Planning for food and nutrition security in Egypt: social, economic, and political considerations

Low-income consumers, who are the majority of the population, may spend a large part of their income, in some cases all of it, on food; yet they are unable to afford a nutritionally adequate diet. Hence, a policy aimed at reducing the food gap may require more than a simple increase in agricultural production. This study tests a hypothesis for developing agricultural production guided by the nutritional requirements of the Egyptian population for the major food products. The study used two alternative target levels of food self-sufficiency. The first would be to maintain the self-sufficiency ratio at its level during the base period 1976-1980. The second would be to increase the self-sufficiency ratio so as to decrease the relative amount of food imports by the year 2000 to one-half their level during the base period from Authors

Planning for food and nutrition security in Egypt: social, economic, and political considerations

Low-income consumers, who are the majority of the population, may spend a large part of their income, in some cases all of it, on food; yet they are unable to afford a nutritionally adequate diet. Hence, a policy aimed at reducing the food gap may require more than a simple increase in agricultural production. This study tests a hypothesis for developing agricultural production guided by the nutritional requirements of the Egyptian population for the major food products. The study used two alternative target levels of food self-sufficiency. The first would be to maintain the self-sufficiency ratio at its level during the base period 1976-1980. The second would be to increase the self-sufficiency ratio so as to decrease the relative amount of food imports by the year 2000 to one-half their level during the base period from Authors

Towards an end-to-end analysis and prediction system for weather, climate, and Marine applications in the Red Sea

AbstractThe Red Sea, home to the second-longest coral reef system in the world, is a vital resource for the Kingdom of Saudi Arabia. The Red Sea provides 90% of the Kingdom’s potable water by desalinization, supporting tourism, shipping, aquaculture, and fishing industries, which together contribute about 10%–20% of the country’s GDP. All these activities, and those elsewhere in the Red Sea region, critically depend on oceanic and atmospheric conditions. At a time of mega-development projects along the Red Sea coast, and global warming, authorities are working on optimizing the harnessing of environmental resources, including renewable energy and rainwater harvesting. All these require high-resolution weather and climate information. Toward this end, we have undertaken a multipronged research and development activity in which we are developing an integrated data-driven regional coupled modeling system. The telescopically nested components include 5-km- to 600-m-resolution atmospheric models to address weather and climate challenges, 4-km- to 50-m-resolution ocean models with regional and coastal configurations to simulate and predict the general and mesoscale circulation, 4-km- to 100-m-resolution ecosystem models to simulate the biogeochemistry, and 1-km- to 50-m-resolution wave models. In addition, a complementary probabilistic transport modeling system predicts dispersion of contaminant plumes, oil spill, and marine ecosystem connectivity. Advanced ensemble data assimilation capabilities have also been implemented for accurate forecasting. Resulting achievements include significant advancement in our understanding of the regional circulation and its connection to the global climate, development, and validation of long-term Red Sea regional atmospheric–oceanic–wave reanalyses and forecasting capacities. These products are being extensively used by academia, government, and industry in various weather and marine studies and operations, environmental policies, renewable energy applications, impact assessment, flood forecasting, and more.</jats:p

Towards an end-to-end analysis and prediction system for weather, climate, and marine applications in the Red Sea

Author Posting. © American Meteorological Society, 2021. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Bulletin of the American Meteorological Society 102(1), (2021): E99-E122, https://doi.org/10.1175/BAMS-D-19-0005.1.The Red Sea, home to the second-longest coral reef system in the world, is a vital resource for the Kingdom of Saudi Arabia. The Red Sea provides 90% of the Kingdom’s potable water by desalinization, supporting tourism, shipping, aquaculture, and fishing industries, which together contribute about 10%–20% of the country’s GDP. All these activities, and those elsewhere in the Red Sea region, critically depend on oceanic and atmospheric conditions. At a time of mega-development projects along the Red Sea coast, and global warming, authorities are working on optimizing the harnessing of environmental resources, including renewable energy and rainwater harvesting. All these require high-resolution weather and climate information. Toward this end, we have undertaken a multipronged research and development activity in which we are developing an integrated data-driven regional coupled modeling system. The telescopically nested components include 5-km- to 600-m-resolution atmospheric models to address weather and climate challenges, 4-km- to 50-m-resolution ocean models with regional and coastal configurations to simulate and predict the general and mesoscale circulation, 4-km- to 100-m-resolution ecosystem models to simulate the biogeochemistry, and 1-km- to 50-m-resolution wave models. In addition, a complementary probabilistic transport modeling system predicts dispersion of contaminant plumes, oil spill, and marine ecosystem connectivity. Advanced ensemble data assimilation capabilities have also been implemented for accurate forecasting. Resulting achievements include significant advancement in our understanding of the regional circulation and its connection to the global climate, development, and validation of long-term Red Sea regional atmospheric–oceanic–wave reanalyses and forecasting capacities. These products are being extensively used by academia, government, and industry in various weather and marine studies and operations, environmental policies, renewable energy applications, impact assessment, flood forecasting, and more.The development of the Red Sea modeling system is being supported by the Virtual Red Sea Initiative and the Competitive Research Grants (CRG) program from the Office of Sponsored Research at KAUST, Saudi Aramco Company through the Saudi ARAMCO Marine Environmental Center at KAUST, and by funds from KAEC, NEOM, and RSP through Beacon Development Company at KAUST

