Towards Integrated Flood Risk and Resilience Management

被引：17
|
作者：
Fu, Guangtao [1 ]
Meng, Fanlin [1 ]
Rivas Casado, Monica [2 ]
Kalawsky, Roy S. [3 ]
机构：
[1] Univ Exeter, Ctr Water Syst, Coll Engn Math & Phys Sci, North Pk Rd, Exeter EX4 4QF, Devon, England
[2] Cranfield Univ, Sch Water Energy & Environm, Coll Rd, Cranfield MK43 0AL, Beds, England
[3] Loughborough Univ, Adv VR Res Ctr, Wolfson Sch Mech Elect & Mfg Engn, Loughborough LE11 3TU, Leics, England
来源：
WATER | 2020年 / 12卷 / 06期
基金：
英国工程与自然科学研究理事会;
关键词：
flood risk; flood resilience; machine learning; management strategy; metrics; URBAN; MODEL;
D O I：
10.3390/w12061789
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Flood resilience is an emerging concept for tackling extreme weathers and minimizing the associated adverse impacts. There is a significant knowledge gap in the study of resilience concepts, assessment frameworks and measures, and management strategies. This editorial introduces the latest advances in flood risk and resilience management, which are published in 11 papers in the Special Issue. A synthesis of these papers is provided in the following themes: hazard and risk analysis, flood behaviour analysis, assessment frameworks and metrics, and intervention strategies. The contributions are discussed in the broader context of the field of flood risk and resilience management and future research directions are identified for sustainable flood management.
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页数：5
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