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ORIGINAL RESEARCH
Understand the Response of Aquatic Plant
Community in Wetland Ecological Water
Replenishment through the Analysis
of MIKE11's Water Level Characteristics
– Using a Typical Riverside Wetland
in Northern China as an Example
1
College of Mining Engineering, North China University of Science and Technology, Tangshan, P.R. China
2
Key Laboratory of bioelectrochemical water pollution control technology in Tangshan City, North China University of
Science and Technology, Tangshan, P.R. China
3
Qinhuangdao Ecological Environment Bureau, P.R. China
4
Hebei Mining Area Ecological Restoration Industry Technology Research Institute, North China University of Science
and Technology, Tangshan, P.R. China
Submission date: 2024-08-27
Final revision date: 2024-10-30
Acceptance date: 2024-12-29
Online publication date: 2025-03-25
Publication date: 2026-01-30
Corresponding author
Chunpeng Leng
College of Mining Engineering, North China University of Science and Technology, Tangshan, P.R. China
College of Mining Engineering, North China University of Science and Technology, Tangshan, P.R. China
Hao Wang
College of Mining Engineering, North China University of Science and Technology, Tangshan, P.R. China
College of Mining Engineering, North China University of Science and Technology, Tangshan, P.R. China
Pol. J. Environ. Stud. 2026;35(1):1161-1178
KEYWORDS
TOPICS
ABSTRACT
Since 2016, ecological water replenishment (EWR) of the Yongding River has been an important
project implemented in response to China's policy of developing an ecological civilization. To study the
effect of ecological water replenishment on the aquatic plant community, we took the riparian wetland
of the Yongding River (Beijing Plain Section) as the study area. First, the periodic water level variation
was analyzed and predicted using Morlet wavelet analysis and NARX neural networks. The annual
average water level has the first primary period on the 28a time scale, and the water level shows a dryabundant-
dry trend on the 28a time series. The maximum annual absolute error of the NARX neural
network is only 0.21%. The forecasting model meets the requirements of water level forecasting for
the Yongding River, which has proven to play a leading role in flood control work. By constructing the
MIKE11 model of a riparian wetland and comparing the changes in water replenishment discharge and
water level simulated over 3 years, it is analyzed that when the replenishment water flow is too high, the
restoration effect of the aquatic plant community is slowed down. The restoration effect of the aquatic plant community is poor due to low water flow replenishment. Considering the economy of ecological
water replenishment, based on the optimal allocation scheme of ecological water replenishment for the
restoration of typical aquatic plant communities in riparian wetlands, the replenishment water flow
should be regulated within the range of 18.66~21.33m3/s in 2019 so that the water level in the upper,
middle, and lower reaches is maintained at 60.9m, 37.7m, and 27.7-27.8m, respectively.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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| eISSN: | 2083-5906 |
| ISSN: | 1230-1485 |
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