The impact of environmental factors on water quality analysis has always been an important topic in scientific research. Among these factors, temperature is considered one of the key factors that may influence the determination of total nitrogen levels. This study focuses on seawater as the research object and aims to reduce the influence of temperature variations in marine environments on the measurements of an in-situ total nitrogen analyzer. Different environmental water temperatures were collected for the total nitrogen analyzer's measurement data using standard samples. The collected data was then processed using curve plots and regression analysis to establish a linear regression model for thein-situ total nitrogen analyzer. The experiment revealed that as the temperature increases, the absorbance values measured by the total nitrogen analyzer show a decreasing trend, which may lead to underestimated total nitrogen measurements. The results indicate that high temperatures can affect the stability of reagents and the chemical reactions inside the analyzer, thus affecting the measurement results. Based on these findings, a temperature correction model was introduced in this study. This study introduced a temperature correction model. The optimized method effectively reduced the impact of temperature on in-situ total nitrogen analyzer determination, thereby enhancing the accuracy and stability of measurements.
Clouds are visible aggregates of small water droplets, supercooled water droplets, ice crystals or their mixtures suspended in the atmosphere; sometimes they also contain some larger raindrops, ice particles and snow crystals whose bottoms do not touch the ground[1]. The observation of clouds is an important part of meteorological observation, and the accurate acquisition of cloud information is of great importance for climate research, weather forecasting, and water resources management, among many other fields. Cloud amount, cloud type and cloud base height are the three elements of cloud observation in meteorological operations, and are also important statistics when analyzing cloud data[2]. Currently, only the cloud height measurement has been achieved, while there are no mature technologies and instruments for observing cloud type and cloud amount, and is still achieved through manual observation. In this paper, the ground-based observation technologies of cloud type and amount have been summarized, and the research status of cloud type identification and cloud amount observation have been analyzed and compared. On the basis of the image processing technologies, the development trend of cloud type and amount observation technologies are prospected by considering the number, quality, and feature extraction methods of samples.
Monitoring wind field changes is of great importance for real-time weather forecasting, military environmental forecasting and space weather situation analysis. Compared with weather balloons, cup wind speed sensors, thermal wind speed sensors, ultrasonic anemometers, wind profilers and other wind measurement tools, laser wind lidar has the significant advantages of high measurement accuracy, meticulous measurement time detection distance. As the research continues, lidar gradually in the civil field as well as the military field has more and more broad application prospects. This paper briefly introduces the working principle of laser wind lidar. Highlights the development history of laser wind lidar. The various types of laser wind lidars are compared, and their respective characteristics are listed. Finally, the development trend and characteristics of laser wind lidar technology are briefly summarized.
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