Modelagem otimizada de indicadores biológicos de qualidade da água

Gabriel da Costa Cantos Jerônimo; Luiz Felipe Ramos Turci; Paulo Augusto Zaitune Pamplin; Patrícia Neves Mendes

doi:10.36659/dae.2020.011

Modelagem otimizada de indicadores biológicos de qualidade da água

Revista DAE ◽

10.36659/dae.2020.011 ◽

2019 ◽

Vol 221 (68) ◽

pp. 131-141

Author(s):

Gabriel da Costa Cantos Jerônimo ◽

Luiz Felipe Ramos Turci ◽

Paulo Augusto Zaitune Pamplin ◽

Patrícia Neves Mendes

Keyword(s):

Population Growth ◽

Logistic Model ◽

Growth Models ◽

Lemna Minor ◽

Growth Data ◽

Model Quality ◽

Nonlinear Growth ◽

Statistical Indicators ◽

Selection Of

Resumo 27/06/2018 DOI: https://doi.org/10.36659 /dae.2020.011 Turci, L. F. R Pamplin, P. A. Z https://orcid.org/0000-0001-7516-0963 https://orcid.org/0000-0001-7318-9121 O estudo de plantas aquáticas (macrófitas) é importante, uma vez que essas plantas apresentam potencial de utilização em estudos de ecotoxicologia, como bioindicadores no tratamento de águas residuárias. A mode- lagem criteriosa do crescimento dessas plantas, especificamente a Lemna minor, é útil na determinação das condições de otimização dessas aplicações; assim, deseja-se sempre obter o modelo que melhor represente a dinâmica de crescimento populacional da planta em estudo. Neste trabalho, apresenta-se uma metodologia de ajuste e seleção de modelos de crescimento não lineares com base em indicadores estatísticos que servem como avaliadores de qualidade dos modelos. Para ilustrar o uso da metodologia, foi feito o cultivo de Lemna minor em meio Steinberg e foram ajustados três modelos aos dados médios de crescimento de suas frondes, selecionando o modelo Logístico como o melhor. Palavras-chave: Modelo de crescimento populacional. Avaliadores de qualidade. Lemna minor. Abstract The study of aquatic plants (macrophytes) is important since such plants present a potential utilization in ecotoxi- cology as bioindicators, as well in wastewater treatment. The criterious growth modelling of such plants, specifically Lemna minor, is useful for the determination of the optimal conditions of mentionedin applications - so one always looks for the best model that represents the dynamic of population growth of the plant in study. This work presents a methodology of adjustment and selection of nonlinear growth models based on statistical indicators, which work as quality evaluators for the models. To illustrate this methodology, Lemna minor was grown in Steinberg environ- ment, and three models were fitted to the fronds growth data, the Logistic model was selected as the best model. Keywords: Population growth model. Quality evaluators. Lemna minor.

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Comparison and estimation of the growth curve models of Hanwoo steer (Bos taurus coreanae)

Indian Journal of Animal Research ◽

10.18805/ijar.b-916 ◽

2018 ◽

Author(s):

Hu-Rak Park ◽

Seung-Hoon Eum ◽

Seung-Hee Roh ◽

Jakyeom Seo ◽

Seong-Keun Cho ◽

...

Keyword(s):

Body Weight ◽

Logistic Model ◽

Bos Taurus ◽

Growth Models ◽

Logistic Models ◽

Regression Equations ◽

Von Bertalanffy ◽

Growth Data ◽

Growth Ratio ◽

Mean Square Errors

The present study was conducted to estimate and compare the three types of growth models in Hanwoo steer (Bos aurus coreanae). The Gompertz, Von Bertalanffy, and Logistic nonlinear models were used. A total of 2,239 Hanwoo steers (Bos taurus coreanae) from 6 months to 24 months old (2003 to 2014) and 8,916 growth data from the Hanwoo improvement Center were used to estimate the growth model which included three parameters. These parameters were A, mature body weight; b, growth ratio; and k, intrinsic growth rate. Regression equations using the Gompertz, Von Bertalanffy, and Logistic models were calculated as respectively. The mean square errors (MSEs) for each model were 1945.9, 1958.7, and 1935.0, respectively. The equation using the Logistic model showed the lowest value among three models. The estimated birth weights from the Gompertz, Von Bertalanffy, and Logistic models were 50.35 kg, 36.94 kg, and 74.13 kg, respectively. Furthermore, the estimated mature weights from the Gompertz, Von Bertalanffy, and Logistic models were 919.0 kg, 1043.3 kg, and 770.0 kg, respectively. In addition, the estimated age and body weight at inflection from the Gompertz, Von Bertalanffy, and Logistic models were 349.0 days and 338.1 kg, 317.9 days and 308.2 kg, and 397.8 days and 385.0 kg, respectively. Based on the results, we concluded that the regression equation using the Logistic model was the most appropriate among the growth models for measuring data. However, further studies would be needed in order to obtain more accurate parameters using a much wider period of data from birth to shipping age.

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MENENTUKAN MODEL PERTUMBUHAN PENDUDUK PROVINSI SUMATERA BARAT

Jurnal Matematika UNAND ◽

10.25077/jmu.2.4.54-58.2013 ◽

2013 ◽

Vol 2 (4) ◽

pp. 54

Author(s):

Lindo Febdian ◽

Efendi .

Keyword(s):

Population Growth ◽

Logistic Model ◽

Total Population ◽

Growth Models ◽

Exponential Model ◽

Central Bureau ◽

Geometry Model ◽

West Sumatra ◽

Model Geometry ◽

Population Growth Models

This research examines the population growth models which is used to estimate the total population of West Sumatra in the future. In this research, we use thesecondary data obtained from BPS (Central Bureau of Statistics). The data are population censuses in 1980, 1990, 2000 and 2010. The models in this study are linier model,geometry model, exponential model and logistic model. Based on the results absoluteerror of the growth models, logistic model with population growth is the best model toproject the population of West Sumatra in 2020.

