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Ecological Flow Response in Shaying River Based on Bayesian Hierarchical Model
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Ye ZHAO1, Xiang ZHANG1, Liang-kun DENG1, Xiang FU1, Jun HU2
Water Resources and Power | 2023, 41(11) : 48 - 52
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Water Resources and Power | 2023, 41(11): 48-52
HYDROLOGY, WATER RESOURCES AND ENVIRONMENT
Ecological Flow Response in Shaying River Based on Bayesian Hierarchical Model
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Ye ZHAO1, Xiang ZHANG1, Liang-kun DENG1, Xiang FU1, Jun HU2
Affiliations
  • 1.State Key Laboratory of Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China
  • 2.Institute of Hydroecology, MWR & CAS, Wuhan 430079, China
Published: 2023-11-25 doi: 10.20040/j.cnki.1000-7709.2023.20222365
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Maintaining ecological flow in a river is an important initiative to coordinate water resources development and utilization with river ecological protection. Most of the existing ecological flow calculation methods are limited by insufficient ecological data, difficult ecological modeling. In this paper, a Bayesian hierarchical model based on phytoplankton biomass was established to investigate the hydrological-ecological response relationship. The relationship between phytoplankton biomass and flow and water temperature in pre-flood, flood and post-flood periods was analyzed by taking the Shaying River as a case study. The results show that the Bayesian hierarchical model can identify the complex hydrological-ecological response relationship, and the advantage of hierarchical analysis improves the availability of short series data; The probability of biomass-flow covariate parameter β greater than 0 in pre-flood is 0.683, and the probability of less than 0 in flood is 0.577, and the guarantee of flow in the river channel in pre-flood and the control of discharge in flood have positive effects on phytoplankton biomass; Under the ecological flow conditions that meet the design requirements, the predicted maximum and minimum biomass improvements occur in river section 7 (+32.05% before flood, + 871.80% during flood, and +81.79% after flood) and river section 3 (+3.91% before flood, +1.16% during flood, and +2.89% after flood), respectively.

Bayesian hierarchical model  /  hydrological-ecological response relationship  /  ecological flow  /  phytoplankton biomass  /  Shaying River
Ye ZHAO, Xiang ZHANG, Liang-kun DENG, Xiang FU, Jun HU. Ecological Flow Response in Shaying River Based on Bayesian Hierarchical Model[J]. Water Resources and Power, 2023 , 41 (11) : 48 -52 . DOI: 10.20040/j.cnki.1000-7709.2023.20222365
Year 2023 volume 41 Issue 11
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20222365
  • Receive Date:2022-11-10
  • Online Date:2026-01-27
  • Published:2023-11-25
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  • Received:2022-11-10
  • Revised:2023-02-14
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Affiliations
    1.State Key Laboratory of Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China
    2.Institute of Hydroecology, MWR & CAS, Wuhan 430079, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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