نسترن صابری

Regarding to design an applicable electronic book reading system for children and adolescent, this study’s struggle is to prepare a conceptual model. We used quantitative approach and Delphi method in order to analyze data. In this regard, criterion based sampling is used to identify the research population. 15 experts were identified which had criteria such as having subjective publications, teaching experience, and so on. We supposed that these experts could present more information that we expected to collect. Moreover, 8 electronic book systems were selected to be reviewed, because of their plenty of active audiences, and their international and also standard presence. Firstly identified practical criteria in designing electronic books by extracting them from related resources and checking active systems. These data helped us to prepare primitive version of the checklist and it completed after passing validity control step with participation of three experts. Then the checklist presented to experts in Delphi panel. Finally, consensus on the components was reached after three rounds of Delphi panel. The results showed that in designing electronic books for children, there are five original components. The components are display screen features with 12 criteria, screen organization with 13 criteria, interaction and feedback with 8 criteria, search and retrieval features with 10 criteria, and help and guidance features with 10 criteria. Consequently, display screen features with score of 3,706 and interaction and feedback with score of 3,700 were selected as the most important components in designing electronic book systems by the viewpoints of Delphi experts.

Geographic information and analysis provide a wide range of data and techniques to monitor and manage natural resources. As an important case, in arid and semi-arid areas, water management is critical for both local governance and citizens. As a result, the estimation of water potential brought by snowmelt runoff and rainfalls seems to be very useful and important for these areas. Hydrological modeling needs vast knowledge about integrating all relating parameters. In this work, different data sources including the remote sensing observations, meteorological and geological data are integrated to supply spatially detailed inputs for Snowmelt Runoff Modeling in a watershed, located in Simin-Dasht basin in the northeast of Tehran, Iran. Because of high temporal frequency and suitable spatial coverage, MODIS optical images have been chosen to map snow cover. The MODIS 8-day snow map product with spatial resolution of 500m (MOD10A2.5) is used to compute the snow cover area. In addition, during the snowmelt period in 2006-2007, archived meteorological and geological data are used to provide snow runoff modeling (SRM) parameters and variables. Also Landsat ETM+ images with better spatial resolution (30m) and less temporal coverage (16 days) are used in 2007 snowmelt period to compare the model accuracy with same conditions. Evaluation of the runoff outputs in both of models reveals good agreement with real data that prove SRM capability in modeling basin’s daily and weekly runoff. Model accuracy shows better satisfactory of snow runoff modeling results within snow cover area derived from Landsat ETM+ data and MODIS snow product was less accurate in modeling. Although using MODIS model accuracy was less, but still it is recommended due to less further process and providing better temporal coverage during snowfall and snowmelt season. Future works in this criterion could be concentrated on SRM forecast improvement using fusion with other measurements or combining physical models.