Developing an automatic collector of runoff for studies using rainfall simulators

Rainfall-Runoff Modelling Using Genetic Programming

The problem of accurately determining river flows from rainfall, evaporation and other factors, occupies an important place in hydrology. The rainfall-runoff process is believed to be highly non-linear, time varying, spatially distributed and not easily described by simple models. Practitioners in water resources have embraced data-driven modelling approaches enthusiastically, as they are perce...

Using Empirical Relationships and Neural Network in GIS for Developing Rainfall-Runoff Model

SUMMARY The estimation of runoff volume from a catchment is required for planning and design of water resources projects such as the design of storage facilities, assessment of water available for municipal, agricultural or industrial purposes, etc. but proper planning is possible when the accuracy of hydrological process output would be sure. Simulation and prediction of runoff is very importa...

automatic verification of authentication protocols using genetic programming

implicit and unobserved errors and vulnerabilities issues usually arise in cryptographic protocols and especially in authentication protocols. this may enable an attacker to make serious damages to the desired system, such as having the access to or changing secret documents, interfering in bank transactions, having access to users’ accounts, or may be having the control all over the syste...

An automatic collector for density gradients

Sensitivity Analysis and Automatic Calibration of a Rainfall-Runoff Model Using Multi-objectives

The practical experience with sensitivity analysis suggests that no single-objective function is adequate to measure the ways in which the model fails to match the important characteristics of the observed data. In order to successfully measure parameter sensitivity of a numerical model, multiple criteria should be considered. Sensitivity analysis of a rainfall-runoff model is performed using t...