Review and outlook of river morphology expression
Author(s) -
Ziwei Li,
Chaode Yan,
Muhammad Waseem Boota
Publication year - 2022
Publication title -
journal of water and climate change
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 22
eISSN - 2408-9354
pISSN - 2040-2244
DOI - 10.2166/wcc.2022.449
Subject(s) - expression (computer science) , river management , river morphology , morphology (biology) , alluvium , multidisciplinary approach , object (grammar) , hydrology (agriculture) , environmental resource management , water resource management , geography , geology , computer science , environmental science , sediment , geomorphology , artificial intelligence , sociology , geotechnical engineering , paleontology , social science , programming language
The morphological expression of rivers provides a primary medium for human understanding of river geomorphology and the transmission of geographical information. In an ever-changing environment, constantly updated river monitoring data and products offer considerable potential for an explicit expression of river morphological characteristics and associated processes. This paper reviewed the advances in river morphology expression and examines how the various approaches can be utilized to interpret changing geomorphic features of rivers. First, taking alluvial rivers as the research object, river morphology is classified into three types of expression data and four categories of expression models. Then, the limitations of current river morphology models, such as uncertainty, inconsistency, and poor joint application, are analyzed. Finally, four outlooks are offered for improving river morphology expression, including stimulating the expression of river morphology with big data of rivers, redefining different river types, promoting multidisciplinary and interdisciplinary integration, and serving scientific management and decision-making.
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