Research On The Effectiveness Of Automatic Monitoring Data For Pollution Sources

Since the establishment and operation of the pollution source automatic monitoring system,the controversy surrounding the use of pollution source automatic monitoring data has never stopped.As an important part of proving enterprise discharge behavior,pollution source automatic monitoring data is an important technical means for current environmental protection and administrative law enforcement supervision,which can provide effective monitoring and law enforcement basis for environmental administrative departments and important data support for judicial judgments.Therefore,researching its data efficacy has a crucial impact on environmental law enforcement and judiciary.Automatic monitoring technology has made rapid progress in the field of technology.However,automatic monitoring data still faces multiple challenges in law enforcement and judicial practice,primarily in terms of its evidential and probative value.Specifically,these challenges include unclear regulations for evaluating the effectiveness of automatic monitoring data,difficulties in forming a chain of evidence,and a lack of unified standards and norms.These factors have to some extent reduced the frequency of using monitoring data and the credibility of automatic monitoring data,resulting in the effectiveness of automatic monitoring data not being fully realized.To strengthen the application of automatic monitoring data for pollution sources,clarify its legal effectiveness,and examine the causes of the problem of the effectiveness of automatic monitoring data in terms of theory,norms,and practice,this article proposes various methods to improve the existing system,including enhancing the legal status of automatic monitoring data for pollution sources,limited adoption of automatic monitoring data,and standardizing the review criteria for the evidential value of automatic monitoring data for pollution sources.These suggestions aim to enhance the existing system and better utilize automatic monitoring data for pollution sources.