Study on the strategies and technological prospects for digital and intelligent supervision of groundwater environment

With the advancement of digital technologies, particularly artificial intelligence, China,s groundwater environmental supervision is shifting from traditional to digital and intelligent models. To solve the core issues in China,s groundwater environmental supervision including poor data quality,fragmented management,and experience-based decision-making,this study proposes a digital and intelligent transformation strategy covering data collection,management,and application for groundwater environment. A smart data collection system with “full-domain perception,dynamic regulation,and secure sharing” is established,along with a data management approach centered on “standards as the framework,data as the foundation,and quality control as the core” and a data application system featuring “data integration, intelligent analysis, and collaborative decision-making”.Finally,taking the digital and intelligent transformation of groundwater environment supervision in Guangdong Province as a case study,this paper analyzes provincial-scale digital and intelligent strategies and technical pathways for groundwater environment data “collection,management,and application”,thereby providing support for improving the accuracy,coordination,and decisionmaking efficiency of groundwater environment supervision.