Temat: Multiple Regression - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Dynamic modelling of an anaerobic reactor treating coffee wet wastewater via multiple regression model
Autorzy:: Guardia-Puebla, Yans
Llanes-Cedeño, Edilberto
Domínguez-León, Ana Velia
Arias-Cedeño, Quirino
Sánchez-Girón, Victor
Morscheck, Gert
Eichler-Löbermann, Bettina
Powiązania:: https://bibliotekanauki.pl/articles/1841946.pdf
Data publikacji:: 2021
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: coffee wet wastewater
modelling
multiple regression model
upflow anaerobic sludge blanket
UASB
Opis:: A multiple regression model approach was developed to estimate buffering indices, as well as biogas and methane productions in an upflow anaerobic sludge blanket (UASB) reactor treating coffee wet wastewater. Five input variables measured (pH, alkalinity, outlet VFA concentration, and total and soluble COD removal) were selected to develop the best models to identify their importance on methanation. Optimal regression models were selected based on four statistical performance criteria, viz. Mallow’s Cp statistic (Cp), Akaike information criterion (AIC), Hannan–Quinn criterion (HQC), and Schwarz–Bayesian information criterion (SBIC). The performance of the models selected were assessed through several descriptive statistics such as measure of goodness-of-fit test (coefficient of multiple determination, R2; adjusted coefficient of multiple determination, Adj-R2; standard error of estimation, SEE; and Durbin–Watson statistic, DWS), and statistics on the prediction errors (mean squared error, MSE; mean absolute error, MAE; mean absolute percentage error, MAPE; mean error, ME and mean percentage error, MPE). The estimated model reveals that buffering indices are strongly influenced by three variables (volatile fatty acids (VFA) concentration, soluble COD removal, and alkalinity); while, pH, VFA concentration and total COD removal were the most significant independent variables in biogas and methane production. The developed equation models obtained in this study, could be a powerful tool to predict the functionability and stability for the UASB system.
Źródło:: Journal of Water and Land Development; 2021, 50; 229-239
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Determination of soil infiltration rate equation based on soil properties using multiple linear regression
Autorzy:: Harisuseno, Donny
Cahya, Evi N.
Powiązania:: https://bibliotekanauki.pl/articles/1844413.pdf
Data publikacji:: 2020
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: infiltration rate
model performance
multiple linear regression
soil property
Opis:: Infiltration process plays important role in water balance concept particularly in runoff analysis, groundwater recharged, and water conservation. Hence, increasing knowledge concerning infiltration process becomes essential for water manager to gain an effective solution to water resources problems. This study employed multiple linear regression for estimating infiltration rate where the soil properties used as the predictor variable and measured infiltration rate as the response variable. Field measurement was conducted at sixteen points to obtain infiltration rate using double ring infiltrometer and soil properties namely soil porosity, silt, clay, sand content, degree of saturation, and water content. The result showed that measured infiltration rate had an average initial infiltration rate (f0) of 6.92 mm∙min–1 and final infiltration rate (fc) of 1.49 mm∙min–1. Soil porosity and sand content showed a positive correlation with infiltration rate by 0.842, 0.639, respectively, while silt, clay, water content, and degree of saturation exhibited a negative correlation by –0.631, –0.743, –0.66 and –0.49, respectively. Three types of regression equations were established based on type of soil properties used as predictor variables. The model performance analysis was conducted for each equation and the result shows that the equation with five predictor variables fMLR_3 = – 62.014 + 1.142 soil porosity – 0.205 clay, – 0.063 sand – 0.301, silt + 0.07 soil water content with R2 (0.87) and Nash–Sutcliffe (0.998) gave the best result for estimating infiltration rate. The study found that soil porosity contributes mostly to the regression equation that indicates great influence in controlling soil infiltration behavior.
Źródło:: Journal of Water and Land Development; 2020, 47; 77-88
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Development of pedotransfer functions for predicting soil bulk density : a case study in Indonesian small island
Autorzy:: Yanti, Evi Dwi
Mulyono, Asep
Djuwansah, Muhammad Rahman
Narulita, Ida
Putra, Risandi Dwirama
Surinati, Dewi
Powiązania:: https://bibliotekanauki.pl/articles/2048512.pdf
Data publikacji:: 2021
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: bulk density
multiple linear regression
pedotransfer function
soil property
Opis:: Unlike many other countries, tropical regions such as Indonesia still lack publications on pedotransfer functions (PTFs), particularly ones dedicated to the predicting of soil bulk density. Soil bulk density affects soil density, porosity, water holding capacity, drainage, and the stock and flux of nutrients in the soil. However, obtaining access to a laboratory is difficult, time-consuming, and costly. Therefore, it is necessary to utilise PTFs to estimate soil bulk density. This study aims to define soil properties related to soil bulk density, develop new PTFs using multiple linear regression (MLR), and evaluate the performance and accuracy of PTFs (new and existing). Seven existing PTFs were applied in this study. For the purposes of evaluation, Pearson’s correlation (r), mean error (ME), root mean square error (RMSE), and modelling efficiency (EF) were used. The study was conducted in five soil types on Bintan Island, Indonesia. Soil depth and organic carbon (SOC) are soil properties potentially relevant for soil bulk density prediction. The ME, RMSE, and EF values were lower for the newly developed PTFs than for existing PTFs. In summary, we concluded that the newly developed PTFs have higher accuracy than existing PTFs derived from literature. The prediction of soil bulk density will be more accurate if PTFs are applied directly in the area that is to be studied.
