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Since the devastating southern Africa drought of 1991/92 awareness has grown of the potential to better manage climate variability in the region through seasonal climate forecasting and monitoring of El Niño and the Southern Oscillation (ENSO). While other factors besides ENSO affect southern Africa's climate, and climate forecasting for the region is not based exclusively on ENSO, a major El Niño beginning in 1997 captured the attention of policy-makers and the public. Awareness of drought risks associated with the 1997/98 event was greater than during previous El Niños in 1991/92 and 1994/95. Mitigation and planning efforts also began earlier, with drought early warnings widely available and being taken seriously prior to the 1997/98 agricultural season. Actions taken include issuance of guidance to the public, on-going monitoring and preparedness efforts including the development of national preparedness plans in some countries, pre-positioning of food stocks, donor coordination, and greater reliance on the private-sector for meeting regional food needs. Although 1998 regional crop production was slightly below average, a major drought did not materialize. Nonetheless the experience is likely to ultimately strengthen capacity within the region to manage climate variability over the long term.  相似文献   
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A comparison of selected global disaster risk assessment results   总被引:1,自引:0,他引:1  
We compare country risk rankings derived from two recently published global disaster risk analyses. One set of country rankings is based on the Disaster Risk Index (DRI) developed by the United Nations Environment Program (UNEP) Division of Early Warning and Assessment Global Resource Information Database project under a contract to the United Nations Development Program (UNDP). The other is based on an index of disaster mortality risk developed by the Global Natural Disaster Risk Hotspots project implemented by Columbia University, the World Bank and associated partners. We convert data from these sources into two comparable indexes of disaster mortality risk and rank countries according to the resulting values for a set of natural hazards common to both studies. The country rankings are moderately correlated, ranging from .41 to .56 for individual hazards to .31 for multi-hazard mortality risks. We identify the top 25 countries according to the mortality risk values we recomputed from each study’s results to show the degree to which countries are highly ranked in common. The numbers of countries common to both lists for individual hazards range from 7 to 16 out of 25. The correspondence among the top 25 ranked countries is lowest for earthquakes and floods. Only 6 out of 25 countries are common to both lists in the multi-hazard case. We suggest that while the convergence in the results for some hazards is encouraging, more work is needed to improve data and methods, particularly with respect to assessing the role of vulnerability in the creation of risk and the calculation of multi-hazard risks. The views expressed are the authors’ and do not necessarily reflect those of SM2 Consulting Multi-Hazards and Risk Holistic Solutions or the United Nations Development Program.  相似文献   
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Livelihoods and household food security in the Southern African region can be extremely vulnerable to the negative effects of climate stress as shown by the 2002–2004 ‘complex emergency.’ Climate prediction may prove a valuable resource in mitigating these effects. If climate prediction is applied successfully, it may be able to help guide responses in populations at risk to reduce vulnerability to climate stress. The study presented here seeks to understand what would constitute an improved role for climate prediction in contributing to sustaining agricultural production and food security in Southern Africa. Investigation undertaken during the 2002/2003 rainy season under regional conditions of elevated disaster risk shows, however, that a number of weaknesses and gaps persistently characterize climate information systems in the Southern African region, and constrain such systems’ ability to benefit key sectors, particularly agriculture. The stakeholder identification of such gaps forms the basis for distilling concrete recommendations to improve process and organizational efficiency. Such recommendations, while developmental, should better enable institutions and stakeholders involved in climate prediction to fulfill their potential in supporting development of successful adaptation strategies in populations and sectors at risk.  相似文献   
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