The noise generated by vehicular traffic is a major source of discomfort for urban residents and directly affects their quality of life. This study performed the monitoring of urban noise in the city of São Luís, Brazil. The data were collected at 25 sampling points throughout the city over a period of 6 months-1 week per month from Monday to Sunday between the hours of 11:00 and 13:00. The results showed that 23 points were above the limits established by NBR 10151/00. The analysis of variance showed significant differences between the points. Therefore, it is evident that the population is exposed to high levels of noise capable of generating public health problems. The two points within the NBR limits were recorded in an area with dense vegetation, showing the importance of the preservation of the vegetation.
Natural or anthropogenic chemical compounds of different origins often accumulate in estuarine regions. These compounds may alter the water quality. Therefore, It is important to constantly monitor the quality of estuarine regions. A combination of remote sensing and traditional sampling can lead to a better monitoring program for water quality parameters. The objective of this work is to assess the spatiotemporal variability of the physicochemical properties of water in the lower region of the Mearim River and estimate water quality parameters via remote sensing. Samples were collected at 16 points, from Baixo Arari to the mouth of the watershed, using a multiparameter meter and Landsat 8 satellite images. The physicochemical parameters of the water had high salinity levels, between 2.30 and 20.10 parts per trillion; a high total dissolved solids content, between 2.77 and 19.70 g/L; and minimum dissolved oxygen values. Estimating the physicochemical properties of the water via remote sensing proved feasible, particularly in the dry season when there is less cloud cover.
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