长三角水土保持示范基地落地昆山 主体工程已基本完工,预计年内全面投用
Su Zhou Ri Bao·2025-10-24 00:43

Core Insights - The Long Triangle Integration Demonstration Zone Soil and Water Conservation Demonstration Base has been completed in Suzhou, Kunshan, and is expected to be fully operational by the end of the year [1][2] Group 1: Project Overview - The base is located at the Jiangsu Provincial Hydrology and Water Resources Survey Bureau Kunshan Monitoring Center and the comprehensive management center of the Dianshan Lake water area [1] - The project was officially named "Long Triangle Integration Demonstration Zone Soil and Water Conservation Demonstration Base" after completing its main construction in September [1] - The base consists of four functional areas: indoor intelligent exhibition hall, entrance display area, soil and water conservation display area, and soil and water conservation experimental area [1] Group 2: Infrastructure and Technology - The base includes facilities such as a water and hydrology integration consultation center, soil and water conservation publicity corridor, meteorological observation field, surface runoff field, ecological wetland, and bank protection [1] - It features an online remote monitoring system based on the provincial hydrology bureau's soil and water conservation video monitoring system [1][2] - The monitoring station has eight standard runoff plots and eight artificial slope protection runoff plots, making it the only site in Jiangsu Province, Taihu Basin, and the Long Triangle Demonstration Zone to construct artificial slope runoff plots [2] Group 3: Research and Collaboration - The base aims to promote breakthroughs in collaborative governance, scientific research transformation, technology application, and public participation within the demonstration zone [2] - It will enhance the water and soil conservation monitoring network under human disturbance conditions in Jiangsu Province and the Taihu Basin through data platform sharing [2] - The station employs fully automated monitoring equipment combined with smart sensors and big data technology to study soil erosion mechanisms under human disturbance in plain areas [2]