Water Pipeline Route Optimization Using GIS and Multi-Criteria Analysis

A paper by Francisco Eudes do Amaral discusses a GIS-based optimization model for water pipeline alignment. The model uses cost variables and criteria like slope, altitude, distance to rivers, and proximity to highways to simulate minimum-cost routes. The study area is an excerpt from the Pajeú pipeline in Pernambuco, Brazil, using data from the Pernambuco Three-dimensional Program and SRTM/TOPODATA.

Use Cases

• Optimizing water pipeline routes based on terrain slope and altitude data mentioned in the description
• Assessing infrastructure cost trade-offs using weighted criteria like distance to rivers and highways
• Applying the Hierarchical Weight Analysis (HWA) method to reduce subjectivity in spatial planning models

Strengths

• Methodology incorporates expert opinion to weight criteria, aiming to minimize subjectivity
• Analysis integrates multiple high-definition geospatial databases, including SRTM/TOPODATA
• Model simulates routes based on concrete criteria: slope, altitude, river distance, and highway proximity

Limitations

• Row count and specific data formats are unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Last update date is unknown; freshness unverified

Provenance

Source

Francisco Eudes do Amaral via paperswithcode

Collection Method

Geoprocessing and multi-criteria GIS-based optimization model applied to a pipeline case study.

Geography

Pajeú pipeline area in the state of Pernambuco, Brazil