Calculation of Comprehensive Ecological Flow with Weighted Multiple Methods Considering Hydrological Alteration

Xing, Zhenxiang; Wang, Yinan; Gong, Xinglong; Jingyan, Wu; Fu, Qiang

doi:10.3390/w10091212

Cited by 13 publications

(4 citation statements)

References 20 publications

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“…In addition, the river flow assurance is calculated based on the flow within the river reaching a set ecological flow threshold. Usually, the first step in calculating the ecological flow assurance degree is to calculate the appropriate ecological flow threshold within the river, and the limitations of each method in calculating the appropriate ecological flow are the source of the error in the results of the ecological flow assurance degree of the river (Xing et al, 2018). To reduce the error of the calculation results, we used two methods (RVA method and KDE method) to determine the river ecological flow thresholds reasonably in this study.…”

Section: Uncertainty Analysesmentioning

confidence: 99%

Quantitative assessment of ecological flow in the Yellow River under changing environments

Guo,

Jiao,

Wang

et al. 2024

Preprint

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Studying the streamflow characteristics of the Yellow River mainstem under changing environments is of great significance to the management and sustainable development and utilization of water resources in its basin. In this paper, a long short-term memory (LSTM) model is used to restore the flow characteristics of the mainstream of the Yellow River under natural conditions, and the range of variation approach (RVA) and the nonparametric kernel density estimation (KDE) method are combined to quantitatively assess the impact of the changing environment on the streamflow. The study shows that: (1) The hydrological variability of the Yellow River occurred in 1985, and the degree of variability ranged from 26–58%, which is moderate. (2) The annual ecological flow value of the Yellow River ranges from 560 ~ 1001 m3/s, and the annual average ecological flow guarantee is 43%; (3) Through LSTM simulation (NSE > 0.7, R2 > 0.8), it is concluded that the ecological flow assurance in the natural situation of the Yellow River is higher than the measured value, which is mainly affected by human activities, and its contribution rate is more than 52%. This shows that the river ecosystem of the mainstem of the Yellow River is relatively unstable and needs further management.

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Section: Uncertainty Analysesmentioning

confidence: 99%

Quantitative assessment of ecological flow in the Yellow River under changing environments

Guo,

Jiao,

Wang

et al. 2024

Preprint

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“…The hydrological approach is one of the most applied methods, and from a hydrological point of view it basically fulfills the ecological requirements of riverine organisms (Wang. et al, 2001;Xing et al, 2018).…”

Section: Introductionmentioning

confidence: 98%

Calculation of River Ecological Flow Based on Multiple Hydrological Methods

Wei,

Li,

Liu

et al. 2023

Preprint

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Under the backdrop of increasing water utilization, river ecosystem problems continue to emerge. Determining the ecological flow of rivers is one of the keys to the comprehensive restoration of river ecosystems. This paper determines the operability of runoff sequences by means of the Mann-Kendal test, quantifies the minimum ecological flow through five representative hydrological methods, including Intra-year distribution (IYD), Flow during curve (FDC), Q90, Monthly minimum average flow (MMAF) and Average flow in the driest month (AFDM), and calculates the suitable ecological flow by the monthly frequency (M-F) method in three different scenarios. In addition, a comprehensive comparison of the methods is made from various aspects to give the recommended methods. Taking the Shaying River basin as the research objects, the AFDM method achieves the best satisfaction in terms of water demand, the Q90 method and the FDC method have the highest satisfaction level, and IYD method best meet the requirements of hydrological rhythms. The suitable ecological flow derived from the M-F method under Scenario a is optimally satisfactory in all respects. It is recommended to determine the minimum and suitable ecological flow processes by IYD method and the result under scenario b, respectively. This study can be used to provide a scientific and effective reference basis for integrated river management.

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“…With wetland area changes, the regional hydrological conditions will be affected [36], especially the runoff regulation and storage function [15]. Among the indexes describing runoff regulation and storage function, the Gini coefficient calculates the area of the Lorenz curve to show the uniformity of runoff distribution [37], and the streamflow regulation index (SRI) compares the variation coefficients of precipitation and runoff to show the runoff regulation and storage function in a region.…”

Section: Introductionmentioning

confidence: 99%

Attribution Analysis on Areal Change of Main Wetland and Its Influence on Runoff in the Naolihe River Basin

Ding,

Zeng,

Yang

et al. 2023

Water

Self Cite

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Wetlands have powerful runoff regulation functions, which can effectively store and retain surface runoff. The runoff regulation function of wetlands is affected by wetland areas, which affect the capacity of flood control. To explore the law of the area change of the main wetlands of the Naolihe River Basin (MWNRB), the visual interpretation method was used to extract wetlands. To identify the reasons for area changes in the MWNRB, the maximum likelihood method, minimum distance method, and neural network method were used to classify land use types from remote sensing images; the M-K variation point test and Theil-Sen trend analysis were used to test the variation point and calculate the trend of precipitation and temperature series. To clarify the influence of wetland areas on runoff, the Gini coefficient and SRI of runoff were used to calculate runoff temporal inhomogeneity. The results showed that the area of the MWNRB obviously decreased, with 74.5 × 106 m2/year from 1993 to 2008, and increased slowly from 2008 to 2015, with 27.7 × 106 m2/year. From 1993 to 2008, 50.74% and 38.87% of wetlands were transformed into paddy fields and dry fields, respectively. From 2008 to 2015, 61.69% and 7.76% of wetlands were transformed from paddy fields and dry fields, respectively. The temperature of the MWNRB increased slowly by 0.04 °C/year from 1993 to 2008 and increased obviously by 0.16 °C/year from 2008 to 2015. The precipitation decreased by 5.6–8.1 mm/year and increased by 16.6–41.2 mm/year in 1993–2008 and 2008–2015, respectively. Compared with precipitation and temperature, land use change caused by human activities is the main cause of wetland area change. The area change of the MWNRB has a certain influence on the runoff regulation and storage capacity. The Gini coefficient and SRI index increased from 0.002/year (0.008) to 0.023/year from 1993 to 2008 and decreased from 0.046/year (0.045) to 0.161/year from 2008 to 2015, respectively.

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Calculation of Comprehensive Ecological Flow with Weighted Multiple Methods Considering Hydrological Alteration

Cited by 13 publications

References 20 publications

Quantitative assessment of ecological flow in the Yellow River under changing environments

Quantitative assessment of ecological flow in the Yellow River under changing environments

Calculation of River Ecological Flow Based on Multiple Hydrological Methods

Attribution Analysis on Areal Change of Main Wetland and Its Influence on Runoff in the Naolihe River Basin

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