A service for global water level and river flow data based on pervasive sensor networks

GSTDTAP

项目编号	NE/S009051/1
	A service for global water level and river flow data based on pervasive sensor networks
	Wouter Buytaert
主持机构	Imperial College London
项目开始年	2018
	2018-09-01
项目结束日期	2018-11-30
资助机构	UK-NERC
项目类别	Research Grant
项目经费	10426(GBP)
国家	英国
语种	英语
英文摘要	Floods and droughts are among the most damaging and disruptive natural hazards worldwide. The development of adaptation and mitigation strategies such as flood forecasting systems relies on accurate observations of water level and river flow. However, the world's rivers are still very poorly monitored and existing monitoring networks are often very sparse in space and time. This is a major bottleneck for water resources management and risk reduction. We have developed a "smart" sensor network that consists of a combination of novel, low-cost sensor technologies and computer algorithms to manage the network. With this network we can monitor and derive various river flow parameters in a way that is far more cost-effective, robust, flexible, and environmentally friendly than existing methods. We have applied our technologies around the world and in a wide variety of applications, including groundwater well monitoring in Somalia, evaluating green infrastructure for water security in Peru, and supporting community-based flood early warning in Nepal. These applications have allowed us to test and refine the performance and robustness of the technology in real-world conditions, and has also exposed the technology to potential end-users. This has generated a broad interest, including various specific requests to purchase the sensors and related technologies. Based on this experience, we see an opportunity to commercialize our technology by building an innovative global service for application-tailored water level and river flow data and analytics. Before applying for an Innovation Follow-On award, we intend to implement a set of activities to formalize our end-user engagement and analyse the potential market. This will allow us to understand end-user needs, and to identify an appropriate business model for the service. Through the Imperial College MBA Connect programme, we have teamed up with the Imperial Business School student Henry Spethmann. Before embarking on MBA studies at Imperial College, Henry has been involved in several technology start-ups in Europe and the United States. As a result, he has extensive expertise on market analysis and business model development, which is highly complementary to the technological and scientific expertise of Dr Buytaert's group. We intend to use the Pathfinder funding to contract Henry to develop a strategy for end-user engagement that will provide us with the necessary input in the development of the business model. Through our previous interactions and experience, we identified a set of potential clients (see section on "Beneficiaries" for more details). However, their requirements are diverse and suggest different potential business models, ranging from selling sensors to providing a set of services related to installation, operation, and data analysis. Therefore, we aim to conduct interviews with potential customers to understand the business context in which they operate, e.g. current needs, most difficult areas of operation, how much monitoring is already in place, and proportion of total budget allocated for hydrological data generation. This information will allow us to identify one or more suitable business models, as a first step towards the development of a business plan. In conjunction to the end-user interaction and business model development, we also aim to explore the intellectual property context, implement a risk analysis, and identify relevant competitors.
来源学科分类	Natural Environment Research
文献类型	项目
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/87215
专题	环境与发展全球科技态势
推荐引用方式 GB/T 7714	Wouter Buytaert.A service for global water level and river flow data based on pervasive sensor networks.2018.