Integrated Discrete Event Simulation Analysis of Rainwater Harvesting Performance and Cistern Storage Dynamics in Arid Environment

🎯 Resumo

Abstract Original

Rainwater harvesting (RWH) is increasingly recognized as a viable strategy to enhance urban water security in arid regions; however, its performance and economic feasibility remain highly dependent on stochastic rainfall behavior, and system-level integration. This study presents an integrated hydrological–GIS–discrete event simulation (DES)–optimization framework to quantify the technical and economic potential of RWH in Sabah Al-Ahmad City, Kuwait, using historical rainfall data. Rainfallrunoff volumes were estimated through a land-use–based runoff coefficient approach and spatially resolved using high-resolution topographic and drainage datasets. To capture the inherently stochastic nature of rainfall in arid environments, spatially derived runoff volumes were embedded within a DES framework that explicitly models cistern storage dynamics under variable inflow and deterministic irrigation demand. Economic analysis indicates an effective harvested water cost of approximately 0.005 USD m−3. When compared with conventional water supplies, the integration of rainwater harvesting (RWH) with tertiary-treated wastewater reduces rainy-season irrigation costs by about 21%, resulting in seasonal savings of approximately USD 0.45 million. These findings demonstrate that the integration of spatial hydrological analysis, stochastic simulation, and economic optimization provides a robust and scalable decision-support framework for cost-effective RWH planning in arid urban settings, with particular relevance to hyper-arid environments.

Keywords: Rainwater harvesting; Discrete event simulation; GIS-based hydrological analysis; Stochastic rainfall variability; Urban irrigation management; Cost–benefit analysis.

📚 Bibliografia

JOURNAL OF SIMULATION. Integrated Discrete Event Simulation Analysis of Rainwater Harvesting Performance and Cistern Storage Dynamics in Arid Environment. , 2026.

🧠 Minhas Notas & Análise

🎯 Objetivo

  • Resumo: This study presents an integrated hydrological–GIS–discrete event simulation (DES)–optimization framework to quantify the technical and economic potential of RWH in Sabah Al-Ahmad City, Kuwait, using historical rainfall data.
  • Introdução: This paper explores its feasibility in the arid context of Kuwait, employing forecasting techniques, Geographic Information Systems (GIS), and simulation methods to assess its viability. These tools provide a detailed analysis of how RWH can be effectively implemented, offering insights into optimal collection strategies and the potential impact on the region’s water resources.

🧬 Método

  • The developed framework integrates agricultural water demand assessment, rainfall analysis, spatial analysis using GIS, simulation modeling, and economic evaluation to provide a comprehensive and robust assessment.
  • To capture the stochastic nature of rainfall and evaluate storage performance under variable conditions, discrete-event simulation modeling (DES) was employed.
  • Optimization procedure was applied to determine efficient storage placement using the Minimum Spanning Tree (MST) method.
  • Finally, an economic evaluation was conducted to assess the financial feasibility of the proposed RWH system by estimating potential cost savings associated with substituting treated water with harvested rainwater for agricultural irrigation.
  • Economic feasibility was evaluated using a Net Present Value (NPV) framework, which converts upfront capital expenditures and recurring maintenance costs into present-value terms.

🏆 Resultados

  • Economic analysis indicates an effective harvested water cost of approximately 0.005 USD m−3. When compared with conventional water supplies, the integration of rainwater harvesting (RWH) with tertiary-treated wastewater reduces rainy-season irrigation costs by about 21%, resulting in seasonal savings of approximately USD 0.45 million.

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🔣 Bibliografia Latex

@misc{journalofsimulation2026,
  title = {Integrated {{Discrete Event Simulation Analysis}} of {{Rainwater Harvesting Performance}} and {{Cistern Storage Dynamics}} in {{Arid Environment}}},
  author = {{Journal of Simulation}},
  year = 2026,
}
 

🖍️ Notas e Destaques

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