Work-in-Progress: SMART-WATER, a Νovel Τelemetry and Remote Control System Infrastructure for the Management of Water Consumption in Thessaloniki

The Applicability of Big Data in Climate Change Research: The Importance of System of Systems Thinking

“…Statistical downscaling (Wang Q. et al, 2020) helps to find the external variables of Mourtzios et al (2021) consumption patterns identified based on remote sensing and is comparable with the results of satellite image-based analyzes (Semlali and El Amrani, 2021). And comparable to other approaches (Jimenez et al, 2019), which strengthens confidence in the models (Qin and Chi, 2020).…”

“…The use of satellite imagery as a data source in urban planning also helps identify climate-friendly solutions (Milojevic-Dupont et al, 2020). Web-based water management (Mourtzios et al, 2021) can be supported with trends identified from time-series data (Ise et al, 2020), but remotely sensed water flow data also complements the agricultural water management model (Ismail et al, 2020). And if we increase the resolution of the data (Jimenez et al, 2019), we can also understand the causal relationships related to consumption.…”

“…Population movements (Gurram et al, 2019) affect water consumption (Mourtzios et al, 2021), can damage plants (Meineke et al, 2020), show the popularity of coastal areas (Kubo et al, 2020), but are also suitable for improving transport planning (Hu et al, 2020). Because the movement of residents is closely related to the infrastructure (Milojevic-Dupont et al, 2020), it is a very valuable input in urban planning.…”

“…In the Big Data application, that supports the energy demand management of buildings (Gouveia and Palma, 2019), we can use water consumption data (Mourtzios et al, 2021) as an extension, development alternatives can be ranked based on time series data (Ise et al, 2020), or based on time series extracted from satellite images (Joshi et al, 2019), which can be supported by a deeper understanding of energy demand downscaled data (Wang Q. et al, 2020), because the resolution of the input data can be improved (Jimenez et al, 2019).…”

“…Based on the presented system of systems framework, it can be seen how the new results of Big Data applications related to climate change contribute to other areas. Remote sensing of water consumption (Mourtzios et al, 2021), analysis of cloud water content (He et al, 2020), and the agricultural water management model (Ismail et al, 2020) contribute to the goal of clean water and sanitation (SDG6). Planning based on the analysis of traffic data (Hu et al, 2020), studying population movements (Gurram et al, 2019) and flooding models (Avand et al, 2021) support the goal of industry, innovation and infrastructure (SDG9).…”