Application of Decision Support Systems in the Planning, Modelling and Management of Pressurized Irrigation Networks in Complex Terrains: A Sustainability Perspective

Abstract

Efficient irrigation management remains a critical global challenge, especially in regions experiencing water scarcity and the adverse effects of climate change. This study addresses these challenges by utilizing decision support systems (DSS) for the simulation and asset management of a pressurized drip irrigation network (PDIN) for avocado cultivation in Uganda, providing valuable insights that can be applied to comparable contexts worldwide. A systematic literature review (SLR) of articles on irrigation network simulation and sustainable management using GIS and RS was conducted. A geo‐referenced hydraulic model and database were created using the QGISRed plug‐in, reducing planning time and minimizing the need for time‐consuming field surveys. The hydraulic analysis was based on the pressure‐dependent demand (PDD) model. The CROPWAT 8.0 model was used to calculate the reference evapotranspiration (ET o ), resulting in a theoretical gross irrigation requirement (IW Gro ) of 5348.78 m 3 ha −1 year −1 . A cost analysis of irrigation water application yielded a value of US$2549 ha −1 year −1 , while an economic analysis showed a net present worth (NPW) > 0.0 and a benefit–cost ratio ( B / C ) > 1.0. Thus, adopting DSS could reduce investment costs and achieve numerous Sustainable Development Goals (SDGs) including SDG2 (end hunger), SDG12 (responsible consumption) and SDG13 (climate action).

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