Hydrology Research Special Issue On
Artificial Intelligence in Hydrology
Hydrological systems are becoming increasingly complex owing to the growing interaction between nature and humans at the local scale of river sections, lakes, reservoirs, catchments, etc., to the global scale. There is great demand for the development of models to evaluate, predict, and optimize the performance of complex hydrological systems whose behavior is characterized by a strong nonlinearity. However, traditional approaches can hardly handle this nonlinear behavior; moreover, the analysis of hydrological systems at the large scale, even global, requires dealing with large-volume and real-time data.
In recent years, artificial intelligence (AI), especially deep learning, has shown great potential to process massive data and solve large-scale nonlinear problems. AI has been successfully applied to computer vision, machine translation, bioinformatics, drug design, and climate science. AI models have produced results comparable to and even better than expert human performance. It is expected that AI can significantly contribute to hydrology research as well as development.
This Special Issue is dedicated to presenting to the readership of Hydrology Research some of the latest advances in the field of AI in hydrology. The articles cover new and emerging AI methods and models from various challenging problems in hydrology.
Prof. Elena Volpi, Università Roma Tre, Italy
Prof. Jong Suk KIM, Wuhan University, China
Prof. Shaleen Jain, University of Maine, USA
Dr Sangam Shrestha, Asian Institute of Technology (AIT), Thailand
Hydrology Research (1 June 2023) 54 (6): iii–iv.
Hydrology Research (1 March 2022) 53 (3): 385–406.
Hydrology Research (1 May 2022) 53 (5): 657–667.
Hydrology Research (1 June 2022) 53 (6): 795–806.
Hydrology Research (1 December 2021) 52 (6): 1526–1541.
Hydrology Research (1 May 2022) 53 (5): 684–699.
Hydrology Research (1 December 2021) 52 (6): 1469–1489.
Hydrology Research (1 December 2021) 52 (6): 1490–1525.
Hydrology Research (1 December 2021) 52 (6): 1455–1468.