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Call for Papers - MDPI's Sustainability (Impact Factor: 2.676)

"Environmental Water Monitoring for Sustainable Development in Urban and Rural Areas"

Deadline: May 31, 2021



Dear Colleagues,

The United Nation’s Sustainable Development Goals are a universal call to action to end poverty, protect the planet and improve the lives and prospects of everyone, everywhere. The 17 Goals were adopted by all UN Member States in 2015, as part of the 2030 Agenda for Sustainable Development which set out a 15-year plan to achieve the Goals. Among these, Goal 6 refers to “Ensuring availability and sustainable management of water and sanitation for all”. This decomposes to focused targets, including the improvement of water quality by reducing pollution, increasing water-use efficiency across all sectors and ensure sustainable withdrawals and supply of freshwater to address water scarcity, implementing an integrated water resources management at all levels, and protecting and restoring water-related ecosystems, including mountains, forests, wetlands, rivers, aquifers and lakes.

To this end, new technologies have emerged for monitoring water resources over the last years, which aim to secure the society’s long-term resilience, stability, sustainability and security. According to Water Europe the challenges of the water sector are pertinent to water quality monitoring, water quantity monitoring, and mitigation of the effects of climate change, via monitoring the more frequent extreme weather events such as floods or severe drought periods. The abundance data on the monitoring of water resources is expected to create new emerging technologies and innovative Artificial Intelligence (AI) and big data analytics techniques for sustainable development in urban and rural areas.

This special issue aims to publish high-quality research papers on the inter-disciplinary field of real-time water quality and quantity monitoring, flood mapping and risk assessment, using low-cost sensors, satellite images, UAVs, CCTVs, photonic technologies and community-based in-situ observations from social media and crowdsourcing platforms. Big data analytics aim to extract meaningful insights and patterns from very large and heterogeneous data sources in water resource monitoring. Multimodal data fusion aims to effectively combine data and information from the abovementioned technologies. Semantic technologies may also offer novel mitigation strategies through the enrichment of extracted knowledge, interlinking and reasoning for decision-making. Moreover, model-based and simulation-based approaches can be considered to optimize the operation and reduce the risk of an unforeseen event. Novel methodologies, frameworks and tools should include both experimental evaluation and valuable recommendations for policymakers in the water sector.

Dr. Ilias Gialampoukidis
Dr. Stefanos Vrochidis
Dr. Ioannis Papoutsis
Dr. Demetris Eliadis
Guest Editors

-Water quality
-Water management
-Water scarcity
-Flash floods
-Climate change
-Sensor networks
-Earth Observation

Submission instructions to this Special Issue :