ESTIMATION OF EVAPO-TRANSPIRATION ON NATURAL WATERSHED USING MAXIMUM ENTROPY METHOD

Evapo-transpiration in Ecological Engineering

evapo-transpiration estimation in taleghan drainage basin using modis images and sebal model

estimation of evapo-transpiration is necessary in cases such as irrigation planning, determining of evaporation of the water bodies, water balance assessment, estimation of runoff and watershed management and ecological and meteorological studies. evapo-transpiration can be determined precisely using field measurements. however, these methods provide evapo-transpiration just for limited areas f...

Generalized maximum entropy estimation

We consider the problem of estimating a probability distribution that maximizes the entropy while satisfying a finite number of moment constraints, possibly corrupted by noise. Based on duality of convex programming, we present a novel approximation scheme using a smoothed fast gradient method that is equipped with explicit bounds on the approximation error. We further demonstrate how the prese...

Determination of the Potential Habitat of Range Plant Species Using Maximum Entropy Method

This study aimed to identify the most important physical variables affecting the distribution of four range plants species (Tamarix aphylla, Calligonum comosum, Prosopis spicigera and Salsola rigida) habitats and to prepare potential habitat map of the species using Maximum Entropy (MaxEnt) method in rangelands of Jiroft city, Kerman province, located in SE Iran. To this end, sampling of vegeta...

Zonation of Flood Susceptibility and Determining the Factors Affecting it Using the Maximum Entropy Method

Karaj dam basin in Alborz province is prone to destructive floods given to its special topographic and anthropogenic conditions. The purpose of this study is to determine the areas with flood susceptibility potential and prioritize the factors affecting it using the maximum entropy method. 14 factors affecting flood potential selection and linear testing Factors were analyzed by variance inflat...