SOLUTION

SOLUTION

Rivers and Lakes


River and Lake Water Quality Monitoring Solution
Through advanced sensing technology, the Internet of Things (IoT), big data analytics, and artificial intelligence (AI), this solution provides comprehensive monitoring and management of water quality in rivers and lakes. It ensures that water quality meets national or local standards, protects the ecological environment, supports sustainable water resource utilization, and provides scientific basis for flood control, water supply, navigation, and other functions.

I. Solution Objectives
Ensure Water Body Health: Real‑time monitoring of water quality parameters to prevent pollution spread and protect aquatic ecosystems.

Optimize Resource Management: Rational allocation of water resources through data analysis to reduce waste.

Provide Early Warning for Sudden Pollution: Rapid response to water quality anomalies to lower environmental and social risks.

Support Smart Water Management: Integrate water quality monitoring into smart water systems to drive digital transformation.

II. Key Monitoring Parameters
1. Physical Indicators
Parameters monitored: Water temperature, turbidity, electrical conductivity, Dissolved Oxygen (DO), Oxidation‑Reduction Potential (ORP).
Significance: Reflect basic physical characteristics of the water body and provide initial water quality assessment.

2. Chemical Indicators
Parameters monitored: pH, Chemical Oxygen Demand (COD), Biochemical Oxygen Demand (BOD), Ammonia Nitrogen (NH₃‑N), Total Phosphorus (TP), Total Nitrogen (TN), heavy metal ions (e.g., lead, cadmium, mercury, etc.).
Significance: Ensure effective control of organic and inorganic pollutants in the water body.

3. Biological Indicators
Parameters monitored: Total bacterial count, coliforms, algae concentration.
Significance: Monitor microbial levels in the water body to prevent disease transmission and eutrophication.

4. Ecological Indicators
Parameters monitored: Species and abundance of phytoplankton, zooplankton, and benthic organisms.
Significance: Reflect the health status of the aquatic ecosystem.

5. Other Parameters
Parameters monitored: Flow velocity, water level, flow rate.
Significance: Provide hydrological information to support flood control scheduling and water resource management.

III. System Architecture
1. Perception Layer
Deploy multi‑parameter water quality sensors (pH, COD, ammonia nitrogen, DO, etc.) for real‑time data acquisition.

Install flow meters, water level gauges, and other devices at key nodes to monitor hydrological conditions.

2. Network Layer
Use wireless communication technologies (NB‑IoT, LoRa, 5G) to transmit collected data to the cloud or monitoring center.

Ensure communication network stability and security.

3. Platform Layer
Build an IoT cloud platform for data storage, processing, and analysis.

Provide data visualization interfaces for managers to view water quality status in real time.

4. Application Layer
Develop web and mobile applications to support remote monitoring, alert notifications, and data analysis.

Offer automatic control functions (e.g., closing discharge outlets, activating aeration equipment, etc.).

IV. Core Functions
Real‑time Monitoring: 24/7 monitoring of inflow, outflow, and key areas of rivers and lakes, generating dynamic data charts.

Intelligent Alerts: Set threshold ranges; trigger alarms automatically when water quality parameters exceed normal limits. Multi‑channel notifications (SMS, email, app push).

Data Analysis: Predict water quality trends based on historical data and machine learning algorithms. Provide scientific management recommendations (e.g., pollution source investigation, ecological restoration measures).

Automatic Control: Automatically adjust equipment operation based on monitoring data – e.g., activate aeration equipment when DO is too low; close discharge outlets when pollutant levels exceed standards.

Remote Management: Users can view water quality status and control relevant equipment via mobile phone or computer.

GIS Integration: Integrate with a Geographic Information System (GIS) to visually display water quality distribution and monitoring points in rivers and lakes.

Reports & Statistics: Automatically generate water quality monitoring reports for environmental authority review and internal management.

V. Implementation Steps
Requirement Analysis: Analyze river and lake scale, usage, and pollution sources; identify monitoring needs and key monitoring areas with critical parameters.

Solution Design: Select appropriate sensor types and technical solutions based on requirements; design data acquisition, transmission, and processing workflows.

Device Deployment: Install sensors, communication modules, and other equipment at key nodes of rivers and lakes; establish communication networks for smooth data transmission.

System Integration: Integrate the perception, network, and platform layers into a complete system; perform joint testing to verify system functions.

Operation & Maintenance: Regularly maintain monitoring equipment to ensure proper operation; continuously optimize system performance to meet practical needs.

VI. Application Scenarios
Urban Rivers: Monitor domestic sewage discharge and stormwater pipe network drainage to prevent water pollution.

Natural Lakes: Monitor eutrophication levels to prevent algal blooms.

Reservoir Water Sources: Ensure drinking water source safety and support water supply scheduling.

Water Bodies near Industrial Areas: Monitor industrial wastewater discharge to prevent pollution spread.

VII. Advantages
Real‑time Capability: Real‑time data collection and transmission for rapid response to water quality anomalies.

Accuracy: High‑precision sensors and data analysis techniques ensure reliable and accurate monitoring results.

Cost‑effectiveness: Reduce manual testing costs and extend equipment service life.

Scalability: Support integration with other smart water systems to create synergistic effects.

Environmental Friendliness: Reduce pollutant discharge and promote ecological protection.

The River and Lake Water Quality Monitoring Solution achieves refined and efficient water quality management through intelligent methods, not only improving water body management but also promoting sustainable development of the ecological environment.

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Qingdao Haiter Environmental Protection Technology Co., Ltd

ADDRESS:Liandong U Valley, No. 328 Chengkang Road, Xiazhuang
Subdistrict, Chengyang District, Qingdao City, Shandong Province

E-MAIL:qdhaiter@163.com

Copyright © 2026   Qingdao Haiter Environmental Protection Technology Co., Ltd   www.haiterhb.com  

ICP: Shandong ICP Filing No. 2021001700-1 Network Security Record No. 37021402001393 (Shandong)

Copyright © 2026   Qingdao Haiter Environmental Protection Technology Co., Ltd   www.haiterhb.com  

ICP: Shandong ICP Filing No. 2021001700-1 Network Security Record No. 37021402001393 (Shandong)