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Journal articles on the topic 'Morris sensitivity method'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Xie, Jian, Dong Cheng, Shuli Chang, and Pengtao Li. "Sensitivity analysis of underwater launch based on Morris method." E3S Web of Conferences 528 (2024): 02012. http://dx.doi.org/10.1051/e3sconf/202452802012.

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The discharge velocity, pressure difference and acceleration of underwater launch performance are affected by many factors, including depth, sailing speed, burning rate, water temperature, density and other operating parameters. The existing underwater launch sensitivity analysis is a local sensitivity qualitative analysis based on single-step perturbation analysis, which can only investigate the influence of a single uncertain factor on the model results in a small range. In this paper, based on the underwater launch model under multi-factor coupling, 10 input parameters were selected to calc

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2

Pannier, Marie-Lise, Patrick Schalbart, and Bruno Peuportier. "Computationally efficient sensitivity analysis for building ecodesign with many-level categorical input factors." International Journal of Metrology and Quality Engineering 14 (2023): 15. http://dx.doi.org/10.1051/ijmqe/2023016.

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Dynamic building energy simulation and life cycle assessment (LCA) are useful ecodesign tools to mitigate the energy and environmental impacts of buildings. Various uncertain factors can affect the building energy and environmental modelling, including continuous and categorical factors (i.e., discrete factors without logical ranking). Sensitivity analysis (SA) is applied to identify the most influential factors on which additional research efforts are needed to increase the robustness of results. The Sobol method (Sobol) is the reference SA method, but it requires a significant amount of comp

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Xu, Y., and A. E. Mynett. "Application of uncertainty and sensitivity analysis in river basin management." Water Science and Technology 53, no. 1 (2006): 41–49. http://dx.doi.org/10.2166/wst.2006.006.

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Considering uncertainty in the decision-making process in river basin management is important because uncertainty is regarded as one of the main obstacles to sound decision-making. In case of high uncertainty, the risks of making a wrong decision could be quite high, which may have severe consequences. This paper applies a screening sensitivity analysis method, the Morris method, to investigate the propagation of uncertainty from factors in a flood damage model into the model outputs and explores the importance of factors based on the sensitivity analysis. Uncertainty reduction in the most inf

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Herman, J. D., J. B. Kollat, P. M. Reed, and T. Wagener. "Technical Note: Method of Morris effectively reduces the computational demands of global sensitivity analysis for distributed watershed models." Hydrology and Earth System Sciences 17, no. 7 (2013): 2893–903. http://dx.doi.org/10.5194/hess-17-2893-2013.

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Abstract. The increase in spatially distributed hydrologic modeling warrants a corresponding increase in diagnostic methods capable of analyzing complex models with large numbers of parameters. Sobol' sensitivity analysis has proven to be a valuable tool for diagnostic analyses of hydrologic models. However, for many spatially distributed models, the Sobol' method requires a prohibitive number of model evaluations to reliably decompose output variance across the full set of parameters. We investigate the potential of the method of Morris, a screening-based sensitivity approach, to provide resu

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Herman, J. D., J. B. Kollat, P. M. Reed, and T. Wagener. "Technical note: Method of Morris effectively reduces the computational demands of global sensitivity analysis for distributed watershed models." Hydrology and Earth System Sciences Discussions 10, no. 4 (2013): 4275–99. http://dx.doi.org/10.5194/hessd-10-4275-2013.

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Abstract. The increase in spatially distributed hydrologic modeling warrants a corresponding increase in diagnostic methods capable of analyzing complex models with large numbers of parameters. Sobol' sensitivity analysis has proven to be a valuable tool for diagnostic analyses of hydrologic models. However, for many spatially distributed models, the Sobol' method requires a prohibitive number of model evaluations to reliably decompose output variance across the full set of parameters. We investigate the potential of the method of Morris, a screening-based sensitivity approach, to provide resu

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Huang, Yongtai, and Don Pierson. "Identifying parameter sensitivity in a water quality model of a reservoir." Water Quality Research Journal 47, no. 3-4 (2012): 451–62. http://dx.doi.org/10.2166/wqrjc.2012.116.

