PIP aquaporin responses to drought stress can vary considerably depending on the isoform, tissue, species or level of stress; however, a general down-regulation of these genes is thought to help reduce water loss and prevent backflow of water to the drying soil. It has been suggested therefore, that it may be necessary for the plant to limit aquaporin production during drought stress, but it is...

Plant growth and development are dependent on tight regulation of water movement. Water diffusion across cell membranes is facilitated by aquaporins that provide plants with the means to rapidly and reversibly modify water permeability. This is done by changing aquaporin density and activity in the membrane, including posttranslational modifications and protein interaction that act on their tra...

the present research focuses on the changes of urmia lake level. for this purpose, two timescales have been considered. the trend changes of temperature, precipitation rate and quantitative values of climate type for the observational period from 1968 to 2011 (past scale) and from 2011 to 2100 (future scale) have been analyzed. general circulation model (gcm) is considered for simulating the va...

The water level in boiler drum is the critical control parameter to be addressed for providing the efficient and safe operation of steam generators in power plants. The regulation is achieved by using the Artificial Intelligence (AI) technique, namely, Adaptive Neuro-Fuzzy Inference System (ANFIS). It has the capability of self-learning as ANN with the linguistic expression function of fuzzy in...

In recent years, due to the re-occurrence of extreme weathers and the water consumption increasing, Jialing River Basin is suffering drought disasters with characteristics of high frequency and aggravating influence, which seriously impacts on the urban water supply safety. A special study was carried out with respect to the drought status quo and the demand on emergency water supply, and the r...

Water level forecasting through fuzzy logic and artificial neural network approaches S. Alvisi, G. Mascellani, M. Franchini, and A. Bárdossy Dipartimento di Ingegneria, Università degli Studi di Ferrara, Italia Institut für Wasserbau, Universität Stuttgart, Deutschland Received: 29 May 2005 – Accepted: 13 June 2005 – Published: 22 June 2005 Correspondence to: S. Alvisi ([email protected]) © ...