/Xavier Valls

About Xavier Valls

Xavier Valls holds a MSc in Hydroinformatics and Water Management and a BSc in Agricultural Engineering. He has more than 7 years of experience in projects related to Water Management after completing projects in Australia, Belgium, Spain, Poland and Romania. He has been Technical Coordinator for modelling activities in Rural Water Intelligence systems since 2013 applying state of the art modelling systems for irrigation schemes. As a junior modeller, he was also involved in projects for sustainable coastal development and marine adaptation responses to climate change scenarios.
Hydrologist Consultant @ Adasa
  • The Big Rural Data

The Big Rural Data (3): 5 Applications for Customer Services

In previous posts we have explored the benefits of working with big data in both hydrologic and hydraulic services and we have given some examples of data mining based on information that in most cases is already stored into databases, with the aim of enhancing operation and planning activities in an irrigation district. But [...]

By |August 22nd, 2016|Customer Service, Modelling, Prediction / Forecast|
  • The Big Rural Data

The Big Rural Data (2): 5 Applications for Hydraulic Services

Following the rural water cycle, it is now time to discuss the benefits of dealing with and taking advantage of collected hydraulic data and how these enable water managers to take rural water and irrigation one step further. Over the last few years, water districts worldwide have invested millions of dollars in upgrading their [...]

By |June 28th, 2016|Modelling, Prediction / Forecast|
  • The Big Rural Data

The Big Rural Data: 5 Applications for Hydrological Services

Big data, known as the exponential growth and availability of data, is becoming the new trending topic in agriculture. Adasa will be shortly presenting a paper about Big Data, Analytics and Business Intelligence at the 2016 Irrigation Australian International Conference held in Melbourne between the 24th and 26th of May. Also, over the last few [...]

By |May 17th, 2016|Modelling, Prediction / Forecast|
  • Expanding monitoring coverage with virtual real time data

Expanding monitoring coverage with virtual real time data

SCADA systems are widely used to monitor irrigation systems. They acquire real time data from gauging stations located in strategic points allowing the control over parameters such as instant flow or water level. Maintaining water levels is crucial to ensure regulating capabilities and to obtain customer satisfaction by providing an optimal delivery of water. [...]

By |April 4th, 2016|Prediction / Forecast, Real Time Water Monitoring|
  • Modelling Rural Water Intelligence

The use of Modelling in Real Time Monitoring Systems

Real-time monitoring systems have long been used as operational tools to collect and analyse data, as well as to ensure reliability of processes and detection of deviations from predefined thresholds. They provide key information on past and present conditions but they lack predictive capabilities for future circumstances. Hydrological and hydraulic models [...]

By |January 25th, 2016|Modelling, Prediction / Forecast, Real Time Water Monitoring|