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Sensitivity analysis can provide useful insights into how a model responds to the variations in its parameter values (i.e. coefficients). The results can be very helpful for model calibration, refinement and application. A one-dimensional model has been set up to simulate the hydrothermal and water quality conditions of Cannonsville Reservoir, which provides water supply for New York City. This paper aims at identifying the most influential parameters in the model through sensitivity analysis. Firstly, the Morris method (a screening method) is used to identify influential parameters. It is fou

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Brockmann, D., and E. Morgenroth. "Comparing global sensitivity analysis for a biofilm model for two-step nitrification using the qualitative screening method of Morris or the quantitative variance-based Fourier Amplitude Sensitivity Test (FAST)." Water Science and Technology 56, no. 8 (2007): 85–93. http://dx.doi.org/10.2166/wst.2007.600.

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Two different methods for global sensitivity analysis were compared exemplarily for a biofilm model for two-step nitrification. Especially for biofilm models, local sensitivity analysis is not very useful as parameters can vary over a large range. Parameters that were evaluated included kinetic and stoichiometric parameters, and also biofilm parameters, such as internal and external mass transfer, the biofilm thickness, and the biomass density. Global sensitivity analyses were performed for a range of operating conditions of a biofilm reactor. The results of the qualitative screening method of

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Specka, Xenia, Claas Nendel, and Ralf Wieland. "Temporal Sensitivity Analysis of the MONICA Model: Application of Two Global Approaches to Analyze the Dynamics of Parameter Sensitivity." Agriculture 9, no. 2 (2019): 37. http://dx.doi.org/10.3390/agriculture9020037.

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Sensitivity analysis (SA) is often applied to evaluate the behavior of ecological models in which the integrated soil and crop processes often vary over time. In this study, the time dependence of the parameter sensitivity of a process-based agro-ecosystem model was analyzed for various sites and model outputs. We applied the Morris screening and extended FAST methods by calculating daily sensitivity measures. By analyzing the daily elementary effects using the Morris method, we were able to identify more sensitive parameters compared with the original approach. The temporal extension of the e

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Liu, Jinhao, Jianhua Wu, Yusheng Zhang, and Xinhao Wu. "Sensitivity Analysis of Hydraulic Transient Simulations Based on the MOC in the Gravity Flow." Water 13, no. 23 (2021): 3464. http://dx.doi.org/10.3390/w13233464.

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The purpose of this study was to evaluate the sensitivity of input parameters to output results when using the method of characteristics (MOC) for hydraulic transient simulations. Based on a gravity flow water delivery project, we selected six main parameters that affect the hydraulic transient simulation and selected maximum pressure as the output parameter in order to perform a parameter sensitivity analysis. The Morris sensitivity analysis (Morris) and the partial rank correlation coefficient method based on Latin hypercube sampling (LHS-PRCC) were both adopted. The results show that the se

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Paleari, Livia, Ermes Movedi, Michele Zoli, et al. "Sensitivity analysis using Morris: Just screening or an effective ranking method?" Ecological Modelling 455 (September 2021): 109648. http://dx.doi.org/10.1016/j.ecolmodel.2021.109648.

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Gervaz, Sofía, and Federico Favre. "Identifying Key Parameters in Building Energy Models: Sensitivity Analysis Applied to Residential Typologies." Buildings 14, no. 9 (2024): 2804. http://dx.doi.org/10.3390/buildings14092804.

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Building energy modeling tools play a crucial role in quantifying and understanding the energy performance of buildings. These tools require substantial amounts of data, which can be challenging to obtain and are often associated with significant uncertainties. The incorporation of sensitivity analysis is a crucial step toward developing reliable models as it identifies the most critical parameters that require meticulous characterization. In this study, a sensitivity analysis based on the Morris method was conducted to assess the relevance of 14 input parameters affecting thermal loads across

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12

Wang, Yuan, Jie Ren, Shaobin Hu, and Di Feng. "Global Sensitivity Analysis to Assess Salt Precipitation for CO2 Geological Storage in Deep Saline Aquifers." Geofluids 2017 (2017): 1–16. http://dx.doi.org/10.1155/2017/5603923.

