La presente investigación evaluó la relación entre los índices de vegetación y el cambio climático haciendo una evaluación multitemporal de imágenes Landsat para el periodo 1972 – 2018 en la laguna Paucarani, Tacna. La información utilizada corresponde a imágenes satelitales Landsat 5 y Landsat 8 nivel 1 T corregidas en nivel de reflectancia superficial seleccionadas de la plataforma Google Earth Engine en donde se generó el índice de vegetación de diferencia normalizada “NDVI” para los años 1986, 1995, 2010 y 2018 y el índice de agua de diferencia normalizada “NDWI”. Los resultados indican que los valores medios de NDVI más altos corresponden a los meses de diciembre a mayo con valores iguales o mayores a 0,1, por el contrario, en los meses de julio y agosto los valores medios de NDVI disminuyen, presentando el año 1986 el valor de 0,078 y el año 2018 el valo...

The research evaluated the relationship between vegetation indexes and climate change by making a multitemporal evaluation of Landsat images for the period 1972 - 2018 in the Paucarani lagoon, Tacna. The information used corresponds to satellite images Landsat 5 and Landsat 8 level 1 T corrected in level of surface reflectance selected from the Google Earth Engine platform where the normalized difference vegetation index "NDVI" was generated for the years 1986, 1995, 2010 and 2018; and also the normalized difference water index “NDWI”. The results indicate that the highest mean NDVI values correspond to the months of December to May with values equal to or greater than 0.1, on the contrary, in the months of July and August the mean NDVI values decrease, presenting the year 1986 the value of 0.078 and the year 2018 the value of 0.065. From the precipitation values it was verified that...

The study of the characterization of solid waste was carried out in the district La Yarada -Los Palos, Tacna Province, in order to analyze the home and non-domicile waste of homes, markets, schools, shops, hardware stores and curators. The methodology described by the Ministry of the Environment (2018) was used to determine the quantity and characteristics of solid waste by random sampling. The per capita generation of household solid waste was 0.470 kg/hab-day, in the physical composition, organic matter was found in greater quantity was 56.77 %, the average uncompacted density was 224,682 kg/m3 and the compacted 305,664 kg/m3. In terms of non-home waste, it was determined that educational institutions generate more solid waste at 38.47%, followed by grocery stores with 28.53%, fruit shops with 8.60%, restaurants 7.21% and places with 4.10%. With the information obtained, the manual lan...