Assessment of the effects of human activity and natural condition on the outflow of Syr Darya River: A stepwise-cluster factorial analysis method

Hydrological model parameters are generally considered to be simplified representations that characterize hydrologic processes. Therefore, their influence on runoff simulations varies with climate and catchment conditions. To investigate the influence, a three-step framework is proposed, i.e., a Latin hypercube sampling (LHS-OAT) method multivariate regression model is used to conduct parametric sensitivity analysis; then, the multilevel-factorial-analysis method is used to quantitatively evaluate the individual and interactive effects of parameters on the hydrologic model output. Finally, analysis of the reasons for dynamic parameter changes is performed. Results suggest that the difference in parameter sensitivity for different periods is significant. The soil bulk density (SOL_BD) is significant at all times, and the parameter Soil Convention Service (SCS) runoff curve number (CN2) is the strongest during the flood period, and the other parameters are weaker in different periods. The interaction effects of CN2 and SOL_BD, as well as effective hydraulic channel conditions (CH_K2) and SOL_BD, are obvious, indicating that soil bulk density can impact the amount of loss generated by surface runoff and river recharge to groundwater. These findings help produce the best parameter inputs and improve the applicability of the model.

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A two-stage fuzzy-stochastic factorial analysis method for characterizing effects of uncertainties in hydrological modelling

Hydrological Sciences Journal ◽

10.1080/02626667.2020.1790566 ◽

2020 ◽

Vol 65 (12) ◽

pp. 2057-2071

Author(s):

Y. R. Liu ◽

Y. P. Li ◽

J. Sun

Keyword(s):

Hydrological Modelling ◽

Factorial Analysis ◽

Analysis Method ◽

Two Stage

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A Bayesian-based multilevel factorial analysis method for analyzing parameter uncertainty of hydrological model

Journal of Hydrology ◽

10.1016/j.jhydrol.2017.08.048 ◽

2017 ◽

Vol 553 ◽

pp. 750-762 ◽

Cited By ~ 17

Author(s):

Y.R. Liu ◽

Y.P. Li ◽

G.H. Huang ◽

J.L. Zhang ◽

Y.R. Fan

Keyword(s):

Parameter Uncertainty ◽

Hydrological Model ◽

Factorial Analysis ◽

Analysis Method

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Measuring and Exploring Factors of Shared Leadership in the Context of Indian IT Sector

Journal of Cases on Information Technology ◽

10.4018/jcit.2019040102 ◽

2019 ◽

Vol 21 (2) ◽

pp. 21-38 ◽

Cited By ~ 1

Author(s):

Alka Agnihotri ◽

Shikha Kapoor

Keyword(s):

Factor Analysis ◽

Shared Leadership ◽

Reliability And Validity ◽

Factorial Analysis ◽

Analysis Method ◽

Secondary Sources ◽

Latent Construct ◽

Research Article ◽

Spss Software

This research article explores the factors of shared leadership in IT sector in India. A reliable and a valid scale for the measurement of shared leadership (Scale for Measuring Shared Leadership, SMSL) is therefore developed as the previous researches brought to light the requirement of such scales which relate to the Indian IT sector. An attempt is made to reduce large number of variables, studied in relation to the shared leadership from various books and research journals, to a few workable factors and analyse how the factors derived explain the latent construct of shared leadership in the context of IT sector in India. The article also explores the factors of shared leadership using the factorial analysis of the data collected from teams working in the IT sector in India. It is a team level study of shared leadership in IT sector with a focus on obtaining the factors by using the factor analysis method on IBM SPSS. The various variables by which researchers have tried to explain the construct of shared leadership were collected from secondary sources which were then used to develop a questionnaire. The questionnaire was pilot tested and its reliability and validity was evaluated thereafter. Data collected was put to factor analysis through SPSS software to obtain the factors explaining the shared leadership construct in the context of the Indian IT sector. Numerous variables were reduced to few factors. With their help, these factors of the shared leadership in IT sector could be explained as a construct. The findings of this article also include explanation of the variations in the construct of shared leadership in IT sector and which factors contribute in what order to these variations.

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Research on the Occurring Location of ONB in Narrow Rectangular Channel Under Natural Circulation by Factorial Analysis Method

Volume 3: Thermal-Hydraulics ◽

10.1115/icone24-60651 ◽

2016 ◽

Author(s):

Shi Qi ◽

Tao Zhou ◽

Baixu Chen ◽

Zejun Xiao

Keyword(s):

Natural Circulation ◽

Rectangular Channel ◽

Nucleate Boiling ◽

Factorial Analysis ◽

Important Influence ◽

Gap Size ◽

Analysis Method ◽

The Third ◽

Natural Circulation Loop ◽

Factor Interaction

This paper describes the research on the location of Onset of Nucleate Boiling (ONB) in Natural circulation. Selecting the narrow rectangular natural circulation loop as the research object, the occurring location of ONB is analyzed by experiment. By the method of factorial analysis, the influences of different factors and the factor interaction to the location of ONB are studied. The results show that, the inlet subcooling has the biggest influence, whose contribution percentage is 49.8%. The second important influence is the gap size, whose contribution percentage is 25.2%. The third important influence is the heat flux, whose contribution percentage is 24.4%. The influence of factor interaction to the location of ONB are negligible.

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