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Salt precipitation is generated near the injection well when dry supercritical carbon dioxide (scCO2) is injected into saline aquifers, and it can seriously impair the CO2 injectivity of the well. We used solid saturation (Ss) to map CO2 injectivity. Ss was used as the response variable for the sensitivity analysis, and the input variables included the CO2 injection rate (QCO2), salinity of the aquifer (XNaCl), empirical parameter m, air entry pressure (P0), maximum capillary pressure (Pmax), and liquid residual saturation (Splr and Sclr). Global sensitivity analysis methods, namely, the Morri

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Ye, Kun, Lin Teng, Pengfei Li, and Liang Chen. "Sensitivity Analysis of Factors Influencing Accelerometer Hysteresis Based on Morris Screening Method." Journal of Physics: Conference Series 1986, no. 1 (2021): 012060. http://dx.doi.org/10.1088/1742-6596/1986/1/012060.

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Feng, Kaixuan, Zhenzhou Lu, and Caiqiong Yang. "Enhanced Morris method for global sensitivity analysis: good proxy of Sobol’ index." Structural and Multidisciplinary Optimization 59, no. 2 (2018): 373–87. http://dx.doi.org/10.1007/s00158-018-2071-7.

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15

Silva, Arthur Santos, and Enedir Ghisi. "Evaluation of capabilities of different global sensitivity analysis techniques for building energy simulation: experiment on design variables." Ambiente Construído 21, no. 2 (2021): 89–111. http://dx.doi.org/10.1590/s1678-86212021000200516.

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Abstract The objective of this study is to investigate the capabilities of different global sensitivity analysis methods applied to building performance simulation, i.e. Morris, Monte Carlo, Design of Experiments, and Sobol methods. A single-zone commercial building located in Florianópolis, southern Brazil, was used as a case study. Fifteen inputs related to design variables were considered, such as thermal properties of the construction envelope, solar orientation, and fenestration characteristics. The performance measures were the annual heating and cooling loads. It was found that each met

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Li, Yun, Yifu Wang, Yujun Sun, and Jie Li. "Global Sensitivity Analysis of the LPJ Model for Larix olgensis Henry Forests NPP in Jilin Province, China." Forests 13, no. 6 (2022): 874. http://dx.doi.org/10.3390/f13060874.

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Parameter sensitivity analysis can determine the influence of the input parameters on the model output. Identification and calibration of critical parameters are the crucial points of the process model optimization. Based on the Extended Fourier Amplitude Sensitivity Test (EFAST) and the Morris method, this paper analyzes and compares the parameter sensitivity of the annual mean net primary productivity (NPP) of Larix olgensis Henry forests in Jilin Province simulated by the Lund–Potsdam–Jena dynamic global vegetation model (LPJ model) in 2009–2014 and 2000–2019, and deeply examines the sensit

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Morris, David J., Douglas C. Speir, Angus I. Cameron, and Michael R. Heath. "Global sensitivity analysis of an end-to-end marine ecosystem model of the North Sea: Factors affecting the biomass of fish and benthos." Ecological modelling 273 (February 10, 2014): 251–63. https://doi.org/10.1016/j.ecolmodel.2013.11.019.

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Comprehensive analysis of parameter and driver sensitivity is key to establishing the credibility of models representing complex systems. This is especially so for models of natural systems where experimental manipulation of the real-world to provide controlled validation data is not possible. End-to-end ecosystem models (nutrients to birds and mammals) of marine ecosystems fall into this category with applications for evaluating the effects of climate change and fishing on nutrient fluxes and the abundances of flora and fauna. Here we present results of both ‘one-at-a-time’ (OAT)

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18

Ketema, Atekelt Abebe, and Guenter Langergraber. "Sensitivity analysis of the CLARA Simplified Planning Tool using the Morris screening method." Water Science and Technology 71, no. 2 (2014): 234–44. http://dx.doi.org/10.2166/wst.2014.497.

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The Morris screening sensitivity analysis (SA) has been used to assess how the uncertainty of input parameters influences the output of the CLARA Simplified Planning Tool (CLARA-SPT). To assess the sensitivity of the tool, four hypothetical waste collection and treatment alternatives, which planned to serve 10,000 people, have been proposed and analysed. These alternatives are (A1) dry sanitation with urine diversion dry toilets (UDDTs), (A2) water-aided sanitation with decentralised treatment units, (A3) water-aided sanitation with central technical treatment and (A4) water-aided sanitation w

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19

Ge, Qiao, and Monica Menendez. "Extending Morris method for qualitative global sensitivity analysis of models with dependent inputs." Reliability Engineering & System Safety 162 (June 2017): 28–39. http://dx.doi.org/10.1016/j.ress.2017.01.010.

