![]() The level of water security relies on different interactions in the ecosystem functioning, societal needs, and hydroclimatic (HC) conditions. Harmonizing both uncertainty and complexity can provide efficiency and feasibility in the model outcomes ( Budamala & Mahindrakar 2020a). Complexity unveils with an upsurge of the model requirements. ![]() Besides, future scenarios are also a major concern that affect the identification of the system due to overwhelming variations in emission levels ( Luo et al. The IWPM system relies on different characteristics and consequences, it ultimately reflects uncertainty and complexity during the replication of the real-world phenomena ( Wang et al. Integrated Watershed Planning and Management (IWPM) delivers potential solutions in the basin behavior with long-term planning, promotes consistency and efficiency, optimizes the use of the water system, encourages and facilitates regional planning, provides flexible solutions, and enhances communication and community support ( Freas et al. Moreover, this study provides the potential framework for the enhancement of physical model predictions with the incorporation of hybrid concepts for problem-solving technology which can provide significant information on HC issues. The assessment of water security in UCR was showed in terms of scarcity and vulnerability indicators for median and low-level conditions, respectively. The results displayed that the proposed spatial optimization algorithm proved to be an effective and efficient approach in the approximation of HC models. Besides, it contains 2Emulator Model Fitting, Spatial Optimization, Parallel Computing, and Initial and Adaptive sampling to upgrade model efficiency, while UCR has inadequate groundwater and the assessment of freshwater security in UCR is more necessary for varying future climatic conditions. Here, the framework compiles both physical and machine learning concepts with adaptive technology for the replication of real-world scenarios. The proposed study focused on the parallel computing of emulator modeling-based spatial optimization to enhance the HC systems with the perspective of future freshwater security in the Upper Chattahoochee River basin (UCR). The approximation of the HC system faces major uncertainties and complexities due to the incorporation of heavy datasets, characteristics, and constraints. Future freshwater security relies on hydroclimatic (HC) shifts and regimes for sustainable development.
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