Blueprint for a Flood and Drought Research Infrastructure

洪水和干旱研究基础设施蓝图

• 批准号: NE/V009060/1
• 负责人: Thorsten Wagener
• 金额: $ 16.68万
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FV009060%2F1
• 关键词: Blueprint; Flood; Drought; Research; Infrastructure

This 15-month scoping phase project will deliver the blueprint for a Flood and Drought Infrastructure Investment (FDRI). It will provide the evidence for, and recommendations on how the intended programme of infrastructure could be established and managed in order to deliver benefits to society. The scoping will involve extensive consultation with relevant stakeholders and collate evidence and experiences from other similar initiatives worldwide. It will seek the views of the broad community to agree upon the initial driving science challenges that can only be addressed through a significant investment in data and observing networks. Through consultation we will seek answers to questions such as what new measurements are required, where and how the data can be gathered and what new technology might be required. The blueprint will develop a series of costed investment strategies (including the implications of "do nothing") and plans for the networks longer term sustainability. An open, near real-time data and IT framework will be proposed to ensure that the data are made available in a quick and simple manner.

这个为期 15 个月的范围界定阶段项目将为洪水和干旱基础设施投资 (FDRI) 提供蓝图。它将提供关于如何建立和管理预期基础设施计划以便为社会带来利益的证据和建议。范围界定将涉及与相关利益相关者的广泛磋商，并整理全球其他类似举措的证据和经验。它将寻求广大社区的意见，以就最初的驱动科学挑战达成一致，这些挑战只能通过对数据和观测网络的大量投资来解决。通过协商，我们将寻求问题的答案，例如需要哪些新的测量、在哪里以及如何收集数据以及可能需要哪些新技术。该蓝图将制定一系列成本投资策略（包括“无所作为”的影响）和网络长期可持续性计划。将提出一个开放、近乎实时的数据和 IT 框架，以确保以快速、简单的方式提供数据。

项目成果

Knowledge gaps in our perceptual model of Great Britain's hydrology

• DOI: 10.1002/hyp.14288
• 发表时间: 2021-06
• 期刊: Hydrological Processes
• 影响因子: 3.2
• 作者: T. Wagener;S. Dadson;D. Hannah;G. Coxon;K. Beven;J. Bloomfield;W. Buytaert;H. Cloke;P. Bates;J. Holden;L. Parry;R. Lamb;N. Chappell;M. Fry;G. Old

A priori selection of hydrological model structures in modular modelling frameworks: application to Great Britain

模块化建模框架中水文模型结构的先验选择：在英国的应用

• DOI: 10.1080/02626667.2023.2251968
• 发表时间: 2023
• 期刊: Hydrological Sciences Journal
• 影响因子: 3.5
• 作者: Kiraz M

A Signature-based Hydrologic Efficiency Metric for Model Calibration and Evaluation in Gauged and Ungauged Catchments

基于特征的水文效率指标，用于计量和未计量流域的模型校准和评估

• DOI: 10.22541/essoar.168500311.10830478/v1
• 发表时间: 2023
• 作者: Kiraz M