Effective flood risk management is critical to protect people and their livelihoods from flooding and to limit future losses. Nature-based measures and their ability to address flood risk are receiving increasing attention. Until recently, most flood risk management involved conventional engineering measures. These measures are sometimes referred to as “hard” engineering or “gray” infrastructure. Examples include building embankments, dams, levees, and channels to control flooding. Recently the concept of “nature-based solutions”, “ecosystem-base adaptation”, “eco-DRR” or “green infrastructure” has emerged as a good alternative or complement to traditional gray approaches. Nature-based solutions make use of natural processes and ecosystem services for functional purposes, such as decreasing flood risk or improving water quality. The objective of this document is to present five principles and implementation guidance for planning, such as evaluation, design, and implementation of nature-based solutions for flood risk management as an alternative to or complementary to conventional engineering measures.
Extreme weather events in China, expected to become increasingly common because of climate change, pose a grave threat to essential infrastructure that provides running water, electricity, road and railway connections. This research looks at the fundamental issues of understanding the vulnerability and risks to Chinese infrastructures due to adverse climate impacts. The authors have developed a suite of infrastructure (energy, transport, water, waste and ICT) models to understand how exposed China's infrastructure is to various potential climate change impacts. A concept called the “infrastructure criticality hotspot” is used which is defined as a geographical location where there is a concentration of critical infrastructure, measured according to the number of customers directly or indirectly dependent upon it. Key findings from this research show that China’s top infrastructure vulnerability hotspots are Beijing, Tianjin, Jiangsu, Shanghai and Zhejiang. Using spatial hydrological models, the authors then investigate how these areas may be affected by flooding.
The Global Cleantech Innovation Index (GCII) programme investigates where, relative to GDP, entrepreneurial clean technology companies are most likely to emerge from over the next 10 years – and why. Drawing on a wide range of factors and sources, the study "The Global Cleantech Innovation Index 2017: Which countries look set to produce the next generation of start-ups?" seeks to answer the same question as the 2012 and 2014 GCII reports, namely: which countries currently have the greatest potential to produce entrepreneurial cleantech start-up companies that will commercialize clean technology innovations over the next 10 years? Based on the data contributing to 15 indicators of creation, commercialisation and growth of cleantech start-ups in 40 countries, the study identifies different key trends and shows which countries are falling ahead and below the curve for cleantech innovation.