Arica, Peru [Nowchile]
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Regiones Extremas Chilenas Y Su Invisibilidad Económica*
Volumen XIV / N° 2 / julio-diciembre 2014 / pp. 187-216 Regiones extremas chilenas y su invisibilidad económica* Economic invisibility of Chile’s end regions Sergio Soza-Amigo** Universidad de Magallanes, Punta Arenas, Chile Loreto Correa*** Academia Nacional de Estudios Políticos y Estratégicos, Santiago, Chile Recibido: 23 de diciembre de 2013. Aprobado: 18 de agosto de 2014. Resumen En este artículo se constata que las zonas extremas de Chile no poseen una estructura que viabilice un modelo de desarrollo homogéneo respecto a las demás regiones, y que dichas diferencias se manifiestan en sus composiciones demográficas y económicas. La hipótesis central de este trabajo es que las regiones extremas del norte y sur-austral son prácticamente invisibles en el contexto económico nacional. Además, se advierte a través de un análisis input-output, que en el desarrollo endógeno de ambas regiones extremas, Arica y Parinacota no es capaz de generar recursos para satisfacer sus propias necesida- des de desarrollo, y que Magallanes y Antártica Chilena al menos ha construido su base económica de manera más formal y diversificada. Palabras clave: regiones extremas, Chile, siglo XXI. * Se reconocen y agradecen los financiamientos entregados por Fondecyt, por medio del proyecto N° 1120405: “Entre el conflicto y el aislamiento: desarrollo, gobernabilidad y seguridad en las zonas fronterizas del norte y el sur de Chile a comienzos del siglo XXI”, así como la colaboración de la licenciada Cinthia Avellaneda Vera. Informamos que una versión preliminar y complementaria de esta investigación fue publicada en la Revista ESD (“Políticas públicas y gobernabilidad en las zonas extremas de Chile 2010-2012”, 1, 17-42) y en XIV Reunión de Economía Mundial, Universidad de Jaen, España, 2011. -
Redalyc.Aa from Lomas Formations. a New Orchidaceae Record from The
Lankesteriana International Journal on Orchidology ISSN: 1409-3871 [email protected] Universidad de Costa Rica Costa Rica Trujillo, Delsy; Delgado Rodríguez, Amalia Aa from lomas formations. A new Orchidaceae record from the desert coast of Peru Lankesteriana International Journal on Orchidology, vol. 11, núm. 1, abril, 2011, pp. 33-38 Universidad de Costa Rica Cartago, Costa Rica Available in: http://www.redalyc.org/articulo.oa?id=44339820005 How to cite Complete issue Scientific Information System More information about this article Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Journal's homepage in redalyc.org Non-profit academic project, developed under the open access initiative LANKESTERIANA 11(1): 33—38. 2011. AA FROM LOMAS FORmatIONS. A NEW ORCHIDACEAE RECORD FROM THE DESERT COAST OF PERU DELSY TRUJILLO1,3 and AMALIA DELGADO RODRÍGUEZ2 1 Research Associate, Herbario MOL, Facultad de Ciencias Forestales, Universidad Nacional Agraria La Molina. Av. La Universidad s/n. La Molina. Apartado 12-056 - Lima, Perú. 2 Laboratorio de Dicotiledóneas. Museo de Historia Natural, Universidad Nacional Mayor de San Marcos. Av. Arenales 1256. Jesús María - Lima, Perú. 3 Corresponding author: [email protected] ABSTRACT. Orchid species of the genus Aa have been described as mostly restricted to high elevations zones in the Andes and mountains of Costa Rica. Here, we record populations of Aa weddelliana at lower elevations in lomas formations from the desert coast of Peru; this is the fourth species of Orchidaceae registered in Peruvian lomas. Furthermore, we illustrate and discuss some floral features ofAa weddelliana. RESUMEN. Las especies del género Aa han sido descritas como orquídeas restringidas generalmente a zonas altas de los Andes y montañas de Costa Rica. -
Chile Doing As the “Gateway”? Can It Strengthen This Function? How? 2
