Agricultural Non-Point Source Pollution Monitoring System Maintenance and Servicing

In May 2024, at the request of the Shanghai Academy of Environmental Sciences, Dianjiang Technology was commissioned to perform timely fault diagnosis and maintenance services for non-point source pollution monitoring equipment across Shanghai. The team successfully completed all maintenance work, effectively improving the performance and extending the service life of the monitoring instruments.

The DJ-Cloud Agricultural Non-Point Source Pollution Comprehensive Monitoring System utilizes advanced agricultural automatic sensors, combined with Internet of Things (IoT) and 5G technology. It enables real-time monitoring of farmland non-point source hydrology and water quality, analyzes the water balance process in core areas, and integrates multi-source data including meteorological information and soil moisture content. This system builds a comprehensive big data platform for agricultural non-point source pollution, providing strong technical support for understanding the national status of agricultural non-point source pollution and establishing a normalized, dynamic, and institutionalized long-term management mechanism.

Core Technologies

1. Optimization of Farmland Drainage Zoning and River Discharge Outlet Layout

Monitoring and assessment areas are delineated with irrigation (drainage) districts as the basic unit. Through on-site surveys, the locations of irrigation water intake points and river discharge outlets, as well as drainage zoning and the hydraulic relationships between upstream and downstream areas, are clearly identified. By applying farmland hydrological and water quality monitoring combined with model simulation technology, the farmland drainage zones and river discharge outlets are optimally configured. This achieves multi-objective optimization, balancing farmland flood drainage and waterlogging reduction with the reduction of agricultural non-point source pollution.

2. Synergistic Hydrological and Water Quality Monitoring of Agricultural Non-Point Source Pollution

The system centers on online automatic flow monitoring and automatic water quality sampling, supplemented by manual sampling when necessary. Online automated monitoring and sampling instruments are deployed at river discharge outlets and irrigation intake points. Depending on the output characteristics of non-point source pollutants from farmland precipitation and irrigation runoff, as well as pond cleaning runoff from aquaculture, different sampling frequencies — “dense first, then sparse” or “sparse first, then dense” — are adopted to fully capture the entire process of agricultural non-point source pollution load discharge.

3. Precise Assessment of Agricultural Non-Point Source Pollution Load Entering Rivers

Targeting the net riverine load of agricultural non-point source pollution, the system scientifically differentiates pollution loads across various periods, including flood and non-flood seasons, fertilization and non-fertilization periods, rainfall, irrigation and backflow periods, and heavy rain emergency drainage periods. Special attention is given to the critical periods of non-point source pollution discharge during pond cleaning in aquaculture. Based on precise assessment, the system provides important technical support for implementing targeted, location-specific measures to prevent and control agricultural non-point source pollution.