
1.华北水利水电大学,河南 郑州 450046
2.中国水利水电科学研究院 阴山北麓草原生态水文国家观测研究站,北京 100038
3.水利部牧区水利科学研究所,内蒙古 呼和浩特 010020
Received:17 June 2025,
Revised:2025-07-15,
Accepted:15 July 2025,
Online First:08 August 2025,
Published:25 January 2026
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齐青青,凡盼盼,张泽中,等.基于改进年内展布法的塔布河流域河道内生态流量阈值分析[J].人民珠江,2026,47(1):91-103.
QI Qingqing,FAN Panpan,ZHANG Zezhong,et al.Analysis of Ecological Flow Threshold in Channel of the Tabu River Basin Based on Improved Intra-annual Distribution Method[J].PEARL RIVER,2026,47(01):91-103.
齐青青,凡盼盼,张泽中,等.基于改进年内展布法的塔布河流域河道内生态流量阈值分析[J].人民珠江,2026,47(1):91-103. DOI: 10.3969/j.issn.1001-9235.2026.01.010.
QI Qingqing,FAN Panpan,ZHANG Zezhong,et al.Analysis of Ecological Flow Threshold in Channel of the Tabu River Basin Based on Improved Intra-annual Distribution Method[J].PEARL RIVER,2026,47(01):91-103. DOI: 10.3969/j.issn.1001-9235.2026.01.010.
塔布河流域生态环境脆弱,生态补水是恢复其生态功能的关键举措。流域生态需水是维系生态平衡的重要因素,对塔布河西厂汉营断面生态需水量展开科学分析,有助于维护河流生态系统健康。基于1959—2016年塔布河流域西厂汉营水文站的逐月实测径流数据,优化了传统年内展布法的计算过程,采用改进的年内展布法进行该断面河道内基本生态流量计算,将其计算结果与传统年内展布法及其他常用水文学方法的计算结果做对比,结合改进的Tennant法评价标准评价其计算结果。结果表明,改进的年内展布法与年内展布法评价结果差异显著。年内展布法在各月评价中多为“极差”;而改进的年内展布法在1、2、7、11、12月达到“极好最佳状态”,8月为“最佳状态”,7月还出现“非常好—极好”,其余月份多为“差—中”,整体表现优于年内展布法。
The ecological environment of the Tabu River Basin is fragile
with frequent occurrences of desertification
vegetation degradation
and water body shrinkage
which seriously threaten the stability of the local ecosystem. In this context
ecological water replenishment represents a key measure for restoring its ecological functions
as it directly affects the restoration of river habitats
the maintenance of biodiversity
and the enhancement of regional ecological resilience. Basin's ecological water demand serves as a vital factor in maintaining ecological balance
which not only determines the rational allocation of water resources but also provides a scientific basis for formulating ecological protection policies. Therefore
conducting a scientific analysis of the ecological water demand at the Xichang Hanying section of the Tabu River contributes to safeguarding the health of the river ecosystem and promoting the sustainable development of the basin
which is of great practical significance. Based on the monthly measured runoff data from 1959 to 2016 at the Xichang Hanying Hydrological Station in the Tabu River Basin (this data has a long time series and contains rich hydrological information)
the original data was first sorted and preprocessed
and outliers caused by human activities and natural disasters were eliminated to ensure the accuracy and reliability of the data. On this basis
the calculation process of this method was optimized to deal with the defect that the traditional intra-annual distribution method ignores the differences in ecological water demand in different hydrological periods. The study used the improved intra-annual distribution method to calculate the basic in-channel ecological flow at this section. To verify the effectiveness and superiority of the improved method
its calculation results were compared with those calculated by th
e traditional intra-annual distribution method and other commonly used hydrological methods (such as the frequency curve method
the minimum monthly average flow method
and the
Q
p method). At the same time
combined with the improved Tennant method evaluation criteria which are more applicable to seasonal rivers
the calculation results were evaluated. The results show that there is a significant difference in the evaluation results between the improved intra-annual distribution method and the intra-annual distribution method. The intra-annual distribution method is mostly rated as "very poor" in the monthly evaluations
which cannot meet the basic needs of the river ecosystem. In contrast
the improved intra-annual distribution method
which takes into account the actual ecological conditions of the basin
performed excellently in the evaluation: it reached the "excellent-optimal state" in January
February
July
November
and December
reached the "optimal state" in August
showed "very good-excellent" in July
and was mostly rated as "poor-medium" in the remaining months. Its overall performance is significantly better than that of the intra-annual distribution method and than some other commonly used hydrological methods in terms of adaptability.
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