infiltration is a complex process that changed by initial moisture and water head on the soil surface. the main objective of this study was to estimate the coefficients of infiltration equations, kostiakov-lewis, philip and horton, and evaluate the sensitivity of these equations and their coefficients under various initial conditions (initial moisture soil) and boundary (water head on soil surf...

A theory based on Manning roughness equation, Philip equation and water balance equation was developed which only employed the advance distance in the calculation of the infiltration parameters and irrigation coefficients in both the border irrigation and the surge irrigation. The improved procedure was validated with both the border irrigation and surge irrigation experiments. The main results...

Infiltration rate is one of the most important parameters used in irrigation water management. Direct measurement of infiltration process is laborious, time consuming and expensive. Therefore, in this study application of some indirect methods such as artificial neural networks (ANNs) for prediction of this phenomenon was investigated. Different ANNs structures including two training algorithms...

In his seminal paper on the solution of infiltration equation, Philip (1969), https://doi.org/10.1016/b978-1-4831-9936-8.50010-6 proposed a gravity time, tgrav, to estimate practical convergence time and domain validity infinite series expansion, TSE, for describing transient state. The parameter tgrav refers point in where is dominated equally by capillarity as derived from first two (dominant...

This study was intended to verify the effects of implementing the Balance-Scored Card (BSC) on the organizational performances by using BSC as the moderator. Managers and directors in smalland medium-sized enterprises (SMEs) in Taiwan’s electronics industry were interviewed and ROE data was sourced from Taiwan Economic Journal. This study adopted a simple random sampling method to sample the po...

where g1(x), . . . , gr(x) span R for all x. Note that r may be greater than m. This is because the vector fields are a function of position, and there may not be a fixed set of m brackets that span R ∀x. For an example, see [1], page 238. The new inputs v are referred to as fictitious inputs, because the v’s corresponding to the gi, i > m do not correspond to real inputs. Further, we require t...

A discrete time probabilistic model, for optimal equity allocation and portfolio selection, is formulated so as to apply to (at least) reinsurance. In the context of a company with several portfolios (or subsidiaries), representing both liabilities and assets, it is proved that the model has solutions respecting constraints on ROE’s, ruin probabilities and market shares currently in practical u...

A quadratic discrete time probabilistic model, for optimal portfolio selection in (re-)insurance is studied. For positive values of underwriting levels, the expected value of the accumulated result is optimized, under constraints on its variance and on annual ROE’s. Existence of a unique solution is proved and a Lagrangian formalism is given. An effective method for solving the Euler-Lagrange e...