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20

Wang, Chenyang, Minjun Peng, and Genglei Xia. "Sensitivity analysis based on Morris method of passive system performance under ocean conditions." Annals of Nuclear Energy 137 (March 2020): 107067. http://dx.doi.org/10.1016/j.anucene.2019.107067.

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21

Wang, Yulin, Zulin Hua, and Liang Wang. "Sensitivity analysis of the Chaohu Lake eutrophication model with a new index based on the Morris method." Water Supply 18, no. 4 (2017): 1375–87. http://dx.doi.org/10.2166/ws.2017.204.

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Abstract Chaohu Lake is a large shallow lake in eastern China, and few eutrophication model studies have been conducted there. We present practical sensitivity indices based on the Morris method to compare the sensitivity of a parameter group on one model output with that of one parameter on multiple model outputs. The new sensitivity indices were employed to measure the parameter sensitivity of the Chaohu Lake eutrophication model. The results of the sensitivity analysis demonstrate that the most sensitive parameters on cyanobacteria biomass, NH4, NO3, and PO4 were BMR, KDN, Nitm, and KRP, an

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22

Ruano, M. V., J. Ribes, J. Ferrer, and G. Sin. "Application of the Morris method for screening the influential parameters of fuzzy controllers applied to wastewater treatment plants." Water Science and Technology 63, no. 10 (2011): 2199–206. http://dx.doi.org/10.2166/wst.2011.442.

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In this paper, we evaluate the application of a sensitivity analysis to help fine-tuning a fuzzy controller for a biological nitrogen and phosphorus removal (BNPR) plant. The Morris Screening method is proposed and evaluated as a prior step to obtain the parameter significance ranking. First, an iterative procedure has been performed in order to find out the proper repetition number of the elementary effects (r) of the method. The optimal repetition number found in this study (r = 60) is in direct contrast to previous applications of the Morris method, which usually use low repetition number,

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Sun, Jiaqian, Fangjie Mao, Huaqiang Du, et al. "Improving the Simulation Accuracy of the Net Ecosystem Productivity of Subtropical Forests in China: Sensitivity Analysis and Parameter Calibration Based on the BIOME-BGC Model." Forests 15, no. 3 (2024): 552. http://dx.doi.org/10.3390/f15030552.

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Subtropical forests have strong carbon sequestration potential; however, the spatiotemporal patterns of their carbon sink are unclear. The BIOME-BGC model is a powerful tool for forest carbon sink estimation while the numerous parameters, as well as the localization, limit their application. This study takes three typical subtropical forests (evergreen broadleaf forest, EBF; evergreen needleleaf forest, ENF; and bamboo forest, BF) in China as examples, assesses the sensitivity of 43 ecophysiological parameters in the BIOME-BGC model both by the Morris method and the extended Fourier amplitude

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Wu, Jianyong, Radhika Dhingra, Manoj Gambhir, and Justin V. Remais. "Sensitivity analysis of infectious disease models: methods, advances and their application." Journal of The Royal Society Interface 10, no. 86 (2013): 20121018. http://dx.doi.org/10.1098/rsif.2012.1018.

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Sensitivity analysis (SA) can aid in identifying influential model parameters and optimizing model structure, yet infectious disease modelling has yet to adopt advanced SA techniques that are capable of providing considerable insights over traditional methods. We investigate five global SA methods—scatter plots, the Morris and Sobol’ methods, Latin hypercube sampling-partial rank correlation coefficient and the sensitivity heat map method—and detail their relative merits and pitfalls when applied to a microparasite (cholera) and macroparasite (schistosomaisis) transmission model. The methods i

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Ren, Jie, Wenbing Zhang, and Jie Yang. "Morris Sensitivity Analysis for Hydrothermal Coupling Parameters of Embankment Dam: A Case Study." Mathematical Problems in Engineering 2019 (June 9, 2019): 1–11. http://dx.doi.org/10.1155/2019/2196578.

