BROADSEAT (Beneficial Reuse Of Any Dredged Sediment Environmental Assessment Tool) [software]

  • Richard Lord (Creator)
  • Keith Torrance (Creator)

Dataset

Description

BROADSEAT stands for "Beneficial Reuse Of Any Dredged Sediment Environmental Assessment Tool". It is designed to help you analyse the environmental merits (and any trade-offs) of a proposed or completed beneficial reuse/use dredging project. It uses your professional judgement of a real or hypothetical Beneficial Reuse Option compared to the Business As Use case, which is what you would do otherwise, or what would normally be common practice. It scores your qualitative assessment of whether its better/the same/worse on a binary scale (plus one/zero/minus one), using your answers to a series of questions. These questions attempt to address the range of factors which might be considered. For each question you answer by selecting a decision from the dropdown list. There are 52 questions each relating to a single factor, split between 10 categories (transport comparison, energy comparison, circular economy aspects, waste management aspects, waste regulation aspects, water environment, ecosystem services, biodiversity & conservation, socio-economic impacts, UN Sustainable Development Goals), which are then arranged into 4 groups (Energy, Waste, Environment, Societal). For each factor a weighting is provided, which is multiplied by the binary score generated by your answer to each question to give a score for the performance on this factor. The cell containing the resulting score is coloured, red (poor) through white (same) to green (good), reflecting the answers visually. The weightings are designed to give equal emphasis to the four groups, with a maximum score of 25 for all factors/categories in each group. Thus the maximum (or minimum) possible score overall is 100 (or minus 100). The scores for each factor are shown as a radar plot§. Here each factor ranges between 100 and minus 100. The cells containing the scores for each group and the overall score are colour coded, blue (higher) through white (same) to red (lower).
Date made available11 Feb 2022
PublisherUniversity of Strathclyde
Date of data production31 Dec 2021

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