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EN
The goals of the study presented in the article draw attention to the role of public transport stops in the spatial distribution of crime in the Stare Bałuty estate in Łódź, Poland. Answers are provided to the questions of spatio-temporal structure of criminal acts committed within the estate, the influence zone of transport stops as well as the assessment and effects of environmental crime predictors in their vicinity. Crime location quotient (LQC) was used to assess the intensity of crime and identify the influence zone that attracts certain categories of crimes to the vicinity of stops. The influence of environmental predictors on the level of threat was identified and assessed on the basis of B. Czarnecki’s method. The variables used in the analysis initially spanned 739 crimes and 53 public transport stops evaluated with regard to 20 safety aspects and their impact on the pro-crime effects on the scale of location as well as various forms and functions of urban development. A strong negative influence of public transport stops ‒ attracting various categories of crime, mostly property theft ‒ was discovered. The negative influence of stops on the concentration of crime within 200 metres is reinforced by the existence of environmental crime predictors. The recommendations and discussions resulting from the findings should influence the policy of crime prevention on the level of object location, management and the maintenance of socio-spatial order in the vicinity.
EN
This study identified the spatial distribution pattern of the ambient air quality in the Yogyakarta Urban Area. It was performed to determine the distribution pattern of SO2, CO, and NO2 concentrations for 2016–2019 (pre-pandemic) and 2020 (during pandemic). Furthermore, the spatial analysis was performed using the Inverse Distance Weighting interpolation method. This study proved that spatial modeling using this method has good accuracy, and it is easier to map the distribution pattern of ambient air quality. In 2020, most of the locations met the quality standard (62.64%). As a result, the SO2 and CO parameters immediately showed that most conditions are satisfactory. In 2016, the SO2 parameters met the quality standards at 74.24% of locations. In 2020, the number increased to 85.71%. In addition, the CO parameter reached the quality standard at 81.82% of locations in 2016 and a perfect level of 100% in 2020. This occurred due to the effects of the COVID-19 pandemic because most human and business activities decreased drastically. Therefore, all studies can be used as the basis for air quality modeling and post-COVID-19 predictions. This study is also important as a policy material in the monitoring and management system of ambient air quality in urban areas.
EN
The population dynamics of harmful microalgae was investigated in the semi-enclosed shallow lagoon, Tunis northern lagoon (South Mediterranean), during a 1-year period from January to December 2007. A total number of 16 potentially toxic dinoflagellates were identified. Density of each species was analyzed in time and space and in relation to environmental parameters. Some species such as Alexandrium catenella, A. pseudogonyaulax, A. tamarense, Dinophysis sacculus, Prorocentrum lima, P. minimum and Gonyaulax spinifera developed high cell concentrations, particularly during spring and summer seasons. Other species such as A. insuetum, A. lee, A. minutum, Coolia monotis, D. acuminata, D. caudata, D. fortii, Ostreopsis siamensis and P. concavum were detected in this coastal ecosystem, but they were rare or appeared in very low densities. Densities of the most abundant species were closely associated with spring and summer conditions, being positively correlated with water temperature and salinity. These species performed well in this lagoon, but the specific species-dependent affinity to each of the environment factors determined which organisms proliferated. The spatial distribution of the abundant species exhibited a marked increase towards the western and southern parts of the lagoon represented by sites C, D and E. Examination of the temporal distribution revealed that the species more prone to bloom are those with extensive spatial distribution and frequent presence throughout the year such as D. sacculus. Statistical analysis of D. sacculus density dynamics showed a significant difference between summer and winter assemblages. It presented a positive correlation with water temperature and salinity, but it seems to be tolerant to all levels of nutrients.
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