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Recently, the use of the temperature tracer method has attracted a great deal of attention to study the dam leakage. Accurate estimation of temperature variations inside the dam is critical, and the task can be achieved by identifying which variables play more important roles in the hydrothermal coupling model (HTCM). In the present study, the HTCM of an embankment dam is defined based on the thermal conductivity model proposed by Lu et al. (2007). The thermal conductivity model needs several input parameters, many of which are usually determined by pedotransfer functions, which may introduce

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Luedeman, L. J., A. M. Journey, and K. R. Ostlie. "Corn Rootworm Control in Three Minnesota Locations, 1991." Insecticide and Acaricide Tests 17, no. 1 (1992): 199–200. http://dx.doi.org/10.1093/iat/17.1.199a.

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Abstract Soil insecticide performance trials were established at agricultural experiment stations located in Lamberton, Rosemount, and Morris, MN. Soil types in these locations are Vef loam in Lamberton, Waukegan silt loam in Rosemount, and Tara silt loam in Morris. Lamberton and Morris plots were established in corn planted 21 May and 15 May following trap crops the previous season. Rosemount plots were established in continuous corn planted 7 May. Each treatment plot measured 2 rows (76 cm row spacing) × 12.2 m long. Treatments were arranged in a randomized complete block design with 4 repli

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Nouri, Amin, Christoph van Treeck, and Jérôme Frisch. "Sensitivity Assessment of Building Energy Performance Simulations Using MARS Meta-Modeling in Combination with Sobol’ Method." Energies 17, no. 3 (2024): 695. http://dx.doi.org/10.3390/en17030695.

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Large discrepancies can occur between building energy performance simulation (BEPS) outputs and reference data. Uncertainty and sensitivity analyses are performed to discover the significant contributions of each input parameter to these discrepancies. Variance-based sensitivity analyses typically require many stochastic simulations, which is computationally demanding (especially in the case of the large number of input parameters involved in the analysis). To overcome these impediments, this study proposes a reliable meta-model-based sensitivity analysis, including validation, Morris’ method,

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Thorsen, Stig Morten. "Screening groups of parameters using the Morris method to select parameters for variance based sensitivity analysis." Procedia - Social and Behavioral Sciences 2, no. 6 (2010): 7755–56. http://dx.doi.org/10.1016/j.sbspro.2010.05.213.

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Parini, Alberto, and Gaetano Bellanca. "Assessing parameters sensitivity of a WDM Optical Network-on-Chip router via the Morris screening method." Optical and Quantum Electronics 47, no. 9 (2015): 3145–59. http://dx.doi.org/10.1007/s11082-015-0168-4.

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Cheng, Qiang, Qiunan Feng, Zhifeng Liu, Peihua Gu, and Guojun Zhang. "Sensitivity analysis of machining accuracy of multi-axis machine tool based on POE screw theory and Morris method." International Journal of Advanced Manufacturing Technology 84, no. 9-12 (2015): 2301–18. http://dx.doi.org/10.1007/s00170-015-7791-x.

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Janse van Rensburg, A., G. van Schoor, and P. A. van Vuuren. "Stepwise Global Sensitivity Analysis of a Physics-Based Battery Model using the Morris Method and Monte Carlo Experiments." Journal of Energy Storage 25 (October 2019): 100875. http://dx.doi.org/10.1016/j.est.2019.100875.

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Liu, Xingjiang, Haotian Yang, Chao Shen, Lin LU, and Julian Wang. "Quantifying the parameter interaction of photovoltaic double skin façade: A sensitivity analysis based on second-order Morris method." Applied Energy 386 (May 2025): 125579. https://doi.org/10.1016/j.apenergy.2025.125579.

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Cohen, Meirav, Nimrod Schwartz, and Ravid Rosenzweig. "Identification of parameter importance for benzene transport in the unsaturated zone using global sensitivity analysis." Hydrology and Earth System Sciences 28, no. 7 (2024): 1585–604. http://dx.doi.org/10.5194/hess-28-1585-2024.

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Abstract. One of the greatest threats to groundwater is contamination from fuel derivatives. Benzene, a highly mobile and toxic fuel derivative, can easily reach groundwater from fuel sources and lead to extensive groundwater contamination and drinking water disqualification. Modelling benzene transport in the unsaturated zone can quantify the risk for groundwater contamination and provide needed remediation strategies. Yet, characterization of the problem is often complicated, due to typical soil heterogeneity, numerous unknown site and solute parameters, and the difficulty of distinguishing

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Franczyk, Anna. "Using the Morris sensitivity analysis method to assess the importance of input variables on time-reversal imaging of seismic sources." Acta Geophysica 67, no. 6 (2019): 1525–33. http://dx.doi.org/10.1007/s11600-019-00356-5.

