The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.
This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
Real-Time Flood Forecasting Project Using InfoWorks FloodWorks (Case Study : Sungai Ulu Melaka, Langkawi, Malaysia)
Issues of flooding are one of the main issues capturing our concern these recent years. The probability of flooding gets more frequent and intense due to rampant development. The scenario is worsened under the pressure of impact of climate variability. Various methods are adopted to minimize the impact of flooding such as the structural and non - structural approaches. However, the non - structural method through flood forecasting is getting popular in flood management particularly in developing countries like Malaysia following the advancement of the information technology and communication. A pilot project for real - time flood forecasting is selected in Sungai Ulu Melaka, Langkawi, Kedah, Malaysia where it experienced flooding in the past. The major land uses are 65% of agriculture which covers mostly paddy fields and 35% of Forest Reserve in upstream. The total catchment of Sungai Melaka, Langkawi is approximately 74.8 km(2) with the river length at 8.8 km and width roughly 20 to 28 m. Major Tributaries of the study area are Sungai Limbung, Sungai Saga, Sungai Korok, Sungai Bukit Hantu and Sungai Ulu Melaka. A river flood forecasting model are built which connects Hydraulics Model from InfoWorks River Simulation, Probability Distribution Model with real - time telemetry rainfall station and operational flood forecasting system model using InfoWorks FloodWorks. The model is useful to forecast the flood events and served as a decision making tools for implementing agencies, local authority for emergency evacuation plan.
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