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<p>Effective water resources management is a cornerstone of sustainable urban development, which is intrinsically linked to climate adaptation and population satisfaction. This study introduces H2OSim 1.0, an integrated simulation, forecasting, and management software specifically designed to support decision-making in water resources regional planning. This software integrates climatic, demographic, and socioeconomic parameters to evaluate and predict water availability. A weather generator based on Monte Carlo simulations is employed to reproduce climatic parameters, while evaporation and groundwater processes are evaluated through physically based and hydrological models, including Turc formula for evapotranspiration, the SCS curve Number method for surface runoff, and GR1A hydrological model for rainfall- runoff transformation and locally adapted models for recharge estimation. The software also embeds a Decision Support System (DSS) that provides a comprehensive assessment of the current and projected state of drinking water supply. The H2OSim was tested in Djelfa city (Algeria), demonstrating its capacity to assess water balance components, anticipate supply-demand gaps, and test management scenarios under climate variability and increasing water demand. The results highlight the potential of H2OSimH to serve as a valuable tool for guiding stakeholders toward optimal, sustainable, and climate-resilient water resources management.</p>

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H2OSim 1.0: an integrated simulation and decision support software for water resources planning

  • 期刊论文

  • 发表日期：

    2026年5月7日

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  • Salah Eddine Ali Rahmani,
  • Malika Bentchakal,
  • Abdelkader Boucefiane,
  • Brahim Chibane,
  • Faiza Hallouz

摘要

Effective water resources management is a cornerstone of sustainable urban development, which is intrinsically linked to climate adaptation and population satisfaction. This study introduces H2OSim 1.0, an integrated simulation, forecasting, and management software specifically designed to support decision-making in water resources regional planning. This software integrates climatic, demographic, and socioeconomic parameters to evaluate and predict water availability. A weather generator based on Monte Carlo simulations is employed to reproduce climatic parameters, while evaporation and groundwater processes are evaluated through physically based and hydrological models, including Turc formula for evapotranspiration, the SCS curve Number method for surface runoff, and GR1A hydrological model for rainfall- runoff transformation and locally adapted models for recharge estimation. The software also embeds a Decision Support System (DSS) that provides a comprehensive assessment of the current and projected state of drinking water supply. The H2OSim was tested in Djelfa city (Algeria), demonstrating its capacity to assess water balance components, anticipate supply-demand gaps, and test management scenarios under climate variability and increasing water demand. The results highlight the potential of H2OSimH to serve as a valuable tool for guiding stakeholders toward optimal, sustainable, and climate-resilient water resources management.