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Evaluation of the critical points of the most adequate nonlinear model in adjusting growth data of ‘green dwarf’ coconut fruits

Revista Brasileira de Fruticultura ◽

10.1590/0100-29452021726 ◽

2021 ◽

Vol 43 (1) ◽

Author(s):

Édipo Menezes da Silva ◽

Ariana Campos Fruhauf ◽

Edilson Marcelino Silva ◽

Joel Augusto Muniz ◽

Tales Jesus Fernandes ◽

...

Keyword(s):

Regression Analysis ◽

Critical Points ◽

Growth Models ◽

Nonlinear Models ◽

Quality Criteria ◽

Northeastern Brazil ◽

Growth Data ◽

Maximum Acceleration ◽

Income Source ◽

Nonlinear Growth

Abstract ‘Green Dwarf’ coconut is a fruit of great economic interest, since all its components are used, in addition to water, its main component. It is a culture of humid tropics, widely produced in northeastern Brazil, being an important income source for the region. The phenology study of this type of fruit is extremely important, but there are few studies in literature. Regression models, especially nonlinear growth models, can be of great value to understand how fruit growth behaves. The scarcity of works of this nature may be linked to some difficulties in estimating parameters of nonlinear models, such as assigning initial values to the itterative process. Overcoming this difficulty, for regression analysis, linear or not, several steps need to be respected to ensure the validity of information. Much information can be extracted from nonlinear growth models, such as the asynotic value, growth rate and critical points (maximum acceleration point, inflection point, maximum deceleration point and asynotic deceleration point). The aim of this work was to describe the stages of nonlinear regression analysis and to estimate the critical points of ‘Green Dwarf ’ coconut growth curves. After initial adjustments, the only unmet assumption was independence, adding a first order autoregressive term. Again, models were adjusted and all parameters were significant, with both models, Gompertz and Logistic, adjusting well to data, with slight advantage for the Logistic model with better adjustment quality criteria values, with maximum expected LED and LEDKP values of 21.4037 cm and 21.5478 cm, respectively. The x and y axis of critical points were estimated, with values that can help producers to make more objective decisions about the appropriate time to harvest coconut fruits, considering the most diverse uses of this type of fruit.

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Systematic procedure for the determination of the nature of the solutes prior to the selection of the mobile phase parameters for optimization of reversed-phase ion-pair chromatographic separations

Journal of Chromatography A ◽

10.1016/s0021-9673(01)84371-5 ◽

1989 ◽

Vol 478 (1) ◽

pp. 21-38 ◽

Cited By ~ 1

Author(s):

G Low

Keyword(s):

Mobile Phase ◽

Reversed Phase ◽

Ion Pair ◽

Chromatographic Separations ◽

Systematic Procedure ◽

Selection Of

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DETERMINING THE DESALINATION UNIT COMPOSITION FOR COSTAL AREAS AND SMALL ISLANDS USE ANALYTIC HIERARCHY PROCESS

Jurnal Rekayasa Lingkungan ◽

10.29122/jrl.v9i1.1986 ◽

2017 ◽

Vol 9 (1) ◽

Author(s):

Imam Setiadi ◽

Dinda Rita K. Hartaja

Keyword(s):

Analytic Hierarchy Process ◽

Energy Demand ◽

Pairwise Comparison ◽

Small Islands ◽

Ahp Method ◽

Analytic Hierarchy ◽

Comparison Research ◽

Hierarchy Process ◽

Selection Of

Selection of the appropriate composition desalination units can be done with a variety of method approaches, one of the method is the Analytic Hierarchy Process. In determining the desalination unit with AHP method to consider is setting a goal, an alternative criteria and pairwise comparison. Research for the determination of the exact composition of the desalination unit in order to achieve sustainable drinking water suppy in coastal areas and small islands has been conducted. The results of the study are as follows, the energy demand of 50.83%, operator costs of 26.64%, maintenance costs of 14.13% and chemical requirement 8.4%. For an alternative composition desalination unit of RO 10 m3 / day is the best alternative composition with value of 59.61%, the composition of the next alternative is RO 20 m3/ day of 30.40% and the last alternative of the desalination unit composition is RO 120 m3/ day of 09.99%.Key words : Desalination, Mukti Stage Flash Composition, AHP

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Population Change, Modernization and Welfare. By Joseph Spengler. Prentice-Hall Inc., Englewood Cliffs, N.J. 1974.

The Pakistan Development Review ◽

10.30541/v16i2pp.220-222 ◽

1977 ◽

Vol 16 (2) ◽

pp. 220-222

Author(s):

Zeba A. Sathar

Keyword(s):

Population Growth ◽

Population Change ◽

Population Control ◽

Stable Condition ◽

Developed Countries ◽

Wide Field ◽

Wide Scale ◽

Socio Economic Variables ◽

Almost All

The book covers a wide field, touching on almost all aspects of popula¬tion change on a world-wide scale. It discusses, using world and country data, the relationships between demographic and socio-economic variables, and elaborates on" their relative importance in the determination of population problems which confront the world as a whole and nations individually. Policies designed to alleviate these problems are discussed with an emphasis on those related to population control. The first chapter is entitled "Population Growth: Past and Prospective" and reviews the various parameters associated with population change in the past and in the future. It touches upon the concept of a stable population in order to show the elements which cause a population to change (i.e. remove it from its stable condition). The main elements of change, population growth, migration, mortality and natality are discussed individually. The chapter is concluded by a description of the main differences in these elements and other socio-economic conditions as they exist in the less-developed and developed countries.

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