Land Surface Model and Particle Swarm Optimization Algorithm Based on the Model-Optimization Method for Improving Soil Moisture Simulation in a Semi-Arid Region.

In the first two events after the land cover change, sediment yield was increased by at least ten times of that observed for similar rainfall evens in the years with native dry

Based on the above ideas, the aim of this study was to investigate changes in the use and occupation of space in the semi-arid region, and their influence on the temporal dynamics

Considering the facts related to the importance of the drip irrigation systems for crop production in arid and semi- arid areas and the lack of more updated information on lettuce

With the objective of investigating soil moisture variability and supporting actions of hydrological monitoring in the semi-arid region, this study aimed to evaluate soil moisture

Castor bean plants use a similar gas exchange mechanism in the semi-humid and semi-arid regions, confirming that this culture survives well in soil with low water

Clifford Geertz (2003), antropólogo interpretativo, escreve um livro intitulado O Saber Local, no qual descreve as culturas locais de Bali, Marrocos e outros

Popular optimization techniques, as genetic algorithm (GA) and particle swarm optimization (PSO), were used to design the shape of the ground plane in order to improve