Abstract

Retention and detention basins are engineering constructions with multiple objectives; e.g., flood protection and irrigation. Their performance is highly location-dependent, and thus, optimization strategies are needed. LOCASIN (Location detection of retention and detention basins) is an open-source MATLAB tool that enables automated and rapid detection, characterization and evaluation of basin locations. The site detection is based on a numerical raster analysis to determine the optimal dam axis orientation, the dam geometry and the basin area and volume. After selecting a reasonable basin combination, the results are summarized and visualized. LOCASIN represents a user-friendly and flexible tool for policy makers, engineers and scientists to determine dam and basin properties of optimized positions for planning and research purposes. It can be applied in an automated way to solve small and large scale engineering problems. The software is available on GitHub.

Highlights

  • Open source and user-friendly modeling and analysis tools play vital roles for engineers and decision-makers in water management [1,2]

  • While large basins may be more appropriate as a flood protection measure for entire river catchments [7,8], small decentralized basins can play a supportive role in flood management for smaller subcatchments [9,10]

  • We presented an open-source MATLAB tool, LOCASIN, which allows one to automatically detect, evaluate and select basins based on user-defined characteristics

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Summary

Introduction

Open source and user-friendly modeling and analysis tools play vital roles for engineers and decision-makers in water management [1,2]. While large basins may be more appropriate as a flood protection measure for entire river catchments [7,8], small decentralized basins can play a supportive role in flood management for smaller subcatchments [9,10]. Those small basins or reservoirs have been shown to be effective in providing water for irrigation [11] or when being used for managed aquifer recharge [12]. The level of detail of the results is often not appropriate for the evaluation of small basins, and the degree of automation

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