Uncertainty analyses on the calculation of water environmental capacity by an innovative holistic method and its application to the Dongjiang River

Chen, Qiuwen; Wang, Qibin; Li, Zhijie; Li, Ruonan

doi:10.1016/j.jes.2014.06.025

Cited by 26 publications

(9 citation statements)

References 31 publications

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“…A simple mathematical model has low requirements for data and high-calculation speed but low calculation accuracy (Yan et al 2019). The complex mechanism model has high-calculation accuracy, but the data are difficult to obtain, and the calculation efficiency is low (Chen et al 2014). Simple mathematical models include one-dimensional models and two-dimensional models (Zhou et al 2017).…”

Section: The General Frameworkmentioning

confidence: 99%

“…Wang et al (2019) calculated the daily WEC by using the Soil and Water Assessment Tool (SWAT) model, and the results showed that the WEC was positively correlated with rainfall intensity and that nonpoint source pollution had a great impact on the WEC. However, the random uncertainty of factors such as flow and background concentration that were used to calculate the WEC leads to the random uncertainty of the WEC (Chen et al 2014).…”

Section: Introductionmentioning

confidence: 99%

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Uncertainty analysis of water environmental capacity based on the copula model

Shen

Cai

et al. 2022

Preprint

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Water environmental capacity is an important factor in total pollutant control and water environmental management. Due to the uncertainty of the water environment, the uncertainty analysis of water environmental capacity is crucial. Most uncertainty analyses of water environmental capacity do not consider the correlation between various parameters that were used to calculate water environmental capacity. In this study, the copula model of discharge and water quality was constructed to analyze the uncertainty of water environmental capacity. The risk threshold of each river section was calculated when the water environmental capacity was less than 0 in the wet, normal and dry seasons. The Yitong River Basin in Changchun city was taken as a case study. The results showed that the 68.27% confidence level was considered to reduce the uncertainty of water environmental capacity by more than 54.90%. The uncertainty of water environmental capacity in the wet season was the largest, and the risk threshold was the smallest. The risk thresholds for the water environmental capacity of each river reach were all greater than 90% in the dry season. The method of this study can be extended to other basins for uncertainty analysis of water environmental capacity.

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Section: The General Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Uncertainty analysis of water environmental capacity based on the copula model

Shen

Cai

et al. 2022

Preprint

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“…In addition to flow rate, another key parameter for WEC estimation is the integrated degradation coefficient (k), which determines the decay rate of the contaminant in the river channel. In previous studies based on steady-state model, k was usually considered to be a constant [ 3 , 12 , 25 ]. Actually, it has been confirmed that k is simultaneously affected by flow velocity and water temperature [ 24 , 25 , 26 , 27 ].…”

Section: Introductionmentioning

confidence: 99%

New Framework for Dynamic Water Environmental Capacity Estimation Integrating the Hydro-Environmental Model and Load–Duration Curve Method—A Case Study in Data-Scarce Luanhe River Basin

Jin

Chen

Zhao

et al. 2022

IJERPH

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A better understanding of river capacity for contaminants (i.e., water environmental capacity, WEC) is essential for the reasonable utilization of water resources, providing government’s with guidance about sewage discharge management, and allocating investments for pollutant reduction. This paper applied a new framework integrating a modified hydro-environmental model, Soil and Water Assessment Tool (SWAT) model, and load–duration curve (LDC) method for the dynamic estimation of the NH3-N WEC of the data-scarce Luanhe River basin in China. The impact mechanisms of hydrological and temperature conditions on WEC are discussed. We found that 77% of the WEC was concentrated in 40% hydrological guarantee flow rates. While the increasing flow velocity promoted the pollutant decay rate, it shortened its traveling time in streams, eventually reducing the river WEC. The results suggest that the integrated framework combined the merits of the traditional LDC method and the mechanism model. Thus, the integrated framework dynamically presents the WEC’s spatiotemporal distribution under different hydrological regimes with fewer data. It can also be applied in multi-segment rivers to help managers identify hot spots for fragile water environmental regions and periods at the basin scale.

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“…With the acceleration of economic development and urbanization, China's water environment problems have become more and more serious (Zhou et al, 2017). Research and calculation of water environment carrying capacity is one of the foundations of water environment management (Liu et al, 2012a;Chen et al, 2014;Wang et al, 2015). The specific concept of water environment carrying capacity has not yet reached consensus in academia and the understanding of water environment carrying capacity is mainly divided into two types currently.…”

Section: Introductionmentioning

confidence: 99%

Study on Dynamic Water Environmental Capacity of Fenghuangshan Drinking Water Source Area in Three Gorges Reservoir

Liu¹,

Zhu²,

Zhai³

et al. 2021

J ENVIRON INFORM LET

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Research on water environment capacity is an important part of watershed water environment management. Based on the basic theory of water environment capacity, this study obtained and analyzed the dynamic water environment capacity in Fenghuangshan drinking water source area, Three Gorges Reservoir. In this study, eight water indicators were taken as the indicator object, and the dynamic water environment capacity change range from 2012 to 2017 was permanganate index, biochemical oxygen demand, ferrum, ammonia nitrogen, total phosphorus, anionic surfactant, hexavalent chromium and cuprum, in descending order. The the dynamic water environment capacity of anionic surfactant would increase mainly in pre-flood stage and after storage stage and the other indicators would increase mainly in the end of the flood stage and storage stage. Besides, when the difference between inflow and outflow was positive, the dynamic water environment capacity of anionic surfactant would be reduced and other indicators would be increased. Moreover, the results of time-series analysis introduced showed that this method could be used to predict the change trend of dynamic water environment capacity. Overall, the research in this paper could be a new reference for scientists and decision makers in analyzing, predicting and control the change trend of water environment.

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Uncertainty analyses on the calculation of water environmental capacity by an innovative holistic method and its application to the Dongjiang River

Cited by 26 publications

References 31 publications

Uncertainty analysis of water environmental capacity based on the copula model

Uncertainty analysis of water environmental capacity based on the copula model

New Framework for Dynamic Water Environmental Capacity Estimation Integrating the Hydro-Environmental Model and Load–Duration Curve Method—A Case Study in Data-Scarce Luanhe River Basin

Study on Dynamic Water Environmental Capacity of Fenghuangshan Drinking Water Source Area in Three Gorges Reservoir

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