This paper presents a method for the estimation of the soil heat flux that was used to determine the evapotranspiration in ecosystems. The great advantage of this approach is that there is the possibility to use this method for both daytime and nighttime as well as that the parameters are adaptively recalculated depending on three soil temperatures. It enables the estimation in situ of the soil...

The linearized Boussinesq equation incorporating the effect of evapotranspiration with appropriate initial and boundary conditions was solved analytically to predict a fall in the water table in a bi-level drainage system. It was assumed that the evapotranspiration rate decreases linearly with a reduction in the elevation of the water table above the drains. A special case of this solution (i.e...

Evapotranspiration (ET) is one of the major components of hydrologic cycle. Accurate estimation of this parameter is essential for studies such as water balance, irrigation system design and management, and water resources management. Generally we used climate data for calculating evapotranspiration from indirect methods. This study investigates the utility of artificial neural networks (ANNs) ...

We study the problem of Robust Least Squares Regression (RLSR) where several response variables can be adversarially corrupted. More specifically, for a data matrix X ∈ Rp×n and an underlying model w∗, the response vector is generated as y = XTw∗+b where b ∈ R is the corruption vector supported over at most C ·n coordinates. Existing exact recovery results for RLSR focus solely on L1-penalty ba...

We study the problem of Robust Least Squares Regression (RLSR) where several response variables can be adversarially corrupted. More specifically, for a data matrix X ∈ Rp×n and an underlying model w∗, the response vector is generated as y = XTw∗ +b where b ∈ R is the corruption vector supported over at most C · n coordinates. Existing exact recovery results for RLSR focus solely on L1penalty b...

the part of precipitation that directly meets the water requirements of a plant, is termed the effective rainfall. effective rainfall estimation methods consist of: direct measurement, empirical methods, and soil-water balance modeling. due to the high costs of measurements and storing devices such as lysimeter, empirical and balance methods are most commonly used to estimate the effective rain...