A new computational approach for estimation of wilting point for green infrastructure

Abstract

Wilting point is an important parameter indicating the inhibition of plant transpiration processes, which is essential for green infrastructures. Generalization of wilting point is very essential for analyzing the hydrological performance of green infrastructures (e.g. green roofs, biofiltration systems) and ecological infrastructures (wetlands). Wilting point of various species is known to be affected by the factors such as soil clay content, soil organic matter, slope of soil water characteristic curve at inflection point (i.e., s index) and fractal dimension. Therefore, its practical usefulness forms the strong basis in developing the model that quantify wilting point with respects to the deterministic factors. This study proposes the wilting point model development task based on optimization approach of Genetic programming (GP) with respect to the input variables (soil clay content, soil organic matter, s-index and fractal dimension) for various type of soils. The GP model developed is further investigated by sensitivity and parametric analysis to discover the relationships between wilting point and input variables and the dominant inputs. Based on newly developed model, it was found that wilting point increases with fractal dimension while behaves highly non-linear with respect to clay and organic content. The combined effect of the clay and organic content was found to greatly influence the wilting point. It implies that wilting point should not be generalized as usually done in literature.

A generic framework for recycling of battery module for electric vehicle by combining the mechanical and chemical procedures

“…The reason could be that in the past decades (relative to the present), the research on battery packs or the electric vehicle has not received much attention as the demand and production of battery packs for electric vehicle were on smaller scale. Further, the sophisticated probabilistic and artificial intelligence methods such as neural networks and genetic programming for developing the semi‐automatic disassembly procedure for battery pack can be explored . Thus, the existing framework when used and validated for recycling of battery module shall result in slower disassembly of packs and consumption of vital time, tools, and manpower.…”

A novel comprehensive procedure for determination of optimum operating conditions for cleaner energy production system

“…Therefore, the present research, which focussed on a single cell can be slowly accumulated and applied to a pack. In addition, future work for authors is to also employ recently developed variants of GP, advanced neural networks and integrate it with reliability analysis and perform comparison with that of present study.…”

Investigating plant root effects on soil electrical conductivity: An integrated field monitoring and statistical modelling approach

“…Further studies are needed to consider analysis of data using copula modelling approaches (Panda et al, 2017(Panda et al, , 2018Zhang et al, 2017aZhang et al, , 2017bGarg et al, 2017b;Garg et al, 2017c). Further, it was found that soil temperature is the most significant parameter influencing electrical conductivity for bare soil whereas, soil water content is important for tree-covered soil.…”

“…Uncertainty analysis of the model suggests that the predicted values of electrical conductivity are within a reasonable range for variations in soil water content and temperature. Further studies are needed to consider analysis of data using copula modelling approaches (Panda et al, 2017(Panda et al, , 2018Zhang et al, 2017aZhang et al, , 2017bGarg et al, 2017b;Garg et al, 2017c).…”