Water quality–quantity management in river–reservoir system using sustainability‐based simulation‐optimization meta‐model approach

Author(s):  
Fariborz Masoumi ◽  
Saeid Najjar‐Ghabel ◽  
Seyyed Nasser Bashi Azghadi
Author(s):  
Zhenyu Zhang ◽  
Jinliang Huang ◽  
Min Zhou ◽  
Yaling Huang ◽  
Yimin Lu

A coupled model is an effective tool to understand the nutrient fate associated with hydrodynamic and ecosystem processes and thereby developing a water resource management strategy. This paper presents a coupled modeling approach that consists of a watershed model and a hydrodynamic model to evaluate the nutrient fate in a river–reservoir system. The results obtained from the model showed a good agreement with field observations. The results revealed that the Shuikou reservoir (Fuzhou, China)exhibited complicated hydrodynamic characteristics, which may induce the pattern of nutrient export. Reservoirs can greatly lower water quality as a result of decreasing water movement. Three scenarios were analyzed for water management. The NH3-N (Ammonia Nitrogen) decreased sharply in the outlet of Shuikou reservoir after NH3-N level in its tributary was reduced. After removing the farming cages, the water quality of the outlet of Shuikou reservoir was improved significantly. The DO (Dissolved Oxygen) had increased by 3%–10%, NH3-N had reduced by 5%–17%, and TP (Total Phosphorus) had reduced by 6%–21%. This study demonstrates that the proposed coupled modeling approach can effectively characterize waterway risks for water management in such a river–reservoir system.


2021 ◽  
Vol 13 (6) ◽  
pp. 3457
Author(s):  
Łukasz Gruss ◽  
Mirosław Wiatkowski ◽  
Krzysztof Pulikowski ◽  
Andrzej Kłos

Assessing the changing parameters of water quality at different points in the river–reservoir system can help prevent river pollution and implement remedial policies. It is also crucial in modeling water resources. Multivariate statistical analysis is useful for the analysis of changes in surface water quality. It helps to identify indicators that may be responsible for the eutrophication process of a reservoir. Additionally, the analysis of the water quality profile and the water quality index (WQI) is useful in assessing water pollution. These tools can support and verify the results of a multivariate statistical analysis. In this study, changes in water quality parameters of the Turawa reservoir (TR), and the Mała Panew river at the point below the Turawa reservoir (bTR) and above the Turawa reservoir (aTR), were analyzed. The analyzed period was from 2019 to 2020 (360 samples were analyzed). It was found that TN, NO2-N, and NO3-N decreased after passing through the Turawa reservoir. Nevertheless, principal component analysis (PCA) and redundancy analysis (RDA) showed that NO2-N and NO3-N contribute to the observed variability of the water quality in the river-reservoir system. PCA showed that pH and PO4-P had a lower impact on the water quality in the reservoir than nitrogen compounds. Additionally, RDA proved that the values of the NO3-N and NO2-N indicators obtained the highest values at the aTR point, PO4-P at the bTR, and pH at the TR. This allows the conclusion that the Turawa reservoir reduced the concentration of NO2-N and NO3-N in comparison with the concentration of these compounds flowing into the reservoir. PCA and RDA showed that both parameters (NO2-N and NO3-N) may be responsible for the eutrophication process of the Turawa reservoir. The analysis of short-term changes in water quality data may reveal additional sources of water pollution. High temperatures and alkaline reaction may cause the release of nitrogen and phosphorus compounds from sediments, which indicates an increased concentration of TP, PO4-P, and Norg in the waters at the TR point, and TP, PO4-P, and NH4-N concentrations at the bTR point. The water quality profile combined with PCA and RDA allows more effective monitoring for the needs of water management in the reservoir catchment area. The analyzed WQI for water below the reservoir (bTR) was lower than that of the reservoir water (TR), which indicates an improvement in water after passing through the reservoir.


Water ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 822 ◽  
Author(s):  
Dedi Liu ◽  
Jiayu Zhang ◽  
Yujie Zeng ◽  
Youjiang Shen

Most water supply and hydropower generation is obtained from the river–reservoir system, and wastewater pollutants are also dumped into the system. Increasing water demand and consumption have caused the water supply, wastewater pollutant management and hydropower generation sectors to be interlinked and to reinforce each other in the system. A physical nexus across water supply, wastewater management and hydropower generation sectors for a river–reservoir system was developed based on the analytical water quality and hydropower generation equations. Considering the Jinghong hydropower reservoir, located in the middle and lower reaches of the Lancangjiang River Basin, as a case study, both the wastewater pollutant management target and water inflow from the upstream as the external and boundary conditions, were employed to establish the effects of the external and boundary conditions on the nexus. It was demonstrated that the nexus of water supply and hydropower generation sectors does not vary with the water quality indicators and its protection target, without the separation of environmental flow in hydropower generation flow. In addition, the amount of hydropower generation decreases with increasing water supply. However, the lapse rates of allowable wastewater pollutants–water supply differ based on the water inflow and the wastewater pollutant management sectors, while the efficiency of hydropower generation and the sensitivity of allowable wastewater pollutants per amount of water supply are considered to be unrelated to the water inflow and wastewater pollutant management target conditions. The quantitative nexus developed through the proposed equation not only contributes to a more complete understanding of the mechanism of cross-connections, but also in creation of specific water protection and utilization measures, which is also the focus of the water–energy nexus.


2021 ◽  
Vol 27 ◽  
pp. e01541
Author(s):  
Jingting Wang ◽  
Hanbing Fan ◽  
Xiaojia He ◽  
Fangbo Zhang ◽  
Jianbo Xiao ◽  
...  

2022 ◽  
Vol 112 ◽  
pp. 343-354
Author(s):  
Jun Yang ◽  
Mingrui Zhou ◽  
Kaifeng Yu ◽  
Karina Yew-Hoong Gin ◽  
Muhammad Hassan ◽  
...  

2017 ◽  
Vol 37 (2) ◽  
pp. 193-214 ◽  
Author(s):  
M. Atikul Islam ◽  
Md. Mostafizur Rahman ◽  
Md. Bodrud-Doza ◽  
Md. Iftakharul Muhib ◽  
Mashura Shammi ◽  
...  

2018 ◽  
Vol 166 ◽  
pp. 320-327 ◽  
Author(s):  
Yihan Chen ◽  
Kaifeng Yu ◽  
Muhammad Hassan ◽  
Cong Xu ◽  
Bo Zhang ◽  
...  

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