A new computational approach for estimation of wilting point for green infrastructure. (December 2017)

• Record Type: Journal Article
• Authors: Garg, Ankit; Li, Jinhui; Hou, Jinjun; Berretta, Christian; Garg, Akhil
• Is Part Of: Measurement. Volume 111(2017)
• Page Start: 351
• Page End: 358
• Publication Date: 2017-12
• Subjects: Wilting point -- Soil fractal dimension -- S index -- Clay content -- Organic matter -- Evolutionary algorithms; Weights and measures -- Periodicals; Measurement -- Periodicals; Measurement; Weights and measures; Periodicals; 530.8
• DOI: 10.1016/j.measurement.2017.07.026
• Languages: English
• ISSNs: 0263-2241

Abstract

Highlights: Wilting point is useful for evaluation of performance of green infrastructures. Study on Evaluation and Estimation of Wilting point of soil is undertaken. Genetic programming approach was proposed to formulate model for wilting point. Model predicts the wilting point accurately. 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.