multipurpose reservoir
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2022 ◽  
Vol 15 (2) ◽  
Author(s):  
Mahdi Sedighkia ◽  
Bithin Datta ◽  
Asghar Abdoli

Abstract  The present study proposes a multipurpose reservoir operation optimization for mitigating impact of rice fields’ contamination on the downstream river ecosystem. The developed model was applied in the Tajan River basin in Mazandaran Province, Iran, in which the rice is the main crop. We used soil and water assessment tool (SWAT) to simulate inflow of the reservoir and nitrate load at downstream river reach. Nash–Sutcliffe model efficiency coefficient was used to measure the robustness of SWAT. NSE indicated that SWAT is acceptable to simulate nitrate load of the rice fields. The results of SWAT was applied in the structure of a multipurpose reservoir operation optimization in which three metaheuristic algorithms including differential evolution algorithm, particle swarm optimization and biogeography-based algorithm were utilized in the optimization process. Reliability index, mean absolute error and failure index were used to measure the robustness of the optimization algorithms. Fuzzy Technique for Order of Preference by Similarity to Ideal Solution was utilized to select the best algorithm. Based on results, particle swarm optimization is the best method to optimize reservoir operation in the case study. The reliability index and mean absolute error for water supply are 0.6 and 5 million cubic meters, respectively. Furthermore, the failure index of contamination is 0.027. Hence, it could be concluded that the proposed optimization system is reliable and robust to mitigate losses and nitrate contamination simultaneously. However, its performance is not perfect for minimizing impact of contamination in all the simulated months.


2021 ◽  
Vol 13 (21) ◽  
pp. 11621
Author(s):  
Ion V. Ion ◽  
Antoaneta Ene

In order to evaluate the greenhouse gas (GHG) emissions from a reservoir or from several reservoirs in a country or a climatic zone, simpler or more complex models based on measurements and analyses of emissions presented in the literature were developed, which take into account one or more reservoir-specific parameters. The application of the models in the assessment of GHG emissions from a multipurpose reservoir gave values that are more or less close to the average values reported in the literature for the temperate zone reservoirs. This is explained by the fact that some models only consider emissions caused by impoundment and not degassing, spillway emissions, and downstream emissions, or those that use different calculation periods. The only model that calculates GHG emissions over the life cycle that occur pre-impoundment, post-impoundment, from unrelated anthropogenic sources and due to the reservoir construction is the model used by the G-res tool. In addition, this tool is best suited for multipurpose reservoirs because it allocates GHG emissions for each use, thus facilitating the correct reporting of emissions. The G-res tool used to calculate GHG emissions from the Stânca-Costești Multipurpose Reservoir shows that this is a sink of GHG with a net emission of −5 g CO2eq/m2/yr (without taking into account the emissions due to dam construction).


Water ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 1720
Author(s):  
Namsrai Jargal ◽  
Usman Atique ◽  
Md Mamun ◽  
Kwang-Guk An

Due to rapid eutrophication, sustainable water quality management and supply are essential in drinking water sources and aquatic biota in large reservoirs. We evaluated the potentially crucial factors influencing the algal chlorophyll (CHL-a), nutrients, and the links between the rainfall and other vital elements in a large multipurpose reservoir (Yongdam Reservoir) during 2013–2019. We developed the empirical models on algal CHL-a, total phosphorus (TP), total nitrogen (TN), and TN:TP’s ambient ratios considering the maneuvering influence of Asian monsoons. The intensive rainfall during the monsoon months strongly impacted the nutrient regime and other vital factors. The seasonal patterns of algal CHL-a varied in response to the nutrient contents (TN, TP), suspended solids, and ambient N:P ratios along the longitudinal gradient. The conditional plot analysis, empirical modeling, and observations supported an overall P-limitation scenario, as was evident from the magnitude of N:P ratios (R2 = 0.36, F = 24.9, p < 0.001). Furthermore, the reservoir’s trophic status alluded to the larger particles and blue-green algae during the monsoon and postmonsoon months. The correlation analysis, Mann–Kendall trend test, and principal component analysis illustrated compelling links between CHL-a, TP, and rainfall regime. The outcomes suggested the reservoir was primarily controlled by phosphorus limitation, with an increasing CHL-a tendency along with nitrogen dilution. However, a slight decline in phosphorus was also detected. The Yongdam Reservoir is under the threat of recurrent eutrophication events that could jeopardize this vital drinking water facility due to increasing agricultural and anthropic activities.


2020 ◽  
Vol 590 ◽  
pp. 125542
Author(s):  
Uday Pratap Singh Bhadoriya ◽  
Ashok Mishra ◽  
Rajendra Singh ◽  
Chandranath Chatterjee

2020 ◽  
Vol 35 (2) ◽  
pp. 228
Author(s):  
Imah Solikhatun ◽  
Maridi Maridi ◽  
Maria Theresia Sri Budiastuti

<p>Land conversion has caused the function of the greenbelt for reservoir to be less effective. The management of the greenbelt area is needed to maintain the primary function of the reservoir. Therefore, a vegetation analysis in the greenbelt area is necessary to evaluate the condition of the existing vegetation and community attitude to maintain the greenbelt area. This study aims at identifying the current condition of the greenbelt area and the diversity of vegetation as well as the community attitude at the greenbelt area of multipurpose reservoir of Wonogiri. Vegetation sampling was done by purposive sampling using directed line quadrant method, while community attitude sampling was performed using in-depth interviews. This study found 14 species of vegetation in the greenbelt area. The most significant contribution of vegetation species was shown by the Importance Value Index (IVI), with 14 species of tree in which teak (<em>Tectona grandis L</em>.) was the species with the highest IVI value. The species diversity index was 1.15-1.7 and it was included in the medium category. Reforestation efforts can be continued because the vegetation condition has shown moderate stability. Community attitudes towards the greenbelt largely support the existence of management although people still and will use the land without disturbing the existing plants. The reforestation program that has been carried out in the last few years is expected to be able to restore the greenbelt in support of the reservoir function.</p>


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