A smart predictive framework for system-level stormwater management optimization
نویسندگان
چکیده
This study presents a global real-time control (RTC) approach for sustainable and adaptive management of stormwater. A network inter-connected devices are assumed to dynamically generate the required set-points system actuators at remote center where optimization algorithms calculate operational decision-making target values. These values activate local controllers manipulate spatially distributed detention basin's outlets enabling smart catchment scale optimal control. real world watershed with four nearby watercourse is chosen test applicability efficiency proposed dynamic approach, based on model simulation results. Results show that autonomous has ability enhance performance stormwater in terms quality quantity balance flow dynamics environmental demands, while reducing potential erosion receiving water bodies. Climate change specifically discussed as challenge designed framework. Although, criteria shown be affected by increased rainfall intensities compared actual scenarios, methodology still improves peak reduction time water, scale, up 54% 14 h respectively under climate conditions.
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ژورنال
عنوان ژورنال: Journal of Environmental Management
سال: 2021
ISSN: ['0301-4797', '1095-8630']
DOI: https://doi.org/10.1016/j.jenvman.2020.111505