Good Practice in EU Public Service Media and Contemporary Practice in Jordan: A Comparative Analysis

UNESCO Amman Office Foreword: UNESCO Amman office is pleased to publish a comparative analysis between good Public Service Media (PSM) practices in Europe and the contemporary practice in Jordan. The study is part of the Support to Media in Jordan project, funded by the European Union, aiming to increase media freedom, media independence and journalistic professionalism in Jordan. The state owned broadcaster, Jordan Radio and Television (JRTV), has informed, entertained and educated Jordanians for decades. JRTV reaches almost every corner of the Kingdom and has the potential to serve all Jordanians with balanced, impartial and accurate news and programmes relevant to their day-to-day lives.Based on this potential there has been a long standing ambition to transform the JRTV from a state broadcaster to a public service broadcaster; from a TV and radio that predominately serves the state, to a broadcaster that serves the public and is independent from the Government of the day. This ambition is expressed also in the Support to Media in Jordan project, agreed between the Government an the EU, under which UNESCO has been asked to produce two studies: The comparative PSM analysis and a broader media landscape assessment based on UNESCO’s Media Development Indicators (MDI’s). The Jordanian MDI assessment was carried out by a team of national and international researchers during the first six months of 2015, and builds on the rich flora of recent studies on the Jordanian media landscape, as well as on original research. The study is available in Arabic and English. Professor Naomi Sakr carried out the comparative PSM analysis parallel to the MDI study, and in close cooperation with the MDI research team and UNESCO Amman office.

Wind resource mapping using landscape roughness and spatial interpolation methods

Energy saving, reduction of greenhouse gasses and increased use of renewables are key policies to achieve the European 2020 targets. In particular, distributed renewable energy sources, integrated with spatial planning, require novel methods to optimise supply and demand. In contrast with large scale wind turbines, small and medium wind turbines (SMWTs) have a less extensive impact on the use of space and the power system, nevertheless, a significant spatial footprint is still present and the need for good spatial planning is a necessity. To optimise the location of SMWTs, detailed knowledge of the spatial distribution of the average wind speed is essential, hence, in this article, wind measurements and roughness maps were used to create a reliable annual mean wind speed map of Flanders at 10 m above the Earth’s surface. Via roughness transformation, the surface wind speed measurements were converted into meso- and macroscale wind data. The data were further processed by using seven different spatial interpolation methods in order to develop regional wind resource maps. Based on statistical analysis, it was found that the transformation into mesoscale wind, in combination with Simple Kriging, was the most adequate method to create reliable maps for decision-making on optimal production sites for SMWTs in Flanders.

Wind Resource Mapping Using Landscape Roughness and Spatial Interpolation Methods

Energy saving, reduction of greenhouse gasses and increased use of renewables are key policies to achieve the European 2020 targets. In particular, distributed renewable energy sources, integrated with spatial planning, require novel methods to optimise supply and demand. In contrast with large scale wind turbines, small and medium wind turbines (SMWTs) have a less extensive impact on the use of space and the power system, nevertheless, a significant spatial footprint is still present and the need for good spatial planning is a necessity. To optimise the location of SMWTs, detailed knowledge of the spatial distribution of the average wind speed is essential, hence, in this article, wind measurements and roughness maps were used to create a reliable annual mean wind speed map of Flanders at 10 m above the Earth’s surface. Via roughness transformation, the surface wind speed measurements were converted into meso- and macroscale wind data. The data were further processed by using seven different spatial interpolation methods in order to develop regional wind resource maps. Based on statistical analysis, it was found that the transformation into mesoscale wind, in combination with Simple Kriging, was the most adequate method to create reliable maps for decision-making on optimal production sites for SMWTs in Flanders (Belgium).

Curating in the post-industrial landscape case study: Ambika P3

An analysis of curating in the post-industrial landscape using the venue of Ambika P3, University of Westminster as a case study.