the year. However, humans also play a direct role in wildfire regimes, severely altering fuel features, fire policies and land-use management, as well as the timing and location of fire ignitions, to such an extent that anthropogenic activities have overcome the role of climate in shaping fire regimes. The main purpose of this work is to propose a graphical tool capable of identifying the most fire-prone portions of the territory and to explore the differences between the summer and winter fire risk; to this end, we analyzed the seasonal fire risk in the Latium region (central Italy) and its drivers in terms of land-use types, by using a fuel phenology framework. The results demonstrated that climate is not the main cause of bimodal seasonality in fire occurrence and that the existence of two annual fire seasons in Latium is strongly correlated with how humans use fire as a land management tool. The proposed approach may represent an easy-to-interpret pyrogeographical framework applicable in any environment and updatable over time, useful for identifying spatial gradients, and for recognizing fire regime temporal patterns

Treatment of Secondary Raw Materials by Innovative Processes

This paper presents an overview of the various innovative methodologies used in the recovery of valuable metals and critical raw materials from secondary sources. The review also highlights the used varieties of application on large scale in real situations and hopes to provide insights into valorization of spent sources

Sustainable recovery of secondary and critical raw materials from classified mining residues using mycorrhizal-assisted phytoextraction

In this work, mycorrhizal-assisted phytoextraction (MAP, Helianthus annuus–arbuscular mycorrhizal fungus Rhizophagus intraradices–Zn-volcanic ashes) was applied for the recovery of secondary and critical raw materials (SRMs and CRMs, respectively) from Joda West (Odisha, India) mine residues, within a novel multidisciplinary management strategy. Mine residues were preliminarily characterized by using advanced analytical techniques, and subsequently mapped, classified and selected using multispectral satellite Sentinel-2A images and cluster analysis. Selected mine residues were treated by MAP at laboratory scale, and the fate of several SRMs (e.g., Zn, Cr, As, Ni, Cu, Ca, Al, K, S, Rb, Fe, Mn) and CRMs (such as Ga, Ti, P, Ba and Sr) was investigated. Bioconcentration factors in shoots (BCS) and roots (BCR) and translocation factors (TF) were: 5.34(P) > BCS > 0.00(Al); 15.0(S) > BCR > 0.038(Ba); 9.28(Rb) > TF > 0.02(Ti). Results were used to predict MAP performance at larger scale, simulating a Vegetable Depuration Module (VDM) containing mine residues (1 m3). Estimated bio-extracting potential (BP) was in the range 2417 g/m3 (K) > BP> 0.14 g/m3 (As), suggesting the eventual subsequent recovery of SRMs and CRMs by hydrometallurgical techniques, with final purification by selective electrodeposition, as a viable and cost-effective option. The results are promising for MAP application at larger scale, within a circular economy-based approach.Fil: Scotti, Adalgisa. Comisión Nacional de Energía Atómica; ArgentinaFil: Stefano, Milia. Consiglio Nazionale delle Ricerche; ItaliaFil: Silvani, Vanesa Analia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Biodiversidad y Biología Experimental y Aplicada. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Biodiversidad y Biología Experimental y Aplicada; ArgentinaFil: Giovanna, Cappai. Consiglio Nazionale delle Ricerche; ItaliaFil: Guglietta, Daniela. Consiglio Nazionale delle Ricerche; ItaliaFil: Francesca, Trapasso. Consiglio Nazionale delle Ricerche; ItaliaFil: Emanuela, Tempesta. Consiglio Nazionale delle Ricerche; ItaliaFil: Daniele, Passeri. Consiglio Nazionale delle Ricerche; ItaliaFil: Godeas, Alicia Margarita. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Biodiversidad y Biología Experimental y Aplicada. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Biodiversidad y Biología Experimental y Aplicada; ArgentinaFil: Gomez, Martin. Comisión Nacional de Energía Atómica; ArgentinaFil: Stefano, Ubaldini. Consiglio Nazionale delle Ricerche; Itali

Application of Innovative Processes for Gold Recovery from Romanian Mining Wastes

The application of a new hydrometallurgical process for gold extraction by thiosulphate leaching from Romanian mining wastes, coming from Balan and Deva deposits, was studied. There was obtained 85% of Au extraction after leaching; moreover, an integrated flow-sheet, including recycling of process solution and carbon, was outlined, based on results obtained at a laboratory scale, using a schematic chemical circuit of treatment. Global recovery of the process (leaching-adsorption-desorption-electrodeposition) of about 75-80% of Au was achieved. The developed integrated flow-sheet, allows to recycle the reagents during the process, with a loss of only 5-10%, in particular thiosulphate and alcohol, for each complete circuit of treatment

Toward a Multidisciplinary Strategy for the Classification and Reuse of Iron and Manganese Mining Wastes

The aim of this paper is to evaluate an integrated multidisciplinary strategy for the characterization of mining waste, their possible recycling and reuse. The use of Fe-Mn rich wastes in arsenic removal and phosphorus recovery from water and the phytoextraction potential of metals and their possible recovery from biomass are evaluated

Site-specific dataset of mining and metallurgical residues for resource management

This geospatial dataset provides a compilation of findings from an evidence-based review of site-specific resource assessments of mining and metallurgical residues. Information pertaining to location, target material, geological knowledge, extractability, resource classification and stakeholder perspectives was collected from publicly available reports, articles, academic theses, and databases. The dataset includes 44 relevant data attributes from 64 mining and metallurgical sites in 27 countries. Resource classification is available for 38 sites. The dataset can be used by evaluators of recovery projects, authorities that provide permits, as well as by decision makers in support of developing regulatory policies. The dataset facilitates future addition of sites by the research community and can be further used as a starting point to bridge the estimates on recoverable quantities to the United Nations Framework Classification (UNFC). The UNFC is a universally applicable scheme for the sustainable management of all energy, primary and secondary mineral resources. Its use is stimulated by the European Commission and is intended to be adopted by geological surveys to harmonize the data on the availability of primary and secondary raw materials in Europe in future

