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Local Stakeholders' Acceptance of Model-generated Data Used as a Communication Tool in Water Management: The Ronnea Study

机译:当地利益相关者对模型生成数据在水管理中用作交流工具的接受:Ronnea研究

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The objective of this study was to increase the knowledge of local stakeholders' acceptance of model-generated data when used as a communication tool in water quality management. The Ronnea catchment in the southwest of Sweden was chosen as the study area. The results indicate the model-generated data served as a uniting factor. Simultaneously, the stakeholders were concerned with presented data, the main problems being sources of pollution, which were not accounted for, lack of trustworthiness when measuring pollution, and the uncertainty of the impact of natural variation and delayed effects. Four clusters of factors were identified as influencing stakeholders' acceptance of the model-generated data: confidence in its practical applications, confidence in the people involved in or providing material for the dialog (such as experts, decision-makers, and media), the social characteristics of the participants (such as age and profession), and the way of communicating the data (such as tone of communication, group composition, duration, and geographical scope of the dialog). The perception of the fairness of the practical application of given model-generated data was also an important factor for acceptance.
机译:这项研究的目的是增加当地利益相关者在水质管理中用作交流工具时接受模型生成数据的知识。瑞典西南部的罗纳(Ronnea)流域被选为研究区域。结果表明,模型生成的数据可作为一个联合因子。同时,利益相关者也关注所提供的数据,主要问题是污染源,这些污染源没有得到考虑,测量污染时缺乏可信赖性,以及自然变化和延迟影响的不确定性。确定了四类因素,这些因素影响了利益相关者对模型生成的数据的接受程度:对其实际应用的信心,对参与对话或为对话提供材料的人员(例如专家,决策者和媒体)的信心,参与者的社会特征(例如年龄和职业),以及数据交流的方式(例如对话的语气,小组组成,持续时间和对话的地理范围)。对给定的模型生成数据实际应用的公平性的理解也是接受的重要因素。

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