2016
DOI: 10.17795/jjhs-33014
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A System Dynamics Model to Analyze Nitrate and Ammonia in Reservoirs and Lakes

Abstract: Background: This paper developed a system dynamics model to stimulate nitrate and ammonia in reservoirs. Most algae and plants in surface water use ammonia and nitrate as nitrogen sources. The role of these nutrients is evident on algae and also cyanobacterial growth. Nowadays, computer tools, especially mathematical modeling, are often used to manage these chemicals in water bodies.

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Cited by 2 publications
(5 citation statements)
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“…They should, as a matter of simplicity, provide good information to decision makers. A good model should be powerful, adaptable, accessible, user friendly, cost effective and flexible (Samaei et al 2016b). In this research a mathematical model was developed to simulate the phosphorus in WSPs.…”
Section: Discussionmentioning
confidence: 99%
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“…They should, as a matter of simplicity, provide good information to decision makers. A good model should be powerful, adaptable, accessible, user friendly, cost effective and flexible (Samaei et al 2016b). In this research a mathematical model was developed to simulate the phosphorus in WSPs.…”
Section: Discussionmentioning
confidence: 99%
“…The model presented in this research discusses a simulation tool which estimates SRP in Yazd wastewater stabilization ponds based on the system dynamics approach. In order to simplify the model, the pond is considered as a continuous stirred rank reactor (CSTR) (Kehl et al 2009; Samaei et al 2016b). The structure of the actual model in detail as programmed into VenSim ® PLE 7.1.…”
Section: Methodsmentioning
confidence: 99%
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“…From the Pearson correlation analysis, NH þ 4 showed negative correlation with NO À 3 (r ¼À0.28). This means that changes in NH þ 4 of water are associated with those in nitrates (NO À 3 ): when NH þ 4 decrease, an increase of NO À 3 take place because of the oxidation of ammonium to nitrates (after an intermediate stage of nitrites) in which a group of aerobic bacteria are involved (Reza Samaei et al, 2016). Strong positive correlations were found b e t w e e nF e ,M n ,C a ,M g ,P ba n dZ ns u c ha s :F e -M n( r ¼ 0.93), Fe-Ca (r ¼ 0.86), Fe-Zn (r ¼ 0.82), Mn-Ca (r ¼ 0.85) and Zn-Pb (r ¼ 0.83).…”
Section: Dippong Et Almentioning
confidence: 99%