A Comprehensive Review Of Inventory Models In Rainwater Harvesting For Resource Management
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Abstract
Water scarcity presents a pressing challenge globally, especially in developing countries, urging the need for innovative strategies in water resource management. Rainwater harvesting (RWH) emerges as a promising solution, with recent attention focused on integrating inventory modeling techniques for optimized resource management. This review work explores the role of inventory modeling in enhancing RWH efficiency and sustainability, with a specific emphasis on developing nations like India. The review highlights the severity of water stress in India and the crucial role of RWH systems in mitigating scarcity, particularly in rural and urban areas. Initiatives such as the National Rural Drinking Water Programme underscore the growing recognition of RWH as a viable strategy. Literature reveals a rising interest in leveraging inventory management principles, like Economic Order Quantity (EOQ) models, to optimize RWH systems, improving water storage, distribution, and resilience. Despite benefits, challenges such as data scarcity and stakeholder engagement hinder integration. Recommendations for refining models and prioritizing engagement offer strategic pathways for advancement. This review emphasizes the transformative potential of inventory modeling in bolstering RWH sustainability. Through interdisciplinary collaboration and adaptive strategies, researchers and practitioners can effectively address water scarcity challenges and contribute to sustainable water management.
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References
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