Competitive growth characteristics betweenMicrocystis aeruginosaandCyclotellasp. accompanying changes in river water inflow and their simulation model

2016 ◽  
Vol 64 (3) ◽  
pp. 123-132 ◽  
Author(s):  
Masahiro Mikawa ◽  
Koichi Sugimoto ◽  
Yoshimasa Amano ◽  
Motoi Machida ◽  
Fumio Imazeki
Keyword(s):  
Simulation Model ◽  
River Water ◽  
Growth Characteristics ◽  
Water Inflow ◽  
Competitive Growth

scholarly journals Implementation of Decision Support System for Moscow River Water Supply System Management

2018 ◽  
Author(s):  
Keyword(s):  
Water Resources ◽  
Water Supply ◽  
River Water ◽  
Supply System ◽  
Water Supply System ◽  
Water Inflow ◽  
Information Support ◽  
System Management ◽  
Water Reservoirs ◽  
Moscow River

Centre of registry and cadaster provides with the developed DSS information support for management of the Moscow River water supply system since 2009. Information support includes hydrological and water resources analysis, inflow predictions, evaluation of the current state of MRWSS and development of recommendations for water reservoirs management pattern for a next operation term. The developed recommendations are regularly presented at the sessions of interdepartmental working group of the Moscow-Oka river basin authorities. Analysis of current hydrological state is provided on the base of GIS-technologies. Water inflow is calculated by ECOMAG hydrological model describing the full hydrological cycle of the Moscow River watershed. The technique for prediction of water inflow to reservoirs, based on use of a set of weather scenarios, is presented. Water regimes for 5 water reservoirs and downstream branches of the Moscow, Ruza, Ozerna and Istra rivers for a next planning term, are developed with use of VOLPOW water resources system simulation model. Finally the ways of improvement of the discussed DSS for Moscow River water supply system management are proposed.

The Dynamics of River Water Inflow to the Arctic Ocean

2000 ◽  
pp. 281-296 ◽  
Author(s):  
I. A. Shiklomanov ◽  
A. I. Shiklomanov ◽  
R. B. Lammers ◽  
B. J. Peterson ◽  
C. J. Vorosmarty
Keyword(s):  
Arctic Ocean ◽  
River Water ◽  
Water Inflow ◽  
The Arctic ◽  
The Arctic Ocean

Research on Connected Water Body Self-Purification Capacity Simulation and Effect Analysis

2015 ◽  
Vol 737 ◽  
pp. 715-718
Author(s):  
Hai Jiao Liu ◽  
Ming Yuan Fan ◽  
Yu Zhi Shi ◽  
Xiao Feng Yang
Keyword(s):  
Water Quality ◽  
Simulation Model ◽  
River Water ◽  
Water Body ◽  
Water Network ◽  
Effect Analysis ◽  
Network Construction ◽  
Improvement Effect ◽  
Body Self

Water network construction makes water increased connectivity, for the water self-purification ability also has the corresponding improvement effect. With Xiaoqing River of Guangrao County segment as an example, paper built the simulation model of river water quality based on MIKE11, and simulated the connected water body self-purification capacity. Results show that water body connectivity can improve the water quality of Xiaoqing River to a certain extent.

Hydro-climatic drivers of land-based organic and inorganic particulate micropollutant fluxes: The regime of the largest river water inflow of the Mediterranean Sea

2020 ◽  
Vol 185 ◽  
pp. 116067
Author(s):  
Hugo Delile ◽  
Matthieu Masson ◽  
Cécile Miège ◽  
Jérôme Le Coz ◽  
Gaëlle Poulier ◽  
...  
Keyword(s):  
Mediterranean Sea ◽  
River Water ◽  
Water Inflow ◽  
Climatic Drivers ◽  
The Mediterranean

scholarly journals A Simulation Model of Rosa hybrida Growth Response to Constant Irradiance and Day and Night Temperatures

1994 ◽  
Vol 119 (5) ◽  
pp. 903-914 ◽  
Author(s):  
Douglas A. Hopper ◽  
P. Allen Hammer ◽  
James R. Wilson
Keyword(s):  
Plant Growth ◽  
Simulation Model ◽  
Growth Response ◽  
Growth Characteristics ◽  
Rosa Hybrida ◽  
Stem Length ◽  
Photon Flux ◽  
Growth Responses ◽  
Wide Range ◽  
Plant Growth Characteristics

