Construction of Environmental Management Decision Support System Based on Big Data

Facing increasingly severe environmental challenges, traditional environmental management approaches struggle to address complex ecological issues. Big data technology offers new pathways for environmental management decision-making. This paper systematically discusses building environmental management decision support systems based on big data, analyzing theoretical foundations, application models, technical dimensions, and practical innovations. Research shows that through multi-source data collection, analytical model construction, and decision algorithm optimization, these systems enable real-time monitoring analysis, precise pollution source identification, and environmental risk warning. The paper explores sustainable development paths and emphasizes industry-academia-research collaboration in driving innovation and application. Looking forward, with deeper integration of AI and IoT technologies, big data-based environmental management decision support systems will play increasingly important roles in environmental governance and ecological protection.