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Journal ArticleDOI

Impact of the 2010–2011 La Niña phenomenon in Colombia, South America: The human toll of an extreme weather event

TLDR
In this article, the authors analyzed the spatial patterns of effects on the population, measured as the number of affected persons in each municipality normalized to the total municipal population for 2011, using global (Moran's I index) and local (LISA) spatial autocorrelation indicators, and multiple regression analyses (OLS and ML spatial error model).
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This article is published in Applied Geography.The article was published on 2013-05-01. It has received 119 citations till now. The article focuses on the topics: Population & Spatial ecology.

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An optimization framework for the integrated planning of generation and transmission expansion in interconnected power systems

TL;DR: In this article, a comprehensive optimization framework for the design and planning of interconnected power systems, including the integration of generation and transmission capacity expansion planning, is presented, which considers renewable energies, carbon capture and sequestration (CCS) technologies, demand-side management (DSM), as well as reserve and CO2 emission constraints.
Journal ArticleDOI

Recent deforestation causes rapid increase in river sediment load in the Colombian Andes

TL;DR: In this article, the cumulative impacts of tropical forest loss on soil erosion and sediment production, availability, and the transport capacity of Andean rivers are estimated using a scaling model BQART.
Journal ArticleDOI

Toward continental hydrologic–hydrodynamic modeling in South America

TL;DR: In this paper, the authors extended a regional, fully coupled hydrologic-hydrodynamic model (MGB; Modelo hidrologico de Grandes Bacias) to the continental domain of South America and assessed its performance using daily river discharge, water levels from independent sources (in situ, satellite altimetry), estimates of terrestrial water storage (TWS) and evapotranspiration (ET) from remote sensing and other available global datasets.
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Freshwater discharge into the Caribbean Sea from the rivers of Northwestern South America (Colombia): Magnitude, variability and recent changes

TL;DR: In this paper, the authors analyzed the monthly averaged discharge data from ten rivers in northern Colombia (Caribbean alluvial plain) draining into the Caribbean Sea to quantify the magnitudes, estimate long-term trends, and evaluate the variability of discharge patterns.
References
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Climate change 2007: the physical science basis

TL;DR: The first volume of the IPCC's Fourth Assessment Report as mentioned in this paper was published in 2007 and covers several topics including the extensive range of observations now available for the atmosphere and surface, changes in sea level, assesses the paleoclimatic perspective, climate change causes both natural and anthropogenic, and climate models for projections of global climate.
Journal ArticleDOI

Local Indicators of Spatial Association—LISA

TL;DR: In this paper, a new general class of local indicators of spatial association (LISA) is proposed, which allow for the decomposition of global indicators, such as Moran's I, into the contribution of each observation.
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Social Vulnerability to Environmental Hazards

TL;DR: The Social Vulnerability Index (SoVI) as discussed by the authors is an index of social vulnerability to environmental hazards based on county-level socioeconomic and demographic data collected from the United States in 1990.
Book ChapterDOI

Intergovernmental Panel on Climate Change (IPCC)

TL;DR: The Intergovernmental Panel on Climate Change (IPCC) as mentioned in this paper has become a key framework for the exchange of scientific dialogue on climate change within the scientific community as well as across the science and policy arenas.
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Temporal and spatial changes in social vulnerability to natural hazards

TL;DR: Empirical evidence is presented on the spatial and temporal patterns in social vulnerability in the United States from 1960 to the present to find that those components that consistently increased social vulnerability for all time periods were density (urban), race/ethnicity, and socioeconomic status.
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