Adaptive ecological baseflow computation based on the ecological requirements: a case study in Weihe Basin, China

A certain flow plays a key role in preventing the shrinkage and drying of the river while maintaining good functionality. In recent years, ecological baseflow has become an important research issue in China with the emergence of ecological protection. Various ecological baseflow methods and their im...

Full description

Saved in:
Bibliographic Details
Published in:Water science & technology. Water supply 2022-09, Vol.22 (9), p.7111-7124
Main Authors: Liu, Dandan, Xie, Jiancang, Yang, Xue, Wei, Na, Gao, Shuang, Yang, Zijie
Format: Article
Language:English
Subjects:
application requirements
Base flow
Climate change
Computation
ecological baseflow
Ecosystems
evaluation and correction
Hydraulics
Hydrology
Invertebrates
methodology summary
Methods
Protection
Rationality
Reliability
Reliability analysis
River ecology
Rivers
Simulation
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A certain flow plays a key role in preventing the shrinkage and drying of the river while maintaining good functionality. In recent years, ecological baseflow has become an important research issue in China with the emergence of ecological protection. Various ecological baseflow methods and their improvement methods were proposed and applied, but the reliability and applicability of the results are yet to be verified. This paper proposes an advanced ecological baseflow computation-dynamic thematic evaluation service model by considering the ecological protection objectives. The method was applied to five key cross-sections of the Weihe River, and a set of recommended ecological baseflow values was obtained considering the connectivity, water environment, and water-sediment balance, which is in line with the actual requirements. The analysis shows that the method has reliability and operability, which can provide support for management decisions.
ISSN:1606-9749
1607-0798
DOI:10.2166/ws.2022.316