11 DISTRIBUTION AND LOGISTICS This chapter will focus on two main subjects: 1. “Gateway”—How is Chile doing as the “gateway”? Can it strengthen this function? How? 2. Logistics for export and import—How are goods transported and distributed in Chile? What are remaining problems? The first subject will place Chile in the international perspectives. The second subject will concentrate on Chile’s domestic systems. 11.1 Chile as the “Gateway”: International Distribution 11.1.1 International Cargo Movements through the “Gateway” Chile’s function as the “gateway” is already a real one though it is still limited in terms of cargo volume. Figure 11.1.1 is reproduced here (originally Figure 10.2.6, Chapter 10) to indicate the extent of that function. As is seen, transit cargos as a whole only account for a fraction of total international movements.1 It is also evident that most of the transit cargos go through the North Zone, to and from Bolivia primarily. The annual total volume of transit cargos (880,000 tons westbound and 510,000 tons eastbound) may be still insignificant compared with Chile’s total handling volumes. Nonetheless, this present picture clearly illustrates a promising possibility that Chile should pursue: its “gateway” function can expand further. To demonstrate this, Chile’s current position in the international distribution and transportation networks particularly with neighboring countries will be reviewed in following sections. 11.1.2 Macro-Region Andina “Macro-region Andina” is a notion proposed and pursued by authorities concerned in Region I. Without any definite boundaries, it roughly covers an area encompassing the southern part of Peru, most of Bolivia, northern part of Argentina, part of Paraguay, and the states of Mato Grosso and Mato Grosso do Sul of Brazil. -
Contents Contents
Traveler’s Guide WILDLIFE WATCHINGTraveler’s IN PERU Guide WILDLIFE WATCHING IN PERU CONTENTS CONTENTS PERU, THE NATURAL DESTINATION BIRDS Northern Region Lambayeque, Piura and Tumbes Amazonas and Cajamarca Cordillera Blanca Mountain Range Central Region Lima and surrounding areas Paracas Huánuco and Junín Southern Region Nazca and Abancay Cusco and Machu Picchu Puerto Maldonado and Madre de Dios Arequipa and the Colca Valley Puno and Lake Titicaca PRIMATES Small primates Tamarin Marmosets Night monkeys Dusky titi monkeys Common squirrel monkeys Medium-sized primates Capuchin monkeys Saki monkeys Large primates Howler monkeys Woolly monkeys Spider monkeys MARINE MAMMALS Main species BUTTERFLIES Areas of interest WILD FLOWERS The forests of Tumbes The dry forest The Andes The Hills The cloud forests The tropical jungle www.peru.org.pe [email protected] 1 Traveler’s Guide WILDLIFE WATCHINGTraveler’s IN PERU Guide WILDLIFE WATCHING IN PERU ORCHIDS Tumbes and Piura Amazonas and San Martín Huánuco and Tingo María Cordillera Blanca Chanchamayo Valley Machu Picchu Manu and Tambopata RECOMMENDATIONS LOCATION AND CLIMATE www.peru.org.pe [email protected] 2 Traveler’s Guide WILDLIFE WATCHINGTraveler’s IN PERU Guide WILDLIFE WATCHING IN PERU Peru, The Natural Destination Peru is, undoubtedly, one of the world’s top desti- For Peru, nature-tourism and eco-tourism repre- nations for nature-lovers. Blessed with the richest sent an opportunity to share its many surprises ocean in the world, largely unexplored Amazon for- and charm with the rest of the world. This guide ests and the highest tropical mountain range on provides descriptions of the main groups of species Pthe planet, the possibilities for the development of the country offers nature-lovers; trip recommen- bio-diversity in its territory are virtually unlim- dations; information on destinations; services and ited. -
The Moment Magnitude and the Energy Magnitude: Common Roots
The moment magnitude and the energy magnitude : common roots and differences Peter Bormann, Domenico Giacomo To cite this version: Peter Bormann, Domenico Giacomo. The moment magnitude and the energy magnitude : com- mon roots and differences. Journal of Seismology, Springer Verlag, 2010, 15 (2), pp.411-427. 10.1007/s10950-010-9219-2. hal-00646919 HAL Id: hal-00646919 https://hal.archives-ouvertes.fr/hal-00646919 Submitted on 1 Dec 2011 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Click here to download Manuscript: JOSE_MS_Mw-Me_final_Nov2010.doc Click here to view linked References The moment magnitude Mw and the energy magnitude Me: common roots 1 and differences 2 3 by 4 Peter Bormann and Domenico Di Giacomo* 5 GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany 6 *Now at the International Seismological Centre, Pipers Lane, RG19 4NS Thatcham, UK 7 8 9 Abstract 10 11 Starting from the classical empirical magnitude-energy relationships, in this article the 12 derivation of the modern scales for moment magnitude M and energy magnitude M is 13 w e 14 outlined and critically discussed. The formulas for Mw and Me calculation are presented in a 15 way that reveals, besides the contributions of the physically defined measurement parameters 16 seismic moment M0 and radiated seismic energy ES, the role of the constants in the classical 17 Gutenberg-Richter magnitude-energy relationship. -
