Multi-temporal assessment of vulnerability to climate change: insights from the agricultural sector in Mexico     

Alejandro Ismael Monterroso-Rivas  Ana Cecilia Conde-Álvarez  José Luís Pérez-Damian  Jorge López-Blanco  Marcos Gaytan-Dimas  Jesús David Gómez-Díaz 《Climatic change》2018,147(3-4):457-473

Vulnerability to climate change was evaluated for three different time periods: 1990, 2000, and 2010. Our objective was to discuss the scope of a multi-temporal assessment of vulnerability. The method used 55 indicators—with emphasis on the agricultural sector in Mexico—of which 27 were updated for the year 2010 and 33 were retrospectively estimated for the year 1990. The results show that in the 20-year study period, the exposure of the municipalities (and inhabitants) has increased, and sensitivity and adaptive capacity have decreased. The number of municipalities vulnerable to climate change declined over the 20-year period. We found that calculating vulnerability by adding exposure and sensitivity and subtracting adaptive capacity (E?+?S???AC) can lead to unintentional underestimation of total vulnerability. When rating vulnerability, care must be taken in what is reported: the results differ for the number of inhabitants versus the number of municipalities. Our previous published vulnerability evaluation was for the year 2000, so we wanted to evaluate the sensitivity of some variables and the vulnerability formula itself we used in that moment. It is possible to evaluate the vulnerability multi-temporally, which allows to evaluate the sensibility and calibration of the variables and indicators used and the reconsideration of their application.  相似文献   

Preface     

Elisabeth Krausmann  Ana Maria Cruz 《Natural Hazards》2008,45(2):139-143

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Coupled thermo-hydro-chemical models of compacted bentonite after FEBEX in situ test     

Javier Samper  Liange Zheng  Luis Montenegro  Ana María Fernández  Pedro Rivas 《Applied Geochemistry》2008

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Dolomite in caves: Recent dolomite formation in oxic, non-sulfate environments. Castañar Cave, Spain     

Ana M. Alonso-Zarza  Andrea Martín-Prez 《Sedimentary Geology》2008,205(3-4):160-164

Dolomite is a common mineral in the rock record but rare in recent superficial environments. Where it does occur, it is related to anoxic, sulfate-rich environments and microbial activity. The occurrence of some dolomite deposits in caves, however, indicates that dolomite formation is also possible in oxic, non-sulfate settings. Dolomite is forming at 17 °C and in oxic-vadose conditions on the host rocks and aragonite speleothems of the Castañar Cave, Cáceres, Spain. It appears as spheroids and dumbbells 50–300 μm in diameter that internally consist of micron-sized rhombic to rounded crystals. Initially this dolomite is Ca-rich, non-stoichiometric and poorly ordered. Mg-rich solutions allow the precipitation of metastable Mg-rich carbonates, such as huntite. This soon transforms into this Ca-rich dolomite, which later “ages” to form a more stoichiometric dolomite. These dolomites show similarities to those grown under anoxic, sulfate-rich conditions and their presence in caves provides a different setting that may contribute to the understanding of the “dolomite problem”, including their initial formation and later recrystallization processes.  相似文献   

Galileo Constellation Design   总被引：2，自引：0，他引：2  

Álvaro Mozo-García  Esperanza Herráiz-Monseco  Ana Belén Martín-Peiró  Miguel M. Romay-Merino 《GPS Solutions》2001,4(4):9-15

A significant effort has been carried out in Europe to define the European Global Navigation Satellite System (GNSS), named Galileo Satellites flying in Medium Earth Orbits (MEO) will compose the system (according to the most recent architecture definition baseline); a regional complement of geosynchronous satellites may be required to increase performances over Europe and maybe also to provide some specific communication services. Nominal medium performances are envisaged, but they will be increased by means of augmentation systems (local or wide area), or even by using simultaneously other GNSSs such as GPS. All the involved requirements make the design process quite complex. A powerful software tool, Elcano, has been developed for this purpose; its capabilities will be outlined, and the results of the design process will be presented. ? 2001 John Wiley & Sons, Inc.  相似文献   

Nitrogen Uptake and Internal Recycling in <Emphasis Type="Italic">Zostera marina</Emphasis> Exposed to Oyster Farming: Eelgrass Potential as a Natural Biofilter     

Jose?Sandoval-Gil  Ana?Alexandre  Rui?Santos  Víctor?F.?Camacho-IbarEmail author 《Estuaries and Coasts》2016,39(6):1694-1708

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Arsenic from gold mining in marine and stream sediments in Baja California Sur,Mexico     

Ivonne H. Posada-Ayala  Janette M. Murillo-Jiménez  Evgeni Shumilin  Ana J. Marmolejo-Rodríguez  Enrique H. Nava-Sánchez 《Environmental Earth Sciences》2016,75(11):996

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Long-term changes in the frequency,intensity and duration of extreme storm surge events in southern Europe     

Alba Cid  Melisa Menéndez  Sonia Castanedo  Ana J. Abascal  Fernando J. Méndez  Raúl Medina 《Climate Dynamics》2016,46(5-6):1503-1516

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Real-time genetic spatial optimization to improve forest fire spread forecasting in high-performance computing environments     

Tomàs Artés  Andrés Cencerrado  Ana Cortés  Tomàs Margalef 《International journal of geographical information science》2016,30(3):594-611

Abstract

Forest fires are a kind of natural hazard with a high number of occurrences in southern European countries. To avoid major damages and to improve forest fire management, one can use forest fire spread simulators to predict fire behavior. When providing forest fire predictions, there are two main considerations: accuracy and computation time. In the context of natural hazards simulation, it is well known that part of the final forecast error comes from uncertainty in the input data. These data typically consist of a set of GIS files, which should be appropriately conflated. For this reason, several input data calibration methods have been developed by the scientific community. In this work, the Two-Stage calibration methodology, which has been shown to provide good results, is used. This calibration strategy is computationally intensive and time-consuming because it uses a Genetic Algorithm as a solution. Taking into account the aspect of urgency in forest fire spread prediction, it is necessary to maintain a balance between accuracy and the time needed to calibrate the input parameters. In order to take advantage of this technique, one must deal with the problem that some of the obtained solutions are impractical, since they involve simulation times that are too long, preventing the prediction system from being deployed at an operational level. A new method which finds the minimum resolution reduction for such long simulations, keeping accuracy loss to a known interval, is proposed. The proposed improvement is based on a time-aware core allocation policy that enables real-time forest fire spread forecasting. The final prediction system is a cyberinfrastructure, which enables forest fire spread prediction at real time.  相似文献   

Population structure of Merluccius merluccius along the Iberian Peninsula coast     

Castillo  Ana G.F.; Alvarez  Paula; Garcia-Vazquez  Eva 《ICES Journal of Marine Science》2005,62(8):1699-1704

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