| Summary: | 碩士 === 朝陽科技大學 === 環境工程與管理系碩士班 === 97 === Via the operation of the water quality continuous automatic monitoring system, we can effectively monitor the water body’s water quality variation in the irrigation area, and justify if there is abnormal water quality’s flowing. In order to assist the competent authorities of environmental protection to grasp the illeagal discharge instantaneously, to investigate and make sure the possible source of pollution, to enforce a ban, to lodge an accusation, and to take disciplinary action are important processes. The early warning of pH value abnormality can report immediately whether the water quality is abnormal; however, the monitoring of conductivity value can bring into the warning system and display an important role for the early warning.
After collecting the continuous automatic monitoring data of water quality, of the conductivity value and of four heavy metals concentrations (copper, zinc, chromium, and nickel) from electroplating industry’s manufacturing process, and of water body water quality at where the automatic monitoring stations, the research was conducted statistical analysis and found that the conductivity value of seven automatic monitoring stations was of unsymmetrical distribution. Each monitoring station belonged to right skewness except Niouchouzih station (being left skewness); to do time-series analysis, the variation of conductivity value roughly takes eight hours or ten hours as a cycle mostly; the R squared value of linear regression analysis between the conductivity and four heavy metals respectively (copper, zinc, chromium, and nickel) was not very high. From the result of correlation coefficient analysis, the conductivity had higher linearity with total heavy metal concentration. In addition, the research discovered that the conductivity value is directly proportional to the content of copper and nickel, and pH value has an opposite relationship with these four heavy metals, but it was not significant on statistics. Besides, the business owners of electroplating industry would use zinc and nickel while using copper, and it was significant on statistics. Moreover, the research found that the monitoring value variation of each automatic monitoring station was very high; in addition to the factors of the existing features of the water body and the disturbance of external water’s flowing in, the maintenance and rectification frequency should be more influential to the monitoring value. Presently, the instrument agents generally adopt the fixed mode of maintenance and rectification once a month, yet the frequency is too low. Therefore, the research suggest that people should evaluate to fix a more appropriate maintenance and rectification frequency depending on the instrument’s applicable scope, the monitoring station’s present-site environment and water quality condition to ensure the monitoring data’s accuracy and protect the user’s rights and interests.
Finally, the research did not conduct the practical measurement of each monitoring station’s present-site water body in same time series. Most of the relevant practical measurement data belong to the measurement result of a specific objective; hence, for the time being, the research could not do the exploration aiming at the relationship between the heavy metal in water and the conductivity value. The more precise follow-up research is awaited; furthermore, the cooperation between the continuous monitoring data and time-series analysis should be able to assist to grasp the specific time period of the measurement item’s water quality variation. If there is a breakthrough in follow-up exploration of relationship between the heavy metal and the conductivity value, the application of these two monitoring items should have more essential benefits to the in-situ monitoring system’s application to the water management of electroplating industry.
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