With the recent advances in deep learning, data-driven methods have shown compelling performance various application domains enabling Smart Cities paradigm. Leveraging spatial–temporal data from multiple sources for (citywide) traffic forecasting is a key to strengthen smart city management areas such as urban control, abnormal event detection, etc. Existing approaches of flow prediction mainly...

[1] Critical issues facing basin-scale groundwater flow models are the estimation of representative hydraulic conductivity for the model units and the impact of nonrepresentation of within-unit conductivity heterogeneity on the model flow prediction. In this study, high-resolution, fully heterogeneous basin-scale hydraulic conductivity map is generated by scaling up an experimental stratigraphy...