PhD Student Ryerson University, Department of Civil Engineering
Disclosure: Disclosure information not submitted.
Stormwater management is a crucial practice to control the quantity and quality of surface runoff for the purpose of preserving and restoring water resources. In recent years, the management of urban drainage systems has become a noticeably challenging issue as a result of rapid urbanization and climate change phenomena. Existing conventional management techniques have limited monitoring effectiveness due to a range of reasons (e.g. high-cost, high maintenance, and inappropriate lag times between sampling and measurement). Internet of Things (IoT) – an approach that mainly consists of sensors and network-connected devices - has gained growing interest among researchers at the beginning of the 21st century, as a result of its potential in enhancing functionality and efficiency at a reduced cost. This review attempts to present recent progress in IoT-based applications to monitor urban drainage systems with a particular focus on Low Impact Development (LID) practices. Different IoT protocols such as Zigbee, LoRa and NB-IoT are explored in terms of range, data rate and power requirements. Key concepts and criteria of the Internet of Things, in addition to a number of recently implemented case studies, are presented and discussed. Various models of Wireless Sensor Networks (WSNs) that were employed to measure several hydrological parameters, including temperature, pH, turbidity, dissolved oxygen, chlorine and organic compounds, are introduced. To the end, the review proposes some recommendations for future research that may improve the understanding and contribution of this smart technology to the flood-related industry.
Identify the key concepts, the criteria, the most common protocols and the current applications of the Internet of Things (IoT).
Understand how the Internet of Things (IoT) can transform the monitoring of urban drainage systems into a more efficient and innovative process.
Use the review study to recognize the research gap in the existing body of knowledge and priorities for future research of IoT-based devices, including those that are relevant to the monitoring of water quantity and quality.