Open AccessCAN MACHINE LEARNING IMPROVE THE ACCURACY OF WATER LEVEL FORECASTS FOR INLAND NAVIGATION? CASE STUDY: RHINE RIVER BASIN, GERMANY
Author(s) -
Yueling Ma,
Elena Matta,
Dennis Meißner,
Hanno Schellenberg,
Reinhard Hinkelmann
Publication year - 2019
Publication title -
proceedings of the iahr world congress
Language(s) - English
Resource type - Conference proceedings
eISSN - 2521-716X
pISSN - 2521-7119
DOI - 10.3850/38wc092019-0274
Subject(s) - water level , structural basin , computer science , drainage basin , environmental science , water resource management , artificial intelligence , hydrology (agriculture) , geology , geography , cartography , geomorphology , geotechnical engineering