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Proceedings of the 14th International Symposium on Ecohydraulics (Nanjing, 2022)

This proceedings accommodates the abstracts and papers of the 14th International Symposium on Ecohydraulics, which has been hosted during October 10-14, 2022 in Nanjing, China by IAHR's Technical Committee on Ecohydraulics and jointly organized by Hohai University, Tsinghua UniversityNanjing Hydraulic Research Institute, and Yangtze Institute for Conservation and Development.

Ecohydraulics is a rapidly developing inter-discipline of ecology and hydraulics brought about by the ever-growing concern of aquatic and riparian ecology. Since its first edition in 1994, the International Symposia on Ecohydraulics (ISE) have provided platforms for scientists and engineers worldwide to discuss cutting-edge scientific progress, compare and evaluate state-of-the-art technical methods, and recommend them to the end-users. ISE 2022 covers a wide spectrum of topics related to ecohydraulics in theory and in practice, including the hydrological, hydraulic, morphodynamic, structural, ecological, biological, and technical aspects of the discipline. Five high-profile keynote speeches will be presented. We are expecting you to present at the symposium and share the latest advancement of your research with the international scientific community. Special issues on Journal of Ecohydraulics, International Journal of Sediment Research, Ecohydrology, and Environmental Science & Ecotechnology focusing on this conference will be published. Traditionally, ISE features an ECoENet pre-conference workshop which helps early career researchers working in ecohydraulics find opportunities and overcome challenges. Starting from the current edition, ISE plans to provide an interactive lecture for a helpful technical tool applied in one of these three topics: (1) fieldwork, (2) lab experiments, and (3) numerical simulations, and rotate among them in the future.

ID Title Authors Year
22042 Towards Understanding Fish Behavior Near an Angled Rack: An Approach for Fish Tracing Using Open-Source Software
Ianina Kopecki; Matthias Schneider; Katharina Bensing; Boris Lehmann; Andreas Becker; Johannes Ortlepp; Jeffrey Tuhtan
2022
22043 Forecast of Chlorophyll-a Concentration Based on Time Series Decomposition and Deep Learning over Eutrophic Lakes
Cheng Chen; Qiuwen Chen; Mingtao Hu; Gang Li
2022
22044 Influence of the Upstream Linear Surges on Energy Characteristics of the Pump as Turbine Based on Entropy Production Theory
Zhe Xu; Yuan Zheng; Kan Kan; Huixiang Chen
2022
22045 An Improved Deep Learning Model for Suspended Sediment Forecast
Shicheng Li; James Yang; Chang Lin; Qiancheng Xie; Anders Ansell
2022
22046 Development of Transient Habitat Modelling for Macrozoobentho in Restored Stream
Sengdavanh Thepphachanh; Jurgen Stamm
2022
22047 Development of a Real-Time Bird Species Identification Algorithm Using Deep Learning
Takuma Nishimura; Shinji Fukuda
2022
22048 River Mesohabitat Classification from Aerial Photographs Using Deep Learning
Richard Hedger; Marie-Pierre Gosselin
2022

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