Abstract:
Abstract: The monitoring of groundwater ecological environment is an important part of the battle against groundwater pollution prevention. The construction of the National Groundwater Environment Monitoring Network is steadily promoting. In order to grasp the current situation of the groundwater environment monitoring network, explore the development trend of the groundwater environment monitoring network, and use the investigation of the point size, monitoring method, monitoring indicators and frequency, platform construction of the national underground water monitoring projects in the European and American developed countries, and the construction of platform construction, as well as the construction of the platform, and platform construction The construction of the "14th Five -Year Plan" national groundwater environmental quality assessment point, the construction of the groundwater environment monitoring network of the national chemical park and the Beijing groundwater environment monitoring network, which summarizes the scale and operating model of groundwater environment monitoring at home and abroad. Relying on the development experience of the existing domestic and foreign groundwater monitoring networks, analyzes that my country has established the underground water environment monitoring network in China and lacks the regional background value of the monitoring network. The monitoring well structure design cannot meet the update of the later monitoring equipment. Exar expensive costs, data sharing and lack of application services. Combined with the development and application of emerging technologies such as big data analysis, artificial intelligence, and blockchain in recent years, analyzes the development trend of the future groundwater environment monitoring network in the field of water quality monitoring. Finally, combined with my country's monitoring well construction and management model, scientific suggestions are put forward for the construction of groundwater environment monitoring network.