Development of a Decision Support System for Irrigation Systems Analysis

Different groups of hydrants or configurations operate simultaneously in on-demand pressurized irrigation systems, generating different flow regimes. The varieties of flow regimes cause a variability in hydrant pressure and consequently an adequate analysis of the hydraulic performance of the system is needed for better operation and adequate management. A reliable performance assessment needs a modern diagnostic analysis in space and time. To this aim, this research assessed the hydraulic performance of an irrigation district distribution network calculating two performance indicators at hydrant level: relative pressure deficit and reliability, and integrated the outputs in a geographic information system environment providing a framework for a decision support system (DSS). The user friendly interface provides detailed, attainable and interpretable information to address the present scenario as well as the future development of the system, and facilitates the cooperation among researchers, managers, and manufacturers to improve operation, maintenance, and management activities.

[1]  YCemagref Antony Labye,et al.  Design and optimization of irrigation distribution networks , 1988 .

[2]  Michael R. Walsh,et al.  Toward Spatial Decision Support Systems in Water Resources , 1993 .

[3]  A. Vidal.  case studies on water conservation in the mediterranean region , 2001 .

[4]  Nicola Lamaddalena,et al.  Performance analysis of on-demand pressurized irrigation systems , 2000 .

[5]  P. Planells Alandí,et al.  Optimization of irrigation water distribution networks, layout included , 2007 .

[6]  M. Sakellariou-Makrantonaki,et al.  Design of optimal irrigation networks , 2006 .

[7]  David R. Maidment,et al.  Expert Geographic Information System for Texas Water Planning , 1993 .

[8]  Wim G.M. Bastiaanssen,et al.  Remote sensing and hydrologic models for performance assessment in Sirsa Irrigation Circle, India , 1999 .

[9]  Nicola Lamaddalena,et al.  Pressure-driven modeling for performance analysis of irrigation systems operating on demand , 2007 .

[10]  Nicola Lamaddalena,et al.  A simulation model to generate the demand hydrographs in large-scale irrigation systems , 2006 .

[11]  Nicola Lamaddalena,et al.  Assessing the impact of flow regulators with a pressure-driven performance analysis model , 2007 .

[12]  V. Tsihrintzis,et al.  Use of Geographic Information Systems (GIS) in water resources: A review , 1996 .

[13]  Daniel P. Loucks,et al.  Reliability, resiliency, and vulnerability criteria for water resource system performance evaluation , 1982 .

[14]  Luis S. Pereira,et al.  Higher performance through combined improvements in irrigation methods and scheduling : a discussion , 1999 .

[15]  J. Bethery.  Réseaux collectifs d'irrigation ramifiés sous pression calcul et fonctionnement , 1990 .

[16]  Nicola Lamaddalena,et al.  Performance analysis of pressurized irrigation systems operating on-demand using flow-driven simulation models , 2008 .

[17]  R. Clement,et al.  Calcul des dbits dans les rseaux d'irrigation fonctionnant la demande , 1966 .

[18]  M. K. Rowshon,et al.  GIS-Integrated Rice Irrigation Management Information System for a River-Fed Scheme , 2009 .

[19]  Nizar Abu-Jaber,et al.  A GIS Database for Sustainable Management of Shallow Water Resources in the Tulul al Ashaqif Region, NE Jordan , 2009 .

[20]  R. Aliod,et al.  Improved Pressurized Pipe Network Hydraulic Solver for Applications in Irrigation Systems , 2009 .

[21]  José Maria Tarjuelo,et al.  New Methodology to Evaluate Flow Rates in On-Demand Irrigation Networks , 2007 .

[22]  Charles M. Burt,et al.  Modern water control and management practices in irrigation: Impact on performance , 1999 .

[23]  Wim G.M. Bastiaanssen,et al.  Performance evaluation of the Bhakra Irrigation System, India, using remote sensing and GIS techniques , 1999 .

[24]  Patricio Planells Alandi,et al.  Design of water distribution networks for on-demand irrigation , 2001, Irrigation Science.