Modeling study of residence time and water age in Dahuofang Reservoir in China

Shen, Yongming; Wang, Jinhua; Zheng, Binghui; Hong, Zhen; Feng, Yue; Wang, Zaixing; Yang, Xu

doi:10.1007/s11433-010-4207-7

Cited by 26 publications

(9 citation statements)

References 43 publications

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“…This approach not only takes advantages of finite-element methods for grid flexibility and finite-difference methods for numerical efficiency but also provides a good numerical representation of momentum, mass, salt, and heat conservation. It has been successfully applied to many water bodies such as estuaries, lakes, and coastal bays [15][16][17][18][19][20][21]. The hydrodynamic model is introduced and described.…”

Section: Physical Modelmentioning

confidence: 99%

Three-dimensional numerical modelling of water quality in Dahuofang Reservoir in China

Wang

Shen

Hong

et al. 2011

Sci. China Phys. Mech. Astron.

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A three-dimensional eutrophication model was applied to assist the management of Dahuofang Reservoir in China. Transport processes were obtained from the three-dimensional, finite volume hydrodynamic model. The hydrodynamic model was verified for a one-year time period in 2006. Our simulation reproduced intra-annual variation of stratification. The simulated variation of vertical thermal structures also matched observations. The water quality model included 8 state variables, including dissolved oxygen, phytoplankton as carbon, carbonaceous biochemical oxygen demand, ammonium nitrogen, nitrate and nitrite nitrogen, ortho-phosphorus, organic nitrogen, and organic phosphorus. Sensitivity of the parameters has been analyzed to decide which process would affect the water quality in the simulation. The water quality verification suggested the model successfully computed the temporal cycles and spatial distributions of key water quality components. The comparison between water quality components before and after the first phase of the water conveyance project suggests that the project has a slight effect on the reservoir ecosystem. The model could be used as a tool to guide physico-biological engineering design or management strategies for Dahuofang Reservoir.Dahuofang Reservoir, reservoir, water quality, hydrodynamic, three-dimensional model PACS: 92.40.qf, 92.40.qc, 92.40.Cy, 92.40.We, 47.85.Dh

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Section: Physical Modelmentioning

confidence: 99%

Three-dimensional numerical modelling of water quality in Dahuofang Reservoir in China

Wang

Shen

Hong

et al. 2011

Sci. China Phys. Mech. Astron.

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“…The issue of drinking water security plays a decisive role in the national economy and social wellbeing in China [2,3]. With the enormous development of aquaculture, water pollution in reservoirs has become a serious problem with the water quality of drinking water source directly influencing people's health, which is related to the economic development and stability of the general social situation.…”

Section: Introductionmentioning

confidence: 99%

“…Many studies have indicated that the inflow discharges will affect the variations of pollutants or nutrients in reservoirs [3][4][5][32][33][34]. As the backup drinking water source reservoir for Changde City in China, the Huangshi Reservoir, with multiple tributaries, is currently suffering from the threat of eutrophication, with the influence of pollutants or nutrients from the tributaries of Huangshi Reservoir having not been taken into consideration.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Method for Accounting for Water Environmental Capacity of the River–Reservoir Combination System

Zhao

Chen

et al. 2018

Water

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Abstract:The security of drinking water is a serious issue in China and worldwide. As the backup source of drinking water for the Changde City in China, the Huangshi Reservoir suffers from the threat of eutrophication due to the water quality of the reservoir ecosystem being affected by the tributaries that carry Non-Point Source (NPS) pollutants. The calculation of the water environmental capacity (WEC) can provide a scientific basis for water pollution control, which refers to the maximum amount of pollutants that the water can accommodate. In this paper, according to the hydrological characteristics of the river-reservoir combination system, a one-dimensional (1-D) water quality model and the Environmental Fluid Dynamics Code (EFDC) model were chosen to calculate the water environmental capacity of each functional zone in this basin. The quantity control of pollution from the tributaries was conducted based on the combined results of the water environmental capacity calculation from the EFDC model and a one-dimensional (1-D) river water quality model. The results show that total water environmental capacity of the tributaries included a chemical oxygen demand (COD) of 421.97 tons; ammonia nitrogen (NH 3 -N) of 40.99 tons; total nitrogen (TN) of 35.94 tons; and total phosphorus (TP) of 9.54 tons. The water environmental capacity of the Huangshi Reservoir region accounts for more than 93% of the total capacity. The reduction targets of the major pollutants in the Huangshi Reservoir and its four major input rivers, which are, namely, the Bamao River, the Longtan River, the Fanjiafang River, and the Dongtan River, have been determined to achieve the water quality objectives for the reservoir in 2020 and 2025. The results will be helpful for the local water quality management and will provide a valuable example for other similar water source reservoirs.

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“…Water age, which is defined as ''the time that has elapsed since the particle under consideration left the region in which its age is prescribed as being zero" (Delhez et al, 1999), is a useful indicator for the temporal and spatial quantification of the transport time of pollutants (Takeoka, 1984;Boynton et al, 1995;Delhez et al, 1999;Shen and Wang, 2007;Li et al, 2011). The concept of water age has been extensively applied in coastal water areas with intense water exchange, which is induced by tides and wind (Deleersnijder et al, 2001;Liu and Huang, 2009;Liu et al, 2012), and lakes and reservoirs with intense water movement, which is induced by human regulations Shen et al, 2011;Wu et al, 2013). These studies also explored the dominant controlling factors of water age, such as the inflow/outflow and wind.…”

Section: Introductionmentioning

confidence: 99%

Impact of revised thermal stability on pollutant transport time in a deep reservoir

Wang

Jiang

et al. 2016

Journal of Hydrology

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Keywords:Thermal stratification Revised Schmidt stability Water age Deep reservoir Three-dimensional model s u m m a r y Thermal stability (Schmidt stability) and water age, which are significantly related to water quality and algae bloom in deep reservoirs, are two crucial indicators of stratification strength and pollutant transport time, respectively. Here, the original Schmidt stability, which was derived from a onedimensional assumption, was theoretically extended to a three-dimensional water body. In addition, a three-dimensional model was verified for the case study of Hongfeng Reservoir in China based on data from 2009 and 2010. Although the revised stability was similar to the original stability of Hongfeng Reservoir, which occurred at a relatively low level, the greater stratification in other deep water bodies would enhance their difference. Air temperature and water depth were the most important factors of the temporal variation in stability and the spatial variation in stability, respectively. The pollutant transport processes in the Hongfeng Reservoir was very complex with alternate appearances of overflow, interflow and underflow, depending on the season. The spatial water age was primarily determined by the morphometry and the inflow/outflow (with the highest water age in North Lake), whereas the vertical difference in the water age among the layers was primarily controlled by thermal stratification. Negative linear relationships between the average stability and the water ages of the bottom layers in three representative sites during summer were observed. Positive linear relationships between the average stability and the water ages of the surface layers were also observed. These findings enable a better understanding of the hydrodynamic and pollutant transport processes in a deep reservoir.

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Modeling study of residence time and water age in Dahuofang Reservoir in China

Cited by 26 publications

References 43 publications

Three-dimensional numerical modelling of water quality in Dahuofang Reservoir in China

Three-dimensional numerical modelling of water quality in Dahuofang Reservoir in China

An Integrated Method for Accounting for Water Environmental Capacity of the River–Reservoir Combination System

Impact of revised thermal stability on pollutant transport time in a deep reservoir

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