Źródło:: Journal of Water and Land Development; 2021, 51; 181-187
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Statistical yielding models of some irrigated vegetable crops in dependence on water use and heat supply
Autorzy:: Vozhehova, Raisa
Kokovikhin, Sergii
Lykhovyd, Pavlo V.
Balashova, Halyna
Lavrynenko, Yuriy
Biliaieva, Iryna
Markovska, Olena
Powiązania:: https://bibliotekanauki.pl/articles/292829.pdf
Data publikacji:: 2020
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: linear model
multiple linear regression analysis
onion
potato
tomato
yield modelling
Opis:: Statistical analysis is helpful for better understanding of the processes which take place in agricultural ecosystems. Particular attention should be paid to the processes of crops’ productivity formation under the influence of natural and anthropogenic factors. The goal of our study was to provide new theoretical knowledge about the dependence of vegetable crops’ productivity on water supply and heat income. The study was conducted in the irrigated conditions of the semi-arid cold Steppe zone on the fields of the Institute of Irrigated Agriculture of NAAS, Kherson, Ukraine. We studied the historical data of productivity of three most common in the region vegetable crops: potato, tomato, onion. The crops were cultivated by using the generally accepted in the region agrotechnology. Historical yielding and meteorological data of the period 1990–2016 were used to develop the models of the vegetable crops’ productivity. We used two approaches: development of pair linear models in three categories (“yield – water use”, “yield – sum of the effective air temperatures above 10°C”); development of complex linear regression models taking into account such factors as total water use, and temperature regime during the crops’ vegetation. Pair linear models of the crops’ productivity showed that the highest effect on the yields of potato and onion has the water use index (R² of 0.9350 and 0.9689, respectively), and on the yield of tomato – temperature regime (R² of 0.9573). The results of pair analysis were proved by the multiple regression analysis that revealed the same tendencies in the crop yield formation depending on the studied factors.
Źródło:: Journal of Water and Land Development; 2020, 45; 190-197
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Community engagement for irrigation water management in Lao PDR
Zaangażowanie społeczności w zarządzanie nawodnieniami w Laotańskiej Republice Ludowo-Demokratycznej
Autorzy:: Kuntiyawichai, K.
Dau, Q. V.
Inthavong, S.
Powiązania:: https://bibliotekanauki.pl/articles/292995.pdf
Data publikacji:: 2017
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: community involvement
irrigation management
Statistical Package for Social Sciences (SPSS)
stepwise multiple regression
Water User Group
grupa użytkowników wody
krokowa regresja wieloraka
Statystyczny Pakiet dla Nauk Społecznych
zaangażowanie społeczności
zarządzanie nawodnieniami
Opis:: Sustainable water resources management and community engagement are essential for water security. Referring to the above context, this study proposed to carry out an assessment of community engagement for irrigation water management in the Nam Haad Left Irrigation Project (NHLIP). The household and community level practices and the farmers’ levels of participation in irrigation water management of the NHLIP were carefully considered. From respondents’ responses, the results revealed that a husband-wife partnership plays a remarkable role in irrigation water management of the NHLIP for rice farming. The results also proved that most of the respondents engage with a high participation level in managing irrigation water of the NHLIP project as illustrated by a high score of 3.80 on the five-point Likert scale. To determine the significance of each activity on farmers’ levels of participation in irrigation water management of the NHLIP, a stepwise multiple regression analysis was employed and the standardized regression equation for determining overall participation levels can be presented as: Y = 0.538x₁ + 0.831x₈ + 0.534x₁₄ + 0.607x₁₈ + 7.572. Finally, the outcomes of this study indicated the willingness of participation in cooperating and supporting the activities related to the improvement and management of the NHLIP project.
Dla bezpieczeństwa wodnego istotne są zrównoważone zarządzanie zasobami wody i zaangażowanie społeczeństwa. W badaniach prezentowanych w niniejszej pracy dokonano oceny zaangażowania społeczności w zarządzanie nawodnieniami w ramach projektu Nam Haad Left Irrigation Project (NHLIP). Szczegółowo rozważano praktyki na poziomie gospodarstwa domowego i społeczności lokalnej oraz poziom uczestnictwa rolników w zarządzaniu nawodnieniami. Wyniki uzyskane z odpowiedzi respondentów wskazują, że znaczący udział w gospodarowaniu wodą do nawodnień upraw ryżu w ramach projektu mają mąż i żona. Wyniki świadczą również, że większość respondentów uczestniczy z dużym zaangażowaniem w projekcie, czego dowodem jest wysoka punktacja (3,80) w pięciostopniowej skali Likerta. Do określenia istotności każdego rodzaju aktywności i udziału rolnika w zarządzanie nawodnieniami w ramach projektu NHLIP zastosowano krokową regresję wieloraką, a standaryzowane równanie regresji opisujące poziom całkowitego zaangażowania ma postać: Y = 0,538x₁ + 0,831x₈ + 0,534x₁₄ + 0,607x₁₈ + 7,572. Podsumowując, wyniki badań wskazują chęć udziału i współpracy w ulepszaniu i zarządzaniu projektem NHLIP.
Źródło:: Journal of Water and Land Development; 2017, 35; 121-128
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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