Relation of Slow Slip Events to Subsequent Earthquake Rupture
Earthquake and tsunami forecasts: Relation of slow slip events to subsequent earthquake rupture Timothy H. Dixona,1, Yan Jiangb, Rocco Malservisia, Robert McCaffreyc, Nicholas Vossa, Marino Prottid, and Victor Gonzalezd aSchool of Geosciences, University of South Florida, Tampa, FL 33620; bPacific Geoscience Centre, Geological Survey of Canada, BC, Canada V8L 4B2; cDepartment of Geology, Portland State University, Portland, OR 97201; and dObservatorio Vulcanológico y Sismológico de Costa Rica, Universidad Nacional, Heredia 3000, Costa Rica Edited* by David T. Sandwell, Scripps Institution of Oceanography, La Jolla, CA, and approved October 24, 2014 (received for review June 30, 2014) The 5 September 2012 Mw 7.6 earthquake on the Costa Rica sub- Geologic and Seismic Background duction plate boundary followed a 62-y interseismic period. High- The Nicoya Peninsula forms the western edge of the Caribbean precision GPS recorded numerous slow slip events (SSEs) in the plate, where the Cocos plate subducts beneath the Caribbean decade leading up to the earthquake, both up-dip and down-dip plate along the Middle American Trench at about 8 cm/y (3). The of seismic rupture. Deeper SSEs were larger than shallower ones region has a well-defined earthquake cycle, with large (M > 7) and, if characteristic of the interseismic period, release most lock- earthquakes in 1853, 1900, 1950 (M 7.7), and most recently 5 ing down-dip of the earthquake, limiting down-dip rupture and September 2012 (Mw 7.6). Smaller (M ∼ 7) events in 1978 and earthquake magnitude. Shallower SSEs were smaller, accounting 1990 have also occurred nearby (4). Large tsunamis have not for some but not all interseismic locking. -
Fully-Coupled Simulations of Megathrust Earthquakes and Tsunamis in the Japan Trench, Nankai Trough, and Cascadia Subduction Zone
Noname manuscript No. (will be inserted by the editor) Fully-coupled simulations of megathrust earthquakes and tsunamis in the Japan Trench, Nankai Trough, and Cascadia Subduction Zone Gabriel C. Lotto · Tamara N. Jeppson · Eric M. Dunham Abstract Subduction zone earthquakes can pro- strate that horizontal seafloor displacement is a duce significant seafloor deformation and devas- major contributor to tsunami generation in all sub- tating tsunamis. Real subduction zones display re- duction zones studied. We document how the non- markable diversity in fault geometry and struc- hydrostatic response of the ocean at short wave- ture, and accordingly exhibit a variety of styles lengths smooths the initial tsunami source relative of earthquake rupture and tsunamigenic behavior. to commonly used approach for setting tsunami We perform fully-coupled earthquake and tsunami initial conditions. Finally, we determine self-consistent simulations for three subduction zones: the Japan tsunami initial conditions by isolating tsunami waves Trench, the Nankai Trough, and the Cascadia Sub- from seismic and acoustic waves at a final sim- duction Zone. We use data from seismic surveys, ulation time and backpropagating them to their drilling expeditions, and laboratory experiments initial state using an adjoint method. We find no to construct detailed 2D models of the subduc- evidence to support claims that horizontal momen- tion zones with realistic geometry, structure, fric- tum transfer from the solid Earth to the ocean is tion, and prestress. Greater prestress and rate-and- important in tsunami generation. state friction parameters that are more velocity- weakening generally lead to enhanced slip, seafloor Keywords tsunami; megathrust earthquake; deformation, and tsunami amplitude. -
Rapid Identification of Tsunamigenic Earthquakes Using GNSS
www.nature.com/scientificreports OPEN Rapid identifcation of tsunamigenic earthquakes using GNSS ionospheric sounding Fabio Manta1,2,4*, Giovanni Occhipinti 3,4, Lujia Feng 1 & Emma M. Hill 1,2 The largest tsunamis are generated by seafoor uplift resulting from rupture of ofshore subduction- zone megathrusts. The rupture of the shallowest part of a megathrust often produces unexpected outsize tsunami relative to their seismic magnitude. These are so called ‘tsunami earthquakes’, which are difcult to identify rapidly using the current tsunami warning systems, even though, they produce some of the deadliest tsunami. We here introduce a new method to evaluate the tsunami