Quantitative Assessment of Ecological Flow in the Yellow River Under Changing Environments

ABSTRACT Studying the streamflow characteristics of the Yellow River mainstem under changing environmental conditions is crucial for the management and sustainable development of water resources within its basin. This research employs a long short‐term memory (LSTM) model to restore the flow characteristics of the Yellow River's mainstream under natural conditions. Additionally, the range of variation approach (RVA) and nonparametric kernel density estimation (KDE) method are integrated to quantitatively assess the impact of environmental changes on streamflow. The findings indicate that: (1) Hydrological variability in the Yellow River was observed in 1985, with a degree of variability ranging from 26% to 58%, classified as moderate. (2) The annual ecological flow value of the Yellow River is 560–1001 m 3 /s, and the average annual ecological flow assurance is 43%. (3) Based on LSTM simulation results (NSE > 0.7, R 2 > 0.8), it is concluded that the ecological flow assurance under natural conditions in the Yellow River exceeds the measured values, primarily due to human activities, which contribute over 52% to this discrepancy. These results suggest that the river ecosystem of the Yellow River's mainstem is relatively unstable and requires further management.

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Publication Details

Journal
River Research and Applications
Published
2024-10-27
DOI
https://doi.org/10.1002/rra.4396
Citations
2
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
0.40

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article

Quantitative Assessment of Ecological Flow in the Yellow River Under Changing Environments

Xuyang Jiao, Baoliang Wang, Lintong Huang, Hongxiang Wang et al.
2 citations
River Research and Applications
Hydrology and Watershed Management Studies
0.40
article

Quantitative Assessment of Ecological Flow in the Yellow River Under Changing Environments

Xuyang Jiao, Baoliang Wang, Lintong Huang, Hongxiang Wang, Wenxian Guo
article en
2 citations

Abstract

ABSTRACT Studying the streamflow characteristics of the Yellow River mainstem under changing environmental conditions is crucial for the management and sustainable development of water resources within its basin. This research employs a long short‐term memory (LSTM) model to restore the flow characteristics of the Yellow River's mainstream under natural conditions. Additionally, the range of variation approach (RVA) and nonparametric kernel density estimation (KDE) method are integrated to quantitatively assess the impact of environmental changes on streamflow. The findings indicate that: (1) Hydrological variability in the Yellow River was observed in 1985, with a degree of variability ranging from 26% to 58%, classified as moderate. (2) The annual ecological flow value of the Yellow River is 560–1001 m 3 /s, and the average annual ecological flow assurance is 43%. (3) Based on LSTM simulation results (NSE > 0.7, R 2 > 0.8), it is concluded that the ecological flow assurance under natural conditions in the Yellow River exceeds the measured values, primarily due to human activities, which contribute over 52% to this discrepancy. These results suggest that the river ecosystem of the Yellow River's mainstem is relatively unstable and requires further management.

River Research and ApplicationsVol. 41(3)
North China University of Water Resources and Electric Power (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 37%
Hydrology and Watershed Management Studies
0.40
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Quantitative Assessment of Ecological Flow in the Yellow River Under Changing Environments — Xuyang Jiao, Baoliang Wang, et al. · River Research and Applications (2024) | TGRS Research Map | TGRS