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Abstract The time-reversal imaging method has become a standard technique for seismic source location using both acoustic and elastic wave equations. Although there are many studies on the determination of the relevant parameter for visualization of the time-reversal method, little has been done so far to investigate the accuracy of seismic source location depending on parameters such as the geometry of the seismic network or underestimation of the velocity model. This paper investigates the importance of the accuracy of seismic source location using the time-reversal imaging method of input v

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Skinner, Christopher J., Tom J. Coulthard, Wolfgang Schwanghart, Marco J. Van De Wiel, and Greg Hancock. "Global sensitivity analysis of parameter uncertainty in landscape evolution models." Geoscientific Model Development 11, no. 12 (2018): 4873–88. http://dx.doi.org/10.5194/gmd-11-4873-2018.

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Abstract. The evaluation and verification of landscape evolution models (LEMs) has long been limited by a lack of suitable observational data and statistical measures which can fully capture the complexity of landscape changes. This lack of data limits the use of objective function based evaluation prolific in other modelling fields, and restricts the application of sensitivity analyses in the models and the consequent assessment of model uncertainties. To overcome this deficiency, a novel model function approach has been developed, with each model function representing an aspect of model beha

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Pichandi, Priya, and Sabarmathi Ayyavu. "Global Sensitivity Analysis of Soil Pollution Using Fractal Fractional Order Model." International Journal of Energy and Environmental Science 9, no. 2 (2024): 38–51. http://dx.doi.org/10.11648/j.ijees.20240902.12.

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This research investigates the profound impact of land pollution on soil degradation, stemming from human-made (xenobiotic) chemicals and alterations in soil composition. The framework explains a comprehensive nonlinear fractal fractional order eco-epidemic model, delineating four compartments: Susceptible soil (S), Polluted soil (P), Remediation or recycling of polluted soil (T), and Recovered soil (R). The study rigorously establishes the non-negative and unique existence of solutions using the fixed point theorem while analyzing the local and global stability of equilibrium points under pol

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Liu, Yanbin, Yanhui Tong, and Feiteng Jin. "Control law design of hypersonic vehicles using the elastic surrogate model." Journal of Low Frequency Noise, Vibration and Active Control 39, no. 1 (2019): 216–29. http://dx.doi.org/10.1177/1461348419835131.

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This paper presents a novel control design strategy for the hypersonic vehicle using the elastic surrogate model. First, the parametric model is established for the rigid mode of the hypersonic vehicle based on the engineering estimation and panel methods. Then, the beam surrogate model is applied to identify the elastic mode of the hypersonic vehicle, and the complete parametric model including the rigid and elastic modes is obtained accordingly. Afterward, the control-relevant model is acquired based on the Morris sensitivity analysis method. Furthermore, the control system using the surroga

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Araújo, Amarísio Da Silva, Haroldo De Campos Velho, and Lu Minjiao. "MULTI-OBJECTIVE CALIBRATION OF IBIS MODEL BY GENETIC ALGORITHM WITH PARAMETRIC SENSITIVITY ANALYSIS." Ciência e Natura 38 (July 20, 2016): 90. http://dx.doi.org/10.5902/2179460x20095.

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Atmospheric circulation models combine different modules for a good description of the atmospheric dynamics. One of these modules is the representation of surface coverage, since the dynamics depends on the interaction between the atmosphere and the surface of the planet. However, these modules depend on a number of parameters that need to be adjusted. The parameter adjustment process is called model calibration. In this study, the IBIS (Integrated Biosphere Simulator) model is calibrated following a multi-objective strategy. The Pareto set, which embraces the non-dominated solutions in the se

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Milenin, Ivan, Krzysztof Bzowski, and Łukasz Rauch. "Sensitivity analysis and identification of the phase transformation model based on the control theory." Computer Methods in Material Science 16, no. 4 (2016): 204–12. http://dx.doi.org/10.7494/cmms.2016.4.0590.

