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Transport of radioactive waste along the Sellafield shoreline: climate change impact and mitigation strategies through nature-based solutions

沿塞拉菲尔德海岸线运输放射性废物：通过基于自然的解决方案实现气候变化影响和缓解策略

基本信息

批准号：
2605682
负责人：
金额：
--
依托单位：
University of Liverpool
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2021
资助国家：
英国
起止时间：
2021 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=studentship-2605682
关键词：
Transport radioactive waste along Sellafield

项目摘要

Using the coastal modelling software Delft-3D, the relevance of waves, storms and sea-level rise on coastal erosion and sediment transport for the wider Sellafield shoreline will be examined. The risk of flooding potentially causing physical remobilization and transport of sediments contaminated by radionuclides will be assessed. Evaluating the contribution of different storms intensities, and frequency, as well as various sea level rise scenarios to the remobilization of mudflat and shoreline sediments. Field measurements and coring will be carried out to evaluate the spatial distribution of contaminants depending on the relative exposure to wind, waves, and tidal currents. The field studies will validate the data the numerical model produces. This data will be used to investigate the effect of remobilized legacy waste on the environment. The movement of Sellafield figure print radionuclides along the Sellafield coast is of primary interest, as well as how this process will be affected by future climate change. The numerical model will be adapted to include different decay rates to account for different radioactive elements. The model will be used to assess the effectiveness of nature-based solutions, for example the planting of reed beds for contaminant bioaccumulation, thus removing the radionuclides from the soil. This will provide a tool for stakeholders to explore different management options.

利用海岸模拟软件Delft-3D，将研究海浪、风暴和海平面上升与更广泛的塞拉菲尔德海岸线的海岸侵蚀和泥沙输送的相关性。将评估洪水可能造成受放射性核素污染的沉积物的物理迁移和运输的风险。评估不同风暴强度和频率以及各种海平面上升情景对泥滩和海岸线沉积物再动员的贡献。将进行现场测量和取芯，以评估污染物的空间分布，这取决于与风、浪和潮流的相对暴露。实地研究将验证数值模式产生的数据。这些数据将用于调查可再活化的遗留废物对环境的影响。塞拉菲尔德数字指纹放射性核素沿塞拉菲尔德海岸的移动是人们主要感兴趣的问题，以及这一过程将如何受到未来气候变化的影响。数值模型将进行调整，以包括不同的衰变率，以考虑不同的放射性元素。该模型将用于评估基于自然的解决方案的有效性，例如种植芦苇床以进行污染物的生物积累，从而从土壤中去除放射性核素。这将为利益攸关方提供一个工具，以探索不同的管理选择。