Carbon and water flux responses to physiology by environment interactions: a sensitivity analysis of variation in climate on photosynthetic and stomatal parameters

Summary In this paper, we study a Darcy-scale mathematical model for biofilm formation in porous media. The pores in the core are divided into three phases: water, oil, and biofilm. The water and oil flow are modeled by a generalized version of Darcy's law, and the substrate is transported by mechanical dispersion, diffusion, and convection in the water phase. Initially, there is biofilm on the pore walls. The biofilm consumes substrate for production of biomass and modifies the pore space, which changes the rock permeability. The model includes detachment of biomass caused by water flux and death of bacteria, and it is implemented in the MATLAB Reservoir Simulation Toolbox (MRST). We discuss the capability of the numerical simulator to capture results from laboratory experiments. We perform a novel sensitivity analysis based on sparse-grid interpolation and multiwavelet expansion to identify the critical model parameters. Numerical experiments using diverse injection strategies are performed to study the impact of different porosity/permeability relationships in a core saturated with water and oil.

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Dynamical Modeling of Water Flux in Forward Osmosis with Multistage Operation and Sensitivity Analysis of Model Parameters

Water ◽

10.3390/w12010031 ◽

2019 ◽

Vol 12 (1) ◽

pp. 31

Author(s):

Hoyoung Ryu ◽

Azeem Mushtaq ◽

Eunhye Park ◽

Kyochan Kim ◽

Yong Keun Chang ◽

...

Keyword(s):

Sensitivity Analysis ◽

Concentration Polarization ◽

Water Flux ◽

Forward Osmosis ◽

Solute Diffusion ◽

Model Parameters ◽

Sensitivity Index ◽

Water Recovery ◽

Asymmetric Membrane ◽

Simulation Results

To mathematically predict the behavior of a forward osmosis (FO) process for water recovery, a model was constructed using an asymmetric membrane and glucose as a draw solution, allowing an examination of both phenomenological and process aspects. It was found that the proposed model adequately described the significant physicochemical phenomena that occur in the FO system, including forward water flux, internal concentration polarization (ICP), external concentration polarization (ECP), and reverse solute diffusion (RSD). Model parameters, namely the physiochemical properties of the FO membrane and glucose solutions, were estimated on the basis of experimental and existing data. Through batch FO operations with the estimated parameters, the model was verified. In addition, the influences of ECP and ICP on the water flux of the FO system were investigated at different solute concentrations. Water flux simulation results, which exhibited good agreement with the experimental data, confirmed that ICP, ECP, and RSD had a real impact on water flux and thus must be taken into account in the FO process. With the Latin-hypercube—one-factor-at-a-time (LH–OAT) method, the sensitivity index of diffusivity was at its highest, with a value of more than 40%, which means that diffusivity is the most influential parameter for water flux of the FO system, in particular when dealing with a high-salinity solution. Based on the developed model and sensitivity analysis, the simulation results provide insight into how mass transport affects the performance of an FO system.

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Sensitivity analysis of variation in water area and climate factors across the Tarim Basin during last ten years based on NDVI

10.1117/12.466216 ◽

2003 ◽

Author(s):

Shunli Chang ◽

Qingdong Shi ◽

Xiaoling Pan ◽

Jidong Xiao ◽

Guanghui Lu

Keyword(s):

Sensitivity Analysis ◽

Tarim Basin ◽

Water Area ◽

Climate Factors ◽

Analysis Of Variation

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Sensibility analysis of the pearl model for pesticide leaching in the State of Mato Grosso do Sul, Brazil

Engenharia Agrícola ◽

10.1590/s0100-69162011000500014 ◽

2011 ◽

Vol 31 (5) ◽

pp. 965-973 ◽

Cited By ~ 1

Author(s):

Rômulo P. Scorza Júnior ◽

João P. da Silva

Keyword(s):

Sensitivity Analysis ◽

Water Flux ◽

The State ◽

Mato Grosso ◽

Time Sensitivity ◽

Input Parameters ◽

Standard Scenario ◽

Mato Grosso Do Sul ◽

Leaching Models ◽

Pesticide Leaching

For an accurate use of pesticide leaching models it is necessary to assess the sensitivity of input parameters. The aim of this work was to carry out sensitivity analysis of the pesticide leaching model PEARL for contrasting soil types of Dourados river watershed in the state of Mato Grosso do Sul, Brazil. Sensitivity analysis was done by carrying out many simulations with different input parameters and calculating their influence on the output values. The approach used was called one-at-a-time sensitivity analysis, which consists in varying independently input parameters one at a time and keeping all others constant with the standard scenario. Sensitivity analysis was automated using SESAN tool that was linked to the PEARL model. Results have shown that only soil characteristics influenced the simulated water flux resulting in none variation of this variable for scenarios with different pesticides and same soil. All input parameters that showed the greatest sensitivity with regard to leached pesticide are related to soil and pesticide properties. Sensitivity of all input parameters was scenario dependent, confirming the need of using more than one standard scenario for sensitivity analysis of pesticide leaching models.

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