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The aim of this work was to improve the previously developed model of austenite-ferrite phase transformation by its identification for selected steels and by performing sensitivity analysis. Created model allows prediction of phase transformation kinetics for non-isothermal conditions. Model is characterized by very short computing time and relatively good predictive capabilities. There are five input coefficients in the model, which should be identified for each steel on the basis of dilatometric tests. In the previous works model was used to predict phase transformation kinetics in various D

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Likhachev, D. V. "Parametric sensitivity analysis as an essential ingredient of spectroscopic ellipsometry data modeling: An application of the Morris screening method." Journal of Applied Physics 126, no. 18 (2019): 184901. http://dx.doi.org/10.1063/1.5126074.

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Beskow, Samuel, Carlos Rogério de Mello, and Lloyd Darrell Norton. "Development, sensitivity and uncertainty analysis of LASH model." Scientia Agricola 68, no. 3 (2011): 265–74. http://dx.doi.org/10.1590/s0103-90162011000300001.

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Many hydrologic models have been developed to help manage natural resources all over the world. Nevertheless, most models have presented a high complexity regarding data base requirements, as well as, many calibration parameters. This has brought serious difficulties for applying them in watersheds where there is scarcity of data. The development of the Lavras Simulation of Hydrology (LASH) in a GIS framework is described in this study, which focuses on its main components, parameters, and capabilities. Coupled with LASH, sensitivity analysis, parameter range reduction, and uncertainty analysi

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Liu, Yang, Xiaotian Qi, Yingxia Wei, and Mingna Wang. "Exploring the Sensitivity Range of Underlying Surface Factors for Waterlogging Control." Water 15, no. 17 (2023): 3131. http://dx.doi.org/10.3390/w15173131.

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To mitigate the incidence of waterlogging to livelihoods and property security, a combination of management measures has been necessary to achieve optimal benefits, reducing the risk caused by waterlogging to the development of the urban ecology. Thus, this study aims to analyze the sensitivity and sensitivity range of management measures under different rainfall conditions, focusing on establishing a foundation for their combined implementation. Based on different rainfall scenarios, the modified Morris method is employed to assess the sensitivity of key factors and subsequently determine the

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Chen, Yue, Chongshi Gu, Chenfei Shao, and Xiangnan Qin. "Parameter Sensitivity and Inversion Analysis for a Concrete Face Rockfill Dam Based on CS-BPNN." Advances in Civil Engineering 2019 (October 23, 2019): 1–17. http://dx.doi.org/10.1155/2019/9742961.

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The deformation behavior of rockfill is significant to the normal operation of concrete face rockfill dam. Considering both the nonlinear mechanical behavior and long-term rheological deformation, the E-ν model and modified Burgers model are coupled to describe the deformation behavior of the rockfill materials. The coupled E-ν and Burgers model contains numerous parameters with complex relationship, and an efficient and accurate inversion analysis is in demand. The sensitivity of the parameters in the coupled E-ν and modified Burgers is analyzed using the modified Morris method initially. The

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Li, Chen, Arthur Cantarel, and Xiaojing Gong. "Influence of structural parameters at microscale on the fiber reinforcement." Journal of Composite Materials 53, no. 7 (2018): 863–72. http://dx.doi.org/10.1177/0021998318792082.

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In this paper, a random configuration model for fiber arrangement is proposed and implemented in a computer code. This development enables the investigation of the effect of the random arrangements of the fibers inside the tow on the permeability and the flow properties. Four parameters are considered including three microstructural parameters: side length of the domain L, variation of radii Δ r, minimum interfiber distance δmin, and one macro parameter: porosity ɛ. Finite element method is performed for the transverse flow of porous media with random arrangements of fibers. Morris method for

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Lin, Jian, Charles Kroll, and David Nowak. "Ecosystem Service-Based Sensitivity Analyses of i-Tree Eco." Arboriculture & Urban Forestry 46, no. 4 (2020): 287–306. http://dx.doi.org/10.48044/jauf.2020.021.

