Research on the Construction of Intelligent Supervision System for Water Quality Protection of Dongting Lake by Digital Governance

Abstract

As a vital ecological barrier in the middle reaches of the Yangtze River, Dongting Lake’s water quality critically impacts regional ecology and economic development. Confronted with pollution from industrial activities, agricultural non-point sources, and shipping operations, traditional regulatory approaches face challenges including delayed monitoring, fragmented data, and insufficient coordination, which hinder effective governance. Therefore, establishing a smart regulatory system through digital governance has become crucial for enhancing water quality protection. This study employs digital governance theory to analyze traditional regulatory pain points, proposing a framework across five dimensions: monitoring perception, data integration, intelligent analysis, collaborative coordination, and institutional safeguards, while exploring implementation pathways. The research aims to support water quality governance and decision-making for Dongting Lake, advance the Yangtze River Economic Belt strategy, and provide replicable models for water environment management in China’s large-scale lakes.