Outdoor air pollution is the most hazard challenge of many governments. Strictly policies followed by continue alert thresholds are being followed. Environmental issue canalized in air quality in the capital of Albania is the prior thematic analyzed in this paper. We figured to create a filter which gradually puzzles out the leading cause to exceed the limits settled by the WHO guidelines and the EU's AAQ directives. The paper tries to create potential scenario from the replacement of the passenger's vehicle fleet from the current Euro 3 to Euro 4 and over. The opportunity to structure evaluation maps for air assessment based on the outcome creates a clear overview of the current situation. Digital maps are a potential source of solution for many environmental issues. Spatial technology is fast and reliable to estimate population exposure to outdoor pollution. Geostatistical data offer reliable solution to perceive dispersion model issues. In this paper we concentrate on air pollution data (PM10).
The paper goal is to develop a spatial analyses of the most critical environmental issues in the country and how the population concerns could be addressed with the use of spatial technologies. Population perception of environment management relies on its minimum levels. In the recent past, static, fixed scale, multi use, highly accurate, permanent, paper maps compiled over a short period of time was the norm, meanwhile today's world uses a dynamic, single use, variable accuracy, variable scale, digital product made from data possibly retrieved from database derived from multiple sources. The opportunity to combine spatial technology associated with numerical data leading to a structured and genuine analyzes of the country issues turns to be an optimal strategy. We structure a set of digital maps encouraging decision-makers to rely their performance on spatial tools. Coastline pollution stands as a top priority. For the purpose of the analysis, the entire coastline was divided into sectors. Hence, further investigations could be addressed toward space-time relationship to cover the environmental evolution process, which may serve as an input for future predictions.
Waste management is a serious problem in developing countries. Solid waste (SW) statistics provide an indication of compliance with the targets of the Waste Framework Directives (WFD). This paper includes an analysis of specific variables that directly influence trends in the production of SW. Albania is divided into 12 first-level administrative units, counties. The objective of this paper is to concentrate on the geographical areas that provide the most striking results. The analyses use linear regression and Pearson correlation in which the dependent variable is waste generation and the independent variables, geographic, demographic and economic, are among those that are of greatest importance in the production of SW. The specific relationships are highly significant (r > 0.98) and are the input for the IDW interpolation maps. The disaggregated panorama is used to develop policy recommendations for waste management in the affected areas. Prediction of urban waste through a combination of mathematical equations and geographical tools is part of the results of this study.
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