Accurate monitoring and estimation of heavy metal concentrations is an important process in the prevention and treatment of soil pollution. However, the weak correlation between spectra and heavy metals in soil makes it difficult to use spectroscopy in predicting areas with a risk of heavy metal pollution. In this paper, a method for detection of Ni in soil in eastern China using the fractional-order derivative (FOD) and spectral indices was proposed.
View Article and Find Full Text PDFThe main driving factors of river ecological environment were analyzed to reveal the response mechanism of river ecosystem to ecological environmental factors. The results showed that the driving factors of river water quality were resistivity, COD and reoxidation potential, the driving factors of soil environment along river banks were total phosphorus, total nitrogen and pH, and the driving factors of plant nutrition along river banks were total potassium and total nitrogen. The contribution rates of water quality, soil and plant to river ecological environment health were 43, 51 and 70%, respectively.
View Article and Find Full Text PDFDue to the COVID-19 pandemic outbreak, the home quarantine policy was implemented to control the spread of the pandemic, which may have a positive impact on the improvement of air quality in China. In this study, Google Earth Engine (GEE) cloud computing platform was used to obtain CO, NO, SO and aerosol optical depth (AOD) data from December 2018-March 2019, December 2019-March 2020, and December 2020-March 2021 in Shandong Province. These data were used to study the spatial and temporal distribution of air quality changes in Shandong Province before and after the pandemic and to analyze the reasons for the changes.
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