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"Trees are known to provide various ecosystem services and disservices to urban communities, which can be quantified using models based on field and environmental data. It is often uncertain how tree structure and environmental variables impact model output. Here we perform a sensitivity analysis (SA) of i-Tree Eco, a common urban forest model, to analyze the relative impact of different model inputs on three module outputs: biogenic volatile organic compound (BVOC)(isoprene and monoterpenes) emissions, carbon storage and sequestration, and dry deposition of nitrogen dioxide, sulfur dioxide, a

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Xu, Jincheng, Manxin Wang, Jiaqiang Wang, Fangwenyi Fang, Yun Zou, and Yibo Yang. "Geometric error modeling and sensitivity analysis of a B-axis of the B-axis power-driven turret." Journal of Physics: Conference Series 2862, no. 1 (2024): 012024. http://dx.doi.org/10.1088/1742-6596/2862/1/012024.

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Abstract To guide the design of the B-axis power-driven turret and improve its end accuracy, the geometric error model of its B-axis is established, and the sensitivity analysis of the error sources is completed. Firstly, based on the structure of the B-axis, six branch chains that can transfer the error sources of each component to the end error are decomposed. Then, the error modeling of the B-axis is transformed into error modeling for each branch chain. Secondly, the mapping relationship between the end position and orientation error and the error sources of each component is deduced using

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Baki, Harish, Sandeep Chinta, and Balaji Srinivasan. "Determining the sensitive parameters of the Weather Research and Forecasting (WRF) model for the simulation of tropical cyclones in the Bay of Bengal using global sensitivity analysis and machine learning." Geoscientific Model Development 15, no. 5 (2022): 2133–55. http://dx.doi.org/10.5194/gmd-15-2133-2022.

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Abstract. The present study focuses on identifying the parameters from the Weather Research and Forecasting (WRF) model that strongly influence the simulation of tropical cyclones over the Bay of Bengal (BoB) region. Three global sensitivity analysis (SA) methods, namely, the Morris One-at-A-Time (MOAT), multivariate adaptive regression splines (MARS), and surrogate-based Sobol', are employed to identify the most sensitive parameters out of 24 tunable parameters corresponding to seven parameterization schemes of the WRF model. Ten tropical cyclones across different categories, such as cyclonic

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Zhao, Zhi Bin, Wei Sheng Xu, and Da Zhang Cheng. "Uncertainty and Sensitivity Analysis of Building Energy Demand Model Based on Occupant Behaviors." Applied Mechanics and Materials 71-78 (July 2011): 411–15. http://dx.doi.org/10.4028/www.scientific.net/amm.71-78.411.

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This paper attempts to illustrate Uncertainty Analysis (UA) and Sensitivity Analysis (SA) of real-time building energy demand model, which is derived from the dynamic relation of occupant behaviors and building space. UA and SA are indispensable sections of system development to insure the efficiency and accuracy of the model while there are three essential stage of UA and SA we followed. In terms of UA and SA, it is possible to structure a rational framework of complex dynamic network model, and discover the mapping between building energy demand and particular relation network patterns. We a

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Usher, William, Trevor Barnes, Nandi Moksnes, and Taco Niet. "Global sensitivity analysis to enhance the transparency and rigour of energy system optimisation modelling." Open Research Europe 3 (February 13, 2023): 30. http://dx.doi.org/10.12688/openreseurope.15461.1.

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Background: Energy system optimisation models (ESOMs) are commonly used to support long-term planning at national, regional, or continental scales. The importance of recognising uncertainty in energy system modelling is regularly commented on but there is little practical guidance on how to best incorporate existing techniques, such as global sensitivity analysis, despite some good applications in the literature. Methods: In this paper, we provide comprehensive guidelines for conducting a global sensitivity analysis of an ESOM, aiming to remove barriers to adopting this approach. With a pedago

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Tang, Zuohuai, Junying Chu, Zuhao Zhou, Tianhong Zhou, and Kangqi Yuan. "The Sensitivity Analysis of Parameters in the 1D–2D Coupled Model for Urban Flooding." Applied Sciences 15, no. 4 (2025): 2157. https://doi.org/10.3390/app15042157.

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The ongoing changes in climate and the rapid pace of urbanization are contributing to an alarming increase in the prevalence of urban flooding, which is having a profound impact on the quality of life for residents and the smooth functioning of urban areas. The 1D–2D coupled model is an effective tool for simulating the process of urban flooding, thereby providing a scientific basis for urban planning, flood prevention, and mitigation strategies. The values of numerous parameters within the model not only influence the computational efficiency but also influence the precision of the simulation

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