Application of Spatiotemporal Data in Hydrological Hazards of Drought, Flood and Water Pollution Assessment and Monitoring

Dear Colleagues,

Driven by global change and population pressure, droughts, floods and water pollution have been the most serious hydrological hazards that can lead to crop losses and economic havoc in many areas, affecting more people globally than any other natural hazard. As droughts, floods and water pollution are complex hydrological systems, they deserve a multidisciplinary monitoring effort in order to carry out appropriate and timely hazard assessments. Recently, various spatiotemporal data (e.g., remote sensing, big data, in-situ monitoring, etc.) have been widely applied to obtain a synoptic and punctual view over basin-scale monitored areas. The application of art-to-state spatiotemporal data can potentially provide an extra contribution to hydrological hazards of drought, flood and water pollution assessment and monitoring, for instance, in terms of the accuracy of results, the amount of information obtained, temporal availability, etc.

We are seeking contributions that integrate the application of spatiotemporal data such as remote sensing, Big data, etc., with a particular focus on and reference to drought, flood or water pollution monitoring and hazard assessment. In particular, contributions on various droughts or flood monitoring indexes from different spatiotemporal data resources are also welcome and encouraged. The investigative approach characterized by the integration of disciplines at different scales of vision and precision represents a modern challenge to strive for a more complete understanding of drought, flood and water pollution processes and, therefore, a better hazard evaluation.

Dr. Yaohuan Huang
Prof. Dr. Yesen Liu
Dr. Runhe Shi
Dr. Hongyan Ren
Prof. Dr. Yuanyuan Liu
Guest Editors

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