This paper details the development and verification of ROSESIM, a computer simulation model of the growth of `Royalty' roses (Rosa hybrida L.) based on experimentally observed growth responses from pinch until flowering under 15 combinations of constant photosynthetic photon flux (PPF), day temperature (DT), and night temperature (NT). Selected according to a rotatable central composite design, these treatment combinations represent commercial greenhouse conditions during the winter and spring in the midwestern United States; each selected condition was maintained in an environmental growth chamber having 12-hour photoperiods. ROSESIM incorporates regression models of four flower development characteristics (days from pinch to visible bud, first color, sepal reflex, and flowering) that are full quadratic polynomials in PPF, DT, and NT. ROSESIM also incorporates mathematical models of nine plant growth characteristics (stem length and the following fresh and dry weights: stem, leaf, flower, and total) based on data recorded every 10 days and at flowering. At each design point, a cubic regression in time (days from pinch) estimated the plant growth characteristics on intermediate days; then difference equations were developed to predict the resulting daily growth increments as third-degree polynomial functions of days from pinch, PPF, DT, and NT. ROSESIM was verified by plotting against time each simulated plant growth characteristic and the associated experimental observations for the eight factorial design points defining the region of interest. Moreover, one-way analysis of variance procedures were applied to the differences between ROSESIM predictions and the corresponding observed means for all 15 treatment combinations. At 20 days from pinch, significant differences (P < 0.05) were observed for all nine plant growth characteristics. At 30 and 40 days from pinch, only flower fresh and dry weights yielded significant differences; at flowering, none of the 13 selected responses yielded significant differences. These graphical and statistical comparisons provide good evidence of ROSESIM's ability to predict the growth response of `Royalty' roses over a wide range of constant environmental conditions.

scholarly journals Examination of the Quality Indicators of Haraz River Water, Inflow and Outflow of Water of Fish Farm

2021 ◽  
Vol 15 (3) ◽  
pp. 31
Author(s):  
Azam Ali Khademi ◽  
Mahsa Najafi ◽  
Shahrzad Khoram Nejadian ◽  
Babak Moghadas
Keyword(s):  
Water Quality ◽  
River Water ◽  
Quality Indicators ◽  
Pollution Index ◽  
Water Inflow ◽  
Fish Farms ◽  
Haraz River ◽  
Allowable Range ◽  
Comparison Of The Results ◽  
The Impact

This study was an attempt to examine the quality indicators of Haraz River water inflow and outflow of water of fish farms. This study aimed to prove and assess the water pollution status of Haraz River and investigate the impact of fish farms on river water quality. Sampling was performed in two seasons of summer and autumn of 2015 in seven stations of river water and inflow and outflow of farms water. Quality pollution index includes (temperature, phosphate, nitrate, nitrite, ammonia, electrical conductivity, BOD, COD, PH Were measured. Comparison of the results with the allowable values of Iran code and waste water standards showed that the factors in all samples and both seasons were in the allowable range and the rate of these indicators in autumn is higher than the summer. The amount of ammonia, carbon and total phosphate in summer is higher than the autumn. The findings of the results reveal that the proper quality and cleanliness of Haraz River water in the study area show that the activity of farms doesn&rsquo;t have a significant effect on the quality index of Haraz River water.

Estimation of effective dilution rate to inhibit cyanobacterial blooms based on a novel competitive growth model -Case study in Lake Tega, Japan

2021 ◽  
Author(s):  
Jingnan Li ◽  
Masato Chujo ◽  
Yoshimasa Amano ◽  
Motoi Machida
Keyword(s):  
Simulation Model ◽  
Dilution Rate ◽  
Growth Model ◽  
Water Transfer ◽  
Cyanobacterial Blooms ◽  
Volterra Model ◽  
Phosphorus Concentration ◽  
Competitive Growth ◽  
Significant Discrepancy ◽  
Cyclotella Meneghiniana

Abstract Although water transfer as a functional method to improve water quality and control cyanobacterial blooms in lakes has been used for several decades, there was few studies examining effective dilution rate depending on various water qualities in lakes. It would be due to the scarcity of water transfer execution in fields. Therefore, in order to clarify the optimum dilution rate to suppress cyanobacterial blooms, the competitive growth model based on the Droop model and the Lotka-Volterra model developed for eutrophic conditions was used. First, to verify the wide applicability of the simulation model, a competitive culture experiment between Microcystis sp. and Cyclotella meneghiniana under limited phosphorus and sufficient nitrogen concentration was conducted, then the cell densities of the two species were predicted by using the simulation model. Results of the competitive experiment revealed that there was no significant discrepancy in the growth of Microcystis sp. cell among different dilution groups (p＞0.05), while that of Cyclotella meneghiniana had significant discrepancy between groups (p＜0.05), and the accuracy of the simulation model under limited phosphorus concentration was verified. Based on these results, an exact effective dilution rate for the inhibition of Microcystis blooms in Lake Tega, Japan, was suggested by this novel simulation model. When the dilution rate reaches 13.3%, the Microcystis blooms will hard to occur. The predicted data were also compared with the actual data collected over years in Lake Tega, and its effectiveness has been confirmed.

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