risk by measuring ionospheric total electron content (TEC). We examine two Mw 7.8 earthquakes (one is a tsunami earthquake and the other is not) generated in 2010 by the Sunda megathrust, ofshore Sumatra, to demonstrate for the frst time that observations of ionospheric sounding from Global Navigation Satellite System (GNSS) can be used to evaluate the tsunamigenic potential of earthquakes as early as 8 min after the mainshock. ‘Tsunami earthquakes’, as originally defned by Kanamori 1, are events generating tsunami with larger amplitude than expected from their seismic magnitude. Most tsunami earthquakes are generated by high levels of slip on the shallow megathrust, which results in large seafoor uplifs and hence very dangerous tsunami. Te shallow location of the slip—close to the subduction trench—means that the ruptures generating tsunami earthquakes are at signifcant distance from land-based monitoring networks, limiting our ability to quickly and accurately assess their magnitude and source parameters. Conventional approaches using various seismological methods2–4 or rapid inversion of GNSS (Global Navigation Satellite System) estimates of ground motion5 regularly encounter difculties in accurately estimating the uplif of the seafoor and consequently fail in predicting the tsunamigenic nature of tsunami earthquakes. -
The Impact of ENSO in the Atacama Desert and Australian Arid Zone: Exploratory Time-Series Analysis of Archaeological Records
Chungara, Revista de Antropología Chilena ISSN: 0716-1182 [email protected] Universidad de Tarapacá Chile Williams, Alan; Santoro, Calogero M.; Smith, Michael A.; Latorre, Claudio The impact of ENSO in the Atacama desert and Australian arid zone: exploratory time-series analysis of archaeological records Chungara, Revista de Antropología Chilena, vol. 40, 2008, pp. 245-259 Universidad de Tarapacá Arica, Chile Available in: http://www.redalyc.org/articulo.oa?id=32609903 How to cite Complete issue Scientific Information System More information about this article Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Journal's homepage in redalyc.org Non-profit academic project, developed under the open access initiative The impact of ENSO in the Atacama Desert and Australian arid zone:Volumen Exploratory 40 Número time-series Especial, analysis… 2008. Páginas 245-259245 Chungara, Revista de Antropología Chilena THE IMPACT OF ENSO IN THE ATACAMA DESERT AND AUSTRALIAN ARID ZONE: EXPLORATORY TIME-SERIES ANALYSIS OF ARCHAEOLOGICAL RECORDS1 EL IMPACTO DE ENSO EN EL DESIERTO DE ATACAMA Y LA ZONA ÁRIDA DE AUSTRALIA: ANÁLISIS EXPLORATORIOS DE SERIES TEMPORALES ARQUEOLÓGICAS Alan Williams2, Calogero M. Santoro3, Michael A. Smith4, and Claudio Latorre5 A comparison of archaeological data in the Atacama Desert and Australian arid zone shows the impact of the El Niño-Southern Oscillation (ENSO) over the last 5,000 years. Using a dataset of > 1400 radiocarbon dates from archaeological sites across the two regions as a proxy for population change, we develop radiocarbon density plots, which are then used to explore the responses of these prehistoric populations to ENSO climatic variability. -
República Del Perú Sistema De Lomas Costeras
REPÚBLICA DEL PERÚ SISTEMA DE LOMAS COSTERAS FORMULARIO DE PRESENTACIÓN LISTA INDICATIVA Lima, mayo 2019 Formulario de Presentación Lista Indicativa Anexo 2A INDICATIVE LIST SUBMISSION FORMAT GOVERMENT PARTNER: Perú DATE OF SUMISSION: May 2019 Propuesta preparada por: Nombre: Correo electrónico: Pedro Gamboa Moquillaza – Jefe del SERNANP [email protected] Dirección: Calle diecisiete 355 – Urb. El Palomar, San Isidro Fax: Institución: Teléfono: Servicio Nacional de Áreas Naturales Protegidas (511) 717-7520 por el Estado – SERNANP Nombre del Bien: Sistema de Lomas Costeras de Perú Estado, Provincia o Región: Perú. Lima- Arequipa: Latitud y Longitud, o coordenadas UTM: Reserva Nacional de Lachay: -11.374125 E y -77.361712 N Zona Reservada Lomas de Ancón: -11.681363 E y -77.100667 N Área de Conservación Privada Atiquipa: -15.741670 E y -74.380691 N DESCRIPCIÓN El sistema de lomas costeras en el Perú, se distribuye a lo largo de la costa peruana, desde Tacna hasta La Libertad, que son aproximadamente 51 lomas, en esta ocasión se ha tenido en cuenta las lomas que están legalmente reconocidas por el estado, como son: la Reserva Nacional de Lachay, Zona Reservada Lomas de Ancón y el Área de Conservación Privada Lomas de Atiquipa, las dos primeras administradas por el