Knowledge base to facilitate anthropogenic resource assessment

The traditional mining sector uses resource assessments to estimate the mineability of natural resources. The results are communicated to investors, authorities and corporate management boards in a standardized manner, at least on a country level. The recycling sector also requires estimates of recoverable anthropogenic resources. Evidence-based resource assessment, including the selection of parameters for characterising resources and methods for assessing their recoverability, is essential to obtain comparable estimates over time and across scales. Within this report, the COST Action MINEA presents a practical and user-friendly knowledge base for facilitating anthropogenic resource assessments. The fouces is on extractives industry residues, residues in landfills, residues from municipal solid waste incineration as well as construction & demolition waste flows. The key objectives are: To relate current knowledge levels, gaps and future needs to assessments of viability of anthropogenic resource recovery. To review case studies that demonstrate anthropogenic resource assessment in combination with resource classification in order to communicate the viability of anthropogenic resource recovery. We encourage academics, businesses and government organisations to use this report for: designing and developing case studies, future planning, developing standards for characterizing resource quantities and evaluating their recoverability, and collecting and harmonizing resource statistics. ************* The “Mining the European Anthroposphere” (MINEA) is a pan-European expert network, which received funding from the COST Association between 2016 and 2020. The network pools knowledge for estimating the future recoverability of raw materials from anthropogenic resources

Il rischio di incendio: i casi studio del Parco Nazionale del Cilento e Vallo di Diano e la Regione Sardegna

Nella maggior parte degli ecosistemi terrestri il fuoco rappresenta un fattore ecologico importante, in quanto contribuisce a determinare, insieme ad altri fattori, il ciclo della vegetazione, la composizione e la ricchezza in specie della comunità. Il passaggio del fuoco è un processo essenziale nel modellare la struttura e la funzionalità di un paesaggio con il quale mostra forti interazioni reciproche: il fuoco si propaga attraverso il territorio in funzione della presenza e della configurazione degli habitat ad esso favorevoli (Turner et al., 1989); a sua volta, la struttura del paesaggio è largamente determinata dalla frequenza, intensità e dimensione degli incendi che lo attraversano (Pickett & White, 1985; Krumel et al., 1987).Il fenomeno degli incendi è un processo complesso, dipendente da molteplici variabili, sia abiotiche che biotiche, che influenzano dove, come e quando un incendio ha luogo (Yang et al., 2007). La propagazione del fuoco dipende principalmente da fattori legati alla meteorologia (temperatura, precipitazioni, vento), alla topografia del territorio (quota, pendenza ed esposizione) ed alle caratteristiche della vegetazione (tipologia, densità, fenologia) (Diàz-Avalos et al., 2001; Latham & Williams, 2001; Wotton & Martell, 2005); mentre l’insorgenza degli incendi è prevalentemente legata a fattori socioeconomici, come lo spopolamento di vaste aree, l’abbandono dell’agricoltura, la distribuzione di nuovi insediamenti in ambiente rurale e la diffusione di infrastrutture di trasporto (Bajocco & Ricotta, 2008; Loepfe et al., 2010).La regione mediterranea è costituita da un paesaggio eterogeneo e l’innesco degli incendi non è uniforme nel tempo e nello spazio (Catry et al., 2009; Romero-Calcerrada et al., 2008), pertanto risulta importante conoscere il pattern spaziale degli incendi in relazione alla struttura del paesaggio stesso ed alla dinamica vegetazionale.Gli incendi non si verificano né si propagano nel territorio secondo un pattern di distribuzione casuale, bensì alcune tipologie di paesaggio vengono attraversate dal fuoco in maniera preferenziale, mentre altre vengono selezionate negativamente (Forman, 1997).Lo scopo di questa ricerca è quello di analizzare la relazione esistente tra l’eterogeneità del paesaggio e la distribuzione spaziale degli incendi in due aree del bacino mediterraneo: il Parco Nazionale del Cilento e Vallo di Diano e la Regione Sardegna. Il primo obiettivo di questo lavoro: studiare la selettività degli incendi in relazione alla classificazione del territorio (carta di uso del suolo, carta dei sistemi di terre) e alla topografia del territorio (carta delle quote, acclività, esposizioni) in modo da realizzare una carta del rischio d’incendio che prenda in considerazione la distribuzione del rischio nell’area oggetto di studio. Il secondo obiettivo della tesi: analizzare la selettività degli incendi in relazione ai cambiamenti di uso del suolo dovuti all’abbandono delle campagne e delle pratiche agricole tradizionali e chiarire il rischio d’incendio all’interfaccia urbano-foresta

A multivariate approach for mapping fire ignition risk: the example of the National Park of Cilento (Southern Italy)

Recent advances in fire management led landscape managers to adopt an integrated fire fighting strategy in which fire suppression is supported by prevention actions and by knowledge of local fire history and ecology. In this framework, an accurate evaluation of fire ignition risk and its environmental drivers constitutes a basic step toward the optimization of fire management measures. In this paper, we propose a multivariate method for identifying and spatially portraying fire ignition risk across a complex and heterogeneous landscape such as the National Park of Cilento, Vallo di Diano, and Alburni (southern Italy). The proposed approach consists first in calculating the fire selectivity of several landscape features that are usually related to fire ignition, such as land cover or topography. Next, the fire selectivity values of single landscape features are combined with multivariate segmentation tools. The resulting fire risk map may constitute a valuable tool for optimizing fire prevention strategies and for efficiently allocating fire fighting resources