The environment has always been a problem that we should pay attention to! There are many problems in the treatment of industrial wastewater, which affect the quality and efficiency of industrial wastewater monitoring. So how much do you know about the problems that industrial wastewater monitoring will encounter? This chapter water quality online monitoring instrument manufacturers to understand the problems of industrial wastewater online monitoring work.
The Sewage Discharge Node is set Unreasonable
Industrial wastewater is mainly caused by the mixing of waste debris and water bodies produced in industrial production activities, which pollutes the environment and waters. If the placement and bonding procedures of on-site monitoring facilities are not reasonable, the sewage discharge location and node Settings are lack of systematic and scientific. At the same time, some inspection institutions lack a sense of responsibility and serious work attitude, often the heavily polluted wastewater storage, did not do timely treatment, resulting in poor sewage removal effect. The setting of sewage discharge node directly determines the quality of wastewater treatment work and affects the quality of surrounding environment.
The Industrial Wastewater Monitoring Work Lacks a Sound Supervision Mechanism
According to the regulations and requirements of relevant departments on wastewater monitoring work, the work needs to meet the ecological industry construction standards, and the inspection and control of water quality monitoring work should be continuously strengthened. However, some departments do not have a comprehensive understanding of the distribution pattern of industrial wastewater, and do not carry out a clear analysis of the nature and spreading effect of industrial wastewater, resulting in the lack of necessary basis for industrial wastewater supervision, wastewater supervision system and control facilities are not sound, reducing the quality and efficiency of wastewater monitoring work. Secondly, due to the unreasonable setting of drainage nodes in the early stage, the data collection work is difficult to carry out smoothly, and the supervision work in the later stage lacks objective data basis, which seriously restricts the adjustment of the overall ecological environment and the improvement of industrial production technology.
The Model Conversion Work is not Scientific
In order to improve the quality of industrial wastewater treatment, it is necessary to establish the corresponding model to determine the discharge node and estimate the wastewater flow. However, due to the low professional quality of some industrial departments and regulatory control personnel, it is difficult to realize the correct connection of the latest equipment, the modeling work is difficult, and the equipment placement work is often unreasonable, resulting in the key monitoring position is in a blank state, which is not conducive to the collection of verification data. At the same time, due to the difficulty in collecting verification data and unreasonable equipment placement, the authenticity of important data such as industrial wastewater flow rate is directly affected, and the results of model analysis are not convincing enough, and the conversion work between models is negatively affected.
Insufficient Data Application
The monitoring department usually reports the monitoring data directly to the environmental management department. Although it pays attention to the integrity and timeliness of the data, it does not process and analyze the data. In the application of the data, the environmental management department is likely to fail to grasp the key information presented by the data, and it is difficult to realize the data matching and symptomatic. On the other hand, the environmental management department is prone to the drawbacks of empirical treatment, even if the environmental monitoring issued detailed data, but can not achieve efficient use, coupled with insufficient management, it is difficult to fully collect pollution charges, resulting in the use of monitoring data is not high quality.