Socio-Demographic Variables Associated With Aids Epidemic: Evidence From The Organization For Economic Cooperation And Development And The African Countries

The Human Immunodeficiency Virus (HIV) has been spreading rapidly worldwide for the past two decades, causing a variety of symptoms known as the Acquired Immune Deficiency Syndrome (AIDS), which has killed millions of people, and which looks likely to kill millions more. Generally, HIV infection rates are currently decreasing in several countries, but globally the number of people living with HIV/AIDS continues to rise both geographically and among specific demographic groups. For example, despite the remarkable efforts that are being made throughout Africa to avert the spread of HIV and reduce its impact, the HIV/AIDS pandemic in Africa continues to spread obstinately. Among the vexing issues related to the AIDS epidemic are the insufficient provisions of planners, policy makers and the public in general in curbing its devastating consequences to the health sector, households, schools, workplaces, economies and the quality of life as a whole. This paper presents information on the association between socio-demographic variables and AIDS prevalence in some African and the Organization for Economic Cooperation and Development (OECD) countries. The studied variables included size of population; population density; urbanization; average life expectancy; average female life expectancy; average male life expectancy; literacy; female and male literacy; population increase; infant mortality; average daily calorie intake; gross domestic product (GDP) per capita; religion; fertility rates; death rates; and AIDS-rate. Several parametric and nonparametric statistical techniques were adopted including Kruskal-Wallis, Mann-Whitney and Chi-square tests. Insignificant difference in the means of AIDS-rates between the OECD countries and the African group was found, but the difference was significant when the USA was excluded from the analysis. As initially expected, life expectancy in the OECD countries was significantly higher than that of the African group while the average rates of infant mortality, population growth, fertility, and death were significantly higher within the African group. Significant association between AIDS-rate and life expectancy was only found for African males, while association with fertility, infant mortality, population density, and calorie intakes was statistically insignificant. No clear difference between urban and rural areas with respect to AIDS-rates was discerned. Communities of Muslims were less subject to the AIDS problem. In conclusion, future studies should devote more attention toward impacts on HIV/AIDS prevalence of other equally important variables such as access to social and health care services, cultural norms, ethnic diversity, and educational facilities

Multi-Mission Satellite Detection and Tracking of October 2019 Sabiti Oil Spill in the Red Sea

A multi-mission satellite remote sensing (MSRS) approach is explored to detect and track leaked oil from the Sabiti oil tanker accident that occurred in the central Red Sea on 11 October 2019 (RSOS-2019). The spilled oil spread rapidly and reached the coastal land near Jeddah, the second largest city of KSA, on 17 October. Different oil spill detection algorithms were implemented on SAR and optical sensor-based satellite images to track the oil spill. Sentinel-1 SAR images were most efficient at detecting the spread and thickness of RSOS-2019, but their spatio-temporal coverage greatly limits their use for tracking the oil movement. The spread and propagation of oil were well captured by Sentinel-2 images up to three weeks after the accident day, in agreement with the SAR images. MODIS successfully detected the narrow patch of oil that was leaked on the incident day and the widespread oil patches two days after. Landsat-8 RGB composite and thermal infrared images captured the oil spill on 13 October. By filtering clouds from the Meteosat images through sequential analysis, the spread and movement of the oil patches were efficiently tracked on 13 October. PlanetScope images available between 12 and 17 October enabled tracking of the oil near the coastal waters. The inferred oil spill movements are consistent with the ocean currents as revealed by a high-resolution regional ocean reanalysis. Our results demonstrate the potential of the MSRS approach to detect and track oil spills in the open and coastal waters of the Red Sea in near real-time