Despite Being Distinguished as the 2020 European Green Capital, Lisbon Has Lost Public Green Areas over the Previous Decade

With the objective of assessing Lisbon’s environmental improvement and sustainable de- velopment, we measured the changes in Lisbon’s vegetation cover over the 2010–2020 timeframe considering three categories: public green areas (PGA), street trees (ST), and urban green infrastruc- ture (UGI). We calculated the vegetation cover (m2), vegetation cover per resident (m2 person−1), and % of vegetation cover. PGA and ST covers were made available by the municipality, while UGI cover was estimated from the NDVI calculated from multispectral satellite images (Landsat 7–8). Since only the PGA cover decreased 2% (the ST and UGI covers increased 38% and 5%, respectively), Lisbon has lost PGA over the previous decade. The values of PGA per resident were below the minimum value of 12 m2 person−1 at the city scale and in most parishes (19 parishes out of 24 in 2020). While the values of % of UGI were above the desired value of 30% at the city scale, in 2020 there were three parishes with values below the minimum of 5%. This information is important to prioritize measures that promote sustainable urbanization in those parishes. Our study raised many questions, suggesting the need to standardize the methods for measuring the urban vegetation.info:eu-repo/semantics/publishedVersio

Geographical distribution and monitoring of dengue in 141 municipalities in the center-west of Brazil: Distribuição geográfica e monitoramento de dengue em 141 municípios no centro-oeste do Brasil

In fact, it appears that dengue is characterized as a disease that has relevance to public health in the country. For the year 2019, 1,544,987 cases of dengue could be reported, with the presence of 782 confirmed deaths. Regarding the interruption of dengue epidemic cycles, it was noted that measures associated with vector control have not been successful. This study aims to analyze the spatial distribution associated with dengue cases present in the municipalities of the state of Mato Grosso, from 2015 to 2018, in order to identify the municipalities that have the highest risk rates related to the presence of arbovirus. Gross and Smoothed Rates were used through the Local Empirical Bayesian method. In order to calculate these Bayesian rates, a neighborhood matrix was developed with the presence of the continuity criterion that removed the zero risk of dengue from this calculation, thus minimizing the effects associated with the random fluctuations present in the areas that were monitored. Of course, the SaTScan software was used to calculate the Relative Risk (RR), and it was found that in this spatial scan clusters of low, medium and high risks were identified, demonstrating statistically significant data. The use of statistical techniques and spatial analysis employed in the study expanded the more detailed examination of the risk of transmission in the monitored areas, contributing significantly to the formulation and planning of integrated prevention and control strategies aimed at monitoring the arbovirus present in the state of Mato Grosso

Vegetal Cover Quality in Area of Permanent Preservation of Headsprings

The present work aims to, classify the different classes of land use and vegetation cover in the Grande stream basin, and quantify the state of preservation of the vegetation around the springs of the Grande stream, which belongs to the Ponte de Pedra basin (Rondonópolis-MT). The classification of land use was realized on ArcGIS 10.5 and the diagnostic of APPs preservation level from headspring, it gave as of generated map of land use and applied the Kappa index. The temporary cultivation (58%), discovered area (16%) and forest (15%) predominated among the land uses classes and vegetal cover. Between the 35 headspring, 23 are excellent in relation to vegetation on around, three very good, three good, three reasonable, one bad, and two terrible, the farming is that who more advanced over at APPs of headspring. The localization and quantification of land uses on headspring is a strong tool on planning and management in these areas

Modelagem do potencial de poluição hídrica da bacia hidrografica do rio manso - MT

O estudo visou modelar o potencial de poluição hídrica da bacia do rio Manso-MT. Assim, realizou-se com auxílio de um sistema de informações geográficas (SIG) mapeamentos temáticos em nível de sub-bacias das fontes pontuais e difusas de poluição existentes na bacia. Tais mapas foram padronizados em cinco categorias de potencial poluidor (PRADO; NOVO, 2005), e suas informações ponderadas e sintetizadas conforme proposta de modelagem de Chuvieco e Congalton (1989). Como resultados verificou-se que as sub-bacias com maior potencial de poluição hídrica são as que tem maior produção agropecuária e elevado potencial de erosão dos solos; e com menor potencial de poluição as com maior preservação das matas ciliares, menor potencial erosivo do solos e situadas a maior distância do reservatório de Manso. Como os resultados encontrados nesse estudo estão em conformidade com os verificados por outros estudos usando outras metodologias, concluiu-se que a metodologia empregada mostrou-se também mostrou-se consistente

Spatial analysis of visceral leishmaniasis in the municipality of Rondonópolis, in the Brazilian State of Mato Grosso, from 2003 to 2012: human, canine and vector distribution in areas of disease transmission

INTRODUCTION: Visceral leishmaniasis (VL) is a zoonosis of great importance to public health and is considered a neglected disease by the World Health Organization. The disease has expanded and become more prevalent in urban areas in Brazil. METHODS: Geospatial analyses were performed and thematic maps of the triad of the disease were produced for the study period (2003-2012) in the urban area of the municipality of Rondonópolis in the midwestern State of Mato Grosso (MT), Brazil, TerraView 4.2.2 software was used for the analyses. RESULTS: A total of 87.9% of the 186 confirmed human cases of VL were cured. Children between the ages of 1 and 4 were the most affected. Registered deaths were predominant among adults aged 60 years or older. The urban area of the municipality consists of eight strata and 12 census districts include 237 neighborhoods. All sectors had confirmed cases of VL. During the study period, human cases of the disease were recorded in 90 neighborhoods. The 23 deaths from the disease were distributed in 21 neighborhoods. Sandflies carrying the parasite were captured in 192 out of 200 neighborhoods evaluated for the presence of the VL vector. The presence of dogs carrying the parasite was confirmed in, 140 out of 154 surveyed neighborhoods. CONCLUSIONS: The data demonstrated the endemic nature of VL, with a high percentage of infected children, a high distribution of canine infection, and a wide adaptation and dispersal of the vectors in the urban environment. These results, illustrate the process of urbanization of VL in the municipality of Rondonópolis, MT, Brazil