Servicio Nacional de Áreas Naturales Protegidas por el Estado-SERNANP, en Lima y las Lomas de Atiquipa administrada por la Comunidad Campesina de Atiquipa, en Arequipa. La Reserva Nacional de Lachay, fue reconocida por el estado peruano, el 21 de junio del 1977, por Decreto Supremo N° 310-77-AG, se ubica en el departamento de Lima, provincia de Chancay, la Zona Reservada Lomas de Ancón fue establecida el 11 de octubre del 2010, por Resolución Ministerial N° 189-2010-MINAM, se ubica en el departamento de Lima, provincia de Lima y el Área de Conservación Privada Lomas de Atiquipa fue reconocida el 26 de julio del 2011, por Resolución Ministerial N° 165-2011-MINAM, se ubica en el departamento de Arequipa, provincia de Caravelí. -
The Influence of El Niño Southern Oscillation (ENSO) on Fog Oases Along the Peruvian and Chilean Coastal Deserts
5th International Conference on Fog, Fog Collection and Dew Münster, Germany, 25–30 July 2010 FOGDEW2010-75 c Author(s) 2010 The influence of El Niño Southern Oscillation (ENSO) on fog oases along the Peruvian and Chilean coastal deserts. R. Manrique (1), C. Ferrari (1,2) and G. Pezzi (1,2) (1) Plant Ecology Laboratory, University of Bologna, Via Irnerio 42, 40126 (Bologna), (2) Research Centre on Environmental Sciences (CIRSA), via S.Alberto 163-I, 48123 (Ravenna), Italy ([email protected]) Abstract during EN, increase primary productivity [33]. This could support the hypothesis that EN-like conditions Fog oases such as Lomas formation along the in the past might have encouraged a continuous belt Chilean and Peruvian coasts are dependent on water of vegetation along the Peruvian and Chilean coasts, inputs from oceanic fog. Vegetation is characterized but the enlarge of desertification fragmented such by a marked seasonality which is often affected by continuum [24,38]. We believed that continuous climatic oscillations. Plant diversity and vegetation ENSO conditions may affect the lomas vegetation patterns are highly variable because of their increasing their extension and connectivity, fragmented spatial distribution. We hypothesize that especially in rainy years. ENSO could have influenced the spatial distribution of Lomas plant species. In particular we focus on two To establish whether ENSO can influence the spatial aspects: 1. The climate variables related to ENSO distribution of lomas plant species we review two which likely affect the fog production and 2. The main aspects: 1. The climate variables related to responses of Lomas vegetation to climate patterns ENSO event which likely affect fog production and 2. -
A Test for the Mediterranean Tsunami Warning System Mohammad Heidarzadeh1* , Ocal Necmioglu2 , Takeo Ishibe3 and Ahmet C
Heidarzadeh et al. Geosci. Lett. (2017) 4:31 https://doi.org/10.1186/s40562-017-0097-0 RESEARCH LETTER Open Access Bodrum–Kos (Turkey–Greece) Mw 6.6 earthquake and tsunami of 20 July 2017: a test for the Mediterranean tsunami warning system Mohammad Heidarzadeh1* , Ocal Necmioglu2 , Takeo Ishibe3 and Ahmet C. Yalciner4 Abstract Various Tsunami Service Providers (TSPs) within the Mediterranean Basin supply tsunami warnings including CAT-INGV (Italy), KOERI-RETMC (Turkey), and NOA/HL-NTWC (Greece). The 20 July 2017 Bodrum–Kos (Turkey–Greece) earth- quake (Mw 6.6) and tsunami provided an opportunity to assess the response from these TSPs. Although the Bodrum– Kos tsunami was moderate (e.g., runup of 1.9 m) with little damage to properties, it was the frst noticeable tsunami in the Mediterranean Basin since the 21 May 2003 western Mediterranean tsunami. Tsunami waveform analysis revealed that the trough-to-crest height was 34.1 cm at the near-feld tide gauge station of Bodrum (Turkey). Tsunami period band was 2–30 min with peak periods at 7–13 min. We proposed a source fault model for this tsunami with the length and width of 25 and 15 km and uniform slip of 0.4 m. Tsunami simulations using both nodal planes produced almost same results in terms of agreement between tsunami observations and simulations. Diferent TSPs provided tsunami warnings at 10 min (CAT-INGV), 19 min (KOERI-RETMC), and 18 min (NOA/HL-NTWC) after the earthquake origin time. Apart from CAT-INGV, whose initial Mw estimation difered 0.2 units with respect to the fnal value, the response from the other two TSPs came relatively late compared to the desired warning time of ~ 10 min, given the difculties for timely and accurate calculation of earthquake